Evidence map›Paper›PMID 30881501›Full record

ArticleOncology letters2019

Determination of the complexity and diversity of the TCR β-chain CDR3 repertoire in bladder cancer using high-throughput sequencing.

Jingsheng Ma, Guoping Sun, Peng Zhu, Song Liu, Minglin Ou, Zhiqiang Chen, Chang Zou, Frank Leing Chan, Yong Dai, Weiguo Sui

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.5field-weighted citation impact, top 32% 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

10 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. A TCRVβ6Journal of cellular and molecular medicine · 2023
    Article
  8. Article
  9. Article
  10. 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

10 authors at 4 institutions in 1 country.

Jingsheng MaNephrology Department, Guangxi Key Laboratory of Metabolic Diseases Research, Guilin No. 181 Hospital (The Affiliated Guilim Hospital of Southern Medical University), Guilin, Guangxi 541002, P.R. China.
Guoping SunCentral Laboratory of Shenzhen Pingshan People's Hospital, Shenzhen, Guangdong 518118, P.R. China.
Peng ZhuCentral Laboratory of Shenzhen Pingshan People's Hospital, Shenzhen, Guangdong 518118, P.R. China.
Song LiuClinical Medical Research Center of The Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Shenzhen, Guangdong 518020, P.R. China.
Minglin OuClinical Medical Research Center of The Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Shenzhen, Guangdong 518020, P.R. China.
Zhiqiang ChenClinical Medical Research Center of The Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Shenzhen, Guangdong 518020, P.R. China.
Chang ZouClinical Medical Research Center of The Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Shenzhen, Guangdong 518020, P.R. China.
Frank Leing ChanCancer Biology and Experimental Therapeutics, School of Biomedical Sciences, The Chinese University of Hong Kong, SAR, P.R. China.
Yong DaiClinical Medical Research Center of The Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Shenzhen, Guangdong 518020, P.R. China.
Weiguo SuiNephrology Department, Guangxi Key Laboratory of Metabolic Diseases Research, Guilin No. 181 Hospital (The Affiliated Guilim Hospital of Southern Medical University), Guilin, Guangxi 541002, P.R. China.
Jinan University · CNShenZhen People’s Hospital · CNSouthern Medical University · CNChinese University of Hong Kong · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study aimed to investigate the complexity and diversity of the T lymphocyte immune repertoire in patients with bladder cancer. To do so, the immune state of patients was assessed. The study also aimed to elucidate the aetiology and pathogenesis of bladder cancer to provide a novel theoretical basis for disease prevention, diagnosis, treatment and prognosis monitoring. Cancerous and paracancerous (control) tissue samples were collected from five patients diagnosed with muscle-invasive bladder cancer. Multiplex polymerase chain reaction and Illumina high-throughput sequencing were used to determine the characteristics and clonal diversity of the T-cell receptor (TCR) β-chain complementarity-determining region 3 (CDR3) gene in the cancerous and paracancerous tissues of patients with bladder cancer. The degree of clonal expansion in malignant samples was significantly higher than in adjacent samples. Furthermore, ΤCRβ variable (TRBV), ΤCRβ diversity (TRBD) and ΤCRβ joining (TRBJ) repertoires were significantly different in cancerous samples compared with adjacent samples. In addition, 13 identified V-J pairs were highly expressed in cancerous samples whereas they had low expression in control samples. In conclusion, the degree of T-cell clonal expansion in bladder cancerous tissue was higher than in paracancerous tissue, whereas the immune diversity of the tissues of patients with bladder cancer was significantly lower. The DNA sequence and amino acid sequences, and V-J combination level may be used to comprehensively understand the diversity and characteristics of TCR CDR3 in bladder cancer and paracancerous tissues, and to evaluate the immune status of bladder cancer to develop therapeutic targets and biomarkers for prognosis monitoring.

Indexed as

bladder cancerhigh-throughput sequencingimmune repertoireT-cell receptortumour-infiltrating lymphocytes

Identifiers

PMID30881501
PMCPMC6403507
OpenAlexW2914501802

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.