Immune Checkpoint Inhibitor Combinations in Advanced Ovarian Cancer: A Systematic Review and Meta-Analysis of Randomized Controlled Trials
In brief
Bevacizumab plus checkpoint inhibitors lowered progression-or-death hazard by 17% in advanced ovarian cancer
Across nine randomized trials involving 7,381 patients, checkpoint inhibitor combinations improved progression-free survival overall, with the clearest, moderately certain evidence for regimens including bevacizumab. PARP inhibitor combinations showed a less robust signal, while chemotherapy combinations did not improve outcomes; subgroup differences remain exploratory, so the best partner and role of biomarkers are still uncertain.
- Journal
- Cancers (Q1)
- Published
- 14 September 2026
- Study design
- Systematic review / meta-analysis of RCTs
- Evidence level
- Level 1, High (CEBM 1a)
- Authors
- Boram Choi, Youn Jin Choi, Keun Ho Lee
- PMID
- 42794937
- DOI
- 10.3390/cancers18182971
Why clinicians should know about it
- Picked for Biochemistry (medical) (top studies of the week, 27 September 2026): ICI combinations in advanced ovarian cancer meta‑analysis
- Picked for Oncology and Radiation Oncology (top studies of the week, 27 September 2026): ICI combinations improve PFS in advanced ovarian cancer RCT meta-analysis
- Picked for Radiation Oncology (top studies of the week, 27 September 2026): ICI ovarian cancer meta‑analysis, no RT
- Picked for Surgical Oncology (top studies of the week, 27 September 2026): High-quality evidence in a top journal
Abstract
BACKGROUND/OBJECTIVES: Immune checkpoint inhibitors (ICIs) have shown limited efficacy in the treatment of ovarian cancer when used alone. This systematic review and meta-analysis evaluated the impact of different combination partners on ICI efficacy. METHODS: PubMed, Embase, CENTRAL, and Web of Science were searched until March 2026 for phase III randomized controlled trials (RCTs) of anti-PD-1/PD-L1 combination regimens. Nine fully published trials (N = 7381) were included in the primary analyses; an ICI monotherapy trial and two conference-abstract-only trials were considered in sensitivity analyses. Hazard ratios (HRs) were pooled using random-effects models with pre-specified subgroup analyses by combination partner. Evidence certainty was assessed using GRADE. RESULTS: Overall, ICI combination therapy significantly improved progression-free survival (PFS) (HR 0.83, 95% confidence interval (CI) 0.73-0.93; I2 = 55.8%; p = 0.007). Bevacizumab plus ICI significantly improved progression-free survival (PFS) (k = 4; HR 0.83, 95% CI 0.74-0.93 [Wald-type]; GRADE: Moderate). PARP inhibitor plus ICI also showed a Wald-type PFS improvement (k = 3; HR 0.78, 95% CI 0.63-0.96 [Wald-type]; GRADE: Low), but this was not robust to Hartung-Knapp-Sidik-Jonkman (HKSJ) adjustment or inclusion of abstract-only trials (SA5: k = 5; HR 0.85, 95% CI 0.67-1.09; I2 = 90.1%). Chemotherapy plus ICI (two avelumab trials) showed no benefit (k = 2; HR 0.96, 95% CI 0.66-1.38). KEYNOTE-B96 demonstrated the first significant overall survival (OS) benefit with an ICI regimen (HR 0.82, 95% CI 0.69-0.97). Funnel plot assessment showed no asymmetry; Egger's test was not formally applied, as the pre-specified threshold of ten trials was not met (descriptive p = 0.81). CONCLUSIONS: ICI combination therapy improved PFS in advanced ovarian cancer, in contrast to earlier syntheses pooling monotherapy and combination regimens. The benefit was most consistent for bevacizumab-based regimens (GRADE: Moderate); the PARP inhibitor-based benefit was less robust (Low), and chemotherapy combinations offered no advantage (Very low). Subgroup differences were not statistically significant and remain exploratory; a partner-specific, biomarker-guided approach is warranted.
Abstract as published, via PubMed.
For healthcare professionals. The summary is generated by AI from the published abstract, and the evidence level is assigned automatically from the study design on the Oxford CEBM hierarchy. Neither is medical advice. Read the full paper before changing practice.