Evidence map›Paper›PMID 37550396›Full record

ArticleScientific reports2023

Specific subsets of urothelial bladder carcinoma infiltrating T cells associated with poor prognosis.

Rui Guo, Luyao Wang, Suhang Bai, Danyue Kang, Wei Zhang, Zhenshan Ding, Tianying Xing, Mingxuan Hao, Youfeng Liang, Binbin Jiao and 10 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.6field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. 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

20 authors at 8 institutions in 2 countries.

Rui Guo *College of Life Science and Technology, Innovation Center of Molecular Diagnostics, Beijing University of Chemical Technology, Beijing, 100029, China.
Luyao Wang *College of Life Science and Technology, Innovation Center of Molecular Diagnostics, Beijing University of Chemical Technology, Beijing, 100029, China.
Suhang Bai *College of Life Science and Technology, Innovation Center of Molecular Diagnostics, Beijing University of Chemical Technology, Beijing, 100029, China.
Danyue KangCollege of Veterinary Medicine, The Ohio State University, Columbus, OH, 43210, USA.
Wei ZhangDepartment of Urology, The Affiliated Hospital of Hebei University, Baoding, 071030, China.
Zhenshan DingDepartment of Urology, China-Japan Friendship Hospital, Beijing, 100029, China.
Tianying XingDepartment of Urology, Xuanwu Hospital, Capital Medical University, Beijing, 100053, China.
Mingxuan HaoCollege of Life Science and Technology, Innovation Center of Molecular Diagnostics, Beijing University of Chemical Technology, Beijing, 100029, China.
Youfeng LiangCollege of Life Science and Technology, Innovation Center of Molecular Diagnostics, Beijing University of Chemical Technology, Beijing, 100029, China.
Binbin JiaoDepartment of Urology, The Affiliated Hospital of Hebei University, Baoding, 071030, China.
Guan ZhangDepartment of Urology, The Affiliated Hospital of Hebei University, Baoding, 071030, China.
Lu YingCollege of Life Science and Technology, Innovation Center of Molecular Diagnostics, Beijing University of Chemical Technology, Beijing, 100029, China.
Ruolan ChenCollege of Life Science and Technology, Innovation Center of Molecular Diagnostics, Beijing University of Chemical Technology, Beijing, 100029, China.
Xiaoyang ChenCollege of Life Science and Technology, Innovation Center of Molecular Diagnostics, Beijing University of Chemical Technology, Beijing, 100029, China.
Wenjing ZhangCollege of Life Science and Technology, Innovation Center of Molecular Diagnostics, Beijing University of Chemical Technology, Beijing, 100029, China.
Jiansong WangDepartment of Urology, The Second Affliated Hospital of Kunming Medical University, Kunming, 650101, China.
Chuanxing WanCollege of Life Science and Technology, Key Laboratory of Protection and Utilization of Biological Resources in Tarim Basin of Xinjiang Production and Construction Corps, Tarim University, Alar, 843300, Xinjiang, China.
Changyuan YuCollege of Life Science and Technology, Innovation Center of Molecular Diagnostics, Beijing University of Chemical Technology, Beijing, 100029, China.
Haifeng WangDepartment of Urology, The Second Affliated Hospital of Kunming Medical University, Kunming, 650101, China. highphone@126.com.
Zhao YangCollege of Life Science and Technology, Innovation Center of Molecular Diagnostics, Beijing University of Chemical Technology, Beijing, 100029, China. yangzhao@mail.buct.edu.cn.
Beijing University of Chemical Technology · CNAffiliated Hospital of Hebei University · CNCapital Medical University · CNChina-Japan Friendship Hospital · CNKunming Medical University · CNTarim University · CNThe Ohio State University · USXinjiang Production and Construction Corps · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Comprehensive investigation of tumor-infiltrating lymphocytes in cancer is crucial to explore the effective immunotherapies, but the composition of infiltrating T cells in urothelial bladder carcinoma (UBC) remains elusive. Here, single-cell RNA sequencing (scRNA-seq) were performed on total 30,905 T cells derived from peripheral blood, adjacent normal and tumor tissues from two UBC patients. We identified 18 distinct T cell subsets based on molecular profiles and functional properties. Specifically, exhausted T (T

Indexed as

Carcinoma, Transitional CellUrinary Bladder NeoplasmsCD8-Positive T-LymphocytesHumansKi-67 AntigenLymphocytes, Tumor-InfiltratingPrognosisTumor MicroenvironmentUrinary BladderKi-67 Antigen

Identifiers

PMID37550396
PMCPMC10406853
OpenAlexW4385638304

What OpenQuestion holds

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LicenceCC BY
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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.