Comprehensive analysis of first-line, maintenance, and subsequent-line therapies for metastatic colorectal cancer: a systematic review, meta-analysis, and network meta-analysis

Background: Treatment sequencing in metastatic colorectal cancer (mCRC) remains controversial despite advances in systemic therapy. We conducted a systematic review and meta-analysis to evaluate the efficacy and safety of current strategies across treatment lines. Methods: A comprehensive search of major databases and conference proceedings was conducted from inception to August 2024. Eligible studies were phase II–III randomized controlled trials (RCTs) in mCRC patients, reporting overall survival (OS), progression-free survival (PFS), or grade ≥3 adverse events. Pairwise and network meta-analyses were performed using both Bayesian and frequentist models across first-line, maintenance, and subsequent-line settings, with subgroup analyses by RAS and BRAF mutation status. Results: We included 100 RCTs (41 215 patients) evaluating targeted therapy (Tar), chemotherapy (Chemo), Chemo + Tar, local plus systemic therapy (Local + ST), immunotherapy (IO), Chemo + Tar + IO, supportive care (SC), and Tar + IO. For first-line, Chemo + Tar improved PFS over Chemo (HR 0.83, 95% CI 0.75–0.93), but the OS benefit was not significant. Local + ST achieved the best PFS and OS outcomes, outperforming Chemo (HR 0.73; 95% CI, [0.52–0.99]) and Chemo + Tar (0.83 [0.72–0.93]). For maintenance therapy, Chemo provided the greatest PFS benefit, significantly better than SC (0.34 [0.13–0.74]). Chemo + Tar (0.81 [0.25–2.48]) and Tar (0.60 [0.19–1.71]) showed favorable but non-significant trends. De-escalation improved tolerability but compromised disease control. For subsequent-line, Chemo + Tar improved PFS over Chemo (0.70 [0.61–0.81]), while IO improved OS vs SC (HR 0.72, 95% CI 0.54–0.97). Tar + IO ranked highest for OS, suggesting potential synergy. Local + ST again showed the best PFS, outperforming SC (0.34 [0.18–0.63]) and Chemo (0.59 [0.42–0.83]). Subgroup analyses revealed distinct responses by molecular subtype, notably among RAS wild-type and BRAF mutant patients. Pairwise and network analyses yielded similar results. Conclusions: Local + ST benefits well-selected patients across lines. Chemo + Tar remains standard in first-line. Chemo-based maintenance offers the best PFS; de-escalation improves tolerance but reduces efficacy. In subsequent-line, Tar + IO shows promising OS, and Chemo + Tar remains effective.

Authors

Institutions

Publication Details

Journal
International Journal of Surgery
Published
2025-12-04
DOI
https://doi.org/10.1097/js9.0000000000004152
Primary Topic
Colorectal Cancer Treatments and Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comprehensive analysis of first-line, maintenance, and subsequent-line therapies for metastatic colorectal cancer: a systematic review, meta-analysis, and network meta-analysis

Zhenyi Wang, Yunlin Jiang, Mingye Zhao
International Journal of Surgery
Colorectal Cancer Treatments and Studies
article

Comprehensive analysis of first-line, maintenance, and subsequent-line therapies for metastatic colorectal cancer: a systematic review, meta-analysis, and network meta-analysis

Zhenyi Wang, Yunlin Jiang, Mingye Zhao
article en

Abstract

Background: Treatment sequencing in metastatic colorectal cancer (mCRC) remains controversial despite advances in systemic therapy. We conducted a systematic review and meta-analysis to evaluate the efficacy and safety of current strategies across treatment lines. Methods: A comprehensive search of major databases and conference proceedings was conducted from inception to August 2024. Eligible studies were phase II–III randomized controlled trials (RCTs) in mCRC patients, reporting overall survival (OS), progression-free survival (PFS), or grade ≥3 adverse events. Pairwise and network meta-analyses were performed using both Bayesian and frequentist models across first-line, maintenance, and subsequent-line settings, with subgroup analyses by RAS and BRAF mutation status. Results: We included 100 RCTs (41 215 patients) evaluating targeted therapy (Tar), chemotherapy (Chemo), Chemo + Tar, local plus systemic therapy (Local + ST), immunotherapy (IO), Chemo + Tar + IO, supportive care (SC), and Tar + IO. For first-line, Chemo + Tar improved PFS over Chemo (HR 0.83, 95% CI 0.75–0.93), but the OS benefit was not significant. Local + ST achieved the best PFS and OS outcomes, outperforming Chemo (HR 0.73; 95% CI, [0.52–0.99]) and Chemo + Tar (0.83 [0.72–0.93]). For maintenance therapy, Chemo provided the greatest PFS benefit, significantly better than SC (0.34 [0.13–0.74]). Chemo + Tar (0.81 [0.25–2.48]) and Tar (0.60 [0.19–1.71]) showed favorable but non-significant trends. De-escalation improved tolerability but compromised disease control. For subsequent-line, Chemo + Tar improved PFS over Chemo (0.70 [0.61–0.81]), while IO improved OS vs SC (HR 0.72, 95% CI 0.54–0.97). Tar + IO ranked highest for OS, suggesting potential synergy. Local + ST again showed the best PFS, outperforming SC (0.34 [0.18–0.63]) and Chemo (0.59 [0.42–0.83]). Subgroup analyses revealed distinct responses by molecular subtype, notably among RAS wild-type and BRAF mutant patients. Pairwise and network analyses yielded similar results. Conclusions: Local + ST benefits well-selected patients across lines. Chemo + Tar remains standard in first-line. Chemo-based maintenance offers the best PFS; de-escalation improves tolerance but reduces efficacy. In subsequent-line, Tar + IO shows promising OS, and Chemo + Tar remains effective.

International Journal of SurgeryVol. 112(3)
China Pharmaceutical University (CN), Shanghai University of Traditional Chinese Medicine (CN), Yueyang Hospital (CN)
Good health and well-being
Openalex Percentile: Top 27%
Colorectal Cancer Treatments and Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.