Evidence map›Paper›PMID 41012682›Full record

ReviewViruses2025

Hot and Cold HCC: Uncoupling Viral Oncogenesis and Therapy.

Laura Sneller, Keshav Mathur, Shyam Kottilil, Poonam Mathur

Abstract readReview
In one paragraph

Review in Viruses, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Laura SnellerCollege of Medicine, Drexel University College of Medicine, 2900 W Queen Ln, Philadelphia, PA 19116, USA.
Keshav MathurMilken Institute School of Public Health, George Washington University, 950 New Hampshire Ave NW, Washington, DC 20001, USA.
Shyam KottililInstitute of Human Virology, University of Maryland School of Medicine, 725 W Lombard St., Baltimore, MD 21201, USA.ORCID 0000-0001-7471-0812
Poonam MathurInstitute of Human Virology, University of Maryland School of Medicine, 725 W Lombard St., Baltimore, MD 21201, USA.ORCID 0000-0003-1346-9388

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) is rising in incidence globally. It is the sixth most common cancer and the third leading cause of cancer-related mortality worldwide. Infection with hepatitis B and/or C virus is a significant risk factor for developing HCC. These viruses exert their carcinogenicity in both direct and indirect ways, including induction of immune exhaustion with prolonged antigen exposure. Therefore, the best therapeutic option for HCC is prevention, i.e., Hepatitis B vaccination and treatment of viral hepatitis. However, when HCC develops because of viral hepatitis or other etiologies, long-lasting effects on the immune system remain even after viral suppression, which affect the response to HCC therapy. Recent studies have suggested a "hot" and "cold" model for HCC, in which the two kinds of HCC tumors have very distinct tumor microenvironments. The microenvironment for hot HCC makes these tumors amenable to immunotherapy with checkpoint inhibitors. Therefore, converting cold HCC tumors to hot tumors may make them susceptible to immunotherapy. In this review, we provide an overview of HCC epidemiology and prevention, an overview of tumor microenvironments of hot and cold HCC, the proposed mechanisms for converting cold tumors to hot tumors, and a concise summary of the evidence for combination checkpoint inhibitor therapy for HCC.

Indexed as

CarcinogenesisCarcinoma, HepatocellularLiver NeoplasmsAnimalsHumansImmune Checkpoint InhibitorsImmunotherapyTumor MicroenvironmentImmune Checkpoint Inhibitorshepatocellular carcinomahot and cold tumorsimmune checkpoint inhibitorstreatment

Identifiers

PMID41012682
PMCPMC12474388

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.