Literature DB >> 32110977

Moving the Target on the Optimal Adjuvant Strategy for Resected Pancreatic Cancers: A Systematic Review with Meta-Analysis.

Antonio Galvano1, Marta Castiglia1, Sergio Rizzo1, Nicola Silvestris2, Oronzo Brunetti2, Giovanni Vaccaro1, Valerio Gristina1, Nadia Barraco1, Marco Bono3, Giovanni Guercio3, Giuseppa Graceffa3, Fabio Fulfaro1, Stefania Gori4, Viviana Bazan5, Antonio Russo1.   

Abstract

Combination regimens have shown superiority over single agents in the adjuvant treatment of resected pancreatic cancer (PC), but there are no data supporting definition of the best regimen. This work aimed to compare the efficacy and safety of mFOLFIRINOX, gemcitabine+capecitabine, and gemcitabine+nab/paclitaxel in PC patients. A meta-analysis was performed for direct comparison between trials comparing combination regimens and gemcitabine monotherapy. Subsequently, an indirect comparison was made between trials investigating the efficacy and safety of mFOLFIRINOX, gemcitabine+capecitabine, and gemcitabine+nab/paclitaxel because of the same control arm (gemcitabine). A total of three studies met the selection criteria and were included in our indirect comparison. Indirect comparisons for efficacy outcomes showed a benefit in terms of DFS (disease-free survival)/EFS (event-free survival)/RFS (relapse-free survival) for both mFOLFIRINOX versus gemcitabine+capecitabine (HR 0.69, 95% CI 0.52-0.91) and versus gemcitabine+nab/paclitaxel (HR 0.67, 95% CI 0.50-0.90). No significant advantage was registered for OS (overall survival). Indirect comparisons for safety showed an increase in terms of G3-5 AEs (with the exception of neutropenia) for mFOLFIRINOX versus gemcitabine+capecitabine (RR 1.24, 95% CI 1.03-1.50), while no significant differences were observed versus gemcitabine+nab/paclitaxel. According to our results, mFOLFIRINOX is feasible and manageable and could represent a first option for fit PC resected patients.

Entities:  

Keywords:  adjuvant; chemotherapy; mFOLFIRINOX; meta-analysis; pancreatic cancer; systematic review

Year:  2020        PMID: 32110977     DOI: 10.3390/cancers12030534

Source DB:  PubMed          Journal:  Cancers (Basel)        ISSN: 2072-6694            Impact factor:   6.639


  1 in total

1.  Prognostic Value of Drug Targets Predicted Using Deep Bioinformatic Analysis of m6A-Associated lncRNA-Based Pancreatic Cancer Model Characteristics and Its Tumour Microenvironment.

Authors:  Peng-Wei Cao; Lei Liu; Zi-Han Li; Feng Cao; Fu-Bao Liu
Journal:  Front Genet       Date:  2022-04-25       Impact factor: 4.772

  1 in total

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