Evidence map›Paper›PMID 37998738›Full record

ArticleCurrent issues in molecular biology2023

T-Cell Receptor Repertoire as a Predictor of Immune-Related Adverse Events in Renal Cell Carcinoma.

Takuro Kobayashi, Masayoshi Nagata, Yoshihiro Ikehata, Yuki Nagashima, Naoya Nagaya, Yan Lu, Shigeo Horie

Abstract read
In one paragraph

Article in Current issues in molecular biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Takuro KobayashiDepartment of Urology, Graduate School of Medicine, Juntendo University, Tokyo 113-8421, Japan.ORCID 0000-0002-3141-7226
Masayoshi NagataDepartment of Urology, Graduate School of Medicine, Juntendo University, Tokyo 113-8421, Japan.ORCID 0000-0002-3077-191X
Yoshihiro IkehataDepartment of Urology, Graduate School of Medicine, Juntendo University, Tokyo 113-8421, Japan.ORCID 0000-0002-6706-2359
Yuki NagashimaDepartment of Urology, Shizuoka Hospital, Juntendo University, Shizuoka 410-2211, Japan.
Naoya NagayaDepartment of Urology, Graduate School of Medicine, Juntendo University, Tokyo 113-8421, Japan.
Yan LuDepartment of Urology, Graduate School of Medicine, Juntendo University, Tokyo 113-8421, Japan.ORCID 0000-0001-5353-4362
Shigeo HorieDepartment of Urology, Graduate School of Medicine, Juntendo University, Tokyo 113-8421, Japan.

Funding

the Japan Society for the Promotion of Science KAKENHI Grant-in-Aid for Scientific Research C Grant 19K09739
6 · The paper itself

Abstract

Immune checkpoint inhibitors (ICIs) are effective in treating renal cell carcinoma (RCC) but can also cause immune-related adverse events (irAEs). The relationship between irAEs and the T-cell receptor (TCR) repertoire in RCC patients treated with ICIs remains unclear. We analyzed the relationship between the severity and diversity of irAEs and the TCR repertoire in RCC patients who received dual checkpoint inhibitors (ipilimumab + nivolumab). The TCRβ (TRB) repertoires were characterized in peripheral blood samples from six patients with RCC before the initiation of ICI therapy. The diversity and clonality of the TCR repertoire were compared between patients with grade 2 and grade 3 irAEs. The median proportion of top 10 unique reads in the TCR repertoire was significantly higher in grade 3 compared with grade 2 irAEs in RCC patients receiving immune checkpoint inhibitors (grade 2: 0.196%; grade 3: 0.346%;

Indexed as

immune checkpoint inhibitorsipilimumabnivolumabrenal cell carcinomarepertoire analysis

Identifiers

PMID37998738
PMCPMC10670264

What OpenQuestion holds

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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.