Evidence map›Paper›PMID 38400838›Full record

ArticleBiomolecules & biomedicine2024

JAM3: A prognostic biomarker for bladder cancer via epithelial-mesenchymal transition regulation.

Zhong-Qi Pang, Jian-She Wang, Jin-Feng Wang, Ya-Xuan Wang, Bo Ji, Yi-Dan Xu, Jia-Xin He, Lu Zhang, Li-Qiu Zhang, Bei-Chen Ding and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Biomolecules & biomedicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
15.5field-weighted citation impact, top 1% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 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

12 authors at 1 institution in 1 country.

Zhong-Qi PangDepartment of Urology, First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Jian-She WangDepartment of Urology, First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Jin-Feng WangDepartment of Urology, First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Ya-Xuan WangDepartment of Urology, First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Bo JiDepartment of Urology, First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Yi-Dan XuDepartment of Urology, First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Jia-Xin HeDepartment of Urology, First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Lu ZhangDepartment of Urology, First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Li-Qiu ZhangTeaching Experiment Center of Biotechnology, Harbin Medical University, Harbin, Heilongjiang, China.
Bei-Chen DingDepartment of Urology, First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Yang LiuDepartment of Urology, First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China; Department of Urology, The Eighth Affiliated Hospital of Sun Yat sen University, Shenzhen, Guangdong, China.
Ming-Hua RenDepartment of Urology, First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the intricate relationship between prognosis, immune function, and molecular markers in bladder cancer (BC) demands sophisticated analytical methods. To identify novel biomarkers for predicting prognosis and immune function in BC patients, we combined weighted gene co-expression network analysis (WGCNA) and least absolute shrinkage and selection operator (LASSO) regression analysis. This was conducted using data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Ultimately, we screened the junctional adhesion molecule 3 (JAM3) as an independent risk factor in BC. High levels of JAM3 were linked to adverse clinical parameters, such as higher T and N stages. Additionally, a JAM3-based nomogram model accurately predicted 1-, 3- and 5-year survival rates of BC patients, indicating potential clinical utility. Functional enrichment analysis revealed that high JAM3 expression activated the calcium signaling pathway, the extracellular matrix (ECM)-receptor interaction, and the PI3K-Akt signaling pathway, and was positively correlated with genes associated with epithelial-mesenchymal transition (EMT). Subsequently, we found that overexpression of JAM3 promoted the migration and invasion abilities in BC cells, regulating the expression levels of N-cadherin, matrix metallopeptidase 2 (MMP2), and Claudin-1 thereby promoting EMT levels. Additionally, we showed that JAM3 was negatively correlated with anti-tumor immune cells such as CD8+ T cells, while positively correlated with pro-tumor immune cells such as M2 macrophages, suggesting its involvement in immune cell infiltration. The immune checkpoint CD200 also showed a positive correlation with JAM3. Our findings revealed that elevated JAM3 levels are predictive of poor prognosis and immune cell infiltration in BC patients by regulating the EMT process.

Indexed as

Biomarkers, TumorCell Adhesion MoleculesEpithelial-Mesenchymal TransitionUrinary Bladder NeoplasmsCell Line, TumorCell MovementFemaleGene Expression Regulation, NeoplasticHumansMaleMiddle AgedPrognosisBiomarkers, TumorCell Adhesion MoleculesJAM3 protein, human

Identifiers

PMID38400838
PMCPMC11293228
OpenAlexW4392651251

What OpenQuestion holds

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Registered trials

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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.