Gene signature for predicting homologous recombination deficiency in triple-negative breast cancer
We developed a gene expression-based classifier for homologous recombination deficiency (HRD) in breast cancer patients using WES and RNA-seq data obtained from 94 TNBC samples from a Malaysian hospital-based cohort (MyBrCa). This classifier was able to predict for high levels of a mutational signature associated with HRD in an additional MyBrCa TNBC validation cohort (this EGA study) as well as in TNBCs from TCGA. We also validated the classifier on a NanoString platform with both fresh frozen and FFPE tissue.
- Type: Other
- Archiver: European Genome-Phenome Archive (EGA)
Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data
Dataset ID | Description | Technology | Samples |
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EGAD00001009311 | Illumina NovaSeq 6000 | 105 |
Publications | Citations |
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Clustering of HR + /HER2- breast cancer in an Asian cohort is driven by immune phenotypes.
Breast Cancer Res 26: 2024 67 |
0 |
Gene expression signature for predicting homologous recombination deficiency in triple-negative breast cancer.
NPJ Breast Cancer 10: 2024 60 |
1 |