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Organization: TCGA

An international team documented TP53 mutation-related genomic changes across dozens of cancer types using data generated with five platforms for the Cancer Genome Atlas project.

In a recent study, the researchers used the software to analyze multi-omic ovarian cancer data generated by the TCGA and CPTAC initiatives.

The subtypes — which were distinguished from one another using proteomic data — were associated with proliferation, immune response, metabolism, and invasion.

Researchers found that hypoxia was associated with elevated genomic instability in 10 tumor types and saw widespread hypoxia-associated dysregulation of miRNAs.

Gene expression data revealed two groups of human papillomavirus (HPV)-positive oropharyngeal squamous cell carcinomas corresponding to distinct survival outcomes.

A new analysis of transcriptome and tumor growth data uncovered distinct expression-based tumor clusters and treatment responses in males and females.

In Science this week: genome-wide chromatin accessibility profiles of The Cancer Genome Atlas tumors, and more.

The study looked at chromatin accessibility in 410 TCGA tumors in the context of broader genomic features to explore functional effects of regulatory features.

Using TCGA and ICGC data, researchers have identified 180 amino acid residues within 160 human proteins that appear to be hotspots for cancer-linked mutations.

The third set of papers out this week from The Cancer Genome Atlas touches on ways to cluster tumors, oncogenic processes that contribute to oncogenesis, and more.

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Holden Thorp is to be the new editor-in-chief of Science and its related journals.

A genetic analysis of salmon scales collected over the course of a century points to a sharp decline in the number of fish returning each year to river in British Columbia, CBC reports.

Adelaide University has suspended the head of an ancient DNA lab as its investigation of workplace bullying continues, Australia's ABC News reports.

In PNAS this week: gene expression profiles of adipocyte subtypes, computational approach for improving plant expressome analysis, and more.