Immunity, ISSN 1074-7613, 04/2018, Volume 48, Issue 4, pp. 812 - 830.e14
We performed an extensive immunogenomic analysis of more than 10,000 tumors comprising 33 diverse cancer types by utilizing data compiled by TCGA. Across...
tumor immunology | immunotherapy | cancer genomics | integrative network analysis | immuno-oncology | tumor microenvironment | immune subtypes | immunomodulatory | Immunology | Infectious Diseases | Immunology and Allergy | GENOMIC ANALYSES | INFORMATION | T-CELL-RECEPTOR | REGULATORY NETWORK | CLASSIFICATION | IMMUNOLOGY | SEQUENCING DATA | SOMATIC MUTATIONS | COMPREHENSIVE ANALYSIS | PREDICTION | REVEALS | Transforming Growth Factor beta - immunology | Prognosis | Humans | Middle Aged | Th1-Th2 Balance - physiology | Male | Neoplasms - classification | Wound Healing - immunology | Young Adult | Transforming Growth Factor beta - genetics | Neoplasms - genetics | Neoplasms - immunology | Interferon-gamma - immunology | Adolescent | Aged, 80 and over | Adult | Female | Aged | Interferon-gamma - genetics | Wound Healing - genetics | Genomics - methods | Child | Macrophages - immunology | Cell proliferation | Cluster analysis | Transcription | Copy number | p53 Protein | Lung cancer | Genomics | Aneuploidy | Lymphocytes T | Genomes | Cell interactions | Macrophages | Immunotherapy | DNA methylation | Deoxyribonucleic acid--DNA | Immune system | Medical research | Wound healing | Immunomodulation | MiRNA | Stockholders | Inflammation | T cell receptors | Communications networks | Gene expression | White blood cells | Inventors | Medical prognosis | γ-Interferon | Mutation | Cancer | Tumors | Immune Subtypes | Integrative Network Analysis | Cancer Genomics | Immuno-oncology | Tumor immunology
tumor immunology | immunotherapy | cancer genomics | integrative network analysis | immuno-oncology | tumor microenvironment | immune subtypes | immunomodulatory | Immunology | Infectious Diseases | Immunology and Allergy | GENOMIC ANALYSES | INFORMATION | T-CELL-RECEPTOR | REGULATORY NETWORK | CLASSIFICATION | IMMUNOLOGY | SEQUENCING DATA | SOMATIC MUTATIONS | COMPREHENSIVE ANALYSIS | PREDICTION | REVEALS | Transforming Growth Factor beta - immunology | Prognosis | Humans | Middle Aged | Th1-Th2 Balance - physiology | Male | Neoplasms - classification | Wound Healing - immunology | Young Adult | Transforming Growth Factor beta - genetics | Neoplasms - genetics | Neoplasms - immunology | Interferon-gamma - immunology | Adolescent | Aged, 80 and over | Adult | Female | Aged | Interferon-gamma - genetics | Wound Healing - genetics | Genomics - methods | Child | Macrophages - immunology | Cell proliferation | Cluster analysis | Transcription | Copy number | p53 Protein | Lung cancer | Genomics | Aneuploidy | Lymphocytes T | Genomes | Cell interactions | Macrophages | Immunotherapy | DNA methylation | Deoxyribonucleic acid--DNA | Immune system | Medical research | Wound healing | Immunomodulation | MiRNA | Stockholders | Inflammation | T cell receptors | Communications networks | Gene expression | White blood cells | Inventors | Medical prognosis | γ-Interferon | Mutation | Cancer | Tumors | Immune Subtypes | Integrative Network Analysis | Cancer Genomics | Immuno-oncology | Tumor immunology
Journal Article
Cell, ISSN 0092-8674, 04/2018, Volume 173, Issue 2, pp. 291 - 304.e6
We conducted comprehensive integrative molecular analyses of the complete set of tumors in The Cancer Genome Atlas (TCGA), consisting of approximately 10,000...
genome | organs | tissues | transcriptome | methylome | cancer | cell-of-origin | TCGA | proteome | subtypes | Biochemistry, Genetics and Molecular Biology(all) | INTEGRATED GENOMIC CHARACTERIZATION | ACCURATE | SIMILARITIES | BIOCHEMISTRY & MOLECULAR BIOLOGY | UNKNOWN PRIMARY | SIGNATURE | BREAST | DISCOVERY | CELL BIOLOGY | Humans | Aneuploidy | MicroRNAs - metabolism | Neoplasm Proteins - metabolism | RNA, Messenger - metabolism | DNA Methylation | Neoplasms - genetics | Chromosomes - genetics | CpG Islands | Mutation | Neoplasm Proteins - genetics | Neoplasms - pathology | Cluster Analysis | Databases, Factual
genome | organs | tissues | transcriptome | methylome | cancer | cell-of-origin | TCGA | proteome | subtypes | Biochemistry, Genetics and Molecular Biology(all) | INTEGRATED GENOMIC CHARACTERIZATION | ACCURATE | SIMILARITIES | BIOCHEMISTRY & MOLECULAR BIOLOGY | UNKNOWN PRIMARY | SIGNATURE | BREAST | DISCOVERY | CELL BIOLOGY | Humans | Aneuploidy | MicroRNAs - metabolism | Neoplasm Proteins - metabolism | RNA, Messenger - metabolism | DNA Methylation | Neoplasms - genetics | Chromosomes - genetics | CpG Islands | Mutation | Neoplasm Proteins - genetics | Neoplasms - pathology | Cluster Analysis | Databases, Factual
Journal Article
Cell, ISSN 0092-8674, 04/2018, Volume 173, Issue 2, pp. 400 - 416.e11
For a decade, The Cancer Genome Atlas (TCGA) program collected clinicopathologic annotation data along with multi-platform molecular profiles of more than...
disease-specific survival | disease-free interval | overall survival | Cox proportional hazards regression model | translational research | progression-free interval | TCGA | follow-up time | The Cancer Genome Atlas | clinical data resource | Biochemistry, Genetics and Molecular Biology(all) | BREAST-CANCER | DEFINITIONS | MOLECULAR PORTRAITS | PROGRESSION-FREE SURVIVAL | BIOCHEMISTRY & MOLECULAR BIOLOGY | SUFFICIENT FOLLOW-UP | END-POINTS | CLASSIFICATION | TIME | RECURRENCE | COMPREHENSIVE GENOMIC CHARACTERIZATION | CELL BIOLOGY
disease-specific survival | disease-free interval | overall survival | Cox proportional hazards regression model | translational research | progression-free interval | TCGA | follow-up time | The Cancer Genome Atlas | clinical data resource | Biochemistry, Genetics and Molecular Biology(all) | BREAST-CANCER | DEFINITIONS | MOLECULAR PORTRAITS | PROGRESSION-FREE SURVIVAL | BIOCHEMISTRY & MOLECULAR BIOLOGY | SUFFICIENT FOLLOW-UP | END-POINTS | CLASSIFICATION | TIME | RECURRENCE | COMPREHENSIVE GENOMIC CHARACTERIZATION | CELL BIOLOGY
Journal Article
Cell, ISSN 0092-8674, 04/2018, Volume 173, Issue 2, pp. 321 - 337.e10
Genetic alterations in signaling pathways that control cell-cycle progression, apoptosis, and cell growth are common hallmarks of cancer, but the extent,...
cancer genome atlas | precision oncology | therapeutics | pan-cancer | signaling pathways | PanCanAtlas | combination therapy | cancer genomics | whole exome sequencing | TCGA | Biochemistry, Genetics and Molecular Biology(all) | SIGNATURES | COMPREHENSIVE MOLECULAR CHARACTERIZATION | LANDSCAPE | BIOCHEMISTRY & MOLECULAR BIOLOGY | GENES | MUTATIONS | EXPRESSION | CELL BIOLOGY | Genes, Neoplasm | Humans | Tumor Suppressor Protein p53 - metabolism | Databases, Genetic | Phosphatidylinositol 3-Kinases - metabolism | Signal Transduction - genetics | Wnt Proteins - metabolism | Tumor Suppressor Protein p53 - genetics | Phosphatidylinositol 3-Kinases - genetics | Transforming Growth Factor beta - genetics | Wnt Proteins - genetics | Neoplasms - genetics | Neoplasms - pathology | Transforming Growth Factor beta - metabolism
cancer genome atlas | precision oncology | therapeutics | pan-cancer | signaling pathways | PanCanAtlas | combination therapy | cancer genomics | whole exome sequencing | TCGA | Biochemistry, Genetics and Molecular Biology(all) | SIGNATURES | COMPREHENSIVE MOLECULAR CHARACTERIZATION | LANDSCAPE | BIOCHEMISTRY & MOLECULAR BIOLOGY | GENES | MUTATIONS | EXPRESSION | CELL BIOLOGY | Genes, Neoplasm | Humans | Tumor Suppressor Protein p53 - metabolism | Databases, Genetic | Phosphatidylinositol 3-Kinases - metabolism | Signal Transduction - genetics | Wnt Proteins - metabolism | Tumor Suppressor Protein p53 - genetics | Phosphatidylinositol 3-Kinases - genetics | Transforming Growth Factor beta - genetics | Wnt Proteins - genetics | Neoplasms - genetics | Neoplasms - pathology | Transforming Growth Factor beta - metabolism
Journal Article