ArticleBreast cancer research : BCR2011
Quantitative copy number analysis by Multiplex Ligation-dependent Probe Amplification (MLPA) of BRCA1-associated breast cancer regions identifies BRCAness.
Article in Breast cancer research : BCR, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 1 of them a synthesis that pooled it.
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48 citing papers in PubMed, 1 synthesis or guideline pooled it, 90 citations in OpenAlex.
- Meta-Analysis of Tumor Stem-Like Breast Cancer Cells Using Gene Set and Network Analysis.PloS one · 2016Pooled it
- Recombination junctions from antibody isotype switching classify immune and DNA repair dysfunction.Nature communications · 2025Article
- Reply to: "Comments on the paper 'Extensive epigenomic dysregulation is a hallmark of homologous recombination deficiency in triple-negative breast cancer' by Y. Chen et al."International journal of cancer · 2025Article
- Breast cancer homologous recombination deficiency prediction from pathological images with a sufficient and representative Transformer.NPJ precision oncology · 2025Article
- Extensive epigenomic dysregulation is a hallmark of homologous recombination deficiency in triple-negative breast cancer.International journal of cancer · 2025Article
- BRCAness of brain lesions reflects a worse outcome for patients with metastatic breast cancer.Breast cancer research and treatment · 2024Article
- Review
- High-dose alkylating chemotherapy in BRCA-altered triple-negative breast cancer: the randomized phase III NeoTN trial.NPJ breast cancer · 2023Article
- Homologous Recombination Deficiency Across Subtypes of Primary Breast Cancer.JCO precision oncology · 2023Article
- Relationship between homologous recombination deficiency and clinical features of breast cancer based on genomic scar score.Breast (Edinburgh, Scotland) · 2023Article
- A MALDI-TOF mass spectrometry-based method for detection of copy number variations inFrontiers in molecular biosciences · 2023Article
- Toward More Comprehensive Homologous Recombination Deficiency Assays in Ovarian Cancer, Part 1: Technical Considerations.Cancers · 2022Review
- PARP Inhibitors: A Major Therapeutic Option in Endocrine-Receptor Positive Breast Cancers.Cancers · 2022Review
- Hereditary breast and ovarian cancer (HBOC): review of its molecular characteristics, screening, treatment, and prognosis.Breast cancer (Tokyo, Japan) · 2021Review
- Copy Number Variation and Rearrangements Assessment in Cancer: Comparison of Droplet Digital PCR with the Current Approaches.International journal of molecular sciences · 2021Review
- Pathogenicity assessment of variants for breast cancer susceptibility genes based on BRCAness of tumor sample.Cancer science · 2021Observational
- MEDALT: single-cell copy number lineage tracing enabling gene discovery.Genome biology · 2021Article
- Targeting DNA Damage Response Pathway in Ovarian Clear Cell Carcinoma.Frontiers in oncology · 2021Review
- BRCAness digitalMLPA profiling predicts benefit of intensified platinum-based chemotherapy in triple-negative and luminal-type breast cancer.Breast cancer research : BCR · 2020Article
- BRCAness as an Important Prognostic Marker in Patients with Triple-Negative Breast Cancer Treated with Neoadjuvant Chemotherapy: A Multicenter Retrospective Study.Diagnostics (Basel, Switzerland) · 2020Article
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10 authors at 3 institutions in 1 country.
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Abstract
introductionOur group has previously employed array Comparative Genomic Hybridization (aCGH) to assess the genomic patterns of BRCA1-mutated breast cancers. We have shown that the so-called BRCA1-like(aCGH) profile is also present in about half of all triple-negative sporadic breast cancers and is predictive for benefit from intensified alkylating chemotherapy. As aCGH is a rather complex method, we translated the BRCA1(aCGH) profile to a Multiplex Ligation-dependent Probe Amplification (MLPA) assay, to identify both BRCA1-mutated breast cancers and sporadic cases with a BRCA1-like(aCGH) profile.
methodsThe most important genomic regions of the original aCGH based classifier (3q22-27, 5q12-14, 6p23-22, 12p13, 12q21-23, 13q31-34) were mapped to a set of 34 MLPA probes. The training set consisted of 39 BRCA1-like(aCGH) breast cancers and 45 non-BRCA1-like(aCGH) breast cancers, which had previously been analyzed by aCGH. The BRCA1-like(aCGH) group consisted of germline BRCA1-mutated cases and sporadic tumours with low BRCA1 gene expression and/or BRCA1 promoter methylation. We trained a shrunken centroids classifier on the training set and validation was performed on an independent test set of 40 BRCA1-like(aCGH) breast cancers and 32 non-BRCA1-like(aCGH) breast cancer tumours. In addition, we validated the set prospectively on 69 new triple-negative tumours.
resultsBRCAness in the training set of 84 tumours could accurately be predicted by prediction analysis of microarrays (PAM) (accuracy 94%). Application of this classifier on the independent validation set correctly predicted BRCA-like status of 62 out of 72 breast tumours (86%). Sensitivity and specificity were 85% and 87%, respectively. When the MLPA-test was subsequently applied to 46 breast tumour samples from a randomized clinical trial, the same survival benefit for BRCA1-like tumours associated with intensified alkylating chemotherapy was shown as was previously reported using the aCGH assay.
conclusionsSince the MLPA assay can identify BRCA1-deficient breast cancer patients, this method could be applied both for clinical genetic testing and as a predictor of treatment benefit. BRCA1-like tumours are highly sensitive to chemotherapy with DNA damaging agents, and most likely to poly ADP ribose polymerase (PARP)-inhibitors. The MLPA assay is rapid and robust, can easily be multiplexed, and works well with DNA derived from paraffin-embedded tissues.
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