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EPAC-lung: European pooled analysis of the prognostic value of circulating tumour cells in small cell lung cancer.
Foy, Victoria; Lindsay, Colin R; Carmel, Alexandra; Fernandez-Gutierrez, Fabiola; Krebs, Matthew G; Priest, Lynsey; Carter, Mathew; Groen, Harry J M; Hiltermann, T Jeroen N; de Luca, Antonella; Farace, Francoise; Besse, Benjamin; Terstappen, Leon; Rossi, Elisabetta; Morabito, Alessandro; Perrone, Francesco; Renehan, Andrew; Faivre-Finn, Corinne; Normanno, Nicola; Dive, Caroline; Blackhall, Fiona; Michiels, Stefan.
Afiliação
  • Foy V; Cancer Research UK Manchester Institute Cancer Biomarker Centre, Cancer Research UK Manchester Institute, University of Manchester, Manchester, UK.
  • Lindsay CR; Department of Medical Oncology, The Christie NHS Foundation Trust, Wilmslow Road, Manchester, M20 4BX, UK.
  • Carmel A; Department of Medical Oncology, The Christie NHS Foundation Trust, Wilmslow Road, Manchester, M20 4BX, UK.
  • Fernandez-Gutierrez F; Division of Molecular and Clinical Cancer Sciences, University of Manchester, Manchester, UK.
  • Krebs MG; Cancer Research UK Lung Cancer Centre of Excellence, Manchester, UK.
  • Priest L; Service de Biostatistique et d'Épidémiologie, Gustave Roussy, Université Paris-Saclay, Villejuif, France.
  • Carter M; INSERM U1018 OncoStat, CESP, Université Paris-Sud, Université Paris-Saclay, labeled by Ligue Contre le Cancer, France.
  • Groen HJM; Cancer Research UK Manchester Institute Cancer Biomarker Centre, Cancer Research UK Manchester Institute, University of Manchester, Manchester, UK.
  • Hiltermann TJN; Cancer Research UK Lung Cancer Centre of Excellence, Manchester, UK.
  • de Luca A; Department of Medical Oncology, The Christie NHS Foundation Trust, Wilmslow Road, Manchester, M20 4BX, UK.
  • Farace F; Division of Molecular and Clinical Cancer Sciences, University of Manchester, Manchester, UK.
  • Besse B; Cancer Research UK Lung Cancer Centre of Excellence, Manchester, UK.
  • Terstappen L; Cancer Research UK Manchester Institute Cancer Biomarker Centre, Cancer Research UK Manchester Institute, University of Manchester, Manchester, UK.
  • Rossi E; Department of Medical Oncology, The Christie NHS Foundation Trust, Wilmslow Road, Manchester, M20 4BX, UK.
  • Morabito A; Cancer Research UK Manchester Institute Cancer Biomarker Centre, Cancer Research UK Manchester Institute, University of Manchester, Manchester, UK.
  • Perrone F; Department of Medical Oncology, The Christie NHS Foundation Trust, Wilmslow Road, Manchester, M20 4BX, UK.
  • Renehan A; Department of Pulmonary Diseases, University of Groningen and University Medical Center Groningen, Groningen, The Netherlands.
  • Faivre-Finn C; Department of Pulmonary Diseases, University of Groningen and University Medical Center Groningen, Groningen, The Netherlands.
  • Normanno N; Cell Biology and Biotherapy Unit, Istituto Nazionale Tumori-IRCCS-Fondazione G. Pascale, Napoli, Italy.
  • Dive C; INSERM, U981 "Predictive Biomarkers and New Therapeutics in Oncology", F-94805, Villejuif, France.
  • Blackhall F; Gustave Roussy, Université Paris-Saclay. "Rare Circulating Cells" Translational Platform, CNRS UMS3655 - INSERM US23, AMMICA, Villejuif, France.
  • Michiels S; Department of Cancer Medicine, Gustave Roussy Cancer Campus, Villejuif, France; Paris-Sud University, Orsay, France.
Transl Lung Cancer Res ; 10(4): 1653-1665, 2021 Apr.
Article em En | MEDLINE | ID: mdl-34012782
ABSTRACT

BACKGROUND:

Circulating 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.

METHODS:

Four 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.

RESULTS:

A 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).

CONCLUSIONS:

Higher 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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Systematic_reviews Idioma: En Revista: Transl Lung Cancer Res Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Systematic_reviews Idioma: En Revista: Transl Lung Cancer Res Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido