ReviewCancers2025
Beyond Adaptive Immunity: Trained Innate Immune Responses as a Novel Frontier in Hepatocellular Carcinoma Therapy.
Review in Cancers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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
7 citing papers in PubMed.
- Monocyte/macrophage-mediated trained immunity in disease prevention and immunotherapy.Bioactive materials · 2026Review
- Glucan-Based Nanoparticles Empower Precision Cancer Immunotherapy: Design Strategies, Immune Reprogramming Mechanisms, and Clinical Translation Prospects.International journal of nanomedicine · 2026Review
- BCG in the fight against cancer: exploring its applications in diverse tumour types and future directions.Ecancermedicalscience · 2026Review
- Trained immunity as a systemic bridge: the liver-gut-immune-oral axis in the comorbidity of chronic liver disease and periodontitis.Frontiers in immunology · 2026Review
- The interplay between recovery and immunity in infectious and non-communicable diseases.Frontiers in cellular and infection microbiology · 2026Review
- Trained immunity in cancer and autoimmunity: a double-edged sword in immune memory reprogramming.Frontiers in immunology · 2026Review
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Hepatocellular carcinoma (HCC) is a leading cause of cancer death globally, with the majority of cases detected at advanced stages when curative options are limited. Current systemic therapies, including immune checkpoint inhibitors, demonstrate limited efficacy with durable responses in only 15-20% of patients. This poor response is largely attributed to HCC's immunosuppressive microenvironment, which blunts effective T-cell responses. By illustrating that innate immune cells can acquire memory-like characteristics through a process known as trained immunity, recent evidence has challenged the conventional belief that innate immunity is devoid of memory. This review investigates the potential of trained immunity, which is defined by the long-term functional reprogramming of innate immune cells through epigenetic, transcriptomic, and metabolic changes, to provide new therapeutic opportunities for HCC. We discuss mechanisms by which trained immunity can transform the HCC microenvironment, including enhanced inflammatory cytokine production, repolarization of tumor-associated macrophages toward anti-tumor phenotypes, increased immune cell infiltration, and improved bridging to adaptive immunity. We further evaluate emerging therapeutic strategies leveraging trained immunity principles, including BCG vaccination, β-glucan administration, cytokine-trained NK cell therapy, and innovative combination approaches. Finally, we address potential resistance mechanisms and future directions for clinical application. By integrating trained immunity into conventional immunotherapeutic regimens, we may significantly improve outcomes for HCC patients, potentially transforming advanced disease into a more manageable condition.
Indexed as
Identifiers
What Socratic holds
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 Socratic graph.