ArticleBiology direct2024
A comprehensive molecular characterization of a claudin-low luminal B breast tumor.
Article in Biology direct, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
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Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Multimodal deep learning for predicting neoadjuvant treatment outcomes in breast cancer: a systematic review.Biology direct · 2025Pooled it
- The role of HECT-type E3 ubiquitin ligases in DNA damage response and repair.Cell death discovery · 2025Review
- Emerging Breast Cancer Subpopulations: Functional Heterogeneity Beyond the Classical Subtypes.International journal of molecular sciences · 2025Review
- Hsa_circ_0062522 affects the progression and tamoxifen resistance of estrogen receptor-positive breast cancer by targeting miR-3163.Discover oncology · 2025Article
- Mercury Bioaccumulation in Female Breast Cancer Is Associated to CXCR4 Expression.International journal of molecular sciences · 2025Article
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Authors and funding
11 authors.
Funding
Abstract
Breast cancer is the most common cause of death from cancer in women. Here, we present the case of a 43-year-old woman, who received a diagnosis of claudin-low luminal B breast cancer. The lesion revealed to be a poorly differentiated high-grade infiltrating ductal carcinoma, which was strongly estrogen receptor (ER)/progesterone receptor (PR) positive and human epidermal growth factor receptor (HER2) negative. Her tumor underwent in-depth chromosomal, mutational and gene expression analyses. We found a pathogenic protein truncating mutation in the TP53 gene, which is predicted to disrupt its transcriptional activity. The patient also harbors germline mutations in some mismatch repair (MMR) genes, and her tumor displays the presence of immune infiltrates, high tumor mutational burden (TMB) status and the apolipoprotein B mRNA editing enzyme catalytic polypeptide 3 (APOBEC3) associated signatures, which, overall, are predictive for the use of immunotherapy. Here, we propose promising prognostic indicators as well as potential therapeutic strategies based on the molecular characterization of the tumor.
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Registered trials
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