Back to Search Start Over

Molecular features of untreated breast cancer and initial metastatic event inform clinical decision-making and predict outcome: long-term results of ESOPE, a single-arm prospective multicenter study

Authors :
Céline Callens
Keltouma Driouch
Anaïs Boulai
Zakia Tariq
Aurélie Comte
Frédérique Berger
Lisa Belin
Ivan Bièche
Vincent Servois
Patricia Legoix
Virginie Bernard
Sylvain Baulande
Walid Chemlali
François-Clément Bidard
Virginie Fourchotte
Anne Vincent- Salomon
Etienne Brain
Rosette Lidereau
Thomas Bachelot
Mahasti Saghatchian
Mario Campone
Sylvie Giacchetti
Brigitte Sigal Zafrani
Paul Cottu
Source :
Genome Medicine, Vol 13, Iss 1, Pp 1-15 (2021)
Publication Year :
2021
Publisher :
BMC, 2021.

Abstract

Abstract Background Prognosis evaluation of advanced breast cancer and therapeutic strategy are mostly based on clinical features of advanced disease and molecular profiling of the primary tumor. Very few studies have evaluated the impact of metastatic subtyping during the initial metastatic event in a prospective study. The genomic landscape of metastatic breast cancer has mostly been described in very advanced, pretreated disease, limiting the findings transferability to clinical use. Methods We developed a multicenter, single-arm, prospective clinical trial in order to address these issues. Between November 2010 and September 2013, 123 eligible patients were included. Patients at the first, untreated metastatic event were eligible. All matched primary tumors and metastatic samples were centrally reviewed for pathological typing. Targeted and whole-exome sequencing was applied to matched pairs of frozen tissue. A multivariate overall survival analysis was performed (median follow-up 64 months). Results Per central review in 84 patients (out of 130), we show that luminal A breast tumors are more prone to subtype switching. By combining targeted sequencing of a 91 gene panel (n = 67) and whole-exome sequencing (n = 30), a slight excess of mutations is observed in the metastases. Luminal A breast cancer has the most heterogeneous mutational profile and the highest number of mutational signatures, when comparing primary tumor and the matched metastatic tissue. Tumors with a subtype change have more mutations that are private. The metastasis-specific mutation load is significantly higher in late than in de novo metastases. The most frequently mutated genes were TP53 and PIK3CA. The most frequent metastasis-specific druggable genes were PIK3CA, PTEN, KDR, ALK, CDKN2A, NOTCH4, POLE, SETD2, SF3B1, and TSC2. Long-term outcome is driven by a combination of tumor load and metastasis biology. Conclusions Profiling of the first, untreated, metastatic event of breast cancer reveals a profound heterogeneity mostly in luminal A tumors and in late metastases. Based on this profiling, we can derive information relevant to prognosis and therapeutic intervention, which support current guidelines recommending a biopsy at the first metastatic relapse. Trial registration The trial was registered at ClinicalTrials.gov ( NCT01956552 ).

Details

Language :
English
ISSN :
1756994X
Volume :
13
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Genome Medicine
Publication Type :
Academic Journal
Accession number :
edsdoj.1f3e2cf70f4b9695dd17547b4a898c
Document Type :
article
Full Text :
https://doi.org/10.1186/s13073-021-00862-6