Evidence map›Paper›PMID 32560123›Full record

ReviewCells2020

Chronic Viral Liver Diseases: Approaching the Liver Using T Cell Receptor-Mediated Gene Technologies.

Katie Healy, Anna Pasetto, Michał J Sobkowiak, Chai Fen Soon, Markus Cornberg, Soo Aleman, Margaret Sällberg Chen

Open access · goldAbstract readReview
In one paragraph

Review in Cells, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 33% of its field
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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. 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

7 authors at 2 institutions in 2 countries.

Katie HealyDepartment of Dental Medicine, Karolinska Institutet, 14152 Stockholm, Sweden.
Anna PasettoDepartment of Laboratory Medicine, Karolinska Institutet, 14152 Stockholm, Sweden.ORCID 0000-0002-5254-2173
Michał J SobkowiakDepartment of Dental Medicine, Karolinska Institutet, 14152 Stockholm, Sweden.
Chai Fen SoonDepartment of Gastroenterology, Hepatology and Endocrinology, Hannover Medical School, 30625 Hannover, Germany.ORCID 0000-0003-0929-4263
Markus CornbergDepartment of Gastroenterology, Hepatology and Endocrinology, Hannover Medical School, 30625 Hannover, Germany.
Soo AlemanDepartment of Medicine, Karolinska Institutet, 14152 Stockholm, Sweden.
Margaret Sällberg ChenDepartment of Dental Medicine, Karolinska Institutet, 14152 Stockholm, Sweden.ORCID 0000-0002-3793-4064
Karolinska Institutet · SEMedizinische Hochschule Hannover · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic infection with viral hepatitis is a major risk factor for liver injury and hepatocellular carcinoma (HCC). One major contributing factor to the chronicity is the dysfunction of virus-specific T cell immunity. T cells engineered to express virus-specific T cell receptors (TCRs) may be a therapeutic option to improve host antiviral responses and have demonstrated clinical success against virus-associated tumours. This review aims to give an overview of TCRs identified from viral hepatitis research and discuss how translational lessons learned from cancer immunotherapy can be applied to the field. TCR isolation pipelines, liver homing signals, cell type options, as well as safety considerations will be discussed herein.

Indexed as

Carcinoma, HepatocellularHepatitis, Viral, HumanHumansImmunotherapyLiver NeoplasmsReceptors, Antigen, T-CellT-LymphocytesReceptors, Antigen, T-Cellchronic infectionT-cell immunotherapyviral hepatitis

Identifiers

PMID32560123
PMCPMC7349849
OpenAlexW3034219410

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.