Tu et al., 2017 - Google Patents

Assessing microenvironment immunogenicity using tumor specimen exomes: Co‐detection of TcR‐α/β V (D) J recombinations correlates with PD‐1 expression

Tu et al., 2017

Document ID
781543927760465969
Author
Tu Y
Tong W
Samy M
Yavorski J
Kim M
Blanck G
Publication year
Publication venue
International Journal of Cancer

External Links

Snippet

T‐cell receptor (TcR) recombinations can be recovered from tumor specimen, whole exome sequences (WXS) files. However, it is not yet clear how these recombinations represent lymphocytes or an anti‐tumor immune response. Here we report the identification of …
Continue reading at onlinelibrary.wiley.com (other versions)

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by the preceding groups
    • G01N33/48Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/53Immunoassay; Biospecific binding assay
    • G01N33/574Immunoassay; Biospecific binding assay for cancer
    • G01N33/57407Specifically defined cancers
    • CCHEMISTRY; METALLURGY
    • C12BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12QMEASURING 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
    • C12Q1/00Measuring or testing processes involving enzymes, nucleic acids or micro-organisms; Compositions therefor; Processes of preparing such compositions
    • C12Q1/68Measuring or testing processes involving enzymes, nucleic acids or micro-organisms; Compositions therefor; Processes of preparing such compositions involving nucleic acids
    • C12Q1/6876Hybridisation probes
    • C12Q1/6883Hybridisation probes for diseases caused by alterations of genetic material
    • C12Q1/6886Hybridisation probes for diseases caused by alterations of genetic material for cancer
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by the preceding groups
    • G01N33/48Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/5005Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving human or animal cells
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/10Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
    • G06F19/18Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for functional genomics or proteomics, e.g. genotype-phenotype associations, linkage disequilibrium, population genetics, binding site identification, mutagenesis, genotyping or genome annotation, protein-protein interactions or protein-nucleic acid interactions
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/10Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
    • G06F19/28Bioinformatics, 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
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/10Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
    • G06F19/22Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for sequence comparison involving nucleotides or amino acids, e.g. homology search, motif or SNP [Single-Nucleotide Polymorphism] discovery or sequence alignment
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/10Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
    • G06F19/24Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology for machine learning, data mining or biostatistics, e.g. pattern finding, knowledge discovery, rule extraction, correlation, clustering or classification

Similar Documents

Publication Publication Date Title
Hellmann et al. Genomic features of response to combination immunotherapy in patients with advanced non-small-cell lung cancer
Jia et al. Titin mutation associated with responsiveness to checkpoint blockades in solid tumors
Hodi et al. TMB and inflammatory gene expression associated with clinical outcomes following immunotherapy in advanced melanoma
Jia et al. Local mutational diversity drives intratumoral immune heterogeneity in non-small cell lung cancer
Bao et al. Analysis of the molecular nature associated with microsatellite status in colon cancer identifies clinical implications for immunotherapy
Hellmann et al. Tumor mutational burden and efficacy of nivolumab monotherapy and in combination with ipilimumab in small-cell lung cancer
Ravi et al. Genomic and transcriptomic analysis of checkpoint blockade response in advanced non-small cell lung cancer
Roh et al. Integrated molecular analysis of tumor biopsies on sequential CTLA-4 and PD-1 blockade reveals markers of response and resistance
Turajlic et al. Insertion-and-deletion-derived tumour-specific neoantigens and the immunogenic phenotype: a pan-cancer analysis
Tu et al. Assessing microenvironment immunogenicity using tumor specimen exomes: Co‐detection of TcR‐α/β V (D) J recombinations correlates with PD‐1 expression
Hundal et al. pVAC-Seq: A genome-guided in silico approach to identifying tumor neoantigens
Giannakis et al. Genomic correlates of immune-cell infiltrates in colorectal carcinoma
De Bruin et al. Spatial and temporal diversity in genomic instability processes defines lung cancer evolution
Zhong et al. m6A modification patterns and tumor immune landscape in clear cell renal carcinoma
Lee et al. Comprehensive immunoproteogenomic analyses of malignant pleural mesothelioma
Chobrutskiy et al. Recovery of T-cell receptor V (D) J recombination reads from lower grade glioma exome files correlates with reduced survival and advanced cancer grade
Zapata et al. Immune selection determines tumor antigenicity and influences response to checkpoint inhibitors
Ren et al. HLA class-I and class-II restricted neoantigen loads predict overall survival in breast cancer
Chobrutskiy et al. A scoring system for the electrostatic complementarities of T‐cell receptors and cancer‐mutant amino acids: multi‐cancer analyses of associated survival rates
Mitra et al. Spatially resolved analyses link genomic and immune diversity and reveal unfavorable neutrophil activation in melanoma
Sato et al. Integrative immunogenomic analysis of gastric cancer dictates novel immunological classification and the functional status of tumor‐infiltrating cells
GuhaThakurta et al. Applications of systems biology in cancer immunotherapy: from target discovery to biomarkers of clinical outcome
Morazán-Fernández et al. In silico pipeline to identify tumor-specific antigens for cancer immunotherapy using exome sequencing data
Wu et al. Quantification of neoantigen-mediated immunoediting in cancer evolution
Gong et al. Neoantigen load as a prognostic and predictive marker for stage II/III non‐small cell lung cancer in Chinese patients