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

Author:

Bernet L1,Hardisson D23,Rodrigo M4,Córdoba A5,Sancho M6,Peg V789,Ruiz I10,Godey F11,Sánchez-Méndez JI123,Prat A13

Affiliation:

1. Department of Pathology, Hospital Universitario del Vinalopó, Elche, Spain

2. Department of Pathology, Hospital Universitario La Paz, Madrid

3. Hospital La Paz Institute for health Research (IdiPAZ), Universidad Autónoma de Madrid

4. Department of Pathology, Hospital Universitario de Burgos, Burgos, Spain

5. Department of Pathology, Hospital Universitario de Navarra, Navarra, Spain

6. Department of Pathology, Hospital Universitario de Salamanca, Salamanca, Spain

7. Department of Pathology, Vall d’Hebron University Hospital, Barcelona, Spain

8. Universidad Autónoma de Barcelona, Barcelona, Spain

9. Spanish Biomedical Research Network Centre in Oncology (CIBERONC), Madrid, Spain

10. Department of Pathology, Hospital Universitario de Donostia, Donostia, Spain

11. Department of Pathology, Centre Eugène Marquis, Rennes, France

12. Department of Ginecology and Obstetrics, Hospital Universitario La Paz, Madrid

13. Medical Oncology department, Hospital Clínic de Barcelona, Barcelona, Spain

Abstract

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.

Publisher

SAGE Publications

Subject

Microbiology (medical),Histology,Pathology and Forensic Medicine

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