ReviewCancers2026
Prediction of Response to Immunotherapy in Hepatocellular Carcinoma: Where Do We Stand?
Review in Cancers, 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
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Worldwide, liver cancer is the seventh most common cancer and the third leading cause of cancer-related mortality, reflecting its dismal prognosis, with only approximately 20% of patients alive 5 years after diagnosis. At least 50% of patients ultimately require systemic treatment. In 2020, the systemic treatment landscape changed dramatically with the introduction of immune checkpoint inhibitor (ICI)-based therapies, which have demonstrated improved overall survival and longer preservation of quality of life compared with tyrosine kinase inhibitor (TKI)-based approaches. However, fewer than one third of patients achieve objective response, 10-25% experience severe immune-related adverse events, and ICI-based treatments represent a substantial economic burden for health systems. Importantly, robust and clinically validated predictive biomarkers of response to ICI remain an unmet need. This review summarizes current efforts to identify predictive biomarkers of ICI response in hepatocellular carcinoma (HCC), integrating clinical, pathological, molecular, microbiome, and imaging approaches, and discusses how these developments may shape the future of treatment selection.
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Registered trials
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 OpenQuestion graph.