Evidence map›Paper›PMID 37973956›Full record

ArticleBritish journal of cancer2024

Circulating tumour cells and PD-L1-positive small extracellular vesicles: the liquid biopsy combination for prognostic information in patients with metastatic non-small cell lung cancer.

Zahra Eslami-S, Luis Enrique Cortés-Hernández, Léa Sinoquet, Ludovic Gauthier, Valentin Vautrot, Laure Cayrefourcq, Laure Avoscan, William Jacot, Stéphane Pouderoux, Marie Viala and 5 more

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in British journal of cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02866149 (Analysis of Circulating Tumor Markers in the Blood), which is not on this map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
9.3field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT02866149 nacompletednot on this map

Analysis of Circulating Tumor Markers in the Blood

TypeinterventionalSponsorInstitut CurieRan2015 to 2024Enrolled682ConditionsCancerArmsBlood sampling, Tumor sampling, Stool sampling
3 · Its place in the literature

Who cites it

35 citing papers in PubMed, 39 citations in OpenAlex.

  1. Towards liquid biopsy-based analysis of antitumour immunity.Nature reviews. Clinical oncology · 2026
    Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Deep learning radiomics andTranslational lung cancer research · 2025
    Article
  15. Review
  16. Review
  17. Review
  18. Article
  19. Review
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

15 authors at 4 institutions in 1 country.

Zahra Eslami-SLaboratory of Rare Circulating Human Cells - University Medical Center of Montpellier, Montpellier, France.ORCID 0000-0002-3489-2479
Luis Enrique Cortés-HernándezLaboratory of Rare Circulating Human Cells - University Medical Center of Montpellier, Montpellier, France.
Léa SinoquetDepartment of Medical Oncology, Institut du Cancer de Montpellier, Montpellier University, Montpellier, France.
Ludovic GauthierBiometrics Unit, Institut du Cancer de Montpellier, Montpellier University, Montpellier, France.
Valentin VautrotINSERM 1231, Label "Ligue National contre le Cancer "and Label d'Excellence LipSTIC, Dijon, France.
Laure CayrefourcqLaboratory of Rare Circulating Human Cells - University Medical Center of Montpellier, Montpellier, France.
Laure AvoscanAgroécologie, Institut Agro Dijon, CNRS, INRAE, University Bourgogne Franche-Comté, Plateforme DImaCell, F-21000, Dijon, France.
William JacotDepartment of Medical Oncology, Institut du Cancer de Montpellier, Montpellier University, Montpellier, France.ORCID 0000-0001-7834-061X
Stéphane PouderouxDepartment of Medical Oncology, Institut du Cancer de Montpellier, Montpellier University, Montpellier, France.
Marie VialaDepartment of Medical Oncology, Institut du Cancer de Montpellier, Montpellier University, Montpellier, France.
Quentin Dominique ThomasDepartment of Medical Oncology, Institut du Cancer de Montpellier, Montpellier University, Montpellier, France.
Pierre-Jean LamyBiopathologie et Génétique des Cancers, Institute d'Analyse Médicale Imagenome, Inovie, Montpellier, France.ORCID 0000-0002-5750-159X
Xavier QuantinDepartment of Medical Oncology, Institut du Cancer de Montpellier, Montpellier University, Montpellier, France.
Jessica Gobbo *INSERM 1231, Label "Ligue National contre le Cancer "and Label d'Excellence LipSTIC, Dijon, France.
Catherine Alix-Panabières *Laboratory of Rare Circulating Human Cells - University Medical Center of Montpellier, Montpellier, France. c-panabieres@chu-montpellier.fr.ORCID 0000-0002-6401-2903
Centre National de la Recherche Scientifique · FRInserm · FRUniversité de Montpellier · FRClinique du Millénaire · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCirculating tumour cells (CTCs), circulating tumour DNA (ctDNA), and extracellular vesicles (EVs) are minimally invasive liquid biopsy biomarkers. This study investigated whether they predict prognosis, alone or in combination, in heterogenous unbiased non-small cell lung cancer (NSCLC) patients.

methodsPlasma samples of 54 advanced NSCLC patients from a prospective clinical trial. CtDNA mutations were identified using the UltraSEEK™ Lung Panel (MassARRAY® technology). PD-L1 expression was assessed in small EVs (sEVs) using an enzyme-linked immunosorbent assay.

resultsAt least one ctDNA mutation was detected in 37% of patients. Mutations were not correlated with overall survival (OS) (HR = 1.1, 95% CI = 0.55; 1.83, P = 0.980) and progression-free survival (PFS) (HR = 1.00, 95% CI = 0.57-1.76, P = 0.991). High PD-L1

conclusionCTCs and high PD-L1

trial registrationNCT02866149, Registered 01 June 2015, https://clinicaltrials.gov/ct2/show/study/NCT02866149 .

Indexed as

Carcinoma, Non-Small-Cell LungExtracellular VesiclesLung NeoplasmsNeoplastic Cells, CirculatingB7-H1 AntigenBiomarkers, TumorHumansLiquid BiopsyPrognosisProspective StudiesB7-H1 AntigenBiomarkers, Tumor

Identifiers

PMID37973956
PMCPMC10781977
OpenAlexW4388735076

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.