Evidence map›Paper›PMID 32228629›Full record

ArticleBMC cancer2020

In silico analysis of the immune microenvironment in bladder cancer.

Ye Zhang, De-Hua Ou, Dong-Wu Zhuang, Ze-Feng Zheng, Ming-En Lin

Open access · goldAbstract read
In one paragraph

Article in BMC cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.8field-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

17 citing papers in PubMed, 27 citations in OpenAlex.

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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 2 institutions in 1 country.

Ye ZhangDepartment of Urology, The First Affiliated Hospital of Shantou University Medical College, No. 57, Changping Road, Jinping District, Shantou, Guangdong, China.
De-Hua OuDepartment of Urology, The First Affiliated Hospital of Shantou University Medical College, No. 57, Changping Road, Jinping District, Shantou, Guangdong, China.
Dong-Wu ZhuangDepartment of Urology, The First Affiliated Hospital of Shantou University Medical College, No. 57, Changping Road, Jinping District, Shantou, Guangdong, China.
Ze-Feng ZhengDepartment of Urology, The First Affiliated Hospital of Shantou University Medical College, No. 57, Changping Road, Jinping District, Shantou, Guangdong, China.
Ming-En LinDepartment of Urology, The First Affiliated Hospital of Shantou University Medical College, No. 57, Changping Road, Jinping District, Shantou, Guangdong, China. me_lin20@163.com.
Shantou University Medical College · CNFirst Affiliated Hospital of Shantou University Medical College · CN

Funding

Guangdong Medical Research Foundation A2018103Natural Science Foundation of Guangdong province 2015A030310078Shantou Science and Technology Fund 2017026
6 · The paper itself

Abstract

backgroundInfiltrating immune and stromal cells are vital components of the bladder cancer (BC) microenvironment, which can significantly affect BC progression and outcome. However, the contribution of each subset of tumour-infiltrating immune cells is unclear. The objective of this study was to perform cell phenotyping and transcriptional profiling of the tumour immune microenvironment and analyse the association of distinct cell subsets and genes with BC prognosis.

methodsClinical data of 412 patients with BC and 433 transcription files for normal and cancer tissues were downloaded from The Cancer Genome Atlas. The CIBERSORT algorithm was used to determine the relative abundance of 22 immune cell types in each sample and the ESTIMATE algorithm was used to identify differentially expressed genes within the tumour microenvironment of BC, which were subjected to functional enrichment and protein-protein interaction (PPI) analyses. The association of cell subsets and differentially expressed genes with patient survival and clinical parameters was examined by Cox regression analysis and the Kaplan-Meier method.

resultsResting natural killer cells and activated memory CD4

conclusionTumour-infiltrating immune cells and cancer microenvironment-related genes can affect the outcomes of patients and are likely to be important determinants of both prognosis and response to immunotherapy in BC.

Indexed as

AlgorithmsCD4-Positive T-LymphocytesCD8-Positive T-LymphocytesChemokine CXCL12FibronectinsGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansLymphocyte Specific Protein Tyrosine Kinase p56(lck)Lymphocytes, Tumor-InfiltratingPrognosisReceptors, CXCR4Single-Cell AnalysisSurvival AnalysisTumor MicroenvironmentChemokine CXCL12CXCR4 protein, humanFibronectinsFN1 protein, humanLymphocyte Specific Protein Tyrosine Kinase p56(lck)Receptors, CXCR4Bladder cancerImmune cell infiltrationMicroenvironmentSurvival

Identifiers

PMID32228629
PMCPMC7106767
OpenAlexW3013409519

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.