Integrated analysis of gene expression and copy number identified potential cancer driver genes with amplification-dependent overexpression in 1,454 solid tumors

Abstract Identification of driver genes contributes to the understanding of cancer etiology and is imperative for the development of individualized therapies. Gene amplification is a major event in oncogenesis. Driver genes with tumor-specific amplification-dependent overexpression can be therapeutic targets. In this study, we aimed to identify amplification-dependent driver genes in 1,454 solid tumors, across more than 15 cancer types, by integrative analysis of gene expression and copy number. Amplification-dependent overexpression of 64 known driver oncogenes were found in 587 tumors (40%); genes frequently observed were MYC (25%) and MET (18%) in colorectal cancer; SKP2 (21%) in lung squamous cell carcinoma; HIST1H3B (19%) and MYCN (13%) in liver cancer; KIT (57%) in gastrointestinal stromal tumors; and FOXL2 (12%) in squamous cell carcinoma across tissues. Genomic aberrations in 138 known cancer driver genes and 491 established fusion genes were found in 1,127 tumors (78%). Further analyses of 820 cancer-related genes revealed 16 as potential driver genes, with amplification-dependent overexpression restricted to the remaining 22% of samples (327 tumors) initially undetermined genetic drivers. Among them, AXL, which encodes a receptor tyrosine kinase, was recurrently overexpressed and amplified in sarcomas. Our studies of amplification-dependent overexpression identified potential drug targets in individual tumors..

Medienart:

E-Artikel

Erscheinungsjahr:

2017

Erschienen:

2017

Enthalten in:

Zur Gesamtaufnahme - volume:7

Enthalten in:

Scientific Reports - 7(2017), 1, Seite 13

Sprache:

Englisch

Beteiligte Personen:

Keiichi Ohshima [VerfasserIn]
Keiichi Hatakeyama [VerfasserIn]
Takeshi Nagashima [VerfasserIn]
Yuko Watanabe [VerfasserIn]
Kaori Kanto [VerfasserIn]
Yuki Doi [VerfasserIn]
Tomomi Ide [VerfasserIn]
Yuji Shimoda [VerfasserIn]
Tomoe Tanabe [VerfasserIn]
Sumiko Ohnami [VerfasserIn]
Shumpei Ohnami [VerfasserIn]
Masakuni Serizawa [VerfasserIn]
Koji Maruyama [VerfasserIn]
Yasuto Akiyama [VerfasserIn]
Kenichi Urakami [VerfasserIn]
Masatoshi Kusuhara [VerfasserIn]
Tohru Mochizuki [VerfasserIn]
Ken Yamaguchi [VerfasserIn]

Links:

doi.org [kostenfrei]
doaj.org [kostenfrei]
doi.org [kostenfrei]
Journal toc [kostenfrei]

Themen:

Medicine
Q
R
Science

doi:

10.1038/s41598-017-00219-3

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

DOAJ052538346