On-treatment biopsies to predict response to neoadjuvant chemotherapy for breast cancer

Author:

Sinn Bruno Valentin1,Sychra Katharina1,Untch Michael2,Karn Thomas3,Mackelenbergh Marion van4,Huober Jens5,Schmitt Wolfgang1,Marmé Frederik6,Schem Christian7,Solbach Christine8,Stickeler Elmar9,Tesch Hans10,Fasching Peter A.11,Schneeweiss Andreas12,Müller Volkmar13,Holtschmidt Johannes14,Nekljudova Valentina14,Loibl Sibylle14,Denkert Carsten15

Affiliation:

1. Department of Pathology, Charité – Universitätsmedizin Berlin, Berlin

2. Department of Gynecology, Helios Kliniken Berlin-Buch, Berlin

3. Department of Gynecology and Obstetrics, Goethe-University, Frankfurt

4. Department of Gynecology and Obstetrics, Universitätsklinikum Schleswig-Holstein, Kiel

5. Breast Center St. Gallen, Kantonsspital St. Gallen, St. Gallen

6. Department of Gynecology, Universitätsklinikum Mannheim, Mannheim

7. Mammazentrum Hamburg

8. Breast Center, Universitätsklinikum Frankfurt, Frankfurt

9. Department of Gynecology, Uniklinik RWTH Aachen, Aachen

10. Centrum für Hämatologie und Onkologie Bethanien, Hamburg

11. Department of Gynecology and Obstetrics, University Hospital Erlangen

12. Universitätsfrauenklinik Heidelberg, Heidelberg

13. Department of Gynecology, Universitätsklinikum Hamburg-Eppendorf, Hamburg

14. German Breast Group, Neu-Isenburg

15. Department of Pathology, Philipps-University Marburg and University Hospital Marburg (UKGM), Marburg

Abstract

Abstract

Background Patients with pathologic complete response (pCR) to neoadjuvant chemotherapy for invasive breast cancer (BC) have better outcomes, potentially warranting less extensive surgical and systemic treatments. Early prediction of treatment response could aid in adapting therapies. Methods On-treatment biopsies from 297 patients with invasive BC in three randomized, prospective neoadjuvant trials were assessed. BC quantity, tumor-infiltrating lymphocytes (TILs), and the proliferation marker Ki-67 were compared to pre-treatment samples. The study investigated the correlation between residual cancer, changes in Ki-67 and TILs, and their impact on pathologic complete response (pCR) and disease-free survival (DFS). Results Among the 297 samples, 138 (46%) were hormone receptor-positive (HR+)/human epidermal growth factor 2-negative (HER2-), 87 (29%) were triple-negative (TNBC), and 72 (24%) were HER2+. Invasive tumor cells were found in 70% of on-treatment biopsies, with varying rates across subtypes (HR+/HER2-: 84%, TNBC: 62%, HER2+: 51%; p < 0.001). Patients with residual tumor on-treatment had an 8% pCR rate post-treatment (HR+/HER2-: 3%, TNBC: 19%, HER2+: 11%), while those without any invasive tumor had a 50% pCR rate (HR+/HER2-: 27%; TNBC: 48%, HER2+: 66%). Sensitivity for predicting residual disease was 0.81, with positive and negative predictive values of 0.92 and 0.50, respectively. Increasing TILs from baseline to on-treatment biopsy (if residual tumor was present) were linked to higher pCR likelihood in the overall cohort (OR 1.034, 95% CI 1.013–1.056 per % increase; p = 0.001) and with a longer DFS in TNBC (HR 0.980, 95% CI 0.963–0.997 per % increase; p = 0.026). Persisting or increased Ki-67 was associated with lower pCR probability in the overall cohort (OR 0.957, 95% CI 0.928–0.986; p = 0.004) and shorter DFS in TNBC (HR 1.023, 95% CI 1.001–1.047; p = 0.04). Conclusion On-treatment biopsies can predict patients unlikely to achieve pCR post-therapy. This could facilitate therapy adjustments for TNBC or HER2 + BC. They also might offer insights into therapy resistance mechanisms. Future research should explore whether standardized or expanded sampling enhances the accuracy of on-treatment biopsy procedures. Trial Registration GeparQuattro (EudraCT 2005-001546-17; Start date: 28.06.2005), GeparQuinto (EudraCT 2006-005834-19; Start date: 27.10.2007) and GeparSixto (EudraCT 2011-000553-23; Start date: 29.09.2011).

Publisher

Research Square Platform LLC

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