Targeted first-line therapies for advanced colorectal cancer: A Bayesian meta-analysis Journal Article


Authors: Ridouane, Y.; Lopes, G.; Ku, G.; Masud, H.; Haaland, B.
Article Title: Targeted first-line therapies for advanced colorectal cancer: A Bayesian meta-analysis
Abstract: Background: Colorectal cancer is common and deadly. First-line treatments for patients with metastatic disease include FOLFIRI and FOLFOX, which have been combined with anti-EGFR or anti-VEGF antibodies to achieve benefit in selected populations. However, optimal therapy remains unclear. Results: Fifteen publications on 10 trials were identified. There was a lack of decisive evidence that FOLFIRI or FOLFOX impact efficacy of either anti-EGFR or anti- VEGF, across mutational status groups. On the other hand, evidence suggests both anti-EGFR and anti-VEGF may be more effective for KRAS WT than MT patients. KRAS WT results provided evidence that anti-EGFR treatments may be more effective than anti-VEGF treatments when combined with FOLFIRI or FOLFOX. Further, evidence suggests that both anti-EGFR and anti-VEGF therapies, when combined with FOLFIRI or FOLFOX, may be harmful as compared to chemotherapy for KRAS MT patients. Materials and Methods: Literature was searched for randomized trials comparing anti-EGFR or anti-VEGF antibodies, paired with FOLFIRI or FOLFOX, as first-line therapy for advanced colorectal cancer. Meta-estimates were generated via Bayesian hierarchical log-linear model. The primary endpoint was overall survival. Conclusions: Further studies examining impact of all-RAS mutation status, left or right side location of primary tumor, and combination anti-VEGF with modern bolus fluoropyrimidine are needed. © Ridouane et al.
Keywords: colorectal cancer; decision analysis; targeted therapy; meta-analysis; bayesian
Journal Title: Oncotarget
Volume: 8
Issue: 39
ISSN: 1949-2553
Publisher: Impact Journals  
Date Published: 2017-09-12
Start Page: 66458
End Page: 66466
Language: English
DOI: 10.18632/oncotarget.20185
PROVIDER: scopus
PMCID: PMC5630427
PUBMED: 29029527
DOI/URL:
Notes: Article -- Export Date: 2 November 2017 -- Source: Scopus
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  1. Geoffrey Yuyat Ku
    230 Ku