ReviewFrontiers in immunology2026
Microbiome as a prediction of immunotherapy response in lung cancer.
Review in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Immune checkpoint inhibitors (ICIs) have revolutionized the treatment of lung cancer (LC), offering durable responses in non-small cell lung cancer (NSCLC) and, to a lesser extent, small cell lung cancer (SCLC). Nevertheless, clinical outcomes remain highly heterogeneous, with many patients experiencing primary or acquired resistance and/or immune-related adverse events (irAEs) that impair their quality of life and treatment adherence. The human microbiome, particularly in the gut and oral compartments, has emerged as a critical modulator of systemic antitumor immunity and a promising noninvasive predictive biomarker for ICI efficacy and toxicity. This narrative review synthesizes the current evidence on microbiome composition, diversity, and function in patients with LC receiving ICIs as monotherapy, dual blockade, or in combination regimens, as well as clinically relevant biomarkers associated with treatment response and toxicity. Higher gut microbial alpha diversity and enrichment of beneficial taxa (e.g.,
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.