Evidence map›Paper›PMID 30561769›Full record

ArticleHepatology (Baltimore, Md.)2019

Tuning T-Cell Receptor Affinity to Optimize Clinical Risk-Benefit When Targeting Alpha-Fetoprotein-Positive Liver Cancer.

Roslin Y Docta, Tiago Ferronha, Joseph P Sanderson, Thomas Weissensteiner, George R Pope, Alan D Bennett, Nicholas J Pumphrey, Zoltan Ferjentsik, Laura L Quinn, Guy E Wiedermann and 5 more

Open access · bronzeAbstract readValidation Study
In one paragraph

Article in Hepatology (Baltimore, Md.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
2.2field-weighted citation impact, top 9% 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

43 citing papers in PubMed, 53 citations in OpenAlex.

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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

15 authors at 1 institution in 1 country.

Roslin Y DoctaAdaptimmune, Abingdon, United Kingdom.
Tiago FerronhaAdaptimmune, Abingdon, United Kingdom.
Joseph P SandersonAdaptimmune, Abingdon, United Kingdom.
Thomas WeissensteinerAdaptimmune, Abingdon, United Kingdom.
George R PopeAdaptimmune, Abingdon, United Kingdom.
Alan D BennettAdaptimmune, Abingdon, United Kingdom.
Nicholas J PumphreyAdaptimmune, Abingdon, United Kingdom.
Zoltan FerjentsikAdaptimmune, Abingdon, United Kingdom.
Laura L QuinnAdaptimmune, Abingdon, United Kingdom.
Guy E WiedermannAdaptimmune, Abingdon, United Kingdom.
Victoria E AndersonAdaptimmune, Abingdon, United Kingdom.
Manoj SainiAdaptimmune, Abingdon, United Kingdom.
Miguel MarotoAdaptimmune, Abingdon, United Kingdom.
Elliot NorryAdaptimmune, Abingdon, United Kingdom.
Andrew B GerryAdaptimmune, Abingdon, United Kingdom.
Adaptimmune (United Kingdom) · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients with hepatocellular carcinoma (HCC) have a poor prognosis and limited therapeutic options. Alpha-fetoprotein (AFP) is often expressed at high levels in HCC and is an established clinical biomarker of the disease. Expression of AFP in nonmalignant liver can occur, particularly in a subset of progenitor cells and during chronic inflammation, at levels typically lower than in HCC. This cancer-specific overexpression indicates that AFP may be a promising target for immunotherapy. We verified expression of AFP in normal and diseased tissue and generated an affinity-optimized T-cell receptor (TCR) with specificity to AFP/HLA-A*02

Indexed as

alpha-FetoproteinsCarcinoma, HepatocellularHep G2 CellsHLA-A2 AntigenHumansImmunotherapyLiver NeoplasmsReceptors, Antigen, T-Cellalpha-FetoproteinsHLA-A2 AntigenReceptors, Antigen, T-Cell

Identifiers

PMID30561769
PMCPMC6593660
OpenAlexW2904392624

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.