Evidence map›Paper›PMID 32292720›Full record

ArticleFrontiers in oncology2020

Gene Expression Profiles Identified Novel Urine Biomarkers for Diagnosis and Prognosis of High-Grade Bladder Urothelial Carcinoma.

Yuxuan Song, Donghui Jin, Ningjing Ou, Zhiwen Luo, Guangyuan Chen, Jingyi Chen, Yongjiao Yang, Xiaoqiang Liu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
4.7field-weighted citation impact, top 4% 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

16 citing papers in PubMed, 24 citations in OpenAlex.

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  10. Medicina (Kaunas, Lithuania) · 2023
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  14. Expression and prognostic value of SULT1A2 in bladder cancer.Experimental and therapeutic medicine · 2021
    Article
  15. 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

8 authors at 5 institutions in 1 country.

Yuxuan SongDepartment of Urology, Tianjin Medical University General Hospital, Tianjin, China.
Donghui JinDepartment of Cardiothoracic Surgery, Tianjin Medical University General Hospital, Tianjin, China.
Ningjing OuDepartment of Urology, Tianjin Medical University General Hospital, Tianjin, China.
Zhiwen LuoDepartment of Hepatobiliary Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Guangyuan ChenThe Second Clinical Medical School, Nanchang University, Nanchang, China.
Jingyi ChenDepartment of Gastroenterology and Institute of Clinical Molecular Biology, Peking University People's Hospital, Beijing, China.
Yongjiao YangDepartment of Urology, The Second Hospital of Tianjin Medical University, Tianjin, China.
Xiaoqiang LiuDepartment of Urology, Tianjin Medical University General Hospital, Tianjin, China.
Tianjin Medical University General Hospital · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNPeking University People's Hospital · CNSecond Affiliated Hospital of Nanchang University · CNTianjin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bladder urothelial carcinoma (BC) has been identified as one of the most common malignant neoplasm worldwide. High-grade bladder urothelial carcinoma (HGBC) is aggressive with a high risk of recurrence, progression, metastasis, and poor prognosis. Therefore, HGBC clinical management is still a challenge. We performed the present study to seek new urine biomarkers for HGBC and investigate how they promote HGBC progression and thus affect the prognosis based on large-scale sequencing data. We identified the overlapped differentially expressed genes (DEGs) by combining GSE68020 and The Cancer Genome Atlas (TCGA) datasets. Subsequent receiver operating characteristic (ROC) curves, Kaplan-Meier (KM) curves, and Cox regression were conducted to test the diagnostic and prognostic role of the hub genes. Chi-square test and logistic regression were carried out to analyze the associations between clinicopathologic characteristics and the hub genes. Ultimately, we performed gene set enrichment analysis (GSEA), protein-protein interaction (PPI) networks, and Bayesian networks (BNs) to explore the underlying mechanisms by which ECM1, CRYAB, CGNL1, and GPX3 are involved in tumor progression. Immunohistochemistry based on The Human Protein Atlas and quantitative real-time polymerase chain reaction based on urine samples confirmed the downregulation and diagnostic values of the hub genes in HGBC. In conclusion, our study indicated that CRYAB, CGNL1, ECM1, and GPX3 are potential urine biomarkers of HGBC. These four novel urine biomarkers will have attractive applications to provide new diagnostic methods, prognostic predictors and treatment targets for HGBC, which could improve the prognosis of HGBC patients, if validated by further experiments and larger prospective clinical trials.

Indexed as

biomarkerbladder urothelial cancerdiagnosisGEOprognosisTCGAurine

Identifiers

PMID32292720
PMCPMC7118735
OpenAlexW3013859953

What OpenQuestion holds

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LicenceCC BY
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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.