RSC4All as a machine learning nomogram to predict RSClin™ results in HR+/HER2- node-negative early breast cancer

RSC4All accurately reproduces RSClin™ predictions and reclassification patterns, providing a freely accessible alternative where RSClin™ is unavailable. By integrating CP and genomic data, it refines risk stratifications and supports adjuvant decisions in N0 HR-positive/HER2-negative eBC. External validation in an independent cohort strengthens its generalizability and clinical applicability.

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Publication Details

Journal
ESMO Open
Published
2025-10-01
DOI
https://doi.org/10.1016/j.esmoop.2025.105830
Primary Topic
Breast Cancer Treatment Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

RSC4All as a machine learning nomogram to predict RSClin™ results in HR+/HER2- node-negative early breast cancer

Monica Fornier, C. Benvenuti, Salvatore D’Amico, Rita De Sanctis et al.
ESMO Open
Breast Cancer Treatment Studies
article

RSC4All as a machine learning nomogram to predict RSClin™ results in HR+/HER2- node-negative early breast cancer

Monica Fornier, C. Benvenuti, Salvatore D’Amico, Rita De Sanctis, Alberto Zambelli, R. Buonaiuto, Federica Martorana, Grazia Arpino, Marika Del Gaudio, Paolo Vigneri, Carlo Tondini, Emanuela Ferraro, Mario Giuliano, Rossana Di Rienzo, Flavia Jacobs, Giuseppe Saltalamacchia, Evandro de Azambuja, Elisa Agostinetto, Riccardo Gerosa, Matteo Giovanni Della Porta, Elena Zazzetti, Armando Santoro, Alessandra Chirco
article en

Abstract

RSC4All accurately reproduces RSClin™ predictions and reclassification patterns, providing a freely accessible alternative where RSClin™ is unavailable. By integrating CP and genomic data, it refines risk stratifications and supports adjuvant decisions in N0 HR-positive/HER2-negative eBC. External validation in an independent cohort strengthens its generalizability and clinical applicability.

ESMO OpenVol. 10(10)
Université Libre de Bruxelles (BE), Memorial Sloan Kettering Cancer Center (US), Humanitas University (IT), Institut Jules Bordet (BE), University of Catania (IT), Ospedale Papa Giovanni XXIII (IT), Istituto Nazionale Tumori IRCCS "Fondazione G. Pascale" (IT), Scuola Superiore Meridionale (IT), IRCCS Humanitas Research Hospital (IT), University of Naples Federico II (IT)
Amgen, Bristol-Myers Squibb, Eli Lilly and Company, Pfizer, AstraZeneca, Sanofi, Gilead Sciences, Celgene, Les Laboratories Pierre Fabre, Myriad Genetics, Incyte, Seagen, Eisai, European Society for Medical Oncology, Servier, Ipsen, Daiichi Sankyo Europe
Openalex Percentile: Top 66%
Breast Cancer Treatment Studies
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