ArticleHeliyon2024
Assessing the long-term prognostic ability of the 70 gene expression signature MammaPrint in an Italian single-center prospective cohort study of early-stage intermediate-risk breast cancer patients.
Article in Heliyon, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Purpose: The aim of this study was to assess the prognostic performance of the 70-gene signature, MammaPrint, in an Italian single-center prospective cohort of early-stage intermediate-risk breast cancer (BC) patients. Methods: A total of 195 eligible early BC cases were tested for genomic risk between 2006 and 2013. In this retrospective analysis, the association of genomic risk with distant metastasis-free survival (DMFS) and overall survival (OS) were assessed using Cox regression models, adjusting for clinical and pathological tumor characteristics. Results: MammaPrint identified 118 (60.5 %) patients with genomically Low Risk tumors and 77 (39.5 %) patients with genomically High Risk tumors. Age, menopausal status, tumor size, receptor status, and nodal status were comparable between MammaPrint Risk categories. The median follow-up was 8.4 years for DMFS and 9.3 years for OS; 8-year follow-up was reported for both endpoints. The 8-year DMFS was 90.4 % (95 % CI 84.9-95.9) in patients with MammaPrint Low Risk tumors compared to 60.8 % (95 % CI 49.8-71.8) for patients with High Risk tumors. Patients with MammaPrint Low Risk tumors exhibited significantly superior 8-year OS (97.3 %; 95 % CI 94.4-100) compared with MammaPrint High Risk tumors (89.5 %; 95 % CI 82.6-96.4; p = 0.028). Multivariate analyses identified MammaPrint as significantly associated with 8-year DMFS and MammaPrint together with Progesterone Receptor positivity with 8-year OS. Conclusion: The prognostic performance of MammaPrint was demonstrated in early-stage clinically intermediate to high-risk BC patients. Moreover, patients with MammaPrint Low Risk tumors had good outcome regardless of treatment regimen, thus supporting personalized treatment choices.
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