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UnknownProspective Study of Annual Whole-Body Magnetic Resonance Imaging as Part of a Multimodality Screening Program for Individuals With Li-Fraumeni Syndrome.

Purpose

Individuals with Li-Fraumeni syndrome (LFS) are at risk of developing cancer in multiple organs and therefore require a multimodal screening program. We assessed the performance of annual whole-body noncontrast magnetic resonance imaging (WBMRI) in early cancer detection for individu...
S-EPMC12560191 | biostudies-literature
UnknownGenomic and Functional Approaches to Understanding Cancer Aneuploidy.
Aneuploidy, whole chromosome or chromosome arm imbalance, is a near-universal characteristic of human cancers. In 10,522 cancer genomes from The Cancer Genome Atlas, aneuploidy was correlated with TP53 mutation, somatic mutation rate, and expression of proliferation genes. Aneuploidy was anti-correl...
S-EPMC6028190 | biostudies-literature
UnknownThe Immune Landscape of Cancer.
We performed an extensive immunogenomic analysis of more than 10,000 tumors comprising 33 diverse cancer types by utilizing data compiled by TCGA. Across cancer types, we identified six immune subtypes-wound healing, IFN-γ dominant, inflammatory, lymphocyte depleted, immunologically quiet, and TGF-β...
S-EPMC5982584 | biostudies-literature
UnknownComparative Molecular Analysis of Gastrointestinal Adenocarcinomas.
We analyzed 921 adenocarcinomas of the esophagus, stomach, colon, and rectum to examine shared and distinguishing molecular characteristics of gastrointestinal tract adenocarcinomas (GIACs). Hypermutated tumors were distinct regardless of cancer type and comprised those enriched for insertions/delet...
S-EPMC5966039 | biostudies-literature
UnknownDisruption of chromatin folding domains by somatic genomic rearrangements in human cancer.
Chromatin is folded into successive layers to organize linear DNA. Genes within the same topologically associating domains (TADs) demonstrate similar expression and histone-modification profiles, and boundaries separating different domains have important roles in reinforcing the stability of these f...
S-EPMC7058537 | biostudies-literature
UnknownMachine Learning Detects Pan-cancer Ras Pathway Activation in The Cancer Genome Atlas.
Precision oncology uses genomic evidence to match patients with treatment but often fails to identify all patients who may respond. The transcriptome of these "hidden responders" may reveal responsive molecular states. We describe and evaluate a machine-learning approach to classify aberrant pathway...
S-EPMC5918694 | biostudies-literature
UnknownComprehensive analysis of chromothripsis in 2,658 human cancers using whole-genome sequencing.
Chromothripsis is a mutational phenomenon characterized by massive, clustered genomic rearrangements that occurs in cancer and other diseases. Recent studies in selected cancer types have suggested that chromothripsis may be more common than initially inferred from low-resolution copy-number data. H...
S-EPMC7058534 | biostudies-literature
UnknownPan-cancer Alterations of the MYC Oncogene and Its Proximal Network across the Cancer Genome Atlas.
Although the MYC oncogene has been implicated in cancer, a systematic assessment of alterations of MYC, related transcription factors, and co-regulatory proteins, forming the proximal MYC network (PMN), across human cancers is lacking. Using computational approaches, we define genomic and proteomic ...
S-EPMC5892207 | biostudies-literature
UnknownOncogenic Signaling Pathways in The Cancer Genome Atlas.
Genetic alterations in signaling pathways that control cell-cycle progression, apoptosis, and cell growth are common hallmarks of cancer, but the extent, mechanisms, and co-occurrence of alterations in these pathways differ between individual tumors and tumor types. Using mutations, copy-number chan...
S-EPMC6070353 | biostudies-literature
UnknownComprehensive Analysis of Alternative Splicing Across Tumors from 8,705 Patients.
Our comprehensive analysis of alternative splicing across 32 The Cancer Genome Atlas cancer types from 8,705 patients detects alternative splicing events and tumor variants by reanalyzing RNA and whole-exome sequencing data. Tumors have up to 30% more alternative splicing events than normal samples....
S-EPMC9844097 | biostudies-literature
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