Evidence map›Paper›PMID 35693455›Full record

ArticleHepatoma research2022

Understanding immune perspectives and options for the use of checkpoint immunotherapy in HCC post liver transplant.

Chimaobi M Anugwom, Thomas M Leventhal, Jose D Debes

Abstract read
In one paragraph

Article in Hepatoma research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. 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.

Chimaobi M AnugwomHealthPartners Digestive Care, Saint Paul, Minnesota, MN 55130, USA.
Thomas M LeventhalDepartment of Medicine, Division of Gastroenterology, Hepatology and Nutrition and Division of Infectious Disease and International Medicine, University of Minnesota, Minneapolis, MN 55455, USA.
Jose D DebesDepartment of Medicine, Division of Gastroenterology, Hepatology and Nutrition and Division of Infectious Disease and International Medicine, University of Minnesota, Minneapolis, MN 55455, USA.

Funding

Assessment of gene expression profiles related to hepatocellular carcinoma in HCV: singlecell hepatocyte sequencing as a tool to identify cancer-related genesR21CA215883 · NCI · UNIVERSITY OF MINNESOTA · PI DEBES, JOSE DANIEL · 2018 to 2019
$362k
NCI NIH HHS R21 CA215883
6 · The paper itself

Abstract

Treatment modalities for hepatocellular carcinoma (HCC) vary from surgical techniques and interventional radiologic strategies to systemic therapy. For the latter, the use of immune checkpoint inhibitors (ICIs) has gained popularity due to successful trials showing increased survival. In patients who have undergone liver transplantation, recurrence of HCC poses a significant challenge. There is indeed considerable debate on the efficacy and safety of ICI use in liver transplant recipients due to competing immune interests in maintaining a healthy graft and combating the tumor. Recent reports and case series have highlighted a role for the type of immune therapy, timing of therapy, tissue expression of PD-1 and modulation of immunosuppression, in the understanding of the efficacy and risks of ICIs for HCC in liver transplant. In this article, we appraise the available literature on the usage of ICIs for HCC in liver transplant recipients and provide perspectives on immune concerns as well as potential recommendations to consider during the management of such complex cases.

Indexed as

checkpoint inhibitorsHepatocellular carcinomaliver transplant

Identifiers

PMID35693455
PMCPMC9181209

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.