Identifying pathways affected by cancer mutations

Iengar, Prathima (2018) Identifying pathways affected by cancer mutations. In: GENOMICS, 110 (5). pp. 318-328.

PDF Gen_110-5_318_2018.pdf - Published Version Restricted to Registered users only Download (2MB) | Request a copy

Abstract

Mutations in 15 cancers, sourced from the COSMIC Whole Genomes database, and 297 human pathways, arranged into pathway groups based on the processes they orchestrate, and sourced from the KEGG pathway database, have together been used to identify pathways affected by cancer mutations. Genes studied in >= 15, and mutated in >= 10 samples of a cancer have been considered recurrently mutated, and pathways with recurrently mutated genes have been considered affected in the cancer. Novel doughnut plots have been presented which enable visualization of the extent to which pathways and genes, in each pathway group, are targeted, in each cancer. The `organismal systems' pathway group (including organism-level pathways; e.g., nervous system) is the most targeted, more than even the well-recognized signal transduction, cell-cycle and apoptosis, and DNA repair pathway groups. The important, yet poorly-recognized, role played by the group merits attention. Pathways affected in >= 7 cancers yielded insights into processes affected.

Item Type:	Journal Article
Publication:	GENOMICS
Publisher:	ACADEMIC PRESS INC ELSEVIER SCIENCE, 525 B ST, STE 1900, SAN DIEGO, CA 92101-4495 USA
Additional Information:	Copy right for this article belong to ACADEMIC PRESS INC ELSEVIER SCIENCE, 525 B ST, STE 1900, SAN DIEGO, CA 92101-4495 USA
Department/Centre:	Division of Biological Sciences > Molecular Biophysics Unit
Date Deposited:	28 Aug 2018 15:19
Last Modified:	28 Aug 2018 15:19
URI:	http://eprints.iisc.ac.in/id/eprint/60507

Actions (login required)

View Item