Porrata et al., 2015 - Google Patents
Infused autograft lymphocyte to monocyte ratio predicts survival in classical Hodgkin lymphomaPorrata et al., 2015
View PDF- Document ID
- 17191560143952753416
- Author
- Porrata L
- Inwards D
- Ansell S
- Micallef I
- Johnston P
- Hogan W
- Markovic S
- Publication year
- Publication venue
- Journal of blood medicine
External Links
Snippet
The infused autograft lymphocyte to monocyte ratio (A-LMR) as a surrogate marker of host immunity (ie, absolute lymphocyte count) and CD14+ HLA-DRlow/neg immunosuppressive monocytes (ie, absolute monocyte count) is a prognostic factor for patients with diffuse large …
- 230000004083 survival 0 title abstract description 58
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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
- G06F17/30386—Retrieval requests
- G06F17/30424—Query processing
- G06F17/30522—Query processing with adaptation to user needs
-
- 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
-
- 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
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Herrmann et al. | Delineation of target expression profiles in CD34+/CD38− and CD34+/CD38+ stem and progenitor cells in AML and CML | |
Buscher et al. | Natural variation of macrophage activation as disease-relevant phenotype predictive of inflammation and cancer survival | |
Morita et al. | Clearance of somatic mutations at remission and the risk of relapse in acute myeloid leukemia | |
McCurdy et al. | Signatures of GVHD and relapse after posttransplant cyclophosphamide revealed by immune profiling and machine learning | |
Bullinger et al. | Genomics of acute myeloid leukemia diagnosis and pathways | |
Groeschel et al. | Deregulated expression of EVI1 defines a poor prognostic subset of MLL-rearranged acute myeloid leukemias: a study of the German-Austrian Acute Myeloid Leukemia Study Group and the Dutch-Belgian-Swiss HOVON/SAKK Cooperative Group | |
Ossenkoppele et al. | Review of the relevance of aberrant antigen expression by flow cytometry in myeloid neoplasms | |
Armand et al. | A disease risk index for patients undergoing allogeneic stem cell transplantation | |
Wilcox et al. | The absolute monocyte count is associated with overall survival in patients newly diagnosed with follicular lymphoma | |
Metzeler et al. | TET2 mutations improve the new European LeukemiaNet risk classification of acute myeloid leukemia: a Cancer and Leukemia Group B study | |
Terwijn et al. | High prognostic impact of flow cytometric minimal residual disease detection in acute myeloid leukemia: data from the HOVON/SAKK AML 42A study | |
Wilcox et al. | The absolute monocyte and lymphocyte prognostic score predicts survival and identifies high-risk patients in diffuse large-B-cell lymphoma | |
Monti et al. | Molecular profiling of diffuse large B-cell lymphoma identifies robust subtypes including one characterized by host inflammatory response | |
Damm et al. | Prognostic importance of histone methyltransferase MLL5 expression in acute myeloid leukemia | |
Zhao et al. | The impact of minimal residual disease prior to unmanipulated haploidentical hematopoietic stem cell transplantation in patients with acute myeloid leukemia in complete remission | |
Tian et al. | Impact of pre-transplant disease burden on the outcome of allogeneic hematopoietic stem cell transplant in refractory and relapsed acute myeloid leukemia: a single-center study | |
Wen et al. | Association analyses of TP53 mutation with prognosis, tumor mutational burden, and immunological features in acute myeloid leukemia | |
Armand et al. | Multicenter validation study of a transplantation-specific cytogenetics grouping scheme for patients with myelodysplastic syndromes | |
Liu et al. | Clinical characteristics of extranodal NK/T-cell lymphoma-associated hemophagocytic lymphohistiocytosis | |
Rimsza et al. | HLA-DR protein status predicts survival in patients with diffuse large B-cell lymphoma treated on the MACOP-B chemotherapy regimen | |
Porrata et al. | Infused autograft lymphocyte to monocyte ratio predicts survival in classical Hodgkin lymphoma | |
Chihara et al. | Analysis of prognostic factors in peripheral T-cell lymphoma: prognostic value of serum albumin and mediastinal lymphadenopathy | |
Castillo et al. | Lymphopenia as a prognostic factor in patients with peripheral T-cell lymphoma, unspecified | |
Srinivasan Rajsri et al. | Acute myeloid leukemia stem cells in minimal/measurable residual disease detection | |
Bar et al. | Elevated lymphocyte count at time of acute myeloid leukemia diagnosis is associated with shorter remission |