Evidence map›Paper›PMID 37383920›Full record

ArticleWorld journal of clinical cases2023

Establishment of a prognostic model related to tregs and natural killer cells infiltration in bladder cancer.

Yan-Jie Yang, Xiao-Qing Xu, Yi-Chao Zhang, Peng-Cheng Hu, Wu-Xia Yang

Open access · diamondAbstract read
In one paragraph

Article in World journal of clinical cases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Article
  5. 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

5 authors at 1 institution in 1 country.

Yan-Jie YangShunde Hospital, Southern Medical University (The First People's Hospital of Shunde), Foshan 528308, Guangdong Province, China.
Xiao-Qing XuThe Graduate School, Tianjin Medical University, Tianjin 300041, China.
Yi-Chao ZhangThe Graduate School, Qinghai University, Xi'ning 810000, Qinghai Province, China.
Peng-Cheng HuDepartment of Ophthalmology, The Second Affiliated Hospital of Chongqing Medical University, Chongqing 400010, China.
Wu-Xia YangThe Graduate School/Department of Traditional Chinese Medicine, Tianjin Medical University/Tianjin Medical University General Hospital, Tianjin 300041, China. yangwuxia_09@tmu.edu.cn.
Second Affiliated Hospital of Chongqing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRegulatory T cells (Tregs) and natural killer (NK) cells play an essential role in the development of bladder urothelial carcinoma (BUC).

aimTo construct a prognosis-related model to judge the prognosis of patients with bladder cancer, meanwhile, predict the sensitivity of patients to chemotherapy and immunotherapy.

methodsBladder cancer information data was obtained from The Cancer Genome Atlas and GSE32894. The CIBERSORT was used to calculate the immune score of each sample. Weighted gene co-expression network analysis was used to find genes that will have the same or similar expression patterns. Subsequently, multivariate cox regression and lasso regression was used to further screen prognosis-related genes. The prrophetic package was used to predict phenotype from gene expression data, drug sensitivity of external cell line and predict clinical data.

resultsThe stage and risk scores are independent prognostic factors in patients with BUC. Mutations in

conclusionPrognosis-related models of bladder tumor patients, based on Treg and NK cell percolation in tumor tissue. In addition to judging the prognosis of patients with bladder cancer, it can also predict the sensitivity of patients to chemotherapy and immunotherapy. At the same time, patients were divided into high and low risk groups based on this model, and differences in genetic mutations were found between the high and low risk groups.

Indexed as

Bladder cancerBladder cancer treatmentComputational molecular biologyImmunotherapyNatural killer cellsTregsWeighted gene coexpression network analysis

Identifiers

PMID37383920
PMCPMC10294199
OpenAlexW4377981865

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.