Evidence map›Paper›PMID 34771607›Full record

ArticleCancers2021

Single-Cell Proteomic Analysis Dissects the Complexity of Tumor Microenvironment in Muscle Invasive Bladder Cancer.

Chao Feng, Xi Wang, Yuting Tao, Yuanliang Xie, Zhiyong Lai, Zhijian Li, Jiaxin Hu, Shaomei Tang, Lixin Pan, Liangyu He and 3 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

16 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Review
  15. Article
  16. 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 1 country.

Chao FengCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning 530021, China.
Xi WangCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning 530021, China.
Yuting TaoCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning 530021, China.
Yuanliang XieCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning 530021, China.
Zhiyong LaiCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning 530021, China.
Zhijian LiCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning 530021, China.
Jiaxin HuCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning 530021, China.
Shaomei TangCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning 530021, China.
Lixin PanCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning 530021, China.
Liangyu HeCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning 530021, China.
Qiuyan WangCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning 530021, China.
Tianyu LiCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning 530021, China.
Zengnan MoCenter for Genomic and Personalized Medicine, Guangxi Medical University, Nanning 530021, China.
Guangxi Medical University · CN

Funding

Guangxi Clinical Research Center for Urology and Nephrology 2020AC03006Guangxi Science and Technology Base and Talent Special Fund 2019AC17009, AB18126055, AD17195090, 2016GXNSFGA38006Innovation Project of Guangxi Graduate Education YCBZ2021052National Natural Science Foundation of China 81760454National Natural Science Foundation of China 82060460
6 · The paper itself

Abstract

Muscle invasive bladder cancer (MIBC) is a malignancy with considerable heterogeneity. The MIBC tumor microenvironment (TME) is highly complex, comprising diverse phenotypes and spatial architectures. The complexity of the MIBC TME must be characterized to provide potential targets for precision therapy. Herein, an integrated combination of mass cytometry and imaging mass cytometry was used to analyze tumor cells, immune cells, and TME spatial characteristics of 44 MIBC patients. We detected tumor and immune cell clusters with abnormal phenotypes. In particular, we identified a previously overlooked cancer stem-like cell cluster (ALDH

Indexed as

cancer stem cellimaging mass cytometrymass cytometrymuscle invasive bladder cancertumor microenvironment

Identifiers

PMID34771607
PMCPMC8582554
OpenAlexW3209108209

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.