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Keywords = BRAFV600E mutation

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23 pages, 4635 KiB  
Article
Spontaneous Necrosis of a High-Risk Bladder Tumor Under Immunotherapy for Concurrent Malignant Melanoma: Role of BRAF Mutations and PD-L1 Expression
by Cristian Condoiu, Mihael Musta, Alin Adrian Cumpanas, Razvan Bardan, Vlad Dema, Flavia Zara, Cristian Silviu Suciu, Cristina-Stefania Dumitru, Andreea Ciucurita, Raluca Dumache, Hossam Ismail and Dorin Novacescu
Biomedicines 2025, 13(2), 377; https://doi.org/10.3390/biomedicines13020377 - 5 Feb 2025
Viewed by 697
Abstract
Background: Bladder cancer (BC) is a heterogeneous malignancy, and predicting response to immune checkpoint inhibitors (ICIs) remains a challenge. Herein, we investigate a high-risk bladder tumor, which developed during anti-BRAF/MEK therapy for a concurrent advanced BRAF-V600E-positive malignant melanoma (MM) and subsequently underwent [...] Read more.
Background: Bladder cancer (BC) is a heterogeneous malignancy, and predicting response to immune checkpoint inhibitors (ICIs) remains a challenge. Herein, we investigate a high-risk bladder tumor, which developed during anti-BRAF/MEK therapy for a concurrent advanced BRAF-V600E-positive malignant melanoma (MM) and subsequently underwent complete spontaneous necrosis following Nivolumab immunotherapy, only to recur thereafter while still under the same treatment. This unique scenario provided an opportunity to investigate the roles of BRAF gene mutations in BC pathogenesis, respectively, of PD-L1 expression in immunotherapy response prediction. Methods: We retrospectively analyzed BC specimens obtained via transurethral resection at two critical time-points: prior to the complete spontaneous necrosis under Nivolumab (prenecrosis) and after tumor recurrence postnecrosis (postnecrosis). The BRAF gene mutation status was evaluated using quantitative polymerase chain reaction (qPCR). PD-L1 expression was assessed by immunohistochemistry (IHC), quantified using the combined positive score (CPS), and a cutoff of ≥10 for positivity. Results: Neither pre- nor postnecrosis BC samples harbored BRAF gene mutations. Prenecrosis PD-L1 expression (CPS = 5) indicated a minimal likelihood of response to immunotherapy. However, complete spontaneous necrosis occurred under Nivolumab, followed by recurrence with further reduced PD-L1 expression (CPS = 1). Conclusions: The complete BC regression challenges the conventional role of PD-L1 as a sole predictive biomarker for immunotherapy. This study also highlights the potential role of BRAF/MEK inhibitors in BC oncogenesis and underscores the need for alternative biomarkers, such as tumor mutation burden (TMB) and circulating tumor DNA (ctDNA), to guide treatment selection in BC better. Full article
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Figure 1
<p>Imaging at initial presentation, i.e., details from contrast-enhanced computer tomography of thorax and abdomen, arterial phase, demonstrating malignant melanoma clinical stage at diagnosis (pT4b cN2 M1lym): (<b>A</b>) coronal view, primary lesion (red circle) in the right subscapular area; (<b>B</b>) axial view, right axillary adenopathic block (yellow circle); (<b>C</b>) axial view, large upper mediastinal adenopathy (green circle); (<b>D</b>) coronal view, right hilar and peribronchial adenopathic block (blue square).</p>
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<p>Contrast-enhanced computer tomography scan of the pelvis, axial view, and excretory phase (15 min), showing a voluminous recurrence of the bladder tumor during combined targeted chemotherapy (anti-BRAF/MEK) for malignant melanoma.</p>
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<p>Microscopic findings in prespontaneous bladder tumor necrosis tissue fragments obtained through transurethral resection (biopsy): (<b>A</b>) 200×, HE, nests of neoplastic urothelial cells in the deep portion of the proliferation, showing focal invasion of the submucosa; (<b>B</b>) 200×, HE, high-grade traits, G2 cellularity, in the superficial portion of the proliferation, with some mitotic activity; (<b>C</b>) 200×, HE, intratumoral vascular elements in the superficial portion of the proliferation; (<b>D</b>) 200×, IHC with anti-PD-L1 (Dako clone 22C3), moderate to intense staining reaction in tumor cells, and isolated infiltrating immune cells (CPS = 5%); (<b>E</b>) 200×, HE, high-grade area with abundant vascularity and tumor-associated inflammatory cells; (<b>F</b>) 200×, IHC with anti-PD-L1 (Dako clone 22C3), moderate to intense staining reaction in tumor cells and tumor-associated inflammatory cells (CPS = 5%).</p>
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<p>Microscopic findings in postspontaneous bladder tumor necrosis relapse tissue fragments obtained through transurethral resection: (<b>A</b>) 200×, HE, urothelial carcinoma proliferation, invading the basal membrane and superficial submucosa focally, while associating a significant submucosal desmoplastic reaction; (<b>B</b>) 200×, IHC with anti-PD-L1 (Dako clone 22C3), a moderate color reaction in tumor-associated inflammatory cells (CPS = 1); (<b>C</b>) 200×, HE, urothelial carcinoma proliferation, with abundant vascularization and a microcalcification focus; (<b>D</b>) 200×, IHC with anti-PD-L1 (Dako clone 22C3), a very weak color reaction in rare tumor-associated inflammatory cells (CPS = 1); (<b>E</b>) 200×, HE, urothelial carcinoma with a classic papillary-type growth pattern; (<b>F</b>) 200×, IHC with anti-PD-L1 (Dako clone 22C3), a weak color reaction in scarce tumor cells and a few tumor-associated inflammatory cells (CPS = 1).</p>
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18 pages, 3685 KiB  
Article
Targeting Ataxia Telangiectasia-Mutated and Rad3-Related for Anaplastic Thyroid Cancer
by Shu-Fu Lin, Chuen Hsueh, Wei-Yi Chen, Ting-Chao Chou and Richard J. Wong
Cancers 2025, 17(3), 359; https://doi.org/10.3390/cancers17030359 - 22 Jan 2025
Viewed by 684
Abstract
Background: Anaplastic thyroid cancer (ATC) is one of the most aggressive human malignancies and has a poor prognosis. Ataxia telangiectasia mutated and Rad3 related (ATR) is a key regulator for the DNA damage response and a potential target to treat cancer. Methods: We [...] Read more.
Background: Anaplastic thyroid cancer (ATC) is one of the most aggressive human malignancies and has a poor prognosis. Ataxia telangiectasia mutated and Rad3 related (ATR) is a key regulator for the DNA damage response and a potential target to treat cancer. Methods: We assessed the efficacy of BAY 1895344, an ATR inhibitor, in three ATC cell lines. Results: BAY 1895344 caused dose–response cytotoxicity in three ATC cell lines. BAY 1895344 induced S-phase and G2-phase arrest, activated caspase-3 activity and induced apoptosis in ATC cells. BAY 1895344 meaningfully retarded the tumor growth of an ATC xenograft model. BAY 1895344 therapy, combined with dabrafenib and trametinib, had synergism in vitro and revealed robust tumor growth suppression in vivo in two xenograft models of ATC harboring mutant BRAFV600E. Furthermore, the combination of BAY 1895344 with lenvatinib was more effective than either agent alone in a xenograft model of ATC. Conclusions: These results reveal that BAY 1895344 has potential in treating ATC. Full article
(This article belongs to the Section Cancer Therapy)
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Graphical abstract

Graphical abstract
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<p>BAY 1895344 induced cytotoxicity and increased p-H2AX (Ser139) expression in three ATC cell lines. (<b>A</b>) Cytotoxicity was determined in ATC cells incubated with a series of six two-fold dilutions of BAY 1895344, beginning from 1000 nmol/L. Dose–response curves were acquired following a 4-day treatment in 8505C, 8305C and KAT 18 cell lines using LDH assays. (<b>B</b>) The median-effect dose (IC<sub>50</sub>) of BAY 1895344 on day 4 was obtained for three ATC cell lines using CompuSyn software. (<b>C</b>) The levels of p-H2AX (Ser139) were assessed with Western blot in 8505C, 8305C, and KAT 18 cells treated with placebo or BAY 1895344 (500 nmol/L) for 24 h and 48 h. BAY 1895344 increased p-H2AX expression by 24 h and the effect persisted until 48 h in three ATC cell lines. The uncropped blots are shown in <a href="#app1-cancers-17-00359" class="html-app">Figure S1</a>.</p>
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<p>BAY 1895344 induced cell cycle arrest at the S phase and G2 phase. (<b>A</b>) Cell cycle analysis was performed using flow cytometry to measure DNA content in 8505C, 8305C and KAT 18 cells treated with placebo or BAY 1895344 (500 nmol/L) for 48 h. (<b>B</b>) BAY 1895344 treatment significantly increased the percentage of cells at the S and G2/M phase in 8505C, 8305C and KAT 18 cells. (<b>C</b>) Chromosomal appearance was evaluated in 8505C cells treated with BAY 1895344 (500 nmol/L) or placebo for 48 h using immunofluorescence confocal microscopy. Cells in the prophase (white arrowhead), prometaphase (yellow arrow), anaphase (white arrow), and telophase (yellow arrowhead) were identified. (<b>D</b>) The proportion of ATC cells in mitosis was assessed after treatment with placebo or BAY 1895344 (500 nmol/L) for 48 h. Cells were stained with DAPI and chromosome characteristics were assessed using immunofluorescence confocal microscopy. Mitotic index was assessed with a minimum of 1113 cells counted from at least ten different fields for each condition. BAY 1895344 significantly decreased the percentage of cells in mitosis in three ATC cell lines. Scale bar, 10 μm.</p>
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<p>BAY 1895344 increased caspase-3 activity and induced apoptosis in ATC cells. (<b>A</b>) The change in caspase-3 activity was measured using a fluorometric assay kit in 8505C, 8305C and KAT18 cells treated with placebo or BAY 1895344 (500 nmol/L) for 48 h. BAY 1895344 significantly increased caspase-3 activity in three ATC cell lines. (<b>B</b>) 8505C, 8305C and KAT18 cells were incubated with BAY 1895344 (500 nmol/L) or placebo for 48 h and early apoptosis was determined by an Annexin V FITC kit to detect Annexin V-positive/PI-negative staining using flow cytometry. (<b>C</b>) The statistical analysis of three independent experiments for each condition described in (<b>B</b>) showed that the percentage of early apoptotic cells was significantly increased with BAY 1895344 treatment in three ATC cell lines. (<b>D</b>) Sub-G1 apoptotic cells were detected by assessing the cellular DNA content with fluorescent flow cytometry in 8505C, 8305C and KAT18 cells treated with vehicle or BAY 1895344 (500 nmol/L) for 48 h. (<b>E</b>) The statistical analysis from three independent experiments for each condition described in (<b>D</b>) revealed the proportion of sub-G1 apoptotic cells was significantly increased with BAY 1895344 treatment in three ATC cell lines. (<b>F</b>) ATC cells were treated with vehicle or BAY 1895344 (500 nmol/L) for 24 and 48 h. Immunoblotting analysis showed the levels of cleaved PARP, a marker of apoptosis, were markedly increased following BAY 1895344 treatment by 48 h in 8505C cells and by 24 h in 8305C and KAT18 cells. The uncropped blots are shown in <a href="#app1-cancers-17-00359" class="html-app">Figure S1</a>.</p>
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<p>Combination therapies of BAY 1895344 with lenvatinib and BAY 1895344 with dabrafenib and trametinib in ATC cells. (<b>A</b>) The cytotoxicity of BAY 1895344, lenvatinib and combination treatment of BAY 1895344 and lenvatinib for a 4-day treatment was assessed in three ATC cell lines. The combination of BAY 1895344 and lenvatinib enhanced cytotoxic effects over single-agent treatment in three cell lines. (<b>B</b>) The combination index (CI) between BAY 1895344 and lenvatibib was calculated using CompuSyn software and plotted against the fraction affected (Fa) in 8505C, 8305C and KAT18 cells. BAY 1895344 plus lenvatinib had synergistic effects in 8305C, additive to synergistic in 8505C and synergistic to antagonistic in KAT18. (<b>C</b>) The cytotoxicity of BAY 1895344, dabrafenib plus trametinib and triple combination therapy following a 4-day incubation was evaluated in 8505C and 8305C cells. (<b>D</b>) CompuSyn software assessed the CI of BAY 1895344 and dabrafenib plus trametinib in 8505C and 8305C cells. The combination of BAY 1895344, dabrafenib and trametinib had synergistic effects in 8505C and 8305C cell lines. The horizontal dotted line represents CI = 1.</p>
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<p>BAY 1895344 suppressed 8505C tumor growth and sensitized 8505C tumors to dabrafenib and trametinib therapy. (<b>A</b>) Mice with 8505C tumors were treated orally for three cycles of vehicle, BAY 1895344, lenvatinib, BAY 1895344 and lenvatinib, dabrafenib plus trametinib or the triple combination of BAY 1895344 with dabrafenib plus trametinib. BAY 1895344, lenvatinib, BAY 1895344 and lenvatinib, dabrafenib plus trametinib and the triple combination significantly reduced 8505C tumor growth when compared with the control treatment (<span class="html-italic">p</span> &lt; 0.05 for all five comparisons). The combination of BAY 1895344 and lenvatinib did not significantly improve therapeutic efficacy compared to either single agent. Triple combination therapy of BAY 1895344 and dabrafenib plus trametinib therapy was superior in reducing 8505C tumor growth relative to either single regimen treatment. (<b>B</b>) Three weeks of treatment using dabrafenib plus trametinib was associated with a significant decrease in body weight as compared with the vehicle treatment, while the other treatment regimens did not lead to significant changes in body weight. (<b>C</b>) Representative images of mice with 8505C xenograft (arrowhead) were taken on day 21 after treatment. (<b>D</b>) Levels of p-H2AX (Ser139), cleaved caspase-3 and PCNA following BAY 1895344 treatment in 8505C tumors was assessed using Western blot. p-H2AX (Ser139) was increased by 28 h and the effect persisted until 32 h. Cleaved caspase-3 was increased at 8 h and 32 h. PCNA was transiently increased at 4 h and 8 h, but significantly decreased by 24 h. Black arrow: treatment with placebo, BAY 1895344, lenvatinib, dabrafenib plus trametinib and combination therapies. The uncropped blots are shown in <a href="#app1-cancers-17-00359" class="html-app">Figure S1</a>.</p>
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<p>BAY 1895344 potentiated 8305C xenograft to lenvatinib and dabrafenib plus trametinib treatment. (<b>A</b>) Mice bearing 8305C flank tumors were treated orally with vehicle, BAY 1895344, lenvatinib, BAY 1895344 and lenvatinib, dabrafenib plus trametinib or the triple combination of BAY 1895344 with dabrafenib plus trametinib for 21 days. BAY 1895344 did not significantly inhibit 8305C tumor growth. Lenvatinib, BAY 1895344 and lenvatinib, dabrafenib plus trametinib and the triple combination therapy significantly retarded 8305C tumor growth compared to the control (<span class="html-italic">p</span> &lt; 0.05 for all four comparisons). BAY 1895344 more significantly improved the therapeutic efficacy of lenvatinib and dabrafenib plus trametinib than either single-modality treatment during 21-day therapy. Tumor volume was persistently lower in the triple therapy group than the dabrafenib plus trametinib group on day 42. (<b>B</b>) BAY 1895344 did not significantly decrease body weight when compared with control mice after a 21-day treatment. Lenvatinib, BAY 1895344 and lenvatinib, dabrafenib plus trametinib and triple combination therapy slightly but meaningfully decreased body weight compared to control mice on day 21. (<b>C</b>) Representative photographs of mice with 8305C xenograft (arrowhead) were taken on day 21. Black arrow, treatment with placebo, BAY 1895344, lenvatinib, BAY 1895344 and lenvatinib, dabrafenib plus trametinib and the triple combination of BAY 1895344 and dabrafenib plus trametinib.</p>
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10 pages, 1011 KiB  
Article
Molecular Mutations and Clinical Behavior in Bethesda III and IV Thyroid Nodules: A Comparative Study
by Alexandra E. Payne, Coralie Lefebvre, Michael Minello, Mohannad Rajab, Sabrina Daniela da Silva, Marc Pusztaszeri, Michael P. Hier and Veronique-Isabelle Forest
Cancers 2024, 16(24), 4249; https://doi.org/10.3390/cancers16244249 - 20 Dec 2024
Viewed by 759
Abstract
Background: Thyroid cancer is the most common endocrine malignancy, and accurate diagnosis is crucial for effective management. Fine needle aspiration cytology, guided by the Bethesda System for Reporting Thyroid Cytopathology, categorizes thyroid nodules into six categories, with Bethesda III and IV representing indeterminate [...] Read more.
Background: Thyroid cancer is the most common endocrine malignancy, and accurate diagnosis is crucial for effective management. Fine needle aspiration cytology, guided by the Bethesda System for Reporting Thyroid Cytopathology, categorizes thyroid nodules into six categories, with Bethesda III and IV representing indeterminate diagnoses that pose significant challenges for clinical decision-making. Understanding the molecular profiles of these categories may enhance diagnostic accuracy and guide treatment strategies. Methods: This study retrospectively analyzed data from 217 patients with Bethesda III and IV thyroid nodules who underwent ThyroSeq v3 molecular testing followed by thyroid surgery at McGill University teaching hospitals. The analysis focused on the presence of specific molecular mutations, copy number alterations (CNAs), and gene expression profiles (GEPs) within these nodules. The relationship between these molecular findings and the clinico-pathological features of the patients was also examined. Results: This study identified notable differences in the molecular landscape of Bethesda III and IV thyroid nodules. Bethesda IV nodules exhibited a higher prevalence of CNAs and distinct GEPs compared to Bethesda III nodules. Interestingly, the BRAFV600E mutation was found exclusively in Bethesda III nodules, which correlated with more aggressive malignant behavior. These findings underscore the potential of molecular profiling to differentiate between the clinical behaviors of these indeterminate nodule categories. Conclusions: Molecular profiling, including the assessment of CNAs, GEPs, and specific mutations like BRAFV600E, provides valuable insights into the nature of Bethesda III and IV thyroid nodules. The distinct molecular characteristics observed between these categories suggest that such profiling could be instrumental in improving diagnostic accuracy and tailoring treatment approaches, ultimately enhancing patient outcomes in thyroid cancer management. Full article
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<p>A 46-year-old female with a 1 cm thyroid nodule that was diagnosed as Bethesda IV using FNA. ThyroseqV3 demonstrated the presence of <span class="html-italic">NRAS Q61R</span> mutation. Final pathology shows a well demarcated non-invasive follicular neoplasm with papillary-like nuclear features (NIFTP). Post-FNAB changes can be seen in the center of the nodule (<b>A</b>, red arrow). Higher magnification shows the follicular architecture and variable nuclear features of papillary thyroid carcinoma (<b>B</b>). The tumor was positive for NRAS Q61R using immunohistochemistry (<b>C</b>).</p>
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<p>A 27-year-old female with a 3 cm thyroid nodule that was diagnosed as Bethesda IV using FNA. ThyroseqV3 demonstrated the presence of <span class="html-italic">STRN::ALK</span> fusion. Final pathology was a papillary thyroid carcinoma, classical type, with predominant follicular architecture (<b>A</b>,<b>B</b>), showing overexpression of ALK using immunohistochemistry (<b>C</b>).</p>
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27 pages, 557 KiB  
Review
Braf-Mutant Melanomas: Biology and Therapy
by Elvira Pelosi, Germana Castelli and Ugo Testa
Curr. Oncol. 2024, 31(12), 7711-7737; https://doi.org/10.3390/curroncol31120568 - 3 Dec 2024
Viewed by 1299
Abstract
The incidence of melanoma, the most lethal form of skin cancer, has increased mainly due to ultraviolet exposure. The molecular characterization of melanomas has shown a high mutational burden led to the identification of some recurrent genetic alterations. BRAF gene is mutated in [...] Read more.
The incidence of melanoma, the most lethal form of skin cancer, has increased mainly due to ultraviolet exposure. The molecular characterization of melanomas has shown a high mutational burden led to the identification of some recurrent genetic alterations. BRAF gene is mutated in 40–50% of melanomas and its role in melanoma development is paramount. BRAF mutations confer constitutive activation of MAPK signalling. The large majority (about 90%) of BRAF mutations occur at amino acid 600; the majority are BRAFV600E mutations and less frequently BRAFv600K, V600D and V600M. The introduction of drugs that directly target BRAF-mutant protein (BRAF inhibitors) and of agents that stimulate immune response through targeting of immune check inhibitor consistently improved the survival of melanoma BRAFV600-mutant patients with unresectable/metastatic disease. In parallel, studies in melanoma stage II-III patients with resectable disease have shown that adjuvant therapy with ICIs and/or targeted therapy improves PFS and RFS, but not OS compared to placebo; however, neoadjuvant therapy plus adjuvant therapy improved therapeutic response compared to adjuvant therapy alone. Full article
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<p>Schematic representation of the structure of BRAF protein. BRAF protein is composed of 766 amino acids. Several functionally relevant structural regions are identified: BSR (BRAF-specific region); CR1 (Constant Region 1) containing two domains, RBD (Ras-binding domain) and CRD (Cystein-Rich Domain); CR2 (Constant Region 2); CR3 containing the kinase domain. Within the kinase domain, the activation loop is outlined with the most frequent missense mutations observed in melanomas.</p>
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17 pages, 3382 KiB  
Communication
Progressive Cachexia: Tuberculosis, Cancer, or Thyrotoxicosis? Disease-Directed Therapy and Atypical Courses of Autoimmune and Malignant Thyroid Diseases in a High Specialization Era: Case-Control Study with a Critical Literature Review
by Przemyslaw Zdziarski and Zbigniew Sroka
Biomedicines 2024, 12(12), 2722; https://doi.org/10.3390/biomedicines12122722 - 28 Nov 2024
Viewed by 1354
Abstract
Background. Critical and progressive cachexia may be observed in numerous medical disciplines, but in patients with various diseases, several pathways overlap (endocrine, inflammatory and kidney diseases, heart failure, cancer). Methods. Unlike numerous cohort studies that examine thyroid cancer and risk factors, a different [...] Read more.
Background. Critical and progressive cachexia may be observed in numerous medical disciplines, but in patients with various diseases, several pathways overlap (endocrine, inflammatory and kidney diseases, heart failure, cancer). Methods. Unlike numerous cohort studies that examine thyroid cancer and risk factors, a different method was used to avoid bias and analyze the sequence of events, i.e., the pathway. A case-control analysis is presented on patients with initial immune-mediated thyroiditis complicated by cachexia, presenting pulmonary pathology coexisting with opportunistic infection, and ultimately diagnosed with cancer (TC—thyroid cancer, misdiagnosed as lung cancer). Results. Contrary to other patients with lung cancer, the presented patients were not active smokers and exclusively women who developed cachexia with existing autoimmune processes in the first phase. Furthermore, the coexistence of short overall survival without cancer progression in the most seriously ill patients, as well as correlation with sex (contrary to history of smoking) and predisposition to mycobacterial disease, are very suggestive. Although we describe three different autoimmune conditions (de Quervain’s, Graves’, and atrophic thyroiditis), disturbances in calcium and metabolic homeostasis, under the influence of hormonal and inflammatory changes, are crucial factors of cachexia and prognosis. Conclusions. The unique sequence sheds light on immune-mediated thyroid disease as a subclinical paraneoplastic process modified by various therapeutic regimens. However, it is also associated with cachexia, systemic consequences, and atypical sequelae, which require a holistic approach. The differential diagnosis of severe cachexia, adenocarcinoma with pulmonary localization, and tuberculosis reactivation requires an analysis of immunological and genetic backgrounds. Contrary to highly specialized teams (e.g., lung cancer units), immunotherapy and general medicine in aging populations require a multidisciplinary, holistic, and inquiring approach. The lack of differentiation, confusing biases, and discrepancies in the literature are the main obstacles to statistical research, limiting findings to correlations of common factors only. Time-lapse case studies such as this one may be among the first to build evidence of a pathway and an association between inflammatory and endocrine imbalances in cancer cachexia. Full article
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<p>Initial patient selection. After initial selection, a small amount of patients was qualified, but contrary to most retrospective analyses of patients with thyroid cancer, in our clinical model, AITD preceded oncogenesis and may be with different types of AITD (i.e., de Quervain thyroiditis, Graves’ disease, Hashimoto/atrophic thyroiditis).</p>
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<p>Flowchart of clinical data collection and time-lapse analysis. Patients with autoimmune thyroid disease (AITD) were the starting point. The case-control study includes patient histories with well-characterized and differentiated autoimmune thyroid disease (AITD) complicated with infectious and neoplastic processes. TC was the sixth cancer in women; it was not observed in men. However, this could be apparent because the initial group consisted of patients with autoimmunity, which is more common in women with no difference between multiparous and childless. Comparing our AITDs where hyperthyroidism, hypothyroidism, or both occurred at different times, no clear effect of hypothyroidism and elevated TSH can be seen. AITD—autoimmune thyroid disease, PFS—progression-free survival, OS—overall survival, TSH—thyroid-stimulating hormone, FT3—free triiodothyronine, FT4—free thyroxine, CT—computer tomography.</p>
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<p>Modification of unique balance between pro- and anticancerous factors (i.e., hormonal and inflammatory signal, respectively) by microbiota (mycobacteria) and steroids. BRAF-BRAFV600E mutation; PTC—papillary thyroid cancer oncogene (RET/PTC), gks—glucocorticoids, MHC—Major Histocompatibility Complex, CTLA4—Cytotoxic T Lymphocyte Antigen-4; TG—thyreoglobulin, TSHR—thyreotropin receptor, TNF—cachectin, PFS—progression-free survival, OS—overall survival. The red symbol indicates the inhibitory effect; the green symbol indicates the stimulating effect.</p>
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15 pages, 2318 KiB  
Article
Circulating Tumor DNA Combining with Imaging Analysis for Lesion Detection of Langerhans Cell Histiocytosis in Children
by Siying Liu, Yongbing Zhu, Yu Chen, Yaqin Wang, Dedong Zhang, Jiasi Zhang, Yao Wang, Ai Zhang, Qun Hu and Aiguo Liu
Children 2024, 11(12), 1449; https://doi.org/10.3390/children11121449 - 27 Nov 2024
Viewed by 779
Abstract
Background: The detection of mutations from circulating tumor DNA (ctDNA) represents a promising enrichment technique. In this retrospective study, the significance of ctDNA and imaging in Langerhans cell histiocytosis (LCH) monitoring was first examined, and the broader role of ctDNA in monitoring LCH [...] Read more.
Background: The detection of mutations from circulating tumor DNA (ctDNA) represents a promising enrichment technique. In this retrospective study, the significance of ctDNA and imaging in Langerhans cell histiocytosis (LCH) monitoring was first examined, and the broader role of ctDNA in monitoring LCH was additionally explored. Methods: First, data visualization and survival analysis models were used to generalize the concordance between cfBRAFV600E molecular response and radiographic response on clinical outcomes. Next, the molecular response of cfBRAFV600E was observed from a dynamic perspective. A comparative analysis was then conducted between cfBRAFV600E and ltBRAFV600E status, examining their relationship to clinical manifestations and prognosis of LCH. Results: Eventually, 119 participants were enrolled in this trial between 2019 and 2023. Progression-free survival (PFS) was significantly shorter in patients with both radiologic and cfDNA molecular progression (17.67 versus 24.67 months, p < 0.05) compared to those without. A critical cfBRAFV600E value of 0.03% has been determined for the first time. Both cfBRAFV600E and ltBRAFV600E mutations were associated with a higher proportion of children under 3 years of age, skin and spleen involvement, and a lower 3-year PFS rate. In contrast to ltBRAFV600E, cfBRAFV600E was linked to a higher proportion of risk organ invasion LCH (52% vs. 27.9%, p < 0.05) and a better therapeutic response at the sixth week (24% vs. 4.7%, p < 0.05). Furthermore, in patients with risk organ invasion-LCH and multisystem-LCH subtypes, cfBRAFV600E was associated with a significantly lower 3-year PFS. Conclusions: In summary, these findings enhanced and supplemented the implications of ctDNA and imaging analysis application in children with LCH. Full article
(This article belongs to the Section Pediatric Hematology & Oncology)
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<p>(<b>A</b>) The Chinese Children’s Histiocytic Group (CCHG)-Langerhans Cell Histiocytosis (LCH)-2019 treatment regimen. (<b>B</b>) Flow diagram of patients: 119 newly diagnosed pediatric LCH cases (1–18 years of age) were studied between 2019 and 2023. SS-LCH: single system-LCH; MS-LCH: multisystem LCH; RO+-LCH: risk organ invasion LCH.</p>
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<p>(<b>A</b>) Spider plot demonstrating sustained mutation rates in 25 cfBRAF<sup>V600E</sup>-positive children with LCH. Patients were divided into two groups based on whether they experienced disease progression. Patients are represented either above or below the horizontal axis. Each curve represents an individual patient, and each point reflects the mutation value of the patient at a specific time. (<b>B</b>) ROC analyses of the truncated value of cfBRAF<sup>V600E</sup>. AUC: Area Under the Curve; CI: Confidence Interval. (<b>C</b>–<b>E</b>) Patients with either cfBRAF<sup>V600E</sup> or imaging progression had a significantly shorter progression-free survival (PFS) compared to those without cfBRAF<sup>V600E</sup> or imaging progression.</p>
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<p>Analyses of PFS by cfDNA molecular response and radiographic response assessment. The swimmer plot depicts the timing of radiographic response assessment, molecular response trajectory, and PFS for each evaluable patient with an increased percentage of cfDNA mutations. Patients were grouped according to their radiographic response and categorized as CR, PR, SD, and PD. The 5-column heatmap represents, from left to right, the proportion of cfDNA mutations, sex, and recurrence at time points C1M1, C2M1, and C3M1, respectively. Bars represent the PFS of the affected children. CR: complete response; PR: partial response; SD: stable disease; PD: progressive disease; C1M1: the 6th-week treatment timepoint; C2M1: the 12th-week treatment timepoint; and C3M1: the 18th-week treatment timepoint.</p>
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<p>Imaging features of left temporal bone lesions and proportion of mutations detected by digital PCR. A 2-year-old boy with a temporal bone lesion diagnosed as multisystem Langerhans cell histiocytosis–risk organ invasion. (<b>A</b>) T1-weighted imaging (T1WI) from lateral and frontal views shows the temporal bone and its surrounding tissues at the start of treatment and after 12 weeks of treatment. (<b>B</b>) The BRAF<sup>V600E</sup> mutation rate of the child detected by digital PCR after 6 and 12 weeks of treatment.</p>
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<p>(<b>A</b>) Clinical characteristics, treatment response, and outcomes between cfBRAF<sup>V600E</sup>-negative and cfBRAF<sup>V600E</sup>-positive. (<b>B</b>) Clinical characteristics, treatment response, and outcomes between ltBRAF<sup>V600E</sup>-negative and ltBRAF<sup>V600E</sup>-positive. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001. Y: Year; SS-LCH: single system Langerhans cell histiocytosis; MS-LCH: multisystem Langerhans cell histiocytosis; RO-: no risk organ invasion; RO+: risk organ invasion; CNS: central nervous system; PFS: progression-free survival; SS-UFB: unifocal bone disease; SS-MFB: multifocal bone disease.</p>
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<p>(<b>A</b>) Three-year progression-free survival (PFS) in the cfBRAF mutation cohort of 68 patients. (<b>B</b>) Three-year PFS in the cfBRAF mutation cohort of 68 patients. (<b>C</b>) Three-year PFS in the BRAF mutation cohort of 68 patients. (<b>D</b>,<b>G</b>,<b>H</b>) Patients with cfBRAF<sup>V600E</sup>-positive had a longer PFS compared to patients with cfBRAF<sup>V600E</sup>-negative in subtypes SS-LCH and MS-LCH, RO+ LCH. (<b>F</b>,<b>I</b>) Three-year PFS in the BRAF mutation cohort of 68 patients in subtypes SS-LCH and MS-LCH. (<b>E</b>) Patients with ltBRAF<sup>V600E</sup>-positive had a longer PFS compared to patients with ltBRAF<sup>V600E</sup>-negative in subtypes SS-LCH. SS-LCH: single system Langerhans cell histiocytosis; MS-LCH: multisystem Langerhans cell histiocytosis; RO+-LCH: risk organ invasion Langerhans cell histiocytosis. Group A: positive for both ltBRAF<sup>V600E</sup> and cfBRAF<sup>V600E</sup>; Group B: positive for either ltBRAF<sup>V600E</sup> or cfBRAF<sup>V600E</sup>; and Group C: negative for both mutations.</p>
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<p>Clinical characteristics in LCH children with cfBRAF<sup>V600E</sup>, ltBRAF<sup>V600E</sup>, BRAF<sup>exon12</sup>, or MAP2K1 mutations. (<b>A</b>) The pie chart shows the mutational status of the 91 patients in our cohort. (<b>B</b>) Dot plot shows age at diagnosis of patients with cfBRAF<sup>V600E</sup>, ltBRAF<sup>V600E</sup>, BRAF<sup>exon12</sup>, or MAP2K1 mutations. Error bars depict medians with interquartile ranges. (<b>C</b>–<b>E</b>) Bar charts demonstrate the percentage of patients with cfBRAF<sup>V600E</sup>, ltBRAF<sup>V600E</sup>, BRAF<sup>exon12</sup>, or MAP2K1 mutations having subtypes at LCH diagnosis. SS-LCH: single system Langerhans cell histiocytosis; MS-LCH: multisystem Langerhans cell histiocytosis; RO-: no risk organ invasion; RO+: risk organ invasion; SS-UFB: unifocal bone disease; SS-MFB: multifocal bone disease. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001.</p>
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15 pages, 11633 KiB  
Article
Expression of Mutated BRAFV595E Kinase in Canine Carcinomas—An Immunohistochemical Study
by Annika Bartel, Heike Aupperle-Lellbach, Alexandra Kehl, Silvia Weidle, Leonore Aeschlimann, Robert Klopfleisch and Simone de Brot
Vet. Sci. 2024, 11(11), 584; https://doi.org/10.3390/vetsci11110584 - 20 Nov 2024
Viewed by 2301
Abstract
Alterations of the BRAF gene and the resulting changes in the BRAF protein are one example of molecular cancer profiling in humans and dogs. We tested 227 samples of canine carcinomas from different anatomical sites (anal sac (n = 23), intestine ( [...] Read more.
Alterations of the BRAF gene and the resulting changes in the BRAF protein are one example of molecular cancer profiling in humans and dogs. We tested 227 samples of canine carcinomas from different anatomical sites (anal sac (n = 23), intestine (n = 21), liver (n = 21), lungs (n = 19), mammary gland (n = 20), nasal cavity (n = 21), oral epithelium (n = 18), ovary (n = 20), prostate (n = 21), thyroid gland (n = 21), urinary bladder (n = 22)) with two commercially available primary anti-BRAFV600E antibodies (VE1 Ventana, VE1 Abcam). The immunohistochemical results were confirmed with droplet digital PCR (ddPCR). BRAFV595E-mutated cases were found in canine prostatic (16/21), urothelial (17/22), and oral squamous cell carcinomas (4/18), while other carcinoma types tested negative. Both antibodies showed consistent results, with intracytoplasmic immunolabeling of tumour cells, making them reliable tools for detecting the BRAFV595E mutation in canine carcinomas. In conclusion, identifying BRAF mutations from biopsy material offers a valuable opportunity to enhance cancer treatment strategies (BRAF inhibitors) in canine urothelial carcinomas, prostatic carcinomas, and oral squamous cell carcinomas. Full article
(This article belongs to the Special Issue Focus on Tumours in Pet Animals)
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<p>Schematic illustration of the MAPK/ERK pathway (mitogen-activated protein kinase/extracellular signal-regulated kinase pathway). The binding of an extracellular ligand (purple triangle) to a transmembrane receptor leads to the activation of the G-protein RAS (rat sarcoma protein; orange) by replacing GDP with GTP. RAS binds to RAF (rapidly accelerated fibrosarcoma protein; red), leading to the activation of MEK1/2 (MAP/ERK kinase 1/2; blue), which itself activates ERK1/2 (extracellular signal-regulated kinase; pink).</p>
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<p>Results of immunohistochemical anti-BRAF<sup>V595E</sup> staining for all tested entities. Positive cases were found in urothelial carcinomas (UCA), prostatic carcinomas (PCA), and oral squamous cell carcinomas (OSCC).</p>
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<p>BRAF immunohistochemistry of prostatic carcinomas (<b>a</b>–<b>c</b>) and normal prostatic tissue (<b>d</b>); bar indicates 100 µm for (<b>a</b>–<b>d</b>). (<b>a</b>) Prostatic carcinoma (case 162), stained with the anti-BRAF<sup>V600E</sup> antibody from Abcam<sup>®</sup>. Tumour cells (T) are intensively labelled, while the non-neoplastic interstitium (I) is negative. (<b>b</b>) Negative reagent control to picture (<b>a</b>). (<b>c</b>) Prostatic carcinoma (case 151), stained with the anti-BRAF<sup>V600E</sup> antibody from Ventana<sup>®</sup>. Tumour cells (T) show positive immunolabelling, while the interstitium (I) remains negative. (<b>d</b>) Non-neoplastic prostatic glands (N) show no labelling, confirming the absence of the mutant BRAF protein.</p>
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<p>BRAF immunohistochemistry of prostatic carcinomas (<b>a</b>–<b>c</b>) and normal prostatic tissue (<b>d</b>); bar indicates 100 µm for (<b>a</b>–<b>d</b>). (<b>a</b>) Prostatic carcinoma (case 162), stained with the anti-BRAF<sup>V600E</sup> antibody from Abcam<sup>®</sup>. Tumour cells (T) are intensively labelled, while the non-neoplastic interstitium (I) is negative. (<b>b</b>) Negative reagent control to picture (<b>a</b>). (<b>c</b>) Prostatic carcinoma (case 151), stained with the anti-BRAF<sup>V600E</sup> antibody from Ventana<sup>®</sup>. Tumour cells (T) show positive immunolabelling, while the interstitium (I) remains negative. (<b>d</b>) Non-neoplastic prostatic glands (N) show no labelling, confirming the absence of the mutant BRAF protein.</p>
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<p>BRAF immunohistochemistry of urothelial carcinomas of the bladder (<b>a</b>–<b>c</b>) and normal urothelium (<b>d</b>); bar indicates 100 µm for (<b>a</b>–<b>c</b>) and 50 µm for (<b>d</b>). (<b>a</b>) A typical positive case of UC (case 222), stained with the anti-BRAF<sup>V600E</sup> antibody from Abcam<sup>®</sup>, showed strong cytoplasmic immunolabeling in tumour cells (T) with a clear distinction from the surrounding tissue (I). (<b>b</b>) The corresponding negative reagent control to picture (<b>a</b>). (<b>c</b>) Another UC case (case 227) with similar results was stained with the anti-BRAF<sup>V600E</sup> antibody from Ventana<sup>®</sup>. Tumour cells (T) show positive immunolabelling, while the interstitium (I) remains negative. (<b>d</b>) Non-neoplastic urothelial epithelium (N) was used as an internal negative control.</p>
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<p>BRAF immunohistochemistry of oral squamous cell carcinomas (<b>a</b>–<b>c</b>) and normal epithelium (<b>d</b>); bar indicates 100 µm for (<b>a</b>–<b>c</b>) and 50 µm for (<b>d</b>). (<b>a</b>) An exemplary case of OSCC (case 111), stained with the anti-BRAF<sup>V600E</sup> antibody from Abcam<sup>®</sup>, shows the intracellular presence of the mutated BRAF protein (T+), while the surrounding interstitial tissue (I) remains unstained. Notably, some parts of the tumour show no immunostaining (T−), highlighting the intratumoral heterogeneity of the BRAF mutation. (<b>b</b>) The corresponding negative reagent control to (<b>a</b>) confirms the specificity and sensitivity of the primary antibody. (<b>c</b>) Another case of OSCC (case 115) demonstrates a partly strong expression of the mutated BRAF protein (T+), as visualised here with the anti-BRAF<sup>V600E</sup> antibody from Ventana<sup>®</sup>. In contrast, other areas of the tumour show an absence of the mutated BRAF protein (T−). (<b>d</b>) Non-neoplastic epithelium (N) (case 115) adjacent to the tumour served as an internal negative control.</p>
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<p>Results from two samples (<b>a</b>,<b>b</b>) were analysed with ddPCR. Blue dots indicate positive droplets for the <span class="html-italic">BRAF<sup>V595E</sup></span> mutation, while green dots represent wild-type <span class="html-italic">BRAF</span>. Grey dots signify droplets that tested negative for both. The violet horizontal line marks the threshold to differentiate positive from negative droplets. (<b>a</b>) Results of a conventional OSCC testing positive for the <span class="html-italic">BRAF<sup>V595E</sup></span> mutation (case 115). (<b>b</b>) Results of a conventional OSCC testing negative for the <span class="html-italic">BRAF<sup>V595E</sup></span> mutation (case 119).</p>
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17 pages, 13647 KiB  
Article
Single-Nuclei Transcriptome Profiling Reveals Intra-Tumoral Heterogeneity and Characterizes Tumor Microenvironment Architecture in a Murine Melanoma Model
by Sushant Parab, Valery Sarlo, Sonia Capellero, Luca Palmiotto, Alice Bartolini, Daniela Cantarella, Marcello Turi, Annamaria Gullà, Elena Grassi, Chiara Lazzari, Marco Rubatto, Vanesa Gregorc, Fabrizio Carnevale-Schianca, Martina Olivero, Federico Bussolino and Valentina Comunanza
Int. J. Mol. Sci. 2024, 25(20), 11228; https://doi.org/10.3390/ijms252011228 - 18 Oct 2024
Viewed by 1336
Abstract
Malignant melanoma is an aggressive cancer, with a high risk of metastasis and mortality rates, characterized by cancer cell heterogeneity and complex tumor microenvironment (TME). Single cell biology is an ideal and powerful tool to address these features at a molecular level. However, [...] Read more.
Malignant melanoma is an aggressive cancer, with a high risk of metastasis and mortality rates, characterized by cancer cell heterogeneity and complex tumor microenvironment (TME). Single cell biology is an ideal and powerful tool to address these features at a molecular level. However, this approach requires enzymatic cell dissociation that can influence cellular coverage. By contrast, single nucleus RNA sequencing (snRNA-seq) has substantial advantages including compatibility with frozen samples and the elimination of a dissociation-induced, transcriptional stress response. To better profile and understand the functional diversity of different cellular components in melanoma progression, we performed snRNA-seq of 16,839 nuclei obtained from tumor samples along the growth of murine syngeneic melanoma model carrying a BRAFV600E mutation and collected 9 days or 23 days after subcutaneous cell injection. We defined 11 different subtypes of functional cell clusters among malignant cells and 5 different subsets of myeloid cells that display distinct global transcriptional program and different enrichment in early or advanced stage of tumor growth, confirming that this approach was useful to accurately identify intratumor heterogeneity and dynamics during tumor evolution. The current study offers a deep insight into the biology of melanoma highlighting TME reprogramming through tumor initiation and progression, underlying further discovery of new TME biomarkers which may be potentially druggable. Full article
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<p>Schematic diagram of study design workflow (<b>A</b>) Syngeneic D4M melanoma model. (<b>B</b>) Graphical representation of the experimental setup for nuclei purification and sequencing. The figure was created with BioRender. (<b>C</b>) Gating strategy for FACS isolation of a single nucleus isolated using Chromium Nuclei Isolation Kit. Single DAPI⁺ events were considered nuclei. (<b>D</b>) Computational pipeline.</p>
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<p>snRNA-seq of melanoma syngeneic tumors identifies main cell populations: (<b>A</b>) Left panel, clustering of 16,839 high-quality nuclei from D4M melanoma syngeneic tumor samples (n = 4) represented on a two-dimensional Uniform Manifold Approximation and Projection (UMAP) plot and grouped into six major cell types. Upper right panel, UMAP plot showing the distribution originating from early stage (n = 2) or advanced stage tumor samples (n = 2). (<b>B</b>) Bar plot showing the fraction of each cell type (melanoma cancer cells, myeloid cells, fibroblasts, T cells, endothelial cells, lymphatic endothelial cells) according to the origin samples, early stage or advanced stage tumors. (<b>C</b>) Feature plot assessing the gene expression levels of the selected cell-type specific marker genes: <span class="html-italic">Pax3</span> and Etv1 (melanoma cancer cells); Adgre1, Itgam (myeloid/macrophage cell population); Cdh11 and Loxl1 (fibroblasts); Cd247 and Ilr2b (T cells); Cdh5 and Vwf (endothelial cells); Flt4 (lymphatic endothelial cells). Gene expression patterns are projected onto UMAP. Scale: log-transformed gene expression. (<b>D</b>) Heatmap showing the top five differentially expressed genes in each cluster indicating the main cell populations. Clusters are identified on the left y-axis and gene symbols are listed on the top x-axis. Red indicates up-regulation and blue indicates down-regulation. Scale: log2 fold change.</p>
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<p>snRNA-seq of melanoma syngeneic tumors identifies main cell populations: (<b>A</b>) Left panel, clustering of 16,839 high-quality nuclei from D4M melanoma syngeneic tumor samples (n = 4) represented on a two-dimensional Uniform Manifold Approximation and Projection (UMAP) plot and grouped into six major cell types. Upper right panel, UMAP plot showing the distribution originating from early stage (n = 2) or advanced stage tumor samples (n = 2). (<b>B</b>) Bar plot showing the fraction of each cell type (melanoma cancer cells, myeloid cells, fibroblasts, T cells, endothelial cells, lymphatic endothelial cells) according to the origin samples, early stage or advanced stage tumors. (<b>C</b>) Feature plot assessing the gene expression levels of the selected cell-type specific marker genes: <span class="html-italic">Pax3</span> and Etv1 (melanoma cancer cells); Adgre1, Itgam (myeloid/macrophage cell population); Cdh11 and Loxl1 (fibroblasts); Cd247 and Ilr2b (T cells); Cdh5 and Vwf (endothelial cells); Flt4 (lymphatic endothelial cells). Gene expression patterns are projected onto UMAP. Scale: log-transformed gene expression. (<b>D</b>) Heatmap showing the top five differentially expressed genes in each cluster indicating the main cell populations. Clusters are identified on the left y-axis and gene symbols are listed on the top x-axis. Red indicates up-regulation and blue indicates down-regulation. Scale: log2 fold change.</p>
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<p>snRNA-seq of murine melanoma D4M tumors identifies 21 different cell clusters. (<b>A</b>) snRNA-seq of nuclei isolated from murine melanoma D4M tumors (n = 4). Dimensionality reduction and identification of clusters of transcriptionally similar cells were performed in an unsupervised manner using Seurat package. (<b>B</b>) UMAP plot showing the distribution originated from early stage (n = 2) or advanced stage tumor samples (n = 2).</p>
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<p>snRNA-seq reveal heterogeneity in melanoma cancer cells in murine melanoma D4M tumors. (<b>A</b>) Bar plot showing the fraction of each cluster (c0, c1, c2, c3, c4, c5, c6, c7, c11, c14, c19) associated to melanoma cancer cells within the total melanoma cancer cells, according to the origin samples, early stage (upper panel) or advanced stage tumors (bottom panel). (<b>B</b>) Heatmap showing the top 20 most up-regulated genes (ordered by decreasing <span class="html-italic">p</span> value) in each cluster defined in <a href="#ijms-25-11228-f003" class="html-fig">Figure 3</a>A and selected enriched genes used for biological identification of melanoma cancer cells heterogeneity among each cluster associated to melanoma cancer cells. Scale: log2 fold change. The top bars in color label corresponding to melanoma cancer cell clusters. Top bars in grey indicate clusters associated with a TME. Normalized gene expressions are shown. Full gene list for each cluster can be found in <a href="#app1-ijms-25-11228" class="html-app">Table S3</a>. (<b>C</b>) Gene set enrichment analysis among melanoma tumor cell clusters using hallmark pathways. Heatmap of the enrichment scores produced from gene set enrichment analysis using hallmark pathways. Red indicates up-regulation and blue indicates down-regulation. Clusters are indicated on the x-axis.</p>
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<p>snRNA-seq reveal heterogeneity in melanoma cancer cells in murine melanoma D4M tumors. (<b>A</b>) Bar plot showing the fraction of each cluster (c0, c1, c2, c3, c4, c5, c6, c7, c11, c14, c19) associated to melanoma cancer cells within the total melanoma cancer cells, according to the origin samples, early stage (upper panel) or advanced stage tumors (bottom panel). (<b>B</b>) Heatmap showing the top 20 most up-regulated genes (ordered by decreasing <span class="html-italic">p</span> value) in each cluster defined in <a href="#ijms-25-11228-f003" class="html-fig">Figure 3</a>A and selected enriched genes used for biological identification of melanoma cancer cells heterogeneity among each cluster associated to melanoma cancer cells. Scale: log2 fold change. The top bars in color label corresponding to melanoma cancer cell clusters. Top bars in grey indicate clusters associated with a TME. Normalized gene expressions are shown. Full gene list for each cluster can be found in <a href="#app1-ijms-25-11228" class="html-app">Table S3</a>. (<b>C</b>) Gene set enrichment analysis among melanoma tumor cell clusters using hallmark pathways. Heatmap of the enrichment scores produced from gene set enrichment analysis using hallmark pathways. Red indicates up-regulation and blue indicates down-regulation. Clusters are indicated on the x-axis.</p>
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<p>snRNA-seq reveals heterogeneity in myeloid/macrophage cells in murine melanoma D4M tumors. Gene expression signature of macrophages in murine D4M melanoma model. (<b>A</b>) Bar plot showing the proportion/fraction of each cluster (c8, c9, c12, c13, c15, c16) associated to myeloid cells within the total myeloid cells according to the origin samples, early stage (upper panel) or advanced stage tumors (bottom panel). (<b>B</b>) Dot plot heatmap showing the gene expression level of pan-macrophage, M1 macrophage, and M2 macrophage markers among clusters associated with myeloid cells (c8, c9, c12, c13, c15, c16). The color intensity of each dot represents the average level of marker gene expression, while the dot size reflects the percentage of the cells expressing the marker within the clusters. (<b>C</b>) Violin plots of log-transformed gene expression of selected genes showing statistically significant up-regulation in the indicated clusters associated with myeloid cells. (<b>D</b>) Gene ontology of differentially expressed genes among clusters associated with myeloid cells: c8, c9, c12, c13, c15, c16. The top 20 enriched GO biological processes and their associated fold enrichment and false discovery rate (FDR) are shown. Dot size correlates to the corresponding fold enrichment. A full report can be found in <a href="#app1-ijms-25-11228" class="html-app">Table S5</a>.</p>
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<p>CellChat analysis reveals cell–cell interactions in murine melanoma D4M tumors. (<b>A</b>) Total number of interactions identified in every cluster predicted by Seurat integration. Strength or weight of every interaction which further confirms few clusters that have the maximum strong interactions within different cell populations. (<b>B</b>) Interactions found in different/individual myeloid clusters, from which cluster c12 has the maximum stronger interactions as compared to others. (<b>C</b>) Cell–cell interactions between different myeloid clusters and T cells. (<b>D</b>) Bubble plot highlights some unique ligand–receptor interactions between a myeloid cluster (c12) and T cells (c18).</p>
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10 pages, 975 KiB  
Article
Overexpression of Osteopontin-a and Osteopontin-c Splice Variants Are Worse Prognostic Features in Colorectal Cancer
by Daniella Mattos, Murilo Rocha, Josiane Tessmann, Luciana Ferreira and Etel Gimba
Diagnostics 2024, 14(19), 2108; https://doi.org/10.3390/diagnostics14192108 - 24 Sep 2024
Cited by 1 | Viewed by 887
Abstract
Background: Osteopontin (OPN) is a glycoprotein involved in various physiological and pathological processes, and its aberrant expression in cancer cells is closely linked to tumor progression. In colorectal cancer (CRC), OPN is overexpressed, but the roles of its splice variants (OPN-SVs), OPNa, [...] Read more.
Background: Osteopontin (OPN) is a glycoprotein involved in various physiological and pathological processes, and its aberrant expression in cancer cells is closely linked to tumor progression. In colorectal cancer (CRC), OPN is overexpressed, but the roles of its splice variants (OPN-SVs), OPNa, OPNb, and OPNc, are not well understood. This study aimed to characterize the expression patterns of OPN-SVs and their potential diagnostic and prognostic implications in CRC using transcriptomic data deposited in TSVdb and TCGA. Methods: The expression patterns of each OPN-SV were analyzed using transcriptomic data deposited in TSVdb and TCGA, which were correlated to patient data available at cBioPortal. Results: Bioinformatic analysis revealed that OPNa, OPNb, and OPNc are overexpressed in CRC samples compared to non-tumor samples. Notably, OPNa and OPNc are overexpressed in CRC stages (II, III, and IV) compared to stage I. Higher levels of OPNa and OPNc transcripts are associated with worse overall survival (OS) and shorter progression-free survival (PFS) in CRC patients. Additionally, the expression of OPNa, OPNb, and OPNc is correlated with BRAFV600E mutations in CRC samples. Conclusions: These findings suggest that OPNa and OPNc, in particular, have potential as diagnostic and prognostic biomarkers, paving the way for their further evaluation in CRC diagnosis and prognosis. Full article
(This article belongs to the Special Issue Advances in the Diagnosis of Gastrointestinal Diseases—2nd Edition)
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<p>Expression levels of OPN-SV in colon carcinoma tissues: (<b>a</b>) OPN-SV expression levels in CRC tissues versus colorectal non-tumor tissues. The transcriptional levels of OPNa (black dots), OPNb (gray squares), and OPNc (gray diamonds) were assessed using TCGA data. Scatter plots the median transcriptional levels in CRC samples (<span class="html-italic">n</span> = 379), comprising 285 COAD tissue samples and 94 READ tissue samples, as well as non-tumor samples (<span class="html-italic">n</span> = 51) from TCGA. (<b>b</b>) mRNA levels of OPNa, OPNb, and OPNc were analyzed in CRC samples shown in panel (<b>a</b>), representing CRC stages (I–IV). Expression levels in (<b>a</b>,<b>b</b>) are derived from RNAseq data downloaded from TCGA, showing gene-level transcription estimates, as log2 transformed RSEM normalized counts. Statistical analysis was conducted using the Kruskal–Wallis test (<b>a</b>,<b>b</b>), with significance values adjusted by the Bonferroni correction for multiple comparisons. * <span class="html-italic">p</span> ≤ 0.05, *** <span class="html-italic">p</span> ≤ 0.001 indicate statistically significant values.</p>
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<p>Comparison of overall survival (OS) and progression-free survival (PFS) rates between the low and high OPN-SV expression levels in CRC patient samples. Overall survival is represented by Kaplan–Meier plots where the color lines represent the low (black line) and high (purple line) OPNa (<b>a</b>), OPNb (<b>b</b>), and OPNc (<b>c</b>) expression levels in CRC patient samples. The log-rank test was used to analyze differences in survival curves between the groups. PFS is represented by Kaplan–Meier plots where the color lines represent the low (black line) and high (red line). PFS time is represented by Kaplan–Meier curves, where the color lines represent the low (black line) and high (red line) OPNa (<b>d</b>), OPNb (<b>e</b>), and OPNc (<b>f</b>) expression levels in CRC patient samples. Log-rank <span class="html-italic">p</span> &lt; 0.05 was considered statistically significant. HR: hazards ratio; CI = confidence interval.</p>
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18 pages, 1394 KiB  
Review
Detection of the BRAFV600E Mutation in Circulating Free Nucleic Acids as a Biomarker of Thyroid Cancer: A Review
by Emilia Niedziela, Łukasz Niedziela, Aldona Kowalska and Artur Kowalik
J. Clin. Med. 2024, 13(18), 5396; https://doi.org/10.3390/jcm13185396 - 12 Sep 2024
Viewed by 1483
Abstract
Background: Liquid biopsy is a method that could potentially improve the management of thyroid cancer (TC) by enabling the detection of circulating tumor DNA and RNA (ctDNA, ctRNA). The BRAFV600E mutation appears to be the most representative example of a biomarker [...] Read more.
Background: Liquid biopsy is a method that could potentially improve the management of thyroid cancer (TC) by enabling the detection of circulating tumor DNA and RNA (ctDNA, ctRNA). The BRAFV600E mutation appears to be the most representative example of a biomarker in liquid biopsy, as it is the most specific mutation for TC and a target for molecular therapeutics. The aim of this review is to summarize the available data on the detection of the BRAFV600E mutation in liquid biopsy in patients with TC. Methods: A comprehensive analysis of the available literature on the detection of the BRAFV600E mutation in liquid biopsy in TC was performed. Thirty-three papers meeting the inclusion criteria were selected after full-text evaluation. Results: Eleven papers discussed correlations between BRAF mutation and clinicopathological characteristics. Nine studies tested the utility of BRAFV600E detection in the assessment of residual or recurrent disease. Seven studies investigated BRAF-mutated circulating tumor nucleic acids (ctNA) as a marker of response to targeted therapy. In seven studies the method did not detect the BRAFV600E mutation. Conclusions: This review shows the potential of BRAFV600E-mutated ctNA detection in monitoring disease progression, particularly in advanced TC. The diagnostic value of BRAFV600E-mutated ctNA detection appears to be limited to advanced TC. The choice of the molecular method (quantitative PCR [qPCR], droplet digital polymerase chain reaction [ddPCR], and next-generation sequencing [NGS]) should be made based on the turnaround time, sensitivity of the test, and the clinical indications. Despite the promising outcomes of some studies, there is a need to verify these results on larger cohorts and to unify the molecular methods. Full article
(This article belongs to the Special Issue Endocrine Malignancies: Current Surgical Therapeutic Approaches)
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<p>Detection of <span class="html-italic">BRAF<sup>V600E</sup></span> mutation in the plasma of patients with TC. Created with <a href="http://BioRender.com" target="_blank">BioRender.com</a> (accessed on 17 August 2024).</p>
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<p>Schematic representation of the conventional mitogen-activated protein kinase (MAPK) pathway. Mitogens stimulate the receptor tyrosine kinase, and activation of downstream kinases results in the phosphorylation of transcription factors responsible for cell growth, proliferation, and survival. Created with <a href="http://BioRender.com" target="_blank">BioRender.com</a> (accessed on 17 August 2024).</p>
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<p>PRISMA 2020 flow diagram of the article selection process [<a href="#B18-jcm-13-05396" class="html-bibr">18</a>].</p>
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17 pages, 2545 KiB  
Article
Impact of Genomic Mutation on Melanoma Immune Microenvironment and IFN-1 Pathway-Driven Therapeutic Responses
by Fátima María Mentucci, Elisa Ayelén Romero Nuñez, Agustina Ercole, Valentina Silvetti, Jessica Dal Col and María Julia Lamberti
Cancers 2024, 16(14), 2568; https://doi.org/10.3390/cancers16142568 - 17 Jul 2024
Cited by 1 | Viewed by 1473
Abstract
The BRAFV600E mutation, found in approximately 50% of melanoma cases, plays a crucial role in the activation of the MAPK/ERK signaling pathway, which promotes tumor cell proliferation. This study aimed to evaluate its impact on the melanoma immune microenvironment and therapeutic responses, particularly [...] Read more.
The BRAFV600E mutation, found in approximately 50% of melanoma cases, plays a crucial role in the activation of the MAPK/ERK signaling pathway, which promotes tumor cell proliferation. This study aimed to evaluate its impact on the melanoma immune microenvironment and therapeutic responses, particularly focusing on immunogenic cell death (ICD), a pivotal cytotoxic process triggering anti-tumor immune responses. Through comprehensive in silico analysis of the Cancer Genome Atlas data, we explored the association between the BRAFV600E mutation, immune subtype dynamics, and tumor mutation burden (TMB). Our findings revealed that the mutation correlated with a lower TMB, indicating a reduced generation of immunogenic neoantigens. Investigation into immune subtypes reveals an exacerbation of immunosuppression mechanisms in BRAFV600E-mutated tumors. To assess the response to ICD inducers, including doxorubicin and Me-ALA-based photodynamic therapy (PDT), compared to the non-ICD inducer cisplatin, we used distinct melanoma cell lines with wild-type BRAF (SK-MEL-2) and BRAFV600E mutation (SK-MEL-28, A375). We demonstrated a differential response to PDT between the WT and BRAFV600E cell lines. Further transcriptomic analysis revealed upregulation of IFNAR1, IFNAR2, and CXCL10 genes associated with the BRAFV600E mutation, suggesting their involvement in ICD. Using a gene reporter assay, we showed that PDT robustly activated the IFN-1 pathway through cGAS-STING signaling. Collectively, our results underscore the complex interplay between the BRAFV600E mutation and immune responses, suggesting a putative correlation between tumors carrying the mutation and their responsiveness to therapies inducing the IFN-1 pathway, such as the ICD inducer PDT, possibly mediated by the elevated expression of IFNAR1/2 receptors Full article
(This article belongs to the Special Issue Metastatic Melanoma: From Gene Profiling to Targeted Therapy)
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<p>Genetic and immunological landscape of BRAF mutations in SKCM. (<b>A</b>) Distribution of mutation frequencies in BRAF among skin cutaneous melanoma (SKCM) patients, sourced from cBioPortal (TCGA Pan-Cancer Atlas dataset). (<b>B</b>) Dot plot showing tumor mutational burden (TMB) comparison between BRAF wild type (WT) (<span class="html-italic">n</span> = 175) and BRAF V600E (<span class="html-italic">n</span> = 125) mutations in SKCM, quantified by the number of proteins carrying non-synonymous mutations. Statistical analysis was conducted using the Student <span class="html-italic">t</span>-test for unmatched samples: * <span class="html-italic">p</span> &lt; 0.05. (<b>C</b>) Mutation frequency distribution in BRAF among SKCM patients, sourced from Xena (TCGA Pan-Cancer Atlas dataset). (<b>D</b>) Bar plot showing the classification of immune subtypes in SKCM patients based on BRAF WT (<span class="html-italic">n</span> = 48) and BRAF V600E (<span class="html-italic">n</span> = 49) mutations.</p>
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<p>Response variation of melanoma cell lines to immunogenic cell death inducers and associated gene expression profiles in the context of BRAF mutation. Melanoma cell lines with BRAF wild-type (SK-MEL-2, pink line) or BRAF V600E mutations (SK-MEL-28 and A375, black lines) were exposed to increasing doses of the ICD inducers: (<b>A</b>) photodynamic therapy (PDT): cells were first incubated with increasing doses of the pro-drug Me-ALA (0–2 mM) for 4 h, followed by irradiation with a light dose of 1 J/cm<sup>2</sup> (λ: 636 nm); (<b>B</b>) doxorubicin (DXR): cells were incubated to increasing doses of the chemotherapeutic (0–12 µg/mL) for 24 h; (<b>C</b>) cisplatin (CP): cells were incubated to increasing doses of the chemotherapeutic (0–800 µg/mL) for 24 h. Cell viability was assessed 24 h after treatment using the resazurin assay and expressed as a percentage of non-treated cells (100% represented by the dotted line). Dose–response curves were generated using non-linear regression analysis (GraphPad Prism). (<b>D</b>) Heatmap illustrating mRNA expression levels of genes associated with immunogenic cell death (ICD), particularly DAMPs or their modulators, in BRAF wild-type (<span class="html-italic">n</span> = 175) and BRAF V600E (<span class="html-italic">n</span> = 125) melanoma samples sourced from cBioPortal (TCGA Pan-Cancer Atlas dataset). Statistical analysis was conducted using the Student <span class="html-italic">t</span>-test for unmatched samples: *** <span class="html-italic">p</span> &lt; 0.0001. * <span class="html-italic">p</span> &lt; 0.05. (<b>E</b>) Dot plots showing mRNA expression levels of genes with statistically significant differences in BRAF V600E samples compared to BRAF wild-type samples. Statistical analysis was conducted using the Student <span class="html-italic">t</span>-test for unmatched samples: **** <span class="html-italic">p</span> &lt; 0.0001. * <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Assessment of IFN-1 Pathway Activation in Melanoma Cells Exposed to Immunogenic and Non-Immunogenic Cell Death Inducers. (<b>A</b>) Gene reporter assay was performed using the IFN-1 pathway reporter cell line SK-MEL-2-IFN exposed to the non-ICD inducer cisplatin (CP) (800 µg/mL) for 24 h. GFP expression on live cells was quantified from flow cytometry data using FlowJo. Data is presented as the percentage of GFP-positive (GFP+) cells representing IFN-1 pathway activation (left), with analysis of the level of IFN-1 activation in GFP+ positive cells performed from GeoMean data (center), all normalized to values corresponding to untreated cells (100% represented by the dotted line). Statistical analysis was conducted using the Student <span class="html-italic">t</span>-test for unmatched samples: ** <span class="html-italic">p</span> &lt; 0.01. Representative histograms are shown (right). (<b>B</b>) Gene reporter assay was performed using the IFN-1 pathway reporter cell line SK-MEL-2-IFN exposed to the immunogenic cell death (ICD) inducer doxorubicin (DXR) (6 µg/mL) for 24 h. GFP expression on live cells was quantified from flow cytometry data using FlowJo. Data is presented as the percentage of GFP-positive (GFP+) cells representing IFN-1 pathway activation (left), with analysis of the level of IFN-1 activation in GFP+ positive cells performed from GeoMean data (center), all normalized to values corresponding to untreated cells (100% represented by the dotted line). Statistical analysis was conducted using the Student <span class="html-italic">t</span>-test for unmatched samples: absence of asterisks indicates a statistically non-significant difference. Representative histograms are shown (right). (<b>C</b>) Gene reporter assay was performed using the IFN-1 pathway reporter cell line SK-MEL-2-IFN exposed to the ICD inducer photodynamic therapy (PDT). Cells were first incubated with the pro-drug Me-ALA (1 mM) for 4 h, followed by irradiation with a light dose of 1 J/cm<sup>2</sup> (λ: 636 nm). GFP expression on live cells was quantified from flow cytometry data using FlowJo. Data is presented as the percentage of GFP-positive (GFP+) cells representing IFN-1 pathway activation (left), with analysis of the level of IFN-1 activation in GFP+ positive cells performed from GeoMean data (center), all normalized to values corresponding to untreated cells (100% represented by the dotted line). Statistical analysis was conducted using the Student <span class="html-italic">t</span>-test for unmatched samples: ** <span class="html-italic">p</span> &lt; 0.01. Representative histograms are shown (right).</p>
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<p>Modulation of IFN-1 Pathway Activation by PDT mediated by cGAS-STING signaling. Gene reporter assay was performed using the IFN-1 pathway reporter cell line SK-MEL-2-IFN exposed to the immunogenic cell death (ICD) inducer photodynamic therapy (PDT) in the presence or absence of the STING inhibitor H151 (1 mM and 10 mM). Cells were first incubated with the pro-drug Me-ALA (1 mM) for 4 h with or without H151 or vehicle (DMSO), followed by irradiation with a light dose of 1 J/cm<sup>2</sup> (λ: 636 nm). GFP expression on live cells (L/D negative), indicative of IFN-1 pathway activation, was quantified from flow cytometry data using FlowJo. The data is presented as the percentage of GFP-positive (GFP+) cells representing IFN-1 pathway activation (<b>A</b>), with analysis of the level of IFN-1 activation in GFP+ positive cells performed from GeoMean data (<b>B</b>), all normalized to values corresponding to untreated cells (100% represented by the dotted line). Statistical analysis was conducted using two-way ANOVA with Tukey’s post hoc test: ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001. Representative dot plots are shown (<b>C</b>).</p>
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24 pages, 1977 KiB  
Review
Target-Driven Tissue-Agnostic Drug Approvals—A New Path of Drug Development
by Kyaw Z. Thein, Yin M. Myat, Byung S. Park, Kalpana Panigrahi and Shivaani Kummar
Cancers 2024, 16(14), 2529; https://doi.org/10.3390/cancers16142529 - 13 Jul 2024
Cited by 3 | Viewed by 3271
Abstract
The regulatory approvals of tumor-agnostic therapies have led to the re-evaluation of the drug development process. The conventional models of drug development are histology-based. On the other hand, the tumor-agnostic drug development of a new drug (or combination) focuses on targeting a common [...] Read more.
The regulatory approvals of tumor-agnostic therapies have led to the re-evaluation of the drug development process. The conventional models of drug development are histology-based. On the other hand, the tumor-agnostic drug development of a new drug (or combination) focuses on targeting a common genomic biomarker in multiple cancers, regardless of histology. The basket-like clinical trials with multiple cohorts allow clinicians to evaluate pan-cancer efficacy and toxicity. There are currently eight tumor agnostic approvals granted by the Food and Drug Administration (FDA). This includes two immune checkpoint inhibitors, and five targeted therapy agents. Pembrolizumab is an anti-programmed cell death protein-1 (PD-1) antibody that was the first FDA-approved tumor-agnostic treatment for unresectable or metastatic microsatellite instability-high (MSI-H) or deficient mismatch repair (dMMR) solid tumors in 2017. It was later approved for tumor mutational burden-high (TMB-H) solid tumors, although the TMB cut-off used is still debated. Subsequently, in 2021, another anti-PD-1 antibody, dostarlimab, was also approved for dMMR solid tumors in the refractory setting. Patients with fusion-positive cancers are typically difficult to treat due to their rare prevalence and distribution. Gene rearrangements or fusions are present in a variety of tumors. Neurotrophic tyrosine kinase (NTRK) fusions are present in a range of pediatric and adult solid tumors in varying frequency. Larotrectinib and entrectinib were approved for neurotrophic tyrosine kinase (NTRK) fusion-positive cancers. Similarly, selpercatinib was approved for rearranged during transfection (RET) fusion-positive solid tumors. The FDA approved the first combination therapy of dabrafenib, a B-Raf proto-oncogene serine/threonine kinase (BRAF) inhibitor, plus trametinib, a mitogen-activated protein kinase (MEK) inhibitor for patients 6 months or older with unresectable or metastatic tumors (except colorectal cancer) carrying a BRAFV600E mutation. The most recent FDA tumor-agnostic approval is of fam-trastuzumab deruxtecan-nxki (T-Dxd) for HER2-positive solid tumors. It is important to identify and expeditiously develop drugs that have the potential to provide clinical benefit across tumor types. Full article
(This article belongs to the Special Issue Tissue Agnostic Drug Development in Cancer)
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<p>Overview of the FDA-approved tumor-agnostic treatment. Abbreviations: Microsatellite instability-high (MSI-H); mutations/megabase (mut/Mb); deficient mismatch repair (dMMR); programmed cell death protein-1 (PD-1); programmed cell death ligand-1 (PD-L1); tumor mutational burden-high (TMB-H); B-Raf pro-to-oncogene serine/threonine kinase (<span class="html-italic">BRAF</span>); human epidermal growth factor receptor 2 (HER2); mitogen-activated protein kinase (<span class="html-italic">MEK</span>); neurotrophic tyrosine receptor kinase (<span class="html-italic">NTRK</span>); rearranged during transfection (<span class="html-italic">RET</span>). X denotes the site of the action of the drug via their mechanism of action.</p>
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<p>Timeline of FDA-approved immune checkpoint inhibitors for tissue-agnostic indications.</p>
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<p>Timeline of FDA-approved targeted therapy for tissue-agnostic indications.</p>
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14 pages, 1669 KiB  
Article
Primary Tumor Characteristics as Biomarkers of Immunotherapy Response in Advanced Melanoma: A Retrospective Cohort Study
by Rachel S. Goodman, Seungyeon Jung, Kylie Fletcher, Hannah Burnette, Ismail Mohyuddin, Rebecca Irlmeier, Fei Ye and Douglas B. Johnson
Cancers 2024, 16(13), 2355; https://doi.org/10.3390/cancers16132355 - 27 Jun 2024
Viewed by 1098
Abstract
Identifying patients likely to benefit from immune checkpoint inhibitor (ICI) treatment remains a crucial goal for melanoma. The objective of this study is to assess the association between primary tumor features and immunotherapy response and survival in advanced melanoma patients. In this single-center [...] Read more.
Identifying patients likely to benefit from immune checkpoint inhibitor (ICI) treatment remains a crucial goal for melanoma. The objective of this study is to assess the association between primary tumor features and immunotherapy response and survival in advanced melanoma patients. In this single-center retrospective cohort study, disease characteristics, response to immunotherapy, PFS, and OS were assessed among melanoma patients (excluding mucosal and uveal primaries) treated with ICI. Among 447 patients, 300 (67.1%) received anti-PD-1 monotherapy and 147 (32.9%) received ipilimumab/nivolumab. A total of 338 (75.6%) had cutaneous melanoma, 29 (6.5%) had acral melanoma, and 80 (17.9%) had melanoma of unknown primary. Ulceration and stage at initial presentation were associated with inferior outcomes on univariate analysis. However, on multivariate analysis, this result was not observed, but cutaneous melanoma and each of its subtypes (superficial spreading, nodular, other, unknown) were positively associated with response, longer PFS, and longer OS. Metastatic stage (M1c, M1d) at presentation (OR = 1.8, p < 0.05) and BRAFV600E mutation status (OR = 1.6, p < 0.001) were associated with shorter PFS. This study is limited by its retrospective and single-center design. Cutaneous melanoma and its subtypes were significantly associated with response, PFS, and OS compared with acral or unknown primary melanoma. Full article
(This article belongs to the Section Cancer Immunology and Immunotherapy)
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<p>Primary tumor characteristics and progression-free survival. Progression-free survival by (<b>A</b>) subtype of melanoma; (<b>B</b>) Breslow thickness; (<b>C</b>) stage at presentation; (<b>D</b>) ulcerated vs. non-ulcerated.</p>
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<p>Primary tumor characteristics and overall survival. Overall survival by (<b>A</b>) subtype of melanoma; (<b>B</b>) Breslow thickness; (<b>C</b>) stage at presentation; (<b>D</b>) ulcerated vs. non-ulcerated.</p>
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28 pages, 2995 KiB  
Systematic Review
The Long Journey towards Personalized Targeted Therapy in Poorly Differentiated Thyroid Carcinoma (PDTC): A Case Report and Systematic Review
by Odysseas Violetis, Panagiota Konstantakou, Ariadni Spyroglou, Antonios Xydakis, Panagiotis B. Kekis, Sofia Tseleni, Denise Kolomodi, Manousos Konstadoulakis, George Mastorakos, Maria Theochari, Javier Aller and Krystallenia I. Alexandraki
J. Pers. Med. 2024, 14(6), 654; https://doi.org/10.3390/jpm14060654 - 18 Jun 2024
Cited by 2 | Viewed by 2448
Abstract
Background: Poorly differentiated thyroid carcinoma (PDTC) has an intermediate prognosis between indolent well-differentiated thyroid carcinoma (TC) and anaplastic carcinoma. Herein, we present a case report with a PDTC component, along with a systematic review of the literature. Case Report: We report a case [...] Read more.
Background: Poorly differentiated thyroid carcinoma (PDTC) has an intermediate prognosis between indolent well-differentiated thyroid carcinoma (TC) and anaplastic carcinoma. Herein, we present a case report with a PDTC component, along with a systematic review of the literature. Case Report: We report a case of a 45-year-old man diagnosed with a PDTC component, along with hobnail and tall-cell variant features positive for BRAFV600E mutation, after a total thyroidectomy and neck dissection. Radioactive iodine (RAI)-131 therapy was applied, but an early recurrence led to complementary surgeries. The anti-Tg rise, the presence of new lymph nodes, and the negative whole-bodyradioiodine scan were suggestive of a radioiodine-resistant tumor. Lenvatinib, sorafenib, dabrafenib/trametinib, cabozantinib and radiotherapy were all administered, controlling the tumor for a period of time before the patient ultimately died post-COVID infection. Systematic Review: We searched PubMed, Scopus, and WebofScience to identify studies reporting clinicopathological characteristics, molecular marker expression, and management of non-anaplastic TC with any proportion of PDTC in adult patients. Of the 2007 records retrieved, 82were included in our review (PROSPERO-ID545847). Conclusions: Our case, together with the systematic review, imply that a combination of molecular-targetedtreatments may be safe and effective in patients with RAI-resistantBRAF-mutated advanced PDTC when surgery has failed to control tumor progression. Full article
(This article belongs to the Section Molecular Targeted Therapy)
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<p>Invasive front with a solid pattern and nuclear atypia (HE × 250).</p>
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<p>Increased 18-F FDG uptake in the left sphenoid sinus. First image: CT scan, second image: merged CT and PET scan, third image: FDG uptake.</p>
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<p>Response to cabozantinib treatment: differentiation of right supraclavicular lymph block before (<b>B</b>) and after (<b>A</b>) treatment; metastatic foci size reduction before (<b>D</b>) and after (<b>C</b>) treatment, respectively.</p>
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<p>Patient timeline. Arrows depict the time frame of each treatment and the cumulative treatment. The respective PFS is depicted in months (m). anti-Tg: anti-thyroglobulin antibodies, G: grade, LND: lymph node dissection, mono: monotherapy, PFS: progression-free survival, PPES: palmar–plantar erythrodysesthesia syndrome, PTC: papillary thyroid carcinoma, RAI: radioactive iodine, RT: radiotherapy, Tg: thyroglobulin, TKI: tyrosine kinase inhibitor.</p>
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<p>PRISMA flow diagram.</p>
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21 pages, 1885 KiB  
Guidelines
Recommendations for the Management of Patients with Hairy-Cell Leukemia and Hairy-Cell Leukemia-like Disorders: A Work by French-Speaking Experts and French Innovative Leukemia Organization (FILO) Group
by Jérôme Paillassa, Elsa Maitre, Nadia Belarbi Boudjerra, Abdallah Madani, Raihane Benlakhal, Thomas Matthes, Eric Van Den Neste, Laura Cailly, Luca Inchiappa, Mohammed Amine Bekadja, Cécile Tomowiak and Xavier Troussard
Cancers 2024, 16(12), 2185; https://doi.org/10.3390/cancers16122185 - 10 Jun 2024
Cited by 1 | Viewed by 2941
Abstract
Introduction: Hairy-cell leukemia (HCL) is a rare B-cell chronic lymphoproliferative disorder (B-CLPD), whose favorable prognosis has changed with the use of purine nucleoside analogs (PNAs), such as cladribine (CDA) or pentostatin (P). However, some patients eventually relapse and over time HCL becomes resistant [...] Read more.
Introduction: Hairy-cell leukemia (HCL) is a rare B-cell chronic lymphoproliferative disorder (B-CLPD), whose favorable prognosis has changed with the use of purine nucleoside analogs (PNAs), such as cladribine (CDA) or pentostatin (P). However, some patients eventually relapse and over time HCL becomes resistant to chemotherapy. Many discoveries have been made in the pathophysiology of HCL during the last decade, especially in genomics, with the identification of the BRAFV600E mutation and cellular biology, including the importance of signaling pathways as well as tumor microenvironment. All of these new developments led to targeted treatments, especially BRAF inhibitors (BRAFis), MEK inhibitors (MEKis), Bruton’s tyrosine kinase (BTK) inhibitors (BTKis) and recombinant anti-CD22 immunoconjugates. Results: The following major changes or additions were introduced in these updated guidelines: the clinical relevance of the changes in the classification of splenic B-cell lymphomas and leukemias; the increasingly important diagnostic role of BRAFV600E mutation; and the prognostic role of the immunoglobulin (IG) variable (V) heavy chain (H) (IGHV) mutational status and repertory. We also wish to insist on the specific involvement of bones, skin, brain and/or cerebrospinal fluid (CSF) of the disease at diagnosis or during the follow-up, the novel targeted drugs (BRAFi and MEKi) used for HCL treatment, and the increasing role of minimal residual disease (MRD) assessment. Conclusion: Here we present recommendations for the diagnosis of HCL, treatment in first line and in relapsed/refractory patients as well as for HCL-like disorders including HCL variant (HCL-V)/splenic B-cell lymphomas/leukemias with prominent nucleoli (SBLPN) and splenic diffuse red pulp lymphoma (SDRPL). Full article
(This article belongs to the Section Cancer Survivorship and Quality of Life)
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<p>Diagnostic algorithm for hairy-cell leukemia (HCL) and HCL-like disorders: HCL variant (HCL-V), splenic diffuse red pulp lymphoma (SDRPL), splenic marginal zone lymphoma (SMZL), B-cell prolymphocytic leukemia (B-PLL). # Determination of % of villous lymphocytes/total abnormal lymphocytes (<math display="inline"><semantics> <mrow> <mi mathvariant="normal">i</mi> <mi mathvariant="normal">f</mi> <mo>≥</mo> <mn>20</mn> <mo>%</mo> </mrow> </semantics></math> → SDRPL). * Exclusion of MCL or CLL related-PLL if CD5+: karyotype t(11;14) or SOX11/CCND1 and Matutes RMH score. Dim: diminished expression, med: medium expression; neg: negative expression.</p>
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<p>Therapeutic algorithm for treatment of patients with hairy-cell leukemia (HCL). * one or more of the following criteria: (1) Hb &lt; 11 g/dL and/or platelets &lt; 100 G/L and/or neutrophils &lt; 1 G/L, (2) symptomatic organomegaly, (3) constitutional symptoms (fever, weight loss, night sweats), (4) recurrent infections. ** sc cladribine or iv pentostatin.</p>
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<p>Therapeutic algorithm for treatment of patients with hairy-cell leukemia variant (HCL-V). * one or more of the following criteria: (1) Hb &lt; 11 g/dL and/or platelets &lt; 100 G/L and/or neutrophils &lt; 1 G/L, (2) symptomatic organomegaly, (3) constitutional symptoms (fever, weight loss, night sweats), (4) recurrent infections.</p>
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<p>Therapeutic algorithm for treatment of patients with splenic diffuse red pulp lymphoma (SDRPL). * one or more of the following criteria: (1) Hb &lt; 11 g/dL and/or platelets &lt; 100 G/L and/or neutrophils &lt; 1 G/L, (2) symptomatic organomegaly, (3) constitutional symptoms (fever, weight loss, night sweats), (4) recurrent infections.</p>
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