Genomics

Dataset Information

0

Mammary Tissue: aCGH of primary (IGF-IR induced) and recurrent (IGF-IR independent) mammary tumors from MTB-IGFIR mice


ABSTRACT: Tumor recurrence represents a significant clinical challenge in the treatment and management of breast cancer. To investigate whether copy number aberrations (CNAs) facilitate the re-emergence of tumor growth from residual disease we performed array comparative genomic hybridization (aCGH) on primary and recurrent mammary tumors from an inducible mouse model of type-I insulin-like growth factor receptor (IGF-IR) driven breast cancer. This genome-wide analysis revealed primary and recurrent tumors harbored distinct copy number aberrations (CNAs) with relapsed tumors containing an increased number of gene-level gains and losses. Remarkably, CNAs detected in primary tumors were largely devoid of annotated cancer genes while the vast majority of recurrent tumors harbored at least one CNA containing a known oncogene or tumor suppressor. Specifically, a subset of recurrent tumors carried gains at 6qA2 and 9qA2 which encode the Met and Yap1 oncogenes respectively. The most frequent CNA detected was a focal deletion at 4qC5 involving the Cdkn2a and Cdkn2b tumor suppressor genes. Integrative analysis revealed positive correlations between gene copy number and mRNA expression suggesting Met, Yap1 and Cdkn2a/b may serve as potential driver genes that promote tumor recurrence. Together, these findings indicate that tumor recurrence is facilitated by the acquisition of CNAs with oncogenic potential and provide a framework to dissect the molecular mechanisms that mediate tumor escape from dormancy.

ORGANISM(S): Mus musculus

PROVIDER: GSE120186 | GEO | 2018/11/28

REPOSITORIES: GEO

Similar Datasets

2017-02-14 | GSE63306 | GEO
2013-05-22 | E-GEOD-38323 | biostudies-arrayexpress
2014-12-31 | GSE52173 | GEO
2012-10-01 | E-GEOD-37607 | biostudies-arrayexpress
2016-01-22 | GSE71389 | GEO
2016-01-22 | GSE71386 | GEO
2016-10-22 | GSE89046 | GEO
2015-05-20 | GSE69035 | GEO
2011-09-30 | E-GEOD-32152 | biostudies-arrayexpress
2013-05-22 | E-GEOD-38207 | biostudies-arrayexpress