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End-of-neoadjuvant treatment circulating microRNAs and HER2-positive breast cancer patient prognosis: An exploratory analysis from NeoALTTO

  • Serena Di Cosimo
  • , Chiara M. Ciniselli
  • , Sara Pizzamiglio
  • , Vera Cappelletti
  • , Marco Silvestri
  • , Sarra El-Abed
  • , Miguel Izquierdo
  • , Mohammed Bajji
  • , Paolo Nuciforo
  • , Jens Huober
  • , David Cameron
  • , Stephen Chia
  • , Henry L. Gomez
  • , Marilena V. Iorio
  • , Andrea Vingiani
  • , Giancarlo Pruneri
  • , Paolo Verderio
  • Fondazione IRCCS Istituto Nazionale dei Tumori di Milano
  • Breast International Group
  • Novartis International AG
  • Free University of Brussels
  • Vall d'Hebron University Hospital
  • Ulm University
  • University of Leeds
  • University of British Columbia
  • Instituto Nacional de Enfermedades Neoplásicas Eduardo Cáceres Graziani
  • Universidad Ricardo Palma

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

8 Citas (Scopus)

Resumen

Background: The absence of breast cancer cells in surgical specimens, i.e., pathological complete response (pCR), is widely recognized as a favorable prognostic factor after neoadjuvant therapy. In contrast, the presence of disease at surgery characterizes a prognostically heterogeneous group of patients. Here, we challenged circulating microRNAs (miRNAs) at the end of neoadjuvant therapy as potential prognostic biomarkers in the NeoALTTO study. Methods: Patients treated within the trastuzumab arm (i.e., pre-operative weekly trastuzumab for 6 weeks followed by the addition of weekly paclitaxel for 12 weeks; post-operative FEC for 3 cycles followed by trastuzumab up to complete 1 year of treatment) were randomized into a training (n= 54) and testing (n= 72) set. RT-PCR-based high-throughput miRNA profile was performed on plasma samples collected at the end of neoadjuvant treatment of both sets. After normalization, circulating miRNAs associated with event free survival (EFS) were identified by univariate and multivariate Cox regression model. Results: Starting from 23 circulating miRNAs associated with EFS in the training set, we generated a 3-circulating miRNA prognostic signature consisting of miR-185-5p, miR-146a-5p, miR-22-3p, which was confirmed in the testing set. The 3-circulating miRNA signature showed a C-statistic of 0.62 (95% confidence interval [95%CI] 0.53-0.71) in the entire study cohort. By resorting to a multivariate Cox regression model we found a statistical significant interaction between the expression values of miR-194-5p and pCR status (p.interaction =0.005) with an estimate Hazard Ratio (HR) of 1.83 (95%CI 1.14- 2.95) in patients with pCR, and 0.87 (95%CI 0.69-1.10) in those without pCR. Notably, the model including this interaction along with the abovementioned 3-circulating miRNA signature provided the highest discriminatory capability with a C-statistic of 0.67 (95%CI 0.58-0.76). Conclusions: Circulating miRNAs are informative to identify patients with different prognosis among those with heterogeneous response after trastuzumab-based neoadjuvant treatment, and may be an exploitable tool to select candidates for salvage adjuvant therapy.

Idioma originalInglés
Número de artículo1028825
PublicaciónFrontiers in Oncology
Volumen12
DOI
EstadoPublicada - 31 ene. 2023
Publicado de forma externa

ODS de las Naciones Unidas

Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible

  1. ODS 3: Salud y bienestar
    ODS 3: Salud y bienestar

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