Evidence map›Paper›PMID 30539280›Full record

ArticleJournal of cancer research and clinical oncology2019

T-cell receptor-α CDR3 domain chemical features correlate with survival rates in bladder cancer.

Boris I Chobrutskiy, Saif Zaman, Andrea Diviney, Moody M Mihyu, George Blanck

Open access · greenAbstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.1field-weighted citation impact, top 18% 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

13 citing papers in PubMed, 36 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

5 authors at 1 institution in 1 country.

Boris I ChobrutskiyDepartment of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, USA.
Saif ZamanDepartment of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, USA.
Andrea DivineyDepartment of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, USA.
Moody M MihyuDepartment of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, USA.
George BlanckDepartment of Molecular Medicine, Morsani College of Medicine, University of South Florida, Tampa, USA. gblanck@health.usf.edu.ORCID http://orcid.org/0000-0003-1664-0996
University of South Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeIn certain cancer settings, a T-cell response to cancer represents a relatively favorable outcome. Thus, the near-future challenges include a better understanding of exactly which T-cell features contribute to a response to which cancer antigen-groups, to maximize the opportunities for tumor-infiltrating lymphocyte (TIL)-based therapies and other immunotherapies.

methodsThe immune receptor complementarity determining region-3 (CDR3) is considered to be important for antigen binding, hence, in this report, we evaluated the chemical features of the CDR3 of 846 T-cell receptor-α (TCR-α) coding regions associated with bladder tumor tissue, using bioinformatics databases.

resultsResults indicated that statistically significantly distinct, low value, CDR3 region isoelectric points associate with a better outcome (log rank p < 0.027, overall survival). Moreover, in samples representing the more favorable isoelectric points, known driver mutations, for example, PIK3CA (E → K) with chemically complementary features overlap the better-outcome, low isoelectric point samples. Further work extended these results, i.e., survival rate-CDR3 associations, to other CDR3 chemical features and other cancers, consistent with the initial isoelectric point-related, bladder cancer findings.

conclusionsA bioinformatics assessment of cancer-associated TCR biochemical features may improve the accuracy of the predictions of which TILs will be best for ex-vivo amplification and which patients will benefit from other immunotherapies.

Indexed as

Complementarity Determining RegionsComputational BiologyDisease-Free SurvivalFemaleHumansKaplan-Meier EstimateMaleProtein DomainsReceptors, Antigen, T-Cell, alpha-betaUrinary Bladder NeoplasmsComplementarity Determining RegionsReceptors, Antigen, T-Cell, alpha-betaAntigen chemical complementarityBiochemical featuresBioinformaticsCancer survival outcomesT-cell receptor-alpha CDR3

Identifiers

PMID30539280
PMCPMC11810338
OpenAlexW2904306749

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.