Circulating tumour cells as a potential biomarker for lung cancer screening: a prospective cohort study.
Journal
The Lancet. Respiratory medicine
ISSN: 2213-2619
Titre abrégé: Lancet Respir Med
Pays: England
ID NLM: 101605555
Informations de publication
Date de publication:
07 2020
07 2020
Historique:
received:
05
12
2019
revised:
11
02
2020
accepted:
12
02
2020
pubmed:
11
7
2020
medline:
15
8
2020
entrez:
11
7
2020
Statut:
ppublish
Résumé
Lung cancer screening with low-dose chest CT (LDCT) reduces the mortality of eligible individuals. Blood signatures might act as a standalone screening tool, refine the selection of patients at risk, or help to classify undetermined nodules detected on LDCT. We previously showed that circulating tumour cells (CTCs) could be detected, using the isolation by size of epithelial tumour cell technique (ISET), long before the cancer was diagnosed radiologically. We aimed to test whether CTCs could be used as a biomarker for lung cancer screening. We did a prospective, multicentre, cohort study in 21 French university centres. Participants had to be eligible for lung cancer screening as per National Lung Screening Trial criteria and have chronic obstructive pulmonary disease with a fixed airflow limitation defined as post-bronchodilator FEV1/FVC ratio of less than 0·7. Any cancer, other than basocellular skin carcinomas, detected within the previous 5 years was the main exclusion criterion. Participants had three screening rounds at 1-year intervals (T0 [baseline], T1, and T2), which involved LDCT, clinical examination, and a blood test for CTCs detection. Participants and investigators were masked to the results of CTC detection, and cytopathologists were masked to clinical and radiological findings. Our primary objective was to test the diagnostic performance of CTC detection using the ISET technique in lung cancer screening, compared with cancers diagnosed by final pathology, or follow up if pathology was unavailable as the gold standard. This study is registered with ClinicalTrials.gov identifier, number NCT02500693. Between Oct 30, 2015, and Feb 2, 2017, we enrolled 614 participants, predominantly men (437 [71%]), aged 65·1 years (SD 6·5), and heavy smokers (52·7 pack-years [SD 21·5]). 81 (13%) participants dropped out between baseline and T1, and 56 (11%) did between T1 and T2. Nodules were detected on 178 (29%) of 614 baseline LDCTs. 19 participants (3%) were diagnosed with a prevalent lung cancer at T0 and 19 were diagnosed with incident lung cancer (15 (3%) of 533 at T1 and four (1%) of 477 at T2). Extrapulmonary cancers were diagnosed in 27 (4%) of participants. Overall 28 (2%) of 1187 blood samples were not analysable. At baseline, the sensitivity of CTC detection for lung cancer detection was 26·3% (95% CI 11·8-48·8). ISET was unable to predict lung cancer or extrapulmonary cancer development. CTC detection using ISET is not suitable for lung cancer screening. French Government, Conseil Départemental 06, Fondation UNICE, Fondation Aveni, Fondation de France, Ligue Contre le Cancer-Comité des Alpes-Maritimes, ARC (Canc'Air Genexposomics), Claire de Divonne-Pollner, Enca Faidhi, Basil Faidhi, Fabienne Mourou, Michel Mourou, Leonid Fridlyand, cogs4cancer, and the Fondation Masikini.
Sections du résumé
BACKGROUND
Lung cancer screening with low-dose chest CT (LDCT) reduces the mortality of eligible individuals. Blood signatures might act as a standalone screening tool, refine the selection of patients at risk, or help to classify undetermined nodules detected on LDCT. We previously showed that circulating tumour cells (CTCs) could be detected, using the isolation by size of epithelial tumour cell technique (ISET), long before the cancer was diagnosed radiologically. We aimed to test whether CTCs could be used as a biomarker for lung cancer screening.
METHODS
We did a prospective, multicentre, cohort study in 21 French university centres. Participants had to be eligible for lung cancer screening as per National Lung Screening Trial criteria and have chronic obstructive pulmonary disease with a fixed airflow limitation defined as post-bronchodilator FEV1/FVC ratio of less than 0·7. Any cancer, other than basocellular skin carcinomas, detected within the previous 5 years was the main exclusion criterion. Participants had three screening rounds at 1-year intervals (T0 [baseline], T1, and T2), which involved LDCT, clinical examination, and a blood test for CTCs detection. Participants and investigators were masked to the results of CTC detection, and cytopathologists were masked to clinical and radiological findings. Our primary objective was to test the diagnostic performance of CTC detection using the ISET technique in lung cancer screening, compared with cancers diagnosed by final pathology, or follow up if pathology was unavailable as the gold standard. This study is registered with ClinicalTrials.gov identifier, number NCT02500693.
FINDINGS
Between Oct 30, 2015, and Feb 2, 2017, we enrolled 614 participants, predominantly men (437 [71%]), aged 65·1 years (SD 6·5), and heavy smokers (52·7 pack-years [SD 21·5]). 81 (13%) participants dropped out between baseline and T1, and 56 (11%) did between T1 and T2. Nodules were detected on 178 (29%) of 614 baseline LDCTs. 19 participants (3%) were diagnosed with a prevalent lung cancer at T0 and 19 were diagnosed with incident lung cancer (15 (3%) of 533 at T1 and four (1%) of 477 at T2). Extrapulmonary cancers were diagnosed in 27 (4%) of participants. Overall 28 (2%) of 1187 blood samples were not analysable. At baseline, the sensitivity of CTC detection for lung cancer detection was 26·3% (95% CI 11·8-48·8). ISET was unable to predict lung cancer or extrapulmonary cancer development.
INTERPRETATION
CTC detection using ISET is not suitable for lung cancer screening.
FUNDING
French Government, Conseil Départemental 06, Fondation UNICE, Fondation Aveni, Fondation de France, Ligue Contre le Cancer-Comité des Alpes-Maritimes, ARC (Canc'Air Genexposomics), Claire de Divonne-Pollner, Enca Faidhi, Basil Faidhi, Fabienne Mourou, Michel Mourou, Leonid Fridlyand, cogs4cancer, and the Fondation Masikini.
Identifiants
pubmed: 32649919
pii: S2213-2600(20)30081-3
doi: 10.1016/S2213-2600(20)30081-3
pii:
doi:
Substances chimiques
Biomarkers
0
Banques de données
ClinicalTrials.gov
['NCT02500693']
Types de publication
Journal Article
Multicenter Study
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
709-716Investigateurs
Charles-Hugo Marquette
(CH)
Jacques Boutros
(J)
Jonathan Benzaquen
(J)
Marion Ferreira
(M)
Jean Pastre
(J)
Christophe Pison
(C)
Bernard Padovani
(B)
Faiza Bettayeb
(F)
Vincent Fallet
(V)
Nicolas Guibert
(N)
Damien Basille
(D)
Marius Ilie
(M)
Véronique Hofman
(V)
Paul Hofman
(P)
Dominique Israel-Biet
(D)
François Chabot
(F)
Anne Guillaumot
(A)
Gaetan Deslee
(G)
Jeanne-Marie Perotin
(JM)
Sandra Dury
(S)
Hervé Mal
(H)
Armelle Marceau
(A)
Romain Kessler
(R)
Jean-Michel Vergnon
(JM)
Carole Pelissier
(C)
Fabrice Di Palma
(F)
Antoine Cuvelier
(A)
Maxime Patout
(M)
Arnaud Bourdin
(A)
Anne Sophie Gamez
(AS)
Claire Andrejak
(C)
Claire Poulet
(C)
Géraldine Francois
(G)
Vincent Jounieaux
(V)
Nicolas Roche
(N)
Stéphane Jouneau
(S)
Graziella Brinchault
(G)
Philippe Bonniaud
(P)
Ayoub Zouak
(A)
Arnaud Scherpereel
(A)
Simon Baldacci
(S)
Alexis Cortot
(A)
Jean François Mornex
(JF)
François Steenhouwer
(F)
Sylvie Leroy
(S)
Jean-Philippe Berthet
(JP)
Eric Fontas
(E)
Julie Bulsei
(J)
Coralie Cruzel
(C)
Johanna Pradelli
(J)
Maureen Fontaine
(M)
Charlotte Maniel
(C)
Jennifer Griffonnet
(J)
Catherine Butori
(C)
Eric Selva
(E)
Michel Poudenx
(M)
Bernard AguilanIu
(B)
Gilbert Ferretti
(G)
François Arbib
(F)
Amandine Briault
(A)
Anne-Claire Toffart
(AC)
Raissa Dahalani
(R)
Marie Destors
(M)
Pascal Chanez
(P)
Laurent Greillier
(L)
Philippe Astoul
(P)
Fabrice Barlesi
(F)
Jean-Yves Gaubert
(JY)
Julien Mazières
(J)
Sylvain Marchand-Adam
(S)
Jacques Cadranel
(J)
Nouha Chaabane
(N)
Armine Izadifar
(A)
Lise Rosencher
(L)
Anne-Marie Ruppert
(AM)
Thibault Vieira
(T)
Nathalie Mathiot
(N)
Commentaires et corrections
Type : CommentIn
Type : ErratumIn
Informations de copyright
Copyright © 2020 Elsevier Ltd. All rights reserved.