ArticleBreast cancer research and treatment2014
Molecular features of the basal-like breast cancer subtype based on BRCA1 mutation status.
Article in Breast cancer research and treatment, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05872412 (Effect of Platinum-based Versus Non-platinum-based Neoadjuvant Chemotherapy in Triple-negative Breast Cancer), which is not on this map. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Effect of Platinum-based Versus Non-platinum-based Neoadjuvant Chemotherapy in Triple-negative Breast Cancer
Who cites it
18 citing papers in PubMed, 44 citations in OpenAlex.
- Real-world clinical outcomes of patients with early-stage TNBC and BRCAm who were treated with adjuvant capecitabine in the United States.Breast cancer research and treatment · 2026Observational
- The Roles of MicroRNAs, Oncogenes, and Tumor Suppressor Gene Molecular Subtypes of Breast Cancer: Therapeutic Potential of Pharmaceutical and Natural Products.International journal of breast cancer · 2026Review
- Luminal and Basal Subtypes Across Carcinomas: Molecular Programs Beyond Tissue of Origin.Cancers · 2025Review
- Human Cytomegalovirus Infection and Breast Cancer: A Literature Review of Clinical and Experimental Data.Biology · 2025Review
- Nanotechnology-Driven Treatment Strategies for Breast Cancer: Recent Advances and Innovations.Oncology research · 2025Review
- Transcriptome Meta-Analysis of Triple-Negative Breast Cancer Response to Neoadjuvant Chemotherapy.Cancers · 2023Article
- Metabolism and immunity in breast cancer.Frontiers of medicine · 2021Review
- Novel therapeutic compounds for prostate adenocarcinoma treatment: An analysis using bioinformatic approaches and the CMap database.Medicine · 2020Article
- How to Choose a Mouse Model of Breast Cancer, a Genomic Perspective.Journal of mammary gland biology and neoplasia · 2019Review
- The Diverse Consequences ofCancers · 2019Review
- Pathological Response and Survival in Triple-Negative Breast Cancer Following Neoadjuvant Carboplatin plus Docetaxel.Clinical cancer research : an official journal of the American Association for Cancer Research · 2018Article
- Expression of ID4 protein in breast cancer cells induces reprogramming of tumour-associated macrophages.Breast cancer research : BCR · 2018Article
- Silencing the roadblocks to effective triple-negative breast cancer treatments by siRNA nanoparticles.Endocrine-related cancer · 2017Review
- Efficacy of Neoadjuvant Carboplatin plus Docetaxel in Triple-Negative Breast Cancer: Combined Analysis of Two Cohorts.Clinical cancer research : an official journal of the American Association for Cancer Research · 2017Article
- Biology and Management of Patients With Triple-Negative Breast Cancer.The oncologist · 2016Review
- An integrated genomics analysis of epigenetic subtypes in human breast tumors links DNA methylation patterns to chromatin states in normal mammary cells.Breast cancer research : BCR · 2016Article
- Article
- Proper genomic profiling of (BRCA1-mutated) basal-like breast carcinomas requires prior removal of tumor infiltrating lymphocytes.Molecular oncology · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BRCA1-mutated breast cancer is associated with basal-like disease; however, it is currently unclear if the presence of a BRCA1 mutation depicts a different entity within this subgroup. In this study, we compared the molecular features among basal-like tumors with and without BRCA1 mutations. Fourteen patients with BRCA1-mutated (nine germline and five somatic) tumors and basal-like disease, and 79 patients with BRCA1 non-mutated tumors and basal-like disease, were identified from the cancer genome atlas dataset. The following molecular data types were evaluated: global gene expression, selected protein and phospho-protein expression, global miRNA expression, global DNA methylation, total number of somatic mutations, TP53 and PIK3CA somatic mutations, and global DNA copy-number aberrations. For intrinsic subtype identification, we used the PAM50 subtype predictor. Within the basal-like disease, we observed minor molecular differences in terms of gene, protein, and miRNA expression, and DNA methylation variation, according to BRCA1 status (either germinal or somatic). However, there were significant differences according to average number of mutations and DNA copy-number aberrations, and four amplified regions (2q32.2, 3q29, 6p22.3, and 22q12.2), which are characteristic in high-grade serous ovarian carcinomas, were observed in both germline and somatic BRCA1-mutated breast tumors. These results suggest that minor, but potentially relevant, baseline molecular features exist among basal-like tumors according to BRCA1 status. Additional studies are needed to better clarify if BRCA1 genetic status is an independent prognostic feature, and more importantly, if BRCA1 mutation status is a predictive biomarker of benefit from DNA-damaging agents among basal-like disease.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.