Literature DB >> 35091282

Distribution of copy number variations and rearrangement endpoints in human cancers with a review of literature.

Golrokh Mirzaei1, Ruben C Petreaca2.   

Abstract

Copy number variations (CNVs) which include deletions, duplications, inversions, translocations, and other forms of chromosomal re-arrangements are common to human cancers. In this report we investigated the pattern of these variations with the goal of understanding whether there exist specific cancer signatures. We used re-arrangement endpoint data deposited on the Catalogue of Somatic Mutations in Cancers (COSMIC) for our analysis. Indeed, we find that human cancers are characterized by specific patterns of chromosome rearrangements endpoints which in turn result in cancer specific CNVs. A review of the literature reveals tissue specific mutations which either drive these CNVs or appear as a consequence of CNVs because they confer an advantage to the cancer cell. We also identify several rearrangement endpoints hotspots that were not previously reported. Our analysis suggests that in addition to local chromosomal architecture, CNVs are driven by the internal cellular or nuclear physiology of each cancer tissue.
Copyright © 2021 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cancer; Chromosomal rearrangements; Copy number variations; DNA double strand breaks

Mesh:

Year:  2021        PMID: 35091282     DOI: 10.1016/j.mrfmmm.2021.111773

Source DB:  PubMed          Journal:  Mutat Res        ISSN: 0027-5107            Impact factor:   2.433


  3 in total

1.  GraphChrom: A Novel Graph-Based Framework for Cancer Classification Using Chromosomal Rearrangement Endpoints.

Authors:  Golrokh Mirzaei
Journal:  Cancers (Basel)       Date:  2022-06-22       Impact factor: 6.575

Review 2.  BRCA Mutations in Ovarian and Prostate Cancer: Bench to Bedside.

Authors:  Stergios Boussios; Elie Rassy; Michele Moschetta; Aruni Ghose; Sola Adeleke; Elisabet Sanchez; Matin Sheriff; Cyrus Chargari; Nicholas Pavlidis
Journal:  Cancers (Basel)       Date:  2022-08-11       Impact factor: 6.575

3.  Pan-cancer analysis of co-occurring mutations in RAD52 and the BRCA1-BRCA2-PALB2 axis in human cancers.

Authors:  Abdulaziz B Hamid; Lauren E Frank; Renee A Bouley; Ruben C Petreaca
Journal:  PLoS One       Date:  2022-09-15       Impact factor: 3.752

  3 in total

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