Dataset Information

Molecular characteristics and metastasis predictor genes of triple-negative breast cancer

ABSTRACT: This microarray dataset contains 51 triple-negative breast cancers with clinical and recurrence information for at least 3 years of follow-up and 106 luminal breast cancers (reanalyzed data from Series GSE24124, GSE9309, and GSE17040). A novel set of 45-gene signature that was statistically predictive of distant metastasis recurrence for triple-negative breast cancer was identified in this study.

ORGANISM(S): Homo sapiens

PROVIDER: GSE33926 | GEO | 2012/11/01

SECONDARY ACCESSION(S): PRJNA148225

REPOSITORIES: GEO

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Project description:Twenty-four triple-negative breast cancer and 14 adjacent normal tissues were collected from breast cancer patients during surgeries at National Taiwan University Hospital (NTUH, Taipei, Taiwan). All triple-negative breast cancer samples were invasive ductal carcinomas (IDC) and were negative in immunohistochemical statuses of ER, PR, and HER2 receptors, as confirmed by professional pathologists. Treatment procedure of all patients followed the National Comprehensive Cancer Network (NCCN) guideline. All samples were neoadjuvant-free and were collected before systemic chemotherapy treatments. Written informed consent was obtained from all patients who participated in this study. Using human tissues for research in this study was approved by the institutional review board at NTUH. A novel set of 25-miRNA signature identified in this study was able to effectively distinguish between triple-negative breast cancer and adjacent normal tissues. Moreover, we documented the first evidence of seven polycistronic miRNA clusters preferentially harboring deregulated miRNA genes in triple-negative breast cancer. In the present study, a panel of 24 triple-negative breast cancer and 14 adjacent normal tissue samples were examined for the presence of deregulated miRNA genes using the high-throughput sequencing technology. Total RNA was extracted from the triple-negative breast cancer and adjacent normal samples for preparation of small RNA libraries. Each small RNA library was constructed from total RNA of each sample using the SOLiD Total RNA-Seq Kit (Applied Biosystems, Foster City, CA, USA). Upon completion of polymerase chain reaction (PCR) amplification, small RNA libraries were purified using the SOLiD Library Micro Column Purification Kit (Applied Biosystems) and hybridized to the template beads using the SOLiD EZ bead system (Applied Biosystems). The template beads were amplified and deposited onto subtract for ligation sequencing by SOLiD 4 System (Applied Biosystems).

Dataset Information

Molecular characteristics and metastasis predictor genes of triple-negative breast cancer

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