Immune checkpoint inhibitors in cancer patients with pre-existing autoimmune disease: Comparative safety and efficacy in a registered systematic review.

Crit Rev Oncol HematolAug 18, 2026 (epub)

Ziyue Wang, Xu Wang

✦ AI-curated · Sources linked

In 30 seconds

This registered systematic review and restricted meta-analysis compared immune checkpoint inhibitor (ICI) safety and efficacy in cancer patients with versus without pre-existing autoimmune disease (AID). Twenty-five studies were included; five contributed to the any-grade immune-related adverse event (irAE) meta-analysis and four to the grade ≥ 3 analysis. Pre-existing AID was associated with more any-grade irAEs (risk ratio [RR] 1.34, 95% confidence interval [CI] 1.13-1.60). The estimate for grade ≥ 3 irAEs was inconclusive, and available evidence could not establish whether AID modified antitumour efficacy.

Key findings

  • Pre-existing AID was associated with increased any-grade irAEs (RR 1.34, 95% CI 1.13-1.60).
  • The comparative estimate for grade ≥ 3 irAEs was inconclusive (RR 0.99, 95% CI 0.66-1.47).
  • Available data were insufficient to determine whether pre-existing AID modified antitumour efficacy.

Why it matters

The findings distinguish an increased likelihood of any-grade immune toxicity from the still-uncertain evidence on severe toxicity and antitumour efficacy. This helps frame discussions about ICI use in patients with pre-existing AID without treating all autoimmune disease as an automatic barrier to cancer immunotherapy.

What to keep in mind

Only five studies contributed to the any-grade irAE meta-analysis and four to the grade ≥ 3 analysis; available data were insufficient to determine effects on antitumour efficacy.

Source

Published in Crit Rev Oncol Hematol. This summary was written by xxcode from the publication's abstract and metadata. It is not peer reviewed and is not a substitute for the original article. For clinical decisions, review the original publication.

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AI-generated summaries may contain errors or omissions. Verify clinically important information with the original publication.

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