Evidence map›Paper›PMID 40303874›Full record

ReviewJournal of clinical and experimental hepatology

Liver Transplantation for Non-hepatocellular Carcinoma: The Role of Immune Checkpoint Inhibitors.

Pegah Bahrami, Mohammad Al Zein, Ali H Eid, Amirhossein Sahebkar

Abstract readReview
In one paragraph

Review in Journal of clinical and experimental hepatology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Pegah BahramiApplied Biomedical Research Center, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
Mohammad Al ZeinFaculty of Medical Sciences, Lebanese University, Beirut, Lebanon.
Ali H EidDepartment of Basic Medical Sciences, College of Medicine, QU Health, Qatar University, Doha, Qatar.
Amirhossein SahebkarBiotechnology Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer (CRC), gastroenteropancreatic neuroendocrine neoplasm (GEP-NEN), and cholangiocarcinoma (CCA) exhibit high rates of morbidity and mortality once metastasized to the liver. Liver transplantation (LT) is a viable therapeutic approach for these cancers in highly selected patients; however, their invasive nature at late stages causes many patients to be delisted from transplantation or to require further downstaging. Immunotherapy with immune checkpoint modulators has revolutionized cancer research. Immune checkpoint inhibitors (ICI) leverage the chronic inflammatory state and the overexpression of cytotoxic T lymphocyte antigen 4 (CTLA-4) and programmed cell death protein 1 (PD-1)/programmed cell death-ligand 1 (PD-L1) by malignant cells and regulatory T cells, to block immune checkpoints and counteract tumor's ability to evade the immune system. However, the interaction between allograft PD-L1 and PD-1 on infiltrating T cells functions as a means of graft tolerance in cases of LT. Therefore, the application of ICIs might block this protective effect and induce graft rejection, a phenomenon particularly observed in PD-1/PD-L1 inhibiting ICIs. The risk of post-LT graft rejection can be mitigated by applying advanced biomarkers and specifying certain mutations that enhance patient selection criteria for pre-LT ICI use. Furthermore, the determination of optimal intervals of ICI administration pre- and post-LT, identification of ICI indications in

Indexed as

CCACRCGEP-NENimmune checkpoint inhibitorsliver transplant

Identifiers

PMID40303874
PMCPMC12036051

What OpenQuestion holds

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Registered trials

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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 OpenQuestion graph.