Circulating tumor DNA and radiological tumor volume identify patients at risk for relapse with resected, early-stage non-small cell lung cancer.

MRD ctDNA early-stage NSCLC liquid biopsy tumor volume

Journal

Annals of oncology : official journal of the European Society for Medical Oncology
ISSN: 1569-8041
Titre abrégé: Ann Oncol
Pays: England
ID NLM: 9007735

Informations de publication

Date de publication:
20 Nov 2023
Historique:
received: 08 09 2023
revised: 01 11 2023
accepted: 15 11 2023
medline: 23 11 2023
pubmed: 23 11 2023
entrez: 22 11 2023
Statut: aheadofprint

Résumé

Predicting relapse and overall survival in early-stage non-small cell lung cancer (NSCLC) patients remains challenging. Therefore, we hypothesized that detection of circulating tumor DNA (ctDNA) can identify patients with increased risk of relapse and that integrating radiological tumor volume measurement along with ctDNA detectability improves prediction of outcome. We analyzed 366 serial plasma samples from 85 patients who underwent surgical resections and assessed ctDNA using a next-generation sequencing liquid biopsy assay, and measured tumor volume using CT-based 3-dimensional annotation. Our results showed that patients with detectable ctDNA at baseline or after treatment and patients who did not clear ctDNA after treatment had a significantly worse clinical outcome. Integrating radiological analysis allowed the stratification in risk groups prognostic of clinical outcome as confirmed in an independent cohort of 32 patients. Our findings suggest ctDNA and radiological monitoring could be valuable tools for guiding follow-up care and treatment decisions for early-stage NSCLC patients.

Sections du résumé

BACKGROUND BACKGROUND
Predicting relapse and overall survival in early-stage non-small cell lung cancer (NSCLC) patients remains challenging. Therefore, we hypothesized that detection of circulating tumor DNA (ctDNA) can identify patients with increased risk of relapse and that integrating radiological tumor volume measurement along with ctDNA detectability improves prediction of outcome.
PATIENTS AND METHOD METHODS
We analyzed 366 serial plasma samples from 85 patients who underwent surgical resections and assessed ctDNA using a next-generation sequencing liquid biopsy assay, and measured tumor volume using CT-based 3-dimensional annotation.
RESULTS RESULTS
Our results showed that patients with detectable ctDNA at baseline or after treatment and patients who did not clear ctDNA after treatment had a significantly worse clinical outcome. Integrating radiological analysis allowed the stratification in risk groups prognostic of clinical outcome as confirmed in an independent cohort of 32 patients.
CONCLUSIONS CONCLUSIONS
Our findings suggest ctDNA and radiological monitoring could be valuable tools for guiding follow-up care and treatment decisions for early-stage NSCLC patients.

Identifiants

pubmed: 37992871
pii: S0923-7534(23)05072-X
doi: 10.1016/j.annonc.2023.11.008
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2023 The Author(s). Published by Elsevier Ltd.. All rights reserved.

Auteurs

H T Tran (HT)

Department of Thoracic Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.

S Heeke (S)

Department of Thoracic Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.

S Sujit (S)

Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.

N Vokes (N)

Department of Thoracic Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.

J Zhang (J)

Department of Thoracic Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.

M Aminu (M)

Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.

V K Lam (VK)

Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins, Baltimore USA.

A Vaporciyan (A)

Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.

S G Swisher (SG)

Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.

M C B Godoy (MCB)

Department of Thoracic Imaging, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.

T Cascone (T)

Department of Thoracic Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.

B Sepesi (B)

Department of Thoracic Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.

D L Gibbons (DL)

Department of Thoracic Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.

J Wu (J)

Department of Thoracic Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA; Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.

J V Heymach (JV)

Department of Thoracic Head & Neck Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA. Electronic address: jheymach@mdanderson.org.

Classifications MeSH