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 (n86 and n55). Quantitative reverse transcription polymerase chain reaction (qRT-PCR) was performed in formalin-fixed, paraffin-embedded (FFPE) samples from two neoadjuvant phase III trials (GeparTrio, n212, and GeparQuattro, n383).Results:A strong predictive capacity of thymosin beta 15 (TMSB15A) gene expression was evident in both fresh frozen cohorts (P0.0001; P0.0042). In the GeparTrio FFPE training cohort, a significant linear correlation between TMSB15A expression and pCR was apparent in triple-negative breast cancer (TNBC) (n61, P0.040). 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 (P0.017) and the pre-defined cutoff point were validated in 134 TNBC from GeparQuattro (pCR rate 36.8% vs 17.0%, P0.020). 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.
| Original language | English |
|---|---|
| Journal | British Journal of Cancer |
| Volume | 107 |
| Issue number | 11 |
| Pages (from-to) | 1892-1900 |
| Number of pages | 9 |
| ISSN | 0007-0920 |
| DOIs | |
| Publication status | Published - 20.11.2012 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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