Bevacizumab-induced hypertension as a predictor of clinical outcome in metastatic colorectal cancer: An individual patient data-based pooled analysis of two randomized studies and a systematic review of the literature.


Journal

Cancer treatment reviews
ISSN: 1532-1967
Titre abrégé: Cancer Treat Rev
Pays: Netherlands
ID NLM: 7502030

Informations de publication

Date de publication:
Feb 2022
Historique:
received: 16 11 2021
revised: 16 12 2021
accepted: 19 12 2021
pubmed: 12 1 2022
medline: 28 1 2022
entrez: 11 1 2022
Statut: ppublish

Résumé

Retrospective series suggest that bevacizumab-induced hypertension (HTN) is a prognostic and potentially predictive biomarker of efficacy of the antiangiogenic drug in the upfront treatment of metastatic colorectal cancer (mCRC) patients. The immortal-time bias and the effect of pre-existing HTN might affect these findings. We conducted a pooled, post hoc analysis of 2 prospective randomized trials of chemotherapy plus bevacizumab in mCRC, and performed a systematic review of the available literature focusing on how the immortal-time bias was taken into account and how pre-existing HTN potentially requiring the use of antihypertensive drugs was managed. The pooled-analysis included patients enrolled in the phase III TRIBE and TRIBE-2 studies that compared upfront FOLFOXIRI + bevacizumab to FOLFIRI or FOLFOX + bevacizumab, respectively. Association between HTN and survival outcomes was assessed by incorporating a time-dependent Cox regression model to consider the time-dependency of the probability of HTN onset during the treatment. The systematic review was conducted according to PRISMA guidelines. The systematic review retrieved 14 eligible and highly heterogeneous studies. A positive prognostic impact of bevacizumab-induced HTN was reported in the 58% of the analyses reporting Progression Free Survival (PFS) and in the 54% of the analyses reporting Overall Survival (OS) data. Immortal-time bias was incorporated in 4 studies (28%). In TRIBE and TRIBE-2 study populations (N = 1175), patients experiencing ≥ G2 HTN during first-line bevacizumab administration showed longer PFS (median: 14.7 versus 10.3 months, p < 0.001) and OS (median: 31.7 versus 24.2 months, p < 0.001). The association with OS retained statistical significance after correction for time-dependency (p = 0.003) and was confirmed in the multivariable model including HTN as a time-dependent variable (p = 0.02). Moreover, in patients with pre-existing HTN, no difference in terms of PFS and OS was observed compared with the subgroup of patients who never experienced ≥G2 HTN (HR 1.01, p = 0.86 and HR 1.02, p = 0.78 respectively. Bevacizumab-induced HTN during the first-line treatment of mCRC is an independent prognostic factor, also adopting a time-dependency correction. Toxicity should be interpreted as a time-dependent variable when exploring its association with clinical outcome.

Sections du résumé

BACKGROUND BACKGROUND
Retrospective series suggest that bevacizumab-induced hypertension (HTN) is a prognostic and potentially predictive biomarker of efficacy of the antiangiogenic drug in the upfront treatment of metastatic colorectal cancer (mCRC) patients. The immortal-time bias and the effect of pre-existing HTN might affect these findings. We conducted a pooled, post hoc analysis of 2 prospective randomized trials of chemotherapy plus bevacizumab in mCRC, and performed a systematic review of the available literature focusing on how the immortal-time bias was taken into account and how pre-existing HTN potentially requiring the use of antihypertensive drugs was managed.
METHODS METHODS
The pooled-analysis included patients enrolled in the phase III TRIBE and TRIBE-2 studies that compared upfront FOLFOXIRI + bevacizumab to FOLFIRI or FOLFOX + bevacizumab, respectively. Association between HTN and survival outcomes was assessed by incorporating a time-dependent Cox regression model to consider the time-dependency of the probability of HTN onset during the treatment. The systematic review was conducted according to PRISMA guidelines.
RESULTS RESULTS
The systematic review retrieved 14 eligible and highly heterogeneous studies. A positive prognostic impact of bevacizumab-induced HTN was reported in the 58% of the analyses reporting Progression Free Survival (PFS) and in the 54% of the analyses reporting Overall Survival (OS) data. Immortal-time bias was incorporated in 4 studies (28%). In TRIBE and TRIBE-2 study populations (N = 1175), patients experiencing ≥ G2 HTN during first-line bevacizumab administration showed longer PFS (median: 14.7 versus 10.3 months, p < 0.001) and OS (median: 31.7 versus 24.2 months, p < 0.001). The association with OS retained statistical significance after correction for time-dependency (p = 0.003) and was confirmed in the multivariable model including HTN as a time-dependent variable (p = 0.02). Moreover, in patients with pre-existing HTN, no difference in terms of PFS and OS was observed compared with the subgroup of patients who never experienced ≥G2 HTN (HR 1.01, p = 0.86 and HR 1.02, p = 0.78 respectively.
CONCLUSIONS CONCLUSIONS
Bevacizumab-induced HTN during the first-line treatment of mCRC is an independent prognostic factor, also adopting a time-dependency correction. Toxicity should be interpreted as a time-dependent variable when exploring its association with clinical outcome.

Identifiants

pubmed: 35016085
pii: S0305-7372(21)00174-2
doi: 10.1016/j.ctrv.2021.102326
pii:
doi:

Substances chimiques

Angiogenesis Inhibitors 0
Bevacizumab 2S9ZZM9Q9V

Types de publication

Journal Article Meta-Analysis Systematic Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

102326

Informations de copyright

Copyright © 2021 Elsevier Ltd. All rights reserved.

Auteurs

Pasquale Lombardi (P)

Department of Oncology, Università degli Studi di Torino, Turin, Italy; Phase 1 Unit, Fondazione Policlinico Universitario A. Gemelli, IRCCS, Rome.

Daniele Rossini (D)

Department of Translational Research and New Technologies in Medicine, University of Pisa, Pisa, Italy; Unit of Medical Oncology 2, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy.

Veronica Crespi (V)

Department of Oncology, Università degli Studi di Torino, Turin, Italy.

Marco Maria Germani (MM)

Department of Translational Research and New Technologies in Medicine, University of Pisa, Pisa, Italy; Unit of Medical Oncology 2, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy.

Francesca Bergamo (F)

Medical Oncology Unit 1, Veneto Institute of Oncology IOV - IRCCS, Padua, Italy.

Filippo Pietrantonio (F)

Department of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy.

Daniele Santini (D)

Department of Medical Oncology, University Campus Biomedico, Roma, Italy.

Giacomo Allegrini (G)

Department of Oncology, Division of Medical Oncology, Azienda USL Toscana Nord Ovest, Livorno, Italy.

Francesca Daniel (F)

Medical Oncology Unit 1, Veneto Institute of Oncology IOV - IRCCS, Padua, Italy.

Filippo Pagani (F)

Department of Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy.

Carlotta Antoniotti (C)

Department of Translational Research and New Technologies in Medicine, University of Pisa, Pisa, Italy; Unit of Medical Oncology 2, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy.

Alberto Zaniboni (A)

Medical Oncology Unit, Poliambulanza Foundation, Brescia, Italy.

Veronica Conca (V)

Department of Translational Research and New Technologies in Medicine, University of Pisa, Pisa, Italy; Unit of Medical Oncology 2, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy.

Tiziana Pia Latiano (TP)

Oncology Unit, Foundation IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo, Italy.

Alessandra Boccaccino (A)

Department of Translational Research and New Technologies in Medicine, University of Pisa, Pisa, Italy; Unit of Medical Oncology 2, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy.

Alessandro Passardi (A)

Department of Medical Oncology, IRCCS Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) "Dino Amadori", Meldola, Italy.

Emiliano Tamburini (E)

Oncology Unit, Ospedale degli Infermi, Rimini, Italy; Oncology Department and Palliative Care, Cardinale Panico Tricase City Hospital, Tricase, Italy.

Gianluca Masi (G)

Department of Translational Research and New Technologies in Medicine, University of Pisa, Pisa, Italy; Unit of Medical Oncology 2, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy.

Massimo Di Maio (M)

Department of Oncology, Università degli Studi di Torino, Turin, Italy; Azienda Ospedaliera Ordine Mauriziano di Torino, Turin, Italy. Electronic address: massimo.dimaio@unito.it.

Chiara Cremolini (C)

Department of Translational Research and New Technologies in Medicine, University of Pisa, Pisa, Italy; Unit of Medical Oncology 2, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy.

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