Evidence map›Paper›PMID 29361059›Full record

ArticleInternational immunology2018

TcR-α recombinations in renal cell carcinoma exome files correlate with an intermediate level of T-cell exhaustion biomarkers.

Anne T Mai, Wei Lue Tong, Yaping N Tu, George Blanck

Abstract read
In one paragraph

Article in International immunology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
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.

Anne T MaiDepartment of Molecular Medicine, Morsani College of Medicine, University of South Florida, USA.
Wei Lue TongDepartment of Molecular Medicine, Morsani College of Medicine, University of South Florida, USA.
Yaping N TuDepartment of Molecular Medicine, Morsani College of Medicine, University of South Florida, USA.
George BlanckDepartment of Molecular Medicine, Morsani College of Medicine, University of South Florida, USA.

Funding

TRANSLATIONAL RESEARCHP30CA076292 · NCI · UNIVERSITY OF SOUTH FLORIDA · PI KENNETH Lynn WRIGHT · 1998 to 2026
$93.5M
NCI NIH HHS P30 CA076292
6 · The paper itself

Abstract

Renal cell carcinoma exome-derived, V(D)J recombination reads had an elevated presence and variability, for both TcR-α and -β, when compared to marginal tissue, reflecting an opportunity to assess tumor immunogenicity by comparison with marginal tissue T cells. PD-1, PD-L2, CTLA4 and FOXP3, all of which are implicated in the evasion of an anti-tumor immune response, had a significantly higher expression for samples representing co-detection of productive TcR-α and -β recombination reads. Samples representing tumors with productive TcR-α recombination reads but no detectable, productive TcR-β recombination reads, reflected a 20% survival advantage, and RNASeq data indicated an intermediate level of immune checkpoint gene expression for those samples. These results raise the question of whether relatively high levels of detection of productive TcR-α recombination reads, in comparison with detection of reads representing the TcR-β gene, identify a microenvironment that has not yet entered a T-cell exhaustion phase and may thereby represent conditions for immune enhancements that do not require anti-immune checkpoint therapies.

Indexed as

AlgorithmsBiomarkers, TumorCarcinoma, Renal CellExomeHumansKidney NeoplasmsReceptors, Antigen, T-Cell, alpha-betaRecombination, GeneticRNA, MessengerSequence Analysis, RNAT-LymphocytesBiomarkers, TumorReceptors, Antigen, T-Cell, alpha-betaRNA, MessengerCTLA4PD-1PD-L2TCR recombinationstumor specimen exomes

Identifiers

PMID29361059
PMCPMC7958811

What OpenQuestion holds

Textmetadata
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.