ArticleBreast cancer (Tokyo, Japan)2021
Differential expression of the BCAT isoforms between breast cancer subtypes.
Article in Breast cancer (Tokyo, Japan), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 15 citations in OpenAlex.
- Role of branched chain amino acid metabolism on aging.Biogerontology · 2025Review
- Metabolic Adaptations in Cancer Progression: Optimization Strategies and Therapeutic Targets.Cancers · 2025Review
- Isocitrate dehydrogenase 1 gene mutations: a case review unveiling its biological impact on disease progression, prognosis and treatment in Chilean patients.BJR case reports · 2025Review
- Branched-Chain Amino Acid Metabolic Reprogramming and Cancer: Molecular Mechanisms, Immune Regulation, and Precision Targeting.Oncology research · 2025Review
- A Review on Branched-Chain Amino Acid Aminotransferase (BCAT) Inhibitors: Current Status, Challenges and Perspectives.Current medicinal chemistry · 2025Review
- Triple-negative breast cancer and ferroptosis: expression profiling of key regulatory genes.Archives of medical science : AMS · 2025Article
- Amino acid metabolism in health and disease.Signal transduction and targeted therapy · 2023Review
- Branched-chain amino acids catabolism and cancer progression: focus on therapeutic interventions.Frontiers in oncology · 2023Review
- Article
- The mechanism of branched-chain amino acid transferases in different diseases: Research progress and future prospects.Frontiers in oncology · 2022Review
- An overview of branched-chain amino acid aminotransferases: functional differences between mitochondrial and cytosolic isozymes in yeast and human.Applied microbiology and biotechnology · 2021Review
- Nuclear Receptor-Mediated Metabolic Reprogramming and the Impact on HR+ Breast Cancer.Cancers · 2021Review
- Mass Spectrometry-Based Proteomics Technologies to Define Endogenous Protein-Protein Interactions and Their Applications to Cancer and Viral Infectious Diseases.Mass spectrometry reviewsReview
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Authors and funding
8 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBiological characterisation of breast cancer subtypes is essential as it informs treatment regimens especially as different subtypes have distinct locoregional patterns. This is related to metabolic phenotype, where altered cellular metabolism is a fundamental adaptation of cancer cells during rapid proliferation. In this context, the metabolism of the essential branched-chain amino acids (BCAAs), catalysed by the human branched-chain aminotransferase proteins (hBCAT), offers multiple benefits for tumour growth. Upregulation of the cytosolic isoform of hBCAT (hBCATc), regulated by c-Myc, has been demonstrated to increase cell migration, tumour aggressiveness and proliferation in gliomas, ovarian and colorectal cancer but the importance of the mitochondrial isoform, hBCATm has not been fully investigated.
methodsUsing immunohistochemistry, the expression profile of metabolic proteins (hBCAT, IDH) was assessed between breast cancer subtypes, HER2 + , luminal A, luminal B and TNBC. Correlations between the percentage and the intensity of protein expression/co-expression with clinical parameters, such as hormone receptor status, tumour stage, lymph-node metastasis and survival, were determined.
resultsWe show that hBCATc expression was found to be significantly associated with the more aggressive HER2 + and luminal B subtypes, whilst hBCATm and IDH1 associated with luminal A subtype. This was concomitant with better prognosis indicating a differential metabolic reliance between these two subtypes, in which enhanced expression of IDH1 may replenish the α-ketoglutarate pool in cells with increased hBCATm expression.
conclusionThe cytosolic isoform of BCAT is associated with tumours that express HER2 receptors, whereas the mitochondrial isoform is highly expressed in tumours that are ER + , indicating that the BCAT proteins are regulated through different signalling pathways, which may lead to the identification of novel targets for therapeutic applications targeting dysregulated cancer metabolism.
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