Evidence map›Paper›PMID 34012782›Full record

ArticleTranslational lung cancer research2021

EPAC-lung: European pooled analysis of the prognostic value of circulating tumour cells in small cell lung cancer.

Victoria Foy, Colin R Lindsay, Alexandra Carmel, Fabiola Fernandez-Gutierrez, Matthew G Krebs, Lynsey Priest, Mathew Carter, Harry J M Groen, T Jeroen N Hiltermann, Antonella de Luca and 12 more

Abstract read
In one paragraph

Article in Translational lung cancer research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Clinical application of circulating tumor cells.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2023
    Article
  8. Article
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

22 authors.

Victoria FoyCancer Research UK Manchester Institute Cancer Biomarker Centre, Cancer Research UK Manchester Institute, University of Manchester, Manchester, UK.
Colin R LindsayDepartment of Medical Oncology, The Christie NHS Foundation Trust, Wilmslow Road, Manchester, M20 4BX, UK.
Alexandra CarmelService de Biostatistique et d'Épidémiologie, Gustave Roussy, Université Paris-Saclay, Villejuif, France.
Fabiola Fernandez-GutierrezCancer Research UK Manchester Institute Cancer Biomarker Centre, Cancer Research UK Manchester Institute, University of Manchester, Manchester, UK.
Matthew G KrebsDepartment of Medical Oncology, The Christie NHS Foundation Trust, Wilmslow Road, Manchester, M20 4BX, UK.
Lynsey PriestCancer Research UK Manchester Institute Cancer Biomarker Centre, Cancer Research UK Manchester Institute, University of Manchester, Manchester, UK.
Mathew CarterCancer Research UK Manchester Institute Cancer Biomarker Centre, Cancer Research UK Manchester Institute, University of Manchester, Manchester, UK.
Harry J M GroenDepartment of Pulmonary Diseases, University of Groningen and University Medical Center Groningen, Groningen, The Netherlands.
T Jeroen N HiltermannDepartment of Pulmonary Diseases, University of Groningen and University Medical Center Groningen, Groningen, The Netherlands.
Antonella de LucaCell Biology and Biotherapy Unit, Istituto Nazionale Tumori-IRCCS-Fondazione G. Pascale, Napoli, Italy.
Francoise FaraceINSERM, U981 "Predictive Biomarkers and New Therapeutics in Oncology", F-94805, Villejuif, France.
Benjamin BesseDepartment of Cancer Medicine, Gustave Roussy Cancer Campus, Villejuif, France; Paris-Sud University, Orsay, France.
Leon TerstappenDepartment of Medical Cell BioPhysics, University of Twente, Enschede, The Netherlands.
Elisabetta RossiDepartment of Surgery, Oncology and Gastroenterology, Oncology Section, University of Padova, Padova, Italy.
Alessandro MorabitoThoracic Medical Oncology, Istituto Nazionale Tumori-IRCCS-Fondazione G. Pascale, Napoli, Italy.
Francesco PerroneClinical Trials Unit, Istituto Nazionale Tumori-IRCCS-Fondazione G. Pascale, Napoli, Italy.
Andrew RenehanDivision of Molecular and Clinical Cancer Sciences, University of Manchester, Manchester, UK.
Corinne Faivre-FinnDivision of Molecular and Clinical Cancer Sciences, University of Manchester, Manchester, UK.
Nicola NormannoCell Biology and Biotherapy Unit, Istituto Nazionale Tumori-IRCCS-Fondazione G. Pascale, Napoli, Italy.
Caroline DiveCancer Research UK Manchester Institute Cancer Biomarker Centre, Cancer Research UK Manchester Institute, University of Manchester, Manchester, UK.
Fiona BlackhallDepartment of Medical Oncology, The Christie NHS Foundation Trust, Wilmslow Road, Manchester, M20 4BX, UK.
Stefan MichielsService de Biostatistique et d'Épidémiologie, Gustave Roussy, Université Paris-Saclay, Villejuif, France.

Funding

Cancer Research UK 19278
6 · The paper itself

Abstract

backgroundCirculating tumour cell (CTC) number is an independent prognostic factor in patients with small cell lung cancer (SCLC) but there is no consensus on the CTC threshold for prognostic significance. We undertook a pooled analysis of individual patient data to clinically validate CTC enumeration and threshold for prognostication.

methodsFour European cancer centres, experienced in CellSearch CTC enumeration for SCLC provided pseudo anonymised data for patients who had undergone pre-treatment CTC count. Data was collated, and Cox regression models, stratified by centre, explored the relationship between CTC count and survival. The added value of incorporating CTCs into clinico-pathological models was investigated using likelihood ratio tests.

resultsA total of 367 patient records were evaluated. A one-unit increase in log-transformed CTC counts corresponded to an estimated hazard ratio (HR) of 1.24 (95% CI: 1.19-1.29, P<0.0001) for progression free survival (PFS) and 1.23 (95% CI: 1.18-1.28, P<0.0001) for overall survival (OS). CTC count of ≥15 or ≥50 was significantly associated with an increased risk of progression (CTC ≥15: HR 3.20, 95% CI: 2.50-4.09, P<0.001; CTC ≥50: HR 2.56, 95% CI: 2.01-3.25, P<0.001) and an increased risk of death (CTC ≥15: HR 2.90, 95% CI: 2.28-3.70, P<0.001; CTC ≥50: HR 2.47, 95% CI: 1.95-3.13, P<0.001). There was no significant inter-centre heterogeneity observed. Addition of CTC count to clinico-pathological models as a continuous log-transformed variable, offers further prognostic value (both likelihood ratio P<0.001 for OS and PFS).

conclusionsHigher pre-treatment CTC counts are a negative independent prognostic factor in SCLC when considered as a continuous variable or dichotomised counts of ≥15 or ≥50. Incorporating CTC counts, as a continuous variable, improves clinic-pathological prognostic models.

Indexed as

biomarkercirculating tumour cells (CTCs)liquid biopsiesmeta-analysisprognostic modelsSmall cell lung cancer (SCLC)

Identifiers

PMID34012782
PMCPMC8107738

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.