Abstract
Purpose
The 70-gene signature (70-GS) is a prognostic tool, grouping patients in risk groups to assess their need for adjuvant chemotherapy. Tumor cell dissemination to the bone marrow is a marker of minimal residual disease and associated with impaired survival. In this study, we aimed to evaluate whether 70-GS is associated with the presence of disseminated tumor cells (DTCs) in the bone marrow of patients with early breast cancer.
Methods
In patients with hormone receptor-positive HER2-negative early breast cancer, the 70-GS was obtained and the presence of DTCs was immunohistochemically evaluated using cytokeratin staining with the A45-B/B3 antibody.
Results
149 patients were included into the analysis. 40 (27%) had a high-risk 70-GS and 35 (23%) had detectable DTCs in their bone marrow. 9 (22%) of the 40 patients with high-risk 70-GS and 26 (24%) of the 109 patients with a low-risk 70-GS were positive for DTCs (p = 0.863).
Conclusions
As both 70-GS and DTC detection are known prognostic factors but do not seem to correlate, a follow-up on a larger cohort is warranted to evaluate if a combination of the two is able to better stratify the relapse risk in early breast cancer patients.
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References
Hosseini H, Obradović MMS, Hoffmann M et al (2016) Early dissemination seeds metastasis in breast cancer. Nature. https://doi.org/10.1038/nature20785
Olivotto IA, Bajdik CD, Ravdin PM et al (2005) Population-based validation of the prognostic model ADJUVANT! for early breast cancer. J Clin Oncol 23:2716–2725. https://doi.org/10.1200/JCO.2005.06.178
Wishart GC, Bajdik CD, Dicks E et al (2012) PREDICT plus: development and validation of a prognostic model for early breast cancer that includes HER2. Br J Cancer 107:800–807. https://doi.org/10.1038/bjc.2012.338
Sotiriou C, Pusztai L (2009) Gene-expression signatures in breast cancer. N Engl J Med 360:790–800. https://doi.org/10.1056/NEJMra0801289
van’t Veer LJ, Dai H, van de Vijver MJ et al (2002) Gene expression profiling predicts clinical outcome of breast cancer. Nature 415:530–536. https://doi.org/10.1038/415530a
van de Vijver MJ, He YD, van’t Veer LJ et al (2002) A Gene-Expression signature as a predictor of survival in breast cancer. N Engl J Med 347:1999–2009. https://doi.org/10.1056/NEJMoa021967
Buyse M, Loi S, van’t Veer L et al (2006) Validation and clinical utility of a 70-gene prognostic signature for women with node-negative breast cancer. J Natl Cancer Inst 98:1183–1192. https://doi.org/10.1093/jnci/djj329
Cardoso F, van’t Veer LJ, Bogaerts J et al (2016) 70-Gene signature as an aid to treatment decisions in early-stage breast cancer. N Engl J Med 375:717–729. https://doi.org/10.1056/NEJMoa1602253
Schlimok G, Funke I, Holzmann B et al (1987) Micrometastatic cancer cells in bone marrow: in vitro detection with anti-cytokeratin and in vivo labeling with anti-17-1A monoclonal antibodies. Proc Natl Acad Sci 84:8672–8676. https://doi.org/10.1073/pnas.84.23.8672
Müller P, Weckermann D, Riethmüller G, Schlimok G (1996) Detection of genetic alterations in micrometastatic cells in bone marrow of cancer patients by fluorescence in situ hybridization. Cancer Genet Cytogenet 88:8–16. https://doi.org/10.1016/0165-4608(95)00189-1
Husemann Y, Geigl JB, Schubert F et al (2008) Systemic spread is an early step in breast cancer. Cancer Cell 13:58–68. https://doi.org/10.1016/j.ccr.2007.12.003
Schmidt-Kittler O, Ragg T, Daskalakis A et al (2003) From latent disseminated cells to overt metastasis: genetic analysis of systemic breast cancer progression. Proc Natl Acad Sci 100:7737–7742. https://doi.org/10.1073/pnas.1331931100
Hartkopf AD, Taran FA, Wallwiener M et al (2014) Prognostic relevance of disseminated tumour cells from the bone marrow of early stage breast cancer patients—results from a large single-centre analysis. Eur J Cancer 50:2550–2559. https://doi.org/10.1016/j.ejca.2014.06.025
Domschke C, Diel IJ, Englert S et al (2013) Prognostic value of disseminated tumor cells in the bone marrow of patients with operable primary breast cancer: a long-term follow-up study. Ann Surg Oncol 20:1865–1871. https://doi.org/10.1245/s10434-012-2814-4
Braun S, Vogl FD, Naume B et al (2005) A pooled analysis of bone marrow micrometastasis in breast cancer. N Engl J Med 353:793–802. https://doi.org/10.1056/NEJMoa050434
Fehm T, Braun S, Muller V et al (2006) A concept for the standardized detection of disseminated tumor cells in bone marrow from patients with primary breast cancer and its clinical implementation. Cancer 107:885–892. https://doi.org/10.1002/cncr.22076
Lips EH, Mukhtar RA, Yau C et al (2012) Lobular histology and response to neoadjuvant chemotherapy in invasive breast cancer. Breast Cancer Res Treat 136:35–43. https://doi.org/10.1007/s10549-012-2233-z
Straver ME, Glas AM, Hannemann J et al (2010) The 70-gene signature as a response predictor for neoadjuvant chemotherapy in breast cancer. Breast Cancer Res Treat 119:551–558. https://doi.org/10.1007/s10549-009-0333-1
Hartkopf AD, Wallwiener M, Kommoss S et al (2016) Detection of disseminated tumor cells from the bone marrow of patients with early breast cancer is associated with high 21-gene recurrence score. Breast Cancer Res Treat 156:91–95. https://doi.org/10.1007/s10549-016-3728-9
Bartlett JMS, Bayani J, Marshall A et al (2016) Comparing breast cancer multiparameter tests in the optima prelim trial: no test is more equal than the others. J Natl Cancer Inst 108:1–9. https://doi.org/10.1093/jnci/djw050
Kim C, Baker J, Ph D et al (2004) A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer. N Engl J Med 351:2817–2826. https://doi.org/10.1056/NEJMoa041588
Meng S, Tripathy D, Frenkel EP et al (2004) Circulating tumor cells in patients with breast cancer dormancy. Clin Cancer Res 10:8152–8162. https://doi.org/10.1158/1078-0432.CCR-04-1110
Janni WJ, Rack B, Terstappen LWMM et al (2016) Pooled analysis of the prognostic relevance of circulating tumor cells in primary breast cancer. Clin Cancer Res 22:2583–2593. https://doi.org/10.1158/1078-0432.CCR-15-1603
Lucci A, Hall CS, Lodhi AK et al (2012) Circulating tumour cells in non-metastatic breast cancer: a prospective study. Lancet Oncol 13:688–695. https://doi.org/10.1016/S1470-2045(12)70209-7
Bidard F-C, Proudhon C, Pierga J-Y (2016) Circulating tumor cells in breast cancer. Mol Oncol 10:418–430. https://doi.org/10.1016/j.molonc.2016.01.001
Buus R, Sestak I, Kronenwett R et al (2016) Comparison of endopredict and epclin with oncotype dx recurrence score for prediction of risk of distant recurrence after endocrine therapy. J Natl Cancer Inst 108:1–7. https://doi.org/10.1093/jnci/djw149
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Walter, V.P., Taran, FA., Wallwiener, M. et al. A high-risk 70-gene signature is not associated with the detection of tumor cell dissemination to the bone marrow. Breast Cancer Res Treat 169, 305–309 (2018). https://doi.org/10.1007/s10549-018-4679-0
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DOI: https://doi.org/10.1007/s10549-018-4679-0