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Pan-Cancer Comparative and Integrative Analyses of Driver Alterations Using Japanese and International Genomic Databases.

Sara HorieYuki SaitoYasunori KogureKota MizunoYuta ItoMariko TabataTakanori KanaiKoichi MurakamiJunji KoyaKeisuke Kataoka
Published in: Cancer discovery (2024)
We present a genetic landscape of 26 principal cancer types/subtypes, including Asian-prevalent ones, in Japanese patients. Multicohort data integration unveils numerous cooccurring and exclusive relationships between driver mutations, identifying cooccurrence of multiple mutations in epigenetic regulators, which coordinately cause transcriptional and phenotypic changes. These findings provide insights into epigenetic regulator-driven oncogenesis. This article is featured in Selected Articles from This Issue, p. 695.
Keyphrases
  • papillary thyroid
  • gene expression
  • transcription factor
  • dna methylation
  • squamous cell
  • big data
  • copy number
  • genome wide
  • machine learning
  • squamous cell carcinoma
  • childhood cancer
  • oxidative stress
  • single cell