Evidence map›Paper›PMID 40860240›Full record

ArticleJournal of liver transplantation2025

Current knowledge about immunotherapy response after liver transplantation of patients with liver cancer.

W Gaya Shivega, Xin Wei Wang, Shay Behrens

Abstract read
In one paragraph

Article in Journal of liver transplantation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

3 authors.

W Gaya ShivegaOregon Health and Sciences University, Portland, OR 97239, USA.ORCID 0000-0002-7827-543X
Xin Wei WangLaboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD 20892, USA.
Shay BehrensOregon Health and Sciences University, Portland, OR 97239, USA.

Funding

Strategies for improving early detection, diagnosis and treatment of liver cancerZIABC010313 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI WANG, XIN WEI · 2009 to 2025
$18.1M
Liver Cancer ProgramZIABC011870 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI WANG, XIN WEI · 2019 to 2025
$10.1M
Molecular signatures for liver cancer diagnosis and treatment stratificationZ01BC010313 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI WANG, XIN WEI · 1999 to 2008
$1.8M
The role of cancer stem cells in liver cancer heterogeneity and subtypesZ01BC010876 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI WANG, XIN · 2008 to 2008
$490k
The identification of human hepatocellular carcinoma metastasis genesZ01BC010877 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI WANG, XIN · 2008 to 2008
$327k
Intramural NIH HHS Z01 BC010313Intramural NIH HHS Z01 BC010876Intramural NIH HHS Z01 BC010877Intramural NIH HHS ZIA BC010313Intramural NIH HHS ZIA BC011870
6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (iCCA) are the two main liver cancers responsible for cancer deaths worldwide. Multiple etiologies exist driving these diseases; however, there are limited effective treatments to date. Recent studies have demonstrated improved outcomes in patients with advanced disease treated with immune checkpoint inhibition (ICI). Further, as these patients undergo liver transplantation, it's critical to have an understanding of the impact of ICI on the immune system post-transplantation. In this review, we will provide an overview on ICI therapy in liver cancer, ICI utilization in the peri-transplantation setting, and discuss molecular predictions to immunotherapy response.

Indexed as

Hepatocellular CarcinomaImmune-Check Point InhibitorsImmunotherapyIntrahepatic CholangiocarcinomaLiver Transplantation

Identifiers

PMID40860240
PMCPMC12376839

What OpenQuestion holds

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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.