
The TRAR gene classifier to predict response to neoadjuvant therapy in HER2‐positive and ER‐positive breast cancer patients: an explorative analysis from the NeoSphere trial
Author(s) -
Triulzi Tiziana,
Bianchini Giampaolo,
Di Cosimo Serena,
Pienkowski Tadeusz,
Im YoungHyuck,
Bianchi Giulia Valeria,
Galbardi Barbara,
Dugo Matteo,
De Cecco Loris,
Tseng LingMing,
Liu MeiChing,
Bermejo Begoña,
Semiglazov Vladimir,
Viale Giulia,
HabaRodriguez Juan,
Oh DoYoun,
Poirier Brigitte,
Valagussa Pinuccia,
Gianni Luca,
Tagliabue Elda
Publication year - 2022
Publication title -
molecular oncology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.332
H-Index - 88
eISSN - 1878-0261
pISSN - 1574-7891
DOI - 10.1002/1878-0261.13141
Subject(s) - medicine , oncology , breast cancer , neoadjuvant therapy , complete response , estrogen receptor , chemotherapy , cancer
As most erb‐b2 receptor tyrosine kinase 2 (HER2)‐positive breast cancer (BC) patients currently receive dual HER2‐targeting added to neoadjuvant chemotherapy, improved methods for identifying individual response, and assisting postsurgical salvage therapy, are needed. Herein, we evaluated the 41‐gene classifier trastuzumab advantage risk model (TRAR) as a predictive marker for patients enrolled in the NeoSphere trial. TRAR scores were computed from RNA of 350 pre‐ and 166 post‐treatment tumor specimens. Overall, TRAR score was significantly associated with pathological complete response (pCR) rate independently of other predictive clinico‐pathological variables. Separate analyses according to estrogen receptor (ER) status showed a significant association between TRAR score and pCR in ER‐positive specimens but not in ER‐negative counterparts. Among ER‐positive BC patients not achieving a pCR, those with TRAR‐low scores in surgical specimens showed a trend for lower distant event‐free survival. In conclusion, in HER2‐positive/ER‐positive BC, TRAR is an independent predictor of pCR and represents a promising tool to select patients responsive to anti‐HER2‐based neoadjuvant therapy and to assist treatment escalation and de‐escalation strategies in this setting.