Evidence map›Paper›PMID 40367012›Full record

ArticleBrazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica2025

Single-cell analysis reveals potential therapeutic markers of peripheral blood mononuclear cells from bladder cancer patients.

Xingning Mao, Rirong Yang, Yunkun Yan, Yanyu Zeng, Mengying Bao, Rong Huang, Yan Dai, Qingyun Zhang, Yu Ye, Jiwen Cheng and 2 more

Abstract read
In one paragraph

Article in Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Xingning MaoCenter for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China.ORCID http://orcid.org/0000-0002-9250-5342
Rirong YangCenter for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China.ORCID http://orcid.org/0000-0003-1571-5925
Yunkun YanInstitute of Urology and Nephrology, First Affiliated Hospital of Guangxi Medical University, Guangxi Medical University, Nanning, Guangxi, China.ORCID http://orcid.org/0000-0001-9265-4623
Yanyu ZengCenter for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China.ORCID http://orcid.org/0000-0001-9523-9935
Mengying BaoCenter for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China.ORCID http://orcid.org/0000-0003-0258-1059
Rong HuangDepartment of Immunology, School of Basic Medical Sciences, Guangxi Medical University, Nanning, Guangxi, China.ORCID http://orcid.org/0000-0003-2350-5557
Yan DaiEmergency Department, the Second Affiliated Hospital of Guangxi Medical University, Guangxi Medical University, Nanning, Guangxi, China.ORCID http://orcid.org/0000-0001-7650-5281
Qingyun ZhangInstitute of Urology and Nephrology, First Affiliated Hospital of Guangxi Medical University, Guangxi Medical University, Nanning, Guangxi, China.ORCID http://orcid.org/0000-0002-7269-7009
Yu YeInstitute of Urology and Nephrology, First Affiliated Hospital of Guangxi Medical University, Guangxi Medical University, Nanning, Guangxi, China.ORCID http://orcid.org/0009-0009-5564-1589
Jiwen ChengCenter for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China.ORCID http://orcid.org/0000-0002-0599-1099
Zengnan MoCenter for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China.ORCID http://orcid.org/0000-0002-3047-3138
Haiying ZhangCenter for Genomic and Personalized Medicine, Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, Guangxi, China.ORCID http://orcid.org/0000-0002-3823-7498

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bladder cancer is the most prevalent malignancy of the urinary tract, with significant advancements in treatment achieved over recent decades. Nonetheless, the immunological mechanisms underlying bladder cancer progression remain elusive, and only a limited number of patients derive benefit from current immune checkpoint inhibitors. Here, we conducted a single-cell RNA sequencing analysis of 44,022 cells from peripheral blood mononuclear cell samples of bladder cancer patients and a healthy donor. Our findings indicated that the proportions of T cells and neutrophils are higher in bladder cancer patients than in the healthy donor. LAG3, HAVCR2, and CTLA4 had elevated expression levels in CD8-T2-GZMK cell clusters from patients. CD8-T7-STMN1 cells highly expressed ITGAE, CD38, and STMN1. Furthermore, NK3-CMC1, more prevalent in patients, showed a high expression of TIGIT. Additionally, Bcell2-TCL1A and Bcell3-MS4A1 were characterized by the high expression of inhibitory receptor marker genes. Gene set variation analysis suggested that Mono4-THBS1 may play a role in promoting tumor hypoxia and angiogenesis. Neu-FCGR3B exhibited high levels of IL4R and CD274 expression. Our study indicated that LAG-3 and TIM-3 may serve as novel potential immune checkpoint inhibitors in bladder cancer treatment. The phenotypes of NK3-CMC1, Bcell2-TCL1A, and Bcell3-MS4A1 might be altered by tumor progression. Mono4-THBS1 could potentially be a source of tumor-enriched monocyte-like cells. Neu-FCGR3B may play a detrimental role in the anti-tumor response and could emerge as a predictive marker for bladder cancer. Overall, these high-resolution transcriptomic data offer invaluable insights for identifying new therapeutic targets and biomarkers in bladder cancer immunotherapy.

Indexed as

Biomarkers, TumorLeukocytes, MononuclearSingle-Cell AnalysisUrinary Bladder NeoplasmsAgedAntigens, CDCase-Control StudiesFemaleHepatitis A Virus Cellular Receptor 2HumansMaleMiddle AgedSequence Analysis, RNAAntigens, CDBiomarkers, TumorHAVCR2 protein, humanHepatitis A Virus Cellular Receptor 2

Identifiers

PMID40367012
PMCPMC12068768

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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.