Evidence map›Paper›PMID 26700620›Full record

ArticleOncotarget2016

An epigenetic biomarker combination of PCDH17 and POU4F2 detects bladder cancer accurately by methylation analyses of urine sediment DNA in Han Chinese.

Yongqiang Wang, Yuan Yu, Rui Ye, Duo Zhang, Qiaoling Li, Dan An, Lu Fang, Youcheng Lin, Yong Hou, Abai Xu and 15 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
6.2field-weighted citation impact, top 3% 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

35 citing papers in PubMed, 66 citations in OpenAlex.

  1. Article
  2. Review
  3. Impacts ofBiomedicines · 2023
    Article
  4. Article
  5. Review
  6. Review
  7. The Role of Novel Bladder Cancer Diagnostic and Surveillance Biomarkers-What Should a Urologist Really Know?International journal of environmental research and public health · 2022
    Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Circulating miRNAs Act as Diagnostic Biomarkers for Bladder Cancer in Urine.International journal of molecular sciences · 2021
    Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. A Multiplex Test AssessingJournal of clinical medicine · 2020
    Article
  19. Review
  20. Review
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

25 authors at 12 institutions in 1 country.

Yongqiang WangDepartment of Urology, Sun Yat-sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Guangzhou, 510060, China.
Yuan YuBGI-Shenzhen, Shenzhen 518083, China.
Rui YeBGI-Shenzhen, Shenzhen 518083, China.
Duo ZhangBGI-Shenzhen, Shenzhen 518083, China.
Qiaoling LiBGI-Shenzhen, Shenzhen 518083, China.
Dan AnBGI-Shenzhen, Shenzhen 518083, China.
Lu FangAnhui Medical University, Hefei 230032, China.
Youcheng LinDepartment of Urology, Zhujiang Hospital of Southern Medical University, Guangzhou 510280, China.
Yong HouBGI-Shenzhen, Shenzhen 518083, China.
Abai XuDepartment of Urology, Zhujiang Hospital of Southern Medical University, Guangzhou 510280, China.
Yu FuThe Second People's Hospital of Guangdong Province, Guangzhou 510310, China.
Wei LuAnhui Medical University, Hefei 230032, China.
Xin ChenDepartment of Urology, Sun Yat-sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Guangzhou, 510060, China.
Mingwei ChenAnhui Medical University, Hefei 230032, China.
Meng ZhangAnhui Medical University, Hefei 230032, China.
Huiling JiangThe First Affiliated Hospital, Sun Yat-Sen University, Guangzhou 510080, China.
Chuanxia ZhangZhongshan School of Medicine, Sun Yat-Sen University, Guangzhou 510080, China.
Pei DongDepartment of Urology, Sun Yat-sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Guangzhou, 510060, China.
Chong LiCAS Key Laboratory of Infection and Immunity, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China.
Jun ChenThe Third Affiliated Hospital, Sun Yat-Sen University, Guangzhou 510630, China.
Guosheng YangThe Second People's Hospital of Guangdong Province, Guangzhou 510310, China.
Chunxiao LiuDepartment of Urology, Zhujiang Hospital of Southern Medical University, Guangzhou 510280, China.
Zhiming CaiDepartment of Urological Surgery, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen 518000, China.
Fangjian ZhouDepartment of Urology, Sun Yat-sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Guangzhou, 510060, China.
Song WuThe Affiliated Luohu Hospital of Shenzhen University, Shenzhen Luohu Hospital Group, Shenzhen 518000, China.
BGI Group (China) · CNAnhui Medical University · CNGuangdong Provincial People's Hospital · CNShenzhen Luohu People's Hospital · CNSouthern Medical University · CNSun Yat-sen University · CNSun Yat-sen University Cancer Center · CNChinese Academy of Sciences · CNShenzhen Second People's Hospital · CNThe First Affiliated Hospital, Sun Yat-sen University · CNThird Affiliated Hospital of Sun Yat-sen University · CNZhujiang Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To develop a routine and effectual procedure of detecting bladder cancer (BlCa), an optimized combination of epigenetic biomarkers that work synergistically with high sensitivity and specificity is necessary. In this study, methylation levels of seven biomarkers (EOMES, GDF15, NID2, PCDH17, POU4F2, TCF21, and ZNF154) in 148 individuals-which including 58 urothelial cell carcinoma (UCC) patients, 20 infected urinary calculi (IUC) patients, 20 kidney cancer (KC) patients,20 prostate cancer (PC) patients, and 30 healthy volunteers (HV)-were quantified by qMSP using the urine sediment DNA. Receiver operating characteristic (ROC) curves were generated for each biomarker. The combining predictors of possible combinations were calculated through logistic regression model. Subsequently, ROC curves of the three best performing combinations were constructed. Then, we validated the three best performing combinations and POU4F2 in another 72 UCC, 21 IUC, 26 KC and 22 PC, and 23 HV urine samples. The combination of POU4F2/PCDH17 has yielded the highest sensitivity and specificity of 90.00% and 93.96% in all the 312 individuals, showing the capability of detecting BlCa effectively among pathologically varied sample groups.

Indexed as

Biomarkers, TumorCadherinsChinaDNADNA MethylationHumansKidney NeoplasmsMaleProstatic NeoplasmsSensitivity and SpecificityTranscription Factor Brn-3BUrinary Bladder NeoplasmsUrinary CalculiUrotheliumBiomarkers, TumorCadherinsDNAPCDH17 protein, humanPOU4F2 protein, humanTranscription Factor Brn-3Bbiomarkersbladder cancerepigeneticsmethylationqMSP

Identifiers

PMID26700620
PMCPMC4823069
OpenAlexW2214846831

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.