Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1298555 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:The lack of prognostic biomarkers and therapeutic targets in triple-negative breast cancer (TNBC) underscores an urgent need for the identification of novel biomarkers and effective treatment targets. In this study, we collected tumor and adjacent normal samples of four TNBC and four non-TNBC patients for whole-exome sequencing (WES).Comparative WES analysis uncovered the distinct landscape of somatic mutations and driver genes in TNBC.
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Project description:Whole exome sequencing identification of putative founder mutations in non-BRCA1/2 breast cancer patients
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Project description:Discrepancies in the prognosis of triple negative breast cancer exist between Caucasian and Asian populations. Yet, the gene signature of triple negative breast cancer specifically for Asians has not become available. Therefore, the purpose of this study is to construct a prediction model for recurrence of triple negative breast cancer in Taiwanese patients. Whole genome expression profiling of breast cancers from 185 patients in Taiwan from 1995 to 2008 was performed, and the results were compared to the previously published literature to detect differences between Asian and Western patients. Pathway analysis and Cox proportional hazard models were applied to construct a prediction model for the recurrence of triple negative breast cancer. Most expression data of samples (181/185) were reanalyzed from previous studies already uploaded to GEO (see "reanalysis of" links below). Four additional gene expression profiling data of triple negative breast cancer sample were added to this study.
2012-02-02 | E-GEOD-33095 | biostudies-arrayexpress
Project description:To study the expression of SIPA1 in patients with metastatic triple-negative breast cancer, we obtained a subcutaneous metastatic sample from a patient with stage III triple-negative breast cancer and performed single-cell transcriptome sequencing
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Project description:Global profiling of tumor expression revealed increased RING-PHD-Bromodomain protein TRIM24 levels in numerous human cancers. Conditional over-expression of Trim24 was sufficient to drive murine mammary tumor development, 70% of which were ER, PR and HER2-negative carcinosarcomas with coexisting malignant epithelial and mesenchymal compartments, offering a unique model of human triple-negative, metaplastic breast cancer (MpBC). Both in vivo and in cellulo, TRIM24 induced EMT, repressing CDH1 and activating EMT factors. Whole exome sequencing of human MpBC tumors and Trim24-driven carcinosarcomas defined a TRIM24-like subclass of MpBC patients with worse overall and relapse-free survival. Among 40 MpBC patients, 43% had robust expression of TRIM24. These studies implicate TRIM24 as a potential biomarker and therapeutic target for a subset of MpBC.
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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).
2015-03-01 | E-GEOD-40049 | biostudies-arrayexpress
Project description:Whole Genome Sequencing of Triple Negative Breast Cancer
| PRJNA74803 | ENA
Project description:Whole Genome Sequencing of Triple Negative Breast Cancer
| PRJNA74805 | ENA
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.
2015-03-01 | GSE40049 | GEO
Project description:10 biopsies before treatment from triple negative patients with complete response were collected. Total RNA was extracted from tumor specimens and the whole transcriptome was quantified with Affymetrix HuGene1.1ST. The biopsies were classified into Good (major or complete) or Poor (absent or minor) therapeutic response subgroup. Whole genome expression of triple negative breast cancer tissues were measured before neoadjuvant chemotherapy
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