Frontiers in Oncology (Dec 2022)

Predictive factors for relapse in triple-negative breast cancer patients without pathological complete response after neoadjuvant chemotherapy

  • Angela Toss,
  • Angela Toss,
  • Marta Venturelli,
  • Monica Civallero,
  • Claudia Piombino,
  • Federica Domati,
  • Guido Ficarra,
  • Francesca Combi,
  • Francesca Combi,
  • Eleonora Cabitza,
  • Federica Caggia,
  • Elena Barbieri,
  • Monica Barbolini,
  • Luca Moscetti,
  • Claudia Omarini,
  • Federico Piacentini,
  • Federico Piacentini,
  • Giovanni Tazzioli,
  • Giovanni Tazzioli,
  • Massimo Dominici,
  • Massimo Dominici,
  • Laura Cortesi

DOI
https://doi.org/10.3389/fonc.2022.1016295
Journal volume & issue
Vol. 12

Abstract

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IntroductionTriple-negative breast cancer (TNBC) patients who do not obtain pathological complete response (pCR) after neoadjuvant chemotherapy (NACT) present higher rate of relapse and worse overall survival. Risk factors for relapse in this subset of patients are poorly characterized. This study aimed to identify the predictive factors for relapse in TNBC patients without pCR after NACT.MethodsWomen with TNBC treated with NACT from January 2008 to May 2020 at the Modena Cancer Center were included in the analysis. In patients without pCR, univariate and multivariable Cox analyses were used to determine factors predictive of relapse.ResultsWe identified 142 patients with a median follow-up of 55 months. After NACT, 62 patients obtained pCR (43.9%). Young age at diagnosis (<50 years) and high Ki-67 (20%) were signi!cantly associated with pCR. Lack of pCR after NACT resulted in worse 5-year event-free survival (EFS) and overall survival (OS). Factors independently predicting EFS in patients without pCR were the presence of multifocal disease [hazard ratio (HR), 3.77; 95% CI, 1.45–9.61; p=0.005] and residual cancer burden (RCB) III (HR, 3.04; 95% CI, 1.09–9.9; p=0.04). Neither germline BRCA status nor HER2-low expression were associated with relapse.DiscussionThese data can be used to stratify patients and potentially guide treatment decision-making, identifying appropriate candidates for treatment intensi!cation especially in neo-/adjuvant setting.

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