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. 2024 Sep;207(2):263-274.
doi: 10.1007/s10549-024-07390-y. Epub 2024 Jun 14.

The REMAR (Rhein-Main-Registry) real-world study: prospective evaluation of the 21-gene breast recurrence score® assay in addition to Ki-67 for adjuvant treatment decisions in early-stage breast cancer

Affiliations

The REMAR (Rhein-Main-Registry) real-world study: prospective evaluation of the 21-gene breast recurrence score® assay in addition to Ki-67 for adjuvant treatment decisions in early-stage breast cancer

Christian Jackisch et al. Breast Cancer Res Treat. 2024 Sep.

Abstract

Purpose: Ki-67 is recommended by international/national guidelines for risk stratification in early breast cancer (EBC), particularly for defining "intermediate risk," despite inter-laboratory/inter-observer variability and cutoff uncertainty. We investigated Ki-67 (> 10%- < 40%, determined locally) as a prognostic marker for intermediate/high risk in EBC, pN0-1 patients.

Methods: This prospective, non-interventional, real-world study included females ≥ 18 years, with pN0/pN1mi/pN1, HR+ , HER2-negative EBC, and locally determined Ki-67 ranging 10%-40%. The primary outcome was changes in treatment recommendations after disclosing the Oncotype DX Breast Recurrence Score®(RS) assay result.

Results: The analysis included 567 patients (median age, 57 [range, 29-83] years; 70%/1%/29%/ with pN0/pN1mi/pN1 disease; 81% and 19% with RS results 0-25 and 26-100, respectively). The correlations between local and central Ki-67, local Ki-67, and the RS, and central Ki-67 and the RS results were weak (r = 0.35, r = 0.3, and r = 0.46, respectively), and discrepancies were noted in both directions (e.g., local Ki-67 was lower or higher than central Ki-67). After disclosing the RS, treatment recommendations changed for 190 patients (34%). Changes were observed in pN0 and pN1mi/pN1 patients and in patients with centrally determined Ki-67 ≤ 10% and > 10%. Treatment changes were aligned with RS results (adding chemotherapy for patients with higher RS results, omitting it for lower RS results), and their net result was 8% reduction in adjuvant chemotherapy use (from 32% pre-RS results to 24% post-RS results).

Conclusion: The Oncotype DX® assay is a tool for individualizing treatments that adds to classic treatment decision factors. The RS result and Ki-67 are not interchangeable, and Ki-67, as well as nodal status, should not be used as gatekeepers for testing eligibility, to avoid under and overtreatment.

Keywords: 21-gene assay; Adjuvant treatment; Breast cancer; Ki-67; Recurrence Score,; Registry.

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Conflict of interest statement

Financial interests: C. Jackisch reports participating in advisory boards for Roche, AstraZeneca, Pfizer, Celgene, Lilly, and Exact Sciences; being a speaker and chairman for educational events for Roche, AstraZeneca, Pfizer, Celgene, Exact Sciences, Lilly, and Pierre-Fabré; and receiving research funding from Novartis, Exact Sciences, and Roche. M. Thill reports participating in advisory boards for Agendia, Amgen, AstraZeneca, Aurikamed, Becton/Dickinson, Biom ‘Up, ClearCut, Clovis, Daiichi Sankyo, Eisai, Exact Sciences, Gilead Science, Grünenthal, GSK, Lilly, MSD, Norgine, Neodynamics, Novartis, Onkowissen, Organon, Pfizer, pfm Medical, Pierre-Fabre, Roche, RTI Surgical, Seagen, Sirius Pintuition, and Sysmex; receiving manuscript support from Amgen, ClearCut, Clovis, pfm medical, Roche, and Servier; receiving travel support from Amgen, Art Tempi, AstraZeneca, Clearcut, Clovis, Connect Medica, Daiichi Sankyo, Eisai, Exact Sciences, Hexal, I-Med-Institute, Lilly, MCI, Medtronic, MSD, Norgine, Novartis, Pfizer, pfm Medical, Roche, RTI Surgical, and Seagen; congress support from Amgen, AstraZeneca, Celgene, Daiichi Sanyko, Hexal, Neodynamics, Novartis, Pfizer, and Roche; lecture honoraria from Amgen, Art Tempi, AstraZeneca, Clovis, Connect Medica, Eisai, Exact Sciences, Gilead Science, Hexal, I-Med-Institute, Jörg Eickeler, Lilly, MCI, Medtronic, MSD, Novartis, Omniamed, Onkowissen, Pfizer, pfm Medical, Roche, RTI Surgical, Seagen, Sysmex, Vifor, and Viatris; and trial funding from Endomag, and Exact Sciences. The remaining authors declare no competing financial or non-financial interests.

Figures

Fig. 1
Fig. 1
Sankey diagram displaying the correlation between Ki-67 determined centrally and locally (n = 562 patients with both local and central testing). The number of patients in each Ki-67 group is shown on both sides of the diagram. Local Ki-67 evaluations ranged from 10 to 40% and used routine grouping by 5% increments
Fig. 2
Fig. 2
Scatter plots displaying the correlation between the RS results and Ki-67 determined centrally (a) or centrally (b). Local Ki-67 evaluations ranged from 10 to 40% per the inclusion threshold for REMAR and used routine grouping by 5% increments. The blue line represents Ki-67 levels of 10%
Fig. 3
Fig. 3
Sankey diagram displaying the absolute changes in 190 patients in treatment recommendations following the disclosure of the RS result for the entire cohort. CET chemoendocrine therapy, ET endocrine therapy, RS recurrence score
Fig. 4
Fig. 4
Sankey diagrams displaying the overall changes in treatment recommendations following the disclosure of the RS result by nodal status (a) and central Ki-67 levels (b). CET chemoendocrine therapy, ET endocrine therapy, RS recurrence score

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References

    1. Carter CL, Allen C, Henson DE (1989) Relation of tumor size, lymph node status, and survival in 24,740 breast cancer cases. Cancer 63(1):181–187 10.1002/1097-0142(19890101)63:1<181::AID-CNCR2820630129>3.0.CO;2-H - DOI - PubMed
    1. Ly A, Lester SC, Dillon D (2012) Prognostic factors for patients with breast cancer: traditional and new. Surg Pathol Clin 5(3):775–785. 10.1016/j.path.2012.06.010 10.1016/j.path.2012.06.010 - DOI - PubMed
    1. McGuire WL, Tandon AK, Allred DC, Chamness GC, Clark GM (1990) How to use prognostic factors in axillary node-negative breast cancer patients. J Natl Cancer Inst 82(12):1006–1015. 10.1093/jnci/82.12.1006 10.1093/jnci/82.12.1006 - DOI - PubMed
    1. Tandon AK, Clark GM, Chamness GC, Chirgwin JM, McGuire WL (1990) Cathepsin D and prognosis in breast cancer. N Engl J Med 322(5):297–302. 10.1056/NEJM199002013220504 10.1056/NEJM199002013220504 - DOI - PubMed
    1. Wong WW, Vijayakumar S, Weichselbaum RR (1992) Prognostic indicators in node-negative early stage breast cancer. Am J Med 92(5):539–548. 10.1016/0002-9343(92)90751-v 10.1016/0002-9343(92)90751-v - DOI - PubMed

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