Abstract
Purpose
Neoadjuvant systemic therapy (NAC) is currently used in the treatment of stage II/III breast cancer. Pathological complete response as a surrogate endpoint for clinical outcomes is not completely validated for all subgroups of breast cancers. Therefore, there is a need for reliable predictive tests of the most effective treatment.
Methods
We used a combination of predictive clinical, pathological, and gene expression-based markers of response to NAC in a prospective phase II multicentre randomized clinical trial in breast cancer patients, with a long follow-up (8 years). This study concerned the subpopulation of 188 patients with similar levels of pathological response rates to sequential epirubicin/cyclophosphamide and docetaxel to determine predictive marker of pCR and DFS. We used a set of 45 genes selected from high throughput analysis and a standardized RT-qPCR. We analyzed the predictive markers of pathological complete response (pCR) and DFS in the overall population and DFS the subpopulation of 159 patients with no pCR.
Results
In the overall population, combining both clinical and genomic variables, large tumor size, low TFF1, and MYBL2 overexpression were significantly associated with pCR. T4 Stage, lymphovascular invasion, negative PR status, histological type, and high values of CCNB1 were associated with DFS. In the no pCR population, only lymphovascular invasion and high values of BIRC5 were associated with DFS.
Conclusions
We confirm the importance of ER-related and proliferation genes in the prediction of pCR in NAC-treated breast cancer patients. Furthermore, we identified BIRC5 (survivin) as a main pejorative prognostic factor in patients with breast cancers with no pCR. These results also open perspective for predictive markers of new targeted therapies.
Similar content being viewed by others
Abbreviations
- ER:
-
Estrogen receptor
- HER2:
-
Human epidermal growth factor receptor 2
- DFS:
-
Disease-free survival
- ER:
-
Estrogen receptor
- NAC:
-
Neoadjuvant chemotherapy
- pCR:
-
Pathological complete response
- PgR:
-
Progesterone receptor
References
Sotiriou C, Wirapati P, Loi S, Harris A, Fox S et al (2006) Gene expression profiling in breast cancer: understanding the molecular basis of histologic grade to improve prognosis. J Natl Cancer Inst 98:262–272
Fisher B, Bryant J, Wolmark N, Mamounas E, Brown A et al (1998) Effect of preoperative chemotherapy on the outcome of women with operable breast cancer. J Clin Oncol 16:2672–2685
Smith IC, Heys SD, Hutcheon AW, Miller ID, Payne S et al (2002) Neoadjuvant chemotherapy in breast cancer: significantly enhanced response with docetaxel. J Clin Oncol 20:1456–1466
Funt SA, Chapman PB (2016) The role of neoadjuvant trials in drug development for solid tumors. Clin Cancer Res 22:2323–2328
Cortazar P, Zhang L, Untch M, Mehta K, Costantino JP et al (2014) Pathological complete response and long-term clinical benefit in breast cancer: the CTNeoBC pooled analysis. Lancet 384:164–172
Berruti A, Amoroso V, Gallo F, Bertaglia V, Simoncini E et al (2014) Pathologic complete response as a potential surrogate for the clinical outcome in patients with breast cancer after neoadjuvant therapy: a meta-regression of 29 randomized prospective studies. J Clin Oncol 32:3883–3891
Darb-Esfahani S, Loibl S, Müller BM, Roller M, Denkert C et al (2009) Identification of biology-based breast cancer types with distinct predictive and prognostic features: role of steroid hormone and HER2 receptor expression in patients treated with neoadjuvant anthracycline/taxane-based chemotherapy. Breast Cancer Res 11:R69
Li XR, Liu M, Zhang YJ, Wang JD, Zheng YQ et al (2011) CK5/6, EGFR, Ki-67, cyclin D1, and nm23-H1 protein expressions as predictors of pathological complete response to neoadjuvant chemotherapy in triple-negative breast cancer patients. Med Oncol 28(1):S129–S134
Lips EH, Mulder L, de Ronde JJ, Mandjes IA, Vincent A et al (2012) Neoadjuvant chemotherapy in ER+ HER2− breast cancer: response prediction based on immunohistochemical and molecular characteristics. Breast Cancer Res Treat 131:827–836
von Minckwitz G, Fontanella C (2013) Selecting the neoadjuvant treatment by molecular subtype: how to maximize the benefit? Breast 22(Suppl 2):S149–S151
Pierga JY, Delaloge S, Espié M, Brain E, Sigal-Zafrani B et al (2010) A multicenter randomized phase II study of sequential epirubicin/cyclophosphamide followed by docetaxel with or without celecoxib or trastuzumab according to HER2 status, as primary chemotherapy for localized invasive breast cancer patients. Breast Cancer Res Treat 122:429–437
Chevallier B, Roche H, Olivier JP, Chollet P, Hurteloup P (1993) Inflammatory breast cancer Pilot study of intensive induction chemotherapy (FEC-HD) results in a high histologic response rate. Am J Clin Oncol 16:223–228
de Cremoux P, Valet F, Gentien D, Lehmann-Che J, Scott V et al (2011) Importance of pre-analytical steps for transcriptome and RT-qPCR analyses in the context of the phase II randomised multicentre trial REMAGUS02 of neoadjuvant chemotherapy in breast cancer patients. BMC Cancer 11:215
Valet F, de Cremoux P, Spyratos F, Servant N, Dujaric ME et al (2013) Challenging single- and multi-probesets gene expression signatures of pathological complete response to neoadjuvant chemotherapy in breast cancer: experience of the REMAGUS 02 phase II trial. Breast 22:1052–1059
Weigel MT, Dowsett M (2010) Current and emerging biomarkers in breast cancer: prognosis and prediction. Endocr Relat Cancer 17:R245–R262
Toss A, Cristofanilli M (2015) Molecular characterization and targeted therapeutic approaches in breast cancer. Breast Cancer Res 17:60
Lankelma JM, Voorend DM, Barwari T, Koetsveld J, Van der Spek AH et al (2010) Cathepsin L, target in cancer treatment? Life Sci 86:225–233
Ren F, Tang R, Zhang X, Madushi WM, Luo D et al (2015) Overexpression of MMP family members functions as prognostic biomarker for breast cancer patients: a systematic review and meta-analysis. PLoS One 10:e0135544
Smoter M, Bodnar L, Duchnowska R, Stec R, Grala B et al (2011) The role of Tau protein in resistance to paclitaxel. Cancer Chemother Pharmacol 68:553–557
Brase JC, Schmidt M, Fischbach T, Sültmann H, Bojar H et al (2010) ERBB2 and TOP2A in breast cancer: a comprehensive analysis of gene amplification, RNA levels, and protein expression and their influence on prognosis and prediction. Clin Cancer Res 16:2391–2401
Wang D, Dubois RN (2004) Cyclooxygenase-2: a potential target in breast cancer. Semin Oncol 31:64–73
McShane LM, Altman DG, Sauerbrei W, Taube SE, Gion M et al (2006) Reporting recommendations for tumor marker prognostic studies (REMARK). Breast Cancer Res Treat 100:229–235
Houssami N, Macaskill P, von Minckwitz G, Marinovich ML, Mamounas E (2012) Meta-analysis of the association of breast cancer subtype and pathologic complete response to neoadjuvant chemotherapy. Eur J Cancer 48:3342–3354
Whitfield ML, George LK, Grant GD, Perou CM (2006) Common markers of proliferation. Nat Rev Cancer 6:99–106
The Cancer Genome Atlas Network (2012) Comprehensive molecular portraits of human breast tumours. Nature 490:61–70
Spyratos F, Valet F, Bièche I, Scott V, Lehmann-Che J et al (2012) Comments on the use of a single or multiple probeset approach for microarray-based analyses of routine molecular markers in breast cancer. Breast Cancer Res Treat 134:443–448
Gianni L, Zambetti M, Clark K, Baker J, Cronin M et al (2005) Gene expression profiles in paraffin-embedded core biopsy tissue predict response to chemotherapy in women with locally advanced breast cancer. J Clin Oncol 23:7265–7277
Tordai A, Wang J, Andre F, Liedtke C, Yan K et al (2008) Evaluation of biolgical pathways involved in chemotherapy response in breast cancer. Breast Cancer Res 10:R37
Witkiewicz AK, Balaji U, Knudsen ES (2014) Systematically defining single-gene determinants of response to neoadjuvant chemotherapy reveals specific biomarkers. Clin Cancer Res 20:4837–4848
Liu R, Lv QL, Yu J, Hu L, Zhang LH et al (2015) Correlating transcriptional networks with pathological complete response following neoadjuvant chemotherapy for breast cancer. Breast Cancer Res Treat 151:607–618
Liu YL, Saraf A, Lee SM, Zhong X, Hibshoosh H et al (2016) Lymphovascular invasion is an independent predictor of survival in breast cancer after neoadjuvant chemotherapy. Breast Cancer Res Treat 157(3):555–564
Ambrosini G, Adida C, Altieri DC (1997) A novel anti-apoptosis gene, survivin, expressed in cancer and lymphoma. Nat Med 3:917–921
Altieri DC (2008) New wirings in the survivin networks. Oncogene 27:6276–6284
Tanaka K, Iwamoto S, Gon G, Nohara T, Iwamoto M et al (2000) Expression of survivin and its relationship to loss of apoptosis in breast carcinomas. Clin Cancer Res 6:127–134
Hinnis AR, Luckett JC, Walker RA (2007) Survivin is an independent predictor of short-term survival in poor prognostic breast cancer patients. Br J Cancer 96:639–645
Ryan BM, Konecny GE, Kahlert S, Wang HJ, Untch M et al (2006) Survivin expression in breast cancer predicts clinical outcome and is associated with HER2, VEGF, urokinase plasminogen activator and PAI-1. Ann Oncol 17:597–604
Yamashita S, Masuda Y, Kurizaki T, Haga Y, Murayama T et al (2007) Survivin expression predicts early recurrence in early-stage breast cancer. Anticancer Res 27:2803–2808
Masuda PN, Sweep FC, Wiegerinck ET, Tjan-Heijnen VC, Manders P et al (2004) Survivin is an independent prognostic marker for risk stratification of breast cancer patients. Clin Chem 50:1986–1993
Kennedy SM, O’Driscoll L, Purcell R, Fitz-Simons N, McDermott EW et al (2003) Prognostic importance of survivin in breast cancer. Br J Cancer 88:1077–1083
Petrarca CR, Brunetto AT, Duval V, Brondani A, Carvalho GP et al (2011) Survivin as a predictive biomarker of complete pathologic response to neoadjuvant chemotherapy in patients with stage II and stage III breast cancer. Clin Breast Cancer 11:129–134
Span PN, Tjan-Heijnen VC, Sweep FC (2007) Is survivin expression nevertheless related to disease outcome in breast cancer? Breast Cancer Res Treat 103:109
Li Y, Ma X, Wu X, Liu X, Liu L (2014) Prognostic significance of survivin in breast cancer: meta-analysis. Breast J 20:514–524
Song J, Su H, Zhou YY, Guo LL (2013) Prognostic value of survivin expression in breast cancer patients: a meta-analysis. Tumour Biol 34:2053–2062
Faversani A, Vaira V, Moro GP, Tosi D, Lopergolo A et al (2014) Survivin family proteins as novel molecular determinants of doxorubicin resistance in organotypic human breast tumors. Breast Cancer Res 16:R55
Wang S, Wang L, Chen M, Wang Y (2015) Gambogic acid sensitizes resistant breast cancer cells to doxorubicin through inhibiting P-glycoprotein and suppressing survivin expression. Chem Biol Interact 235:76–84
Hu Y, Xu K, Yagüe E (2015) miR-218 targets survivin and regulates resistance to chemotherapeutics in breast cancer. Breast Cancer Res Treat 151:269–280
Véquaud E, Desplanques G, Jézéquel P, Juin P, Barillé-Nion S (2016) Survivin contributes to DNA repair by homologous recombination in breast cancer cells. Breast Cancer Res Treat 155:53–63
Chen X, Duan N, Zhang C, Zhang W (2016) Survivin and tumorigenesis: molecular mechanisms and therapeutic strategies. J Cancer 7:314–323
Clemens MR, Gladkov OA, Gartner E, Vladimirov V, Crown J et al (2015) Phase II, multicenter, open-label, randomized study of YM155 plus docetaxel as first-line treatment in patients with HER2-negative metastatic breast cancer. Breast Cancer Res Treat 149:171–179
Nestal de Moraes G, Delbue D, Silva KL, Robaina MC, Khongkow P et al (2015) FOXM1 targets XIAP and survivin to modulate breast cancer survival and chemoresistance. Cell Signal 27:2496–2505
Paik S, Shak S, Tang G, Kim C, Baker J et al (2004) A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer. N Engl J Med 51:2817–2826
Filipits M, Rudas M, Jakesz R, Dubsky P, Fitzal F et al (2011) A new molecular predictor of distant recurrence in ER-positive, HER2-negative breast cancer adds independent information to conventional clinical risk factors. Clin Cancer Res 17:6012–6020
Wallden B, Storhoff J, Nielsen T, Dowidar N, Schaper C et al (2015) Development and verification of the PAM50-based prosigna breast cancer gene signature assay. BMC Med Genom 8:54
Acknowledgments
We thank the members of the Remagus02 group (S Delaloge, M Espié, S Giacchetti, E Brain, JY Pierga) for their contribution to this work. We thank K Tran-Perennou, C Barbaroux, and S Vacher for their helpful technical contribution. We thank Y de Rycke for his expert biostatistics contribution and helpful discussions. This work was supported by Academic Grants (PHRC AOM/2OO2/02117) and Industrial Grants from Pfizer Inc., Roche, Sanofi- Aventis ISRCTN100599. AS Hamy-Petit was supported by an ITMO-INSERM-AVIESAN cancer translational research Grant.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have no competing interest.
Additional information
F. Spyratos and P. de Cremoux have contributed equally to the study
Electronic supplementary material
Below is the link to the electronic supplementary material.
Rights and permissions
About this article
Cite this article
Hamy, A.S., Bieche, I., Lehmann-Che, J. et al. BIRC5 (survivin): a pejorative prognostic marker in stage II/III breast cancer with no response to neoadjuvant chemotherapy. Breast Cancer Res Treat 159, 499–511 (2016). https://doi.org/10.1007/s10549-016-3961-2
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10549-016-3961-2