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Article

Comprehensive analysis of prognosis markers with molecular features derived from pan-cancer whole-genome sequences.

Human genomics - 12 Apr 2025

Kato Mamoru, Nishino Jo, Nagai Momoko, Rokutan Hirofumi, Narushima Daichi, Ono Hanako, Hasegawa Takanori, Imoto Seiya, Matsui Shigeyuki, Tsunoda Tatsuhiko, Shibata Tatsuhiro

Abstract excerpt

Cancer prognosis markers are useful for treatment decisions; however, the omics-level landscape is not well understood across multiple cancer types. Pan-Cancer Analysis of Whole Genomes (PCAWG) provides unprecedented access to various types of molecular data, ranging from typical DNA mutations and RNA expressions to more deeply analyzed or whole-genomic features, such as HLA haplotypes and structural variations....

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Identifiers

PMID: 40221813
DOI: 10.1186/s40246-025-00744-7
PMCID: PMC11993945

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