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Integrative Analysis Reveals Subtype-Specific Regulatory Determinants in Triple Negative Breast Cancer
- Source :
- Cancers, Volume 11, Issue 4, Cancers, Vol 11, Iss 4, p 507 (2019)
- Publication Year :
- 2019
- Publisher :
- Multidisciplinary Digital Publishing Institute, 2019.
-
Abstract
- Different breast cancer (BC) subtypes have unique gene expression patterns, but their regulatory mechanisms have yet to be fully elucidated. We hypothesized that the top upregulated (Yin) and downregulated (Yang) genes determine the fate of cancer cells. To reveal the regulatory determinants of these Yin and Yang genes in different BC subtypes, we developed a lasso regression model integrating DNA methylation (DM), copy number variation (CNV) and microRNA (miRNA) expression of 391 BC patients, coupled with miRNA&ndash<br />target interactions and transcription factor (TF) binding sites. A total of 25, 20, 15 and 24 key regulators were identified for luminal A, luminal B, Her2-enriched, and triple negative (TN) subtypes, respectively. Many of the 24 TN regulators were found to regulate the PPARA and FOXM1 pathways. The Yin Yang gene expression mean ratio (YMR) and combined risk score (CRS) signatures built with either the targets of or the TN regulators were associated with the BC patients&rsquo<br />survival. Previously, we identified FOXM1 and PPARA as the top Yin and Yang pathways in TN, respectively. These two pathways and their regulators could be further explored experimentally, which might help to identify potential therapeutic targets for TN.
- Subjects :
- 0301 basic medicine
Cancer Research
Biology
lcsh:RC254-282
Article
triple negative
03 medical and health sciences
0302 clinical medicine
breast cancer
microRNA
Gene expression
Copy-number variation
lasso
Transcription factor
Gene
Triple-negative breast cancer
FOXM1
lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens
humanities
3. Good health
030104 developmental biology
Oncology
regulator
030220 oncology & carcinogenesis
DNA methylation
Cancer research
PPARA
Subjects
Details
- Language :
- English
- ISSN :
- 20726694
- Database :
- OpenAIRE
- Journal :
- Cancers
- Accession number :
- edsair.doi.dedup.....6aec6bf660883662d01b868988563168
- Full Text :
- https://doi.org/10.3390/cancers11040507