Want et al., 2019 - Google Patents
Neoantigens retention in patient derived xenograft models mediates autologous T cells activation in ovarian cancerWant et al., 2019
View PDF- Document ID
- 14687121533723051694
- Author
- Want M
- Konstorum A
- Huang R
- Jain V
- Matsueda S
- Tsuji T
- Lugade A
- Odunsi K
- Koya R
- Battaglia S
- Publication year
- Publication venue
- Oncoimmunology
External Links
Snippet
Ovarian cancer (OC) has an overall modest number of mutations that facilitate a functional immune infiltrate able to recognize tumor mutated antigens, or neoantigens. Although patient-derived xenografts (PDXs) can partially model the tumor mutational load and mimic …
- 210000001744 T-Lymphocytes 0 title abstract description 99
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
- G01N33/48—Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/5005—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving human or animal cells
- G01N33/5008—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving human or animal cells for testing or evaluating the effect of chemical or biological compounds, e.g. drugs, cosmetics
- G01N33/5044—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving human or animal cells for testing or evaluating the effect of chemical or biological compounds, e.g. drugs, cosmetics involving specific cell types
- G01N33/5047—Cells of the immune system
-
- C—CHEMISTRY; METALLURGY
- C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
- C12Q—MEASURING OR TESTING PROCESSES INVOLVING ENZYMES OR MICRO-ORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
- C12Q1/00—Measuring or testing processes involving enzymes, nucleic acids or micro-organisms; Compositions therefor; Processes of preparing such compositions
- C12Q1/68—Measuring or testing processes involving enzymes, nucleic acids or micro-organisms; Compositions therefor; Processes of preparing such compositions involving nucleic acids
- C12Q1/6876—Hybridisation probes
- C12Q1/6883—Hybridisation probes for diseases caused by alterations of genetic material
- C12Q1/6886—Hybridisation probes for diseases caused by alterations of genetic material for cancer
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
- G01N33/48—Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
- G01N33/50—Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
- G01N33/53—Immunoassay; Biospecific binding assay
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/10—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
- G06F19/28—Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for programming tools or database systems, e.g. ontologies, heterogeneous data integration, data warehousing or computing architectures
-
- C—CHEMISTRY; METALLURGY
- C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
- C12Q—MEASURING OR TESTING PROCESSES INVOLVING ENZYMES OR MICRO-ORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
- C12Q2600/00—Oligonucleotides characterized by their use
- C12Q2600/158—Expression markers
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Gide et al. | Distinct immune cell populations define response to anti-PD-1 monotherapy and anti-PD-1/anti-CTLA-4 combined therapy | |
Wu et al. | A local human Vδ1 T cell population is associated with survival in nonsmall-cell lung cancer | |
Zheng et al. | Landscape of infiltrating T cells in liver cancer revealed by single-cell sequencing | |
Gunderson et al. | Germinal center reactions in tertiary lymphoid structures associate with neoantigen burden, humoral immunity and long-term survivorship in pancreatic cancer | |
Van der Leun et al. | CD8+ T cell states in human cancer: insights from single-cell analysis | |
Balan et al. | Large-scale human dendritic cell differentiation revealing notch-dependent lineage bifurcation and heterogeneity | |
Li et al. | Tumor cell-intrinsic factors underlie heterogeneity of immune cell infiltration and response to immunotherapy | |
Puig-Saus et al. | Neoantigen-targeted CD8+ T cell responses with PD-1 blockade therapy | |
Meier et al. | Bystander T cells in cancer immunology and therapy | |
Mognol et al. | Exhaustion-associated regulatory regions in CD8+ tumor-infiltrating T cells | |
Zheng et al. | Transcriptomic profiles of neoantigen-reactive T cells in human gastrointestinal cancers | |
Brownlie et al. | Expansions of adaptive-like NK cells with a tissue-resident phenotype in human lung and blood | |
Mei et al. | Siglec-9 acts as an immune-checkpoint molecule on macrophages in glioblastoma, restricting T-cell priming and immunotherapy response | |
Want et al. | Neoantigens retention in patient derived xenograft models mediates autologous T cells activation in ovarian cancer | |
Smith et al. | Machine-learning prediction of tumor antigen immunogenicity in the selection of therapeutic epitopes | |
Linette et al. | Immunological ignorance is an enabling feature of the oligo-clonal T cell response to melanoma neoantigens | |
Pai et al. | Lineage tracing reveals clonal progenitors and long-term persistence of tumor-specific T cells during immune checkpoint blockade | |
Van de Velde et al. | Neuroblastoma formation requires unconventional CD4 T cells and arginase-1–dependent myeloid cells | |
Xiong et al. | Integrated single-cell transcriptomic analyses reveal that GPNMB-high macrophages promote PN-MES transition and impede T cell activation in GBM | |
Poran et al. | Combined TCR repertoire profiles and blood cell phenotypes predict melanoma patient response to personalized neoantigen therapy plus anti-PD-1 | |
Rodríguez-Hernández et al. | Infectious stimuli promote malignant B-cell acute lymphoblastic leukemia in the absence of AID | |
Lee et al. | Preferential infiltration of unique Vγ9Jγ2-Vδ2 T cells into glioblastoma multiforme | |
Yokoi et al. | Identification of a unique subset of tissue-resident memory CD4+ T cells in Crohn’s disease | |
Purcarea et al. | Signatures of recent activation identify a circulating T cell compartment containing tumor-specific antigen receptors with high avidity | |
Baleeiro et al. | MHC class II molecules on pancreatic cancer cells indicate a potential for neo-antigen-based immunotherapy |