Evidence map›Paper›PMID 36131343›Full record

ArticleBMC urology2022

CDH1 overexpression predicts bladder cancer from early stage and inversely correlates with immune infiltration.

Tao Fan, Liang Xue, Bingzheng Dong, Houguang He, Wenda Zhang, Lin Hao, Weiming Ma, Guanghui Zang, Conghui Han, Yang Dong

Open access · goldAbstract read
In one paragraph

Article in BMC urology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
2.0field-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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Bladder cancer biomarkers.Exploration of targeted anti-tumor therapy · 2025
    Review
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  6. Review
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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

10 authors at 3 institutions in 1 country.

Tao Fan *Department of Clinical Medicine, Xuzhou Medical University, Xuzhou, China.
Liang Xue *Department of Urology, Xuzhou Central Hospital, Jiefang South Road, No. 199, Xuzhou, Jiangsu, China.
Bingzheng Dong *Department of Urology, Xuzhou Central Hospital, Jiefang South Road, No. 199, Xuzhou, Jiangsu, China.
Houguang He *Department of Clinical Medicine, Xuzhou Medical University, Xuzhou, China.
Wenda ZhangDepartment of Clinical Medicine, Xuzhou Medical University, Xuzhou, China.
Lin HaoDepartment of Clinical Medicine, Xuzhou Medical University, Xuzhou, China.
Weiming MaDepartment of Urology, Xuzhou Central Hospital, Jiefang South Road, No. 199, Xuzhou, Jiangsu, China.
Guanghui ZangDepartment of Urology, Xuzhou Central Hospital, Jiefang South Road, No. 199, Xuzhou, Jiangsu, China.
Conghui HanDepartment of Clinical Medicine, Xuzhou Medical University, Xuzhou, China. hanchdoctor@st.btbu.edu.cn.
Yang DongDepartment of Urology, Xuzhou Central Hospital, Jiefang South Road, No. 199, Xuzhou, Jiangsu, China. ydong0802@stu.suda.edu.cn.
Xuzhou Central Hospital · CNSoochow University · CNXuzhou Medical College · CN

Funding

High-level health talents "Six One Project" top talents LGY2019058Jiangsu Medical Innovation Team CXTDA-2017-48Key Projects of Jiangsu Science and Technology Plan BE2019637Key Projects of Jiangsu Science and Technology Plan BE2020758the Backbone of Clinical technical training program of Xuzhou 2020GG019the Key Project of Xuzhou Science and Technology KC18036the Key Project of Xuzhou Science and Technology KC19075Xuzhou Medical Outstanding Talents YXJCRC-2017-02Young Medicine and Technology Innovation Project of Xuzhou XWKYSL20210277
6 · The paper itself

Abstract

backgroundBladder cancer (BC) seriously endangers public health, but effective biomarkers for BC diagnosis, particularly in the early stage, are still lacking. Identification of reliable biomarkers associated with early-stage BC is of great importance to early treatment and an improved outcome.

methodsDifferentially expressed genes (DEGs) were identified using four publicly available early-stage BC gene-expression profiles. Protein-protein interaction (PPI) and survival analysis for hub genes was evaluated. The correlation between methylation of genes and prognosis was evaluated using the MethSurv database. Co-expressed genes were explored using Cancer Cell Line Encyclopedia database and the corresponding expression were assessed in vitro. The competing endogenous RNA network and the immune cell infiltration in BC were generated using data of The Cancer Genome Atlas.

resultsTen hub genes of the 213 integrated DEGs were identified, including CDH1, IGFBP3, PPARG, SDC1, EPCAM, ACTA2, COL3A1, TPM1, ACTC1, and ACTN1. CDH1 appeared to increase from tumor initiation stage and negatively correlated with methylation. Six methylated sites in CDH1 indicated a good prognosis and one site indicated an aberrant prognosis. High CDH1 expression was negatively correlated with infiltrations by most immune cells, such as plasmacytoid dendritic cells (pDCs), regulatory T cells, macrophages, neutrophils, DCs, and natural killer cells. CDH1 was highly positively correlated with EPCAM and appeared to be directly regulated by miR-383.

conclusionsThe identified oncogenic alterations provide theoretical support for the development of novel biomarkers to advance early-stage BC diagnosis and personalized therapy.

Indexed as

MicroRNAsUrinary Bladder NeoplasmsAntigens, CDCadherinsEpithelial Cell Adhesion MoleculeGene Expression ProfilingGene Expression Regulation, NeoplasticHumansPPAR gammaAntigens, CDCadherinsCDH1 protein, humanEpithelial Cell Adhesion MoleculeMicroRNAsMIRN383 microRNA, humanPPAR gammaBiomarkerBladder cancerCDH1Immune infiltrationMethylation

Identifiers

PMID36131343
PMCPMC9494810
OpenAlexW4296713996

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.