Crucial and novel cancer drivers in a mouse model of triple-negative breast cancer.

CANCER GENOMICS & PROTEOMICS(2014)

Cited 29|Views8
No score
Abstract
Background: We previously developed a mouse model of breast cancer that mimics human triple-negative breast cancer (TNBC) by inactivating the Retinoblastoma (Rb), Transformation related protein 53 (p53), and Breast cancer 1 (Brca1) pathways in the mammary gland. Despite inactivation of all three tumor suppressors throughout the epithelium, low tumor multiplicity indicated that malignant carcinoma progression requires additional oncogenic stimuli. Materials and Methods: In order to identify collaborating genetic events, we performed integrated analysis of 18 tumors (eight tumors with inactivation of pRbf/Brca1/p53 and ten tumors with inactivation of pRbf/p53) using comparative genomic hybridization and global gene expression. We then conducted flow cytometric analysis, immunostaining, tumorsphere, and cell viability assays. Results: Copy number aberrations were correlated with the transcript levels of 7.55% of genes spanned by the altered genomic regions. Recurrent genomic losses spanning large regions of chromosomes 4 and 10 included several cell death genes. Among the amplified genes were well-known drivers of tumorigenesis including Wingless-related MMTV integration site 2 (Wnt2), as well as potentially novel driver mutations including the Late cornified envelope (LCE) gene family. These tumors have a stem/luminal progenitor phenotype and active beta-catenin signaling. Tumorsphere formation and cell survival are suppressed by Wnt pathway inhibitors. Conclusion: Our novel mouse model mimics human TNBC and provides a platform to triage the pathways that underlie malignant tumor progression.
More
Translated text
Key words
Breast cancer,CGH,integrative analysis,tumor suppressor,oncogene,mouse model,triple-negative,Wnt,Myc,Arid,Mapk,LCE
AI Read Science
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Chat Paper
Summary is being generated by the instructions you defined