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| Authors |
Jana Biermann Szilárd Nemes Toshima Z Parris Hanna Engqvist Elisabeth Werner Rönnerman Anikó Kovács Per Karlsson Khalil Helou |
|---|---|
| Published in | Genomics |
| ISSN | 0888-7543 |
| Publication year | 2019 |
| Published at |
Institute of Clinical Sciences, Department of Oncology Sahlgrenska Cancer Center Institute of Biomedicine, Department of Pathology |
| Language | en |
| Links |
dx.doi.org/10.1016/j.ygeno.2019.06.... www.ncbi.nlm.nih.gov/entrez/query.f... |
| Subject categories | Cancer and Oncology, Genetics, Biological Sciences |
Genomic instability is a hallmark of cancer that plays a pivotal role in breast cancer development and evolution. A number of existing prognostic gene expression signatures for breast cancer are based on proliferation-related genes. Here, we identified a 17-marker panel associated with genome stability. A total of 136 primary breast carcinomas were stratified by genome stability. Matched gene expression profiles showed an innate segregation based on genome stability. We identified a 17-marker panel stratifying the training and validation cohorts into high- and low-risk patients. The 17 genes associated with genomic instability strongly impacted clinical outcome in breast cancer. Pathway analyses determined chromosome organisation, cell cycle regulation, and RNA processing as the underlying biological processes, thereby offering options for drug development and treatment tailoring. Our work supports the applicability of the 17-marker panel to improve clinical outcome prediction for breast cancer patients based on a signature accounting for genomic instability.
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