Prognostic value of CEC count in HER2-negative metastatic breast cancer patients treated with bevacizumab and chemotherapy: a prospective validation study (UCBG COMET).


Journal

Angiogenesis
ISSN: 1573-7209
Titre abrégé: Angiogenesis
Pays: Germany
ID NLM: 9814575

Informations de publication

Date de publication:
05 2020
Historique:
received: 07 08 2019
accepted: 16 11 2019
pubmed: 28 11 2019
medline: 14 1 2021
entrez: 28 11 2019
Statut: ppublish

Résumé

Proof of concept studies has reported that circulating endothelial cell (CEC) count may be associated with the outcome of HER2-negative metastatic breast cancer (mBC) patients treated by chemotherapy and the anti-VEGF antibody bevacizumab. We report the results obtained in an independent prospective validation cohort (COMET study, NCT01745757). The main baseline criteria were HER2-negative mBC, performance status 0-2 and no prior chemotherapy for metastatic disease. CECs were detected by CellSearch® from 4 ml of blood at baseline and after 4 weeks of weekly paclitaxel and bevacizumab therapy. CEC counts (considered both as a continuous variable and using the previously described 20 CEC/4 ml cutoff) were associated with clinical characteristics and progression-free survival (PFS). CEC count was obtained in 251 patients at baseline and in 207 patients at 4 weeks. Median baseline CEC count was 22 CEC/4 ml (range 0-2231). Baseline CEC counts were associated with performance status (p = 0.02). No statistically significant change in CEC counts was observed between baseline and 4 weeks of therapy. High baseline CEC count was associated with shorter PFS in univariate and multivariate analyses (continuous: p < 0.001; dichotomized: HR 1.52, 95% CI [1.15-2.02], p = 0.004). CEC counts at 4 weeks had no prognostic impact. This study confirms that CEC count may be associated with the outcome of mBC patients treated with chemotherapy and bevacizumab. However, discrepancies with previous reports in terms of both the timing of CEC count and the direction of the prognostic impact warrant further clinical investigation.

Sections du résumé

BACKGROUND
Proof of concept studies has reported that circulating endothelial cell (CEC) count may be associated with the outcome of HER2-negative metastatic breast cancer (mBC) patients treated by chemotherapy and the anti-VEGF antibody bevacizumab. We report the results obtained in an independent prospective validation cohort (COMET study, NCT01745757).
METHODS
The main baseline criteria were HER2-negative mBC, performance status 0-2 and no prior chemotherapy for metastatic disease. CECs were detected by CellSearch® from 4 ml of blood at baseline and after 4 weeks of weekly paclitaxel and bevacizumab therapy. CEC counts (considered both as a continuous variable and using the previously described 20 CEC/4 ml cutoff) were associated with clinical characteristics and progression-free survival (PFS).
RESULTS
CEC count was obtained in 251 patients at baseline and in 207 patients at 4 weeks. Median baseline CEC count was 22 CEC/4 ml (range 0-2231). Baseline CEC counts were associated with performance status (p = 0.02). No statistically significant change in CEC counts was observed between baseline and 4 weeks of therapy. High baseline CEC count was associated with shorter PFS in univariate and multivariate analyses (continuous: p < 0.001; dichotomized: HR 1.52, 95% CI [1.15-2.02], p = 0.004). CEC counts at 4 weeks had no prognostic impact.
CONCLUSION
This study confirms that CEC count may be associated with the outcome of mBC patients treated with chemotherapy and bevacizumab. However, discrepancies with previous reports in terms of both the timing of CEC count and the direction of the prognostic impact warrant further clinical investigation.

Identifiants

pubmed: 31773439
doi: 10.1007/s10456-019-09697-7
pii: 10.1007/s10456-019-09697-7
doi:

Substances chimiques

Biomarkers, Pharmacological 0
Biomarkers, Tumor 0
Bevacizumab 2S9ZZM9Q9V

Banques de données

ClinicalTrials.gov
['NCT01745757']

Types de publication

Journal Article Multicenter Study Observational Study Research Support, Non-U.S. Gov't Validation Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

193-202

Auteurs

Antoine Vasseur (A)

Department of Medical Oncology, Institut Curie, PSL Research University, 26 rue d'Ulm, 75005, Paris & Saint Cloud, France.

Luc Cabel (L)

Department of Medical Oncology, Institut Curie, PSL Research University, 26 rue d'Ulm, 75005, Paris & Saint Cloud, France.
UVSQ, Paris-Saclay University, Saint Cloud, France.

Olivier Tredan (O)

Department of Medical Oncology, Leon Berard Center, Lyon, France.

Marion Chevrier (M)

Department of Biostatistics, Institut Curie, PSL Research University, Paris & Saint Cloud, France.

Coraline Dubot (C)

Department of Medical Oncology, Institut Curie, PSL Research University, 26 rue d'Ulm, 75005, Paris & Saint Cloud, France.

Véronique Lorgis (V)

Department of Medical Oncology, Georges-François Leclerc Center, Dijon, France.

William Jacot (W)

Department of Medical Oncology, Institut du Cancer de Montpellier (ICM) Val d'Aurelle, Montpellier University, IRCM INSERM U1194, Montpellier, France.

Anthony Goncalves (A)

Aix-Marseille Univ, Inserm U1068, CNRS UMR7258, Institut Paoli-Calmettes, Department of Medical Oncology, CRCM, Marseille, France.

Marc Debled (M)

Department of Medical Oncology, Institut Bergonie, Bordeaux, France.

Christelle Levy (C)

Department of Medical Oncology, François Baclesse Center, Caen, France.

Jean-Marc Ferrero (JM)

Department of Medical Oncology, Antoine Lacassagne Center, Nice, France.

Christelle Jouannaud (C)

Department of Medical Oncology, Institut Jean Godinot, Reims, France.

Elisabeth Luporsi (E)

Department of Medical Oncology, ICL Alexis Vautrin, Vandoeuvre Les Nancy, France.

Marie-Ange Mouret-Reynier (MA)

Department of Medical Oncology, Jean Perrin Center, Clermont-Ferrand, France.

Florence Dalenc (F)

Department of Medical Oncology, Institut Claudius Regaud, IUCT-Oncopole, Toulouse, France.

Jerome Lemonnier (J)

R&D UNICANCER, UCBG, Paris, France.

Alexia Savignoni (A)

Department of Biostatistics, Institut Curie, PSL Research University, Paris & Saint Cloud, France.

Marie-Laure Tanguy (ML)

Department of Biostatistics, Institut Curie, PSL Research University, Paris & Saint Cloud, France.

Francois-Clement Bidard (FC)

Department of Medical Oncology, Institut Curie, PSL Research University, 26 rue d'Ulm, 75005, Paris & Saint Cloud, France.
UVSQ, Paris-Saclay University, Saint Cloud, France.

Jean-Yves Pierga (JY)

Department of Medical Oncology, Institut Curie, PSL Research University, 26 rue d'Ulm, 75005, Paris & Saint Cloud, France. jean-yves.pierga@curie.fr.
Paris Descartes University, Paris, France. jean-yves.pierga@curie.fr.

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Classifications MeSH