Ultrasensitive circulating tumor DNA (ctDNA) detection for prognostication in triple-negative breast cancer (TNBC) post-neoadjuvant chemotherapy (NAC).
Abstract
552 Background: NAC +/- immune checkpoint inhibitors is the standard of care for most early-stage TNBC patients. After NAC and breast surgery, adjuvant treatment decisions rely on pathological complete response (pCR) status, which does not inform on the presence of distant micrometastases. Blood-based assays for ctDNA enable non-invasive monitoring of residual disease levels at sensitivities down to 1 part-per-million (PPM). We report the prognostic value of ultrasensitive ctDNA detection during NAC in patients with TNBC. Methods: Early-stage TNBC patients treated with NAC in the SCANDARE prospective study were evaluated for ctDNA before, during, after NAC/pre-surgery and during post-surgical follow-up. Plasma ctDNA was profiled using NeXT Personal (Personalis), an ultrasensitive tumor-informed MRD assay that tracks up to 1,800 patient tumor-specific variants based on whole genome sequencing to attain sensitivity down to 1-3 PPM with >99.9% specificity. Results: Plasma ctDNA was analyzed for 279 samples from 84 TNBC patients (Stage I: 2%, II: 77%, III: 20%), of whom 35 (42%) achieved pCR after NAC. After a median follow-up of 53 months, 16 patients (19%) developed distant metastases, and 18 patients (21%) died. ctDNA was detected before NAC in all 82 patients with an available sample (median=3461 PPM, IQR: 1168-22078), with pretreatment levels in the ultrasensitive range (<100 PPM) in 12%. Most ctDNA detections during (51%) and post-NAC (55%) were <100 PPM. Patients with rates of early on-treatment ctDNA reduction faster than the median, or clearance, had significantly improved distant relapse-free interval (DRFI, log-rank P=7.7x10 -3 ) and overall survival (OS, log-rank P=7.9x10 -3 ). Patients with post-NAC, pre-surgery ctDNA clearance had significantly improved DRFI (log-rank P=3.5x10 -7 ) and OS (log-rank P=1.4x10 -11 ), and were enriched for pCR (59% vs 9%, OR=13.9, 95% CI [2.8,137.2], Fisher’s exact P=1.4x10 -4 ). Multivariable Cox models including pCR and ctDNA detection post-NAC, pre-surgery performed significantly better than models including only pCR for predicting DRFI (LRT P=8.0x10 -4 ) and OS (LRT P=6.6x10 -4 ). ctDNA detection significantly stratified survival outcomes among patients without pCR (DRFI HR=8.2, 95% CI [1.8,37.0], Cox P=6x10 -3 ), with 60% of ctDNA-positive patients developing distant metastases vs 10% of ctDNA-negative patients. During follow-up, all plasma samples from non-relapsing patients were ctDNA-negative. In relapsed patients, ctDNA was detected in 95% of samples collected at relapse or tumor progression. Conclusions: Ultrasensitive ctDNA detection informs on the outcome of early TNBC treated by NAC, independently of pCR status. These results, obtained with samples taken post-NAC but before-surgery warrant investigating the benefit of implementing ctDNA detection in an interventional setting.
Article Details
Journal Info
Journal of Clinical Oncology
Lippincott Williams & Wilkins
Authors (19)
Luc Cabel
Constance Lamy
Department of Drug Development and Innovation (D3i), Institut Curie, Paris-Saclay University, Paris, France
Kathleen Keough
Personalis, Inc., Menlo Park, CA
Charles Abbott
Personalis, Inc., Fremont, CA
Nicolas Pouget
Institut Curie, St Cloud, France
Jean-Yves Pierga
Marie Paule Sablin
Institut Curie, Paris, France
Julie Flavius
Department of Drug Development and Innovation (D3i), Institut Curie, Paris-Saclay University, Paris, France
Thierry Bronzini
Institut Curie, Paris, France
Enora Laas
Lauren Darrigues
Jean Guillaume Feron
Institut Curie, Paris, France
Virginie Fourchotte
Institut Curie, Paris, France
Claire Bonneau
Department of Surgical Oncology, Institut Curie - Saint-Cloud, University of Versailles Saint-Quentin en Yvelines, INSERM U1331, Institut des Cancers de la Femme, Saint-Cloud, France and GINECO, Paris and St Cloud, France
Anne Vincent-Salomon
Sean Michael Boyle
Personalis, Inc., Fremont, CA
Richard Chen
Unibersity of Michigan, Ann Arbor, Michigan, United States
Christophe Le Tourneau
Institut Curie, Paris
François Clément Bidard