Thymosin beta 15A (TMSB15A) is a predictor of chemotherapy response in triple-negative breast cancer View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2012-11

AUTHORS

S Darb-Esfahani, R Kronenwett, G von Minckwitz, C Denkert, M Gehrmann, A Rody, J Budczies, J C Brase, M K Mehta, H Bojar, B Ataseven, T Karn, E Weiss, D M Zahm, F Khandan, M Dietel, S Loibl

ABSTRACT

BACKGROUND: Biomarkers predictive of pathological complete response (pCR) to neoadjuvant chemotherapy (NACT) of breast cancer are urgently needed. METHODS: Using a training/validation approach for detection of predictive biomarkers in HER2-negative breast cancer, pre-therapeutic core biopsies from four independent cohorts were investigated: Gene array data were analysed in fresh frozen samples of two cohorts (n=86 and n=55). Quantitative reverse transcription polymerase chain reaction (qRT-PCR) was performed in formalin-fixed, paraffin-embedded (FFPE) samples from two neoadjuvant phase III trials (GeparTrio, n=212, and GeparQuattro, n=383). RESULTS: A strong predictive capacity of thymosin beta 15 (TMSB15A) gene expression was evident in both fresh frozen cohorts (P<0.0001; P<0.0042). In the GeparTrio FFPE training cohort, a significant linear correlation between TMSB15A expression and pCR was apparent in triple-negative breast cancer (TNBC) (n=61, P=0.040). A cutoff point was then defined that divided TNBC into a low and a high expression group (pCR rate 16.0% vs 47.2%). Both linear correlation of TMSB15A mRNA levels (P=0.017) and the pre-defined cutoff point were validated in 134 TNBC from GeparQuattro (pCR rate 36.8% vs 17.0%, P=0.020). No significant predictive capacity was observed in luminal carcinomas from GeparTrio and GeparQuattro. CONCLUSION: In TNBC, TMSB15A gene expression analysis might help to select patients with a high chance for pCR after NACT. More... »

PAGES

1892

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  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/bjc.2012.475

    DOI

    http://dx.doi.org/10.1038/bjc.2012.475

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1002671698

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/23079573


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