OSNA Total Tumor Load for the Prediction of Axillary Involvement in Breast Cancer Patients: Should We use Different Thresholds According to the Intrinsic Molecular Subtype? MOTTO Study

Other authors

Institut Català de la Salut

[Bernet L] Department of Pathology, Hospital Universitario del Vinalopó, Elche, Spain. [Hardisson D] Department of Pathology, Hospital Universitario La Paz, Madrid. Hospital La Paz Institute for health Research (IdiPAZ), Universidad Autónoma de Madrid. [Rodrigo M] Department of Pathology, Hospital Universitario de Burgos, Burgos, Spain. [Córdoba A] Department of Pathology, Hospital Universitario de Navarra, Navarra, Spain. [Sancho M] Department of Pathology, Hospital Universitario de Salamanca, Salamanca, Spain. [Peg V] Servei d’Anatomia Patològica, Vall d’Hebron Hospital Universitari, Barcelona, Spain. Universitat Autònoma de Barcelona, Bellaterra, Spain. Spanish Biomedical Research Network Centre in Oncology (CIBERONC), Madrid, Spain

Vall d'Hebron Barcelona Hospital Campus

Publication date

2023-08-30T11:37:54Z

2023-08-30T11:37:54Z

2023-07-31



Abstract

Breast cancer; Molecular subtype; Total tumor load


Cáncer de mama; Subtipo molecular; Carga tumoral total


Càncer de mama; Subtipus molecular; Càrrega tumoral total


Aims: To assess the impact of the molecular subtype (MS) on the total number of CK19 mRNA copies in all positive SLN (TTL) threshold, to predict non-SLN affectation, and to compare 5 years progression-free survival (PFS) according to the risk of recurrence (ROR) group by PAM50. Methods: Cohort with infiltrating breast cancer with intra-operative metastatic SLN detected by one-step nucleic acid amplification (OSNA) assay who underwent subsequent ALND. Logistic regression was used to assess a possible interaction between TTL and MS(Triple Negative, Her-2-Enriched, Luminal A, or Luminal B), or hormone receptors (HR: positive or negative) by immunohistochemistry (IMH). Cox regression was used to compare PFS and OS in the 3 ROR groups (high, medium, or low). Results: TTL was predictive of non-SLN affectation in both univariate (OR [95% CI]: 1.72 [1.43, 2.05], P < .001) and multivariate (1.55 [95% CI: 1.04, 2.32], P = .030) models, but MS-IMH or HR-IMH, and their interactions with TTL were not (best multivariate model: HR + main effect OR 1.16 [95% CI: 0.18, 7.64], P = .874; interaction OR: 1.04 [0.7, 1.55], P = .835; univariate model: HR + main effect OR: 1.44 [95% CI: 0.85, 2.44], P = .180). PFS was lower in the high-risk ROR group (81.1%) than in the low-risk group (93.9%) (HR: 3.68 [95 CI: 1.70, 7.94], P < .001). Conclusions: our results do not provide evidence to support the utilization of subtype-specific thresholds for TTL values to make therapeutic decisions on the axilla. The ROR group was predictive of 5 years-PFS.


This study was funded by Sysmex España, S.L.

Document Type

Article


Published version

Language

English

Publisher

SAGE Publications

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Attribution-NonCommercial 4.0 International

http://creativecommons.org/licenses/by-nc/4.0/

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