Evidence map›Paper›PMID 33813769›Full record

ArticleJournal of clinical laboratory analysis2021

A combination of ssGSEA and mass cytometry identifies immune microenvironment in muscle-invasive bladder cancer.

Xi Wang, Lixin Pan, Qinchen Lu, Haoxuan Huang, Chao Feng, Yuting Tao, Zhijian Li, Jiaxin Hu, Zhiyong Lai, Qiuyan Wang and 3 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical laboratory analysis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Frontiers in genetics · 2022
    Article
  9. 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

13 authors at 1 institution in 2 countries.

Xi WangCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China.ORCID https://orcid.org/0000-0003-3566-4192
Lixin PanCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China.
Qinchen LuCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China.
Haoxuan HuangCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China.
Chao FengCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China.
Yuting TaoCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China.
Zhijian LiCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China.ORCID https://orcid.org/0000-0003-1979-2645
Jiaxin HuCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China.
Zhiyong LaiCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China.
Qiuyan WangCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China.
Zhong TangSchool of Information and Management, Guangxi MedicalUniversity, Nanning, China.
Yuanliang XieCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China.
Tianyu LiCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China.
Guangxi Medical University · CN

Funding

Guangxi Clinical Research Center for Urology and Nephrology 2020AC03006Guangxi Natural Science Fund for Innovation Research Team 2016GXNSFGA38006Guangxi Science and Technology Base and Talent Special Fund 2019AC17009Guangxi Science and Technology Base and Talent Special Fund AD17195090National Natural Science Foundation of China 81760454National Natural Science Foundation of China 82060460Youth Science Foundation of Guangxi Medical University GXMUYSF202108
6 · The paper itself

Abstract

backgroundMuscle-invasive bladder cancer (MIBC) is a heterogeneous disease with varying clinical courses and responses to treatment. To improve the prognosis of patients, it is necessary to understand such heterogeneity.

methodsWe used single-sample gene set enrichment analysis to classify 35 MIBC cases into immunity-high and immunity-low groups. Bioinformatics analyses were conducted to compare the differences between these groups. Eventually, single-cell mass cytometry (CyTOF) was used to compare the characteristics of the immune microenvironment between the patients in the two groups.

resultsCompared with patients in the immunity-low group, patients in the immunity-high group had a higher number of tumor-infiltrating immune cells and greater enrichment of gene sets associated with antitumor immune activity. Furthermore, positive immune response-related pathways were more enriched in the immunity-high group. We identified 26 immune cell subsets, including cytotoxic T cells (Tcs), helper T cells (Ths), regulatory T cells (Tregs), B cells, macrophages, natural killer (NK) cells, and dendritic cells (DCs) using CyTOF. Furthermore, there was a higher proportion of CD45+ lymphocytes and enrichment of one Tc subset in the immunity-high group. Additionally, M2 macrophages were highly enriched in the immunity-low group. Finally, there was higher expression of PD-1 and Tim-3 on Tregs as well as a higher proportion of PD-1+ Tregs in the immunity-low group than in the immunity-high group.

conclusionIn summary, the immune microenvironments of the immunity-high and immunity-low groups of patients with MIBC are heterogeneous. Specifically, immune suppression was observed in the immune microenvironment of the patients in the immunity-low group.

Indexed as

Flow CytometryGene Expression ProfilingGene Expression Regulation, NeoplasticHumansImmunophenotypingImmunosuppression TherapyMusclesNeoplasm InvasivenessTumor MicroenvironmentUrinary Bladder Neoplasmsimmune microenvironmentmass cytometrymuscle-invasive bladder cancerssGSEAtumor heterogeneity

Identifiers

PMID33813769
PMCPMC8128294
OpenAlexW3141107435

What OpenQuestion holds

Textmetadata
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.