Evidence map›Paper›PMID 30416748›Full record

ArticleFuture science OA2018

Profiling and bioinformatics analyses of differential circular RNA expression in prostate cancer cells.

Chunlei Zhang, Jun Xiong, Qi Yang, Ye Wang, Haoqing Shi, Qinqin Tian, Hai Huang, Depei Kong, Jianmin Lv, Dan Liu and 3 more

Abstract read
In one paragraph

Article in Future science OA, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
–field-weighted citation impact
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

14 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Circular RNA and its potential as prostate cancer biomarkers.World journal of clinical oncology · 2020
    Review
  12. Article
  13. Review
  14. Article
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

13 authors.

Chunlei ZhangDepartment of Urology, Changhai Hospital, Second Military Medical University, Shanghai, PR China.
Jun XiongDepartment of Urology, Changhai Hospital, Second Military Medical University, Shanghai, PR China.
Qi YangDepartment of Urology, Changhai Hospital, Second Military Medical University, Shanghai, PR China.
Ye WangDepartment of Urology, Changhai Hospital, Second Military Medical University, Shanghai, PR China.
Haoqing ShiDepartment of Urology, Changhai Hospital, Second Military Medical University, Shanghai, PR China.
Qinqin TianDepartment of Urology, Changhai Hospital, Second Military Medical University, Shanghai, PR China.
Hai HuangDepartment of Urology, Changhai Hospital, Second Military Medical University, Shanghai, PR China.
Depei KongDepartment of Urology, Changhai Hospital, Second Military Medical University, Shanghai, PR China.
Jianmin LvDepartment of Urology, Changhai Hospital, Second Military Medical University, Shanghai, PR China.
Dan LiuDepartment of Urology, Changhai Hospital, Second Military Medical University, Shanghai, PR China.
Xu GaoDepartment of Urology, Changhai Hospital, Second Military Medical University, Shanghai, PR China.
Xiaoyuan ZiDepartment of Urology, Changhai Hospital, Second Military Medical University, Shanghai, PR China.
Yinghao SunDepartment of Urology, Changhai Hospital, Second Military Medical University, Shanghai, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThere is little knowledge about the expression profile and function of circular RNAs (circRNAs) in prostate cancer (PCa).

methodsThe expression profiles of circRNAs in RWPE-1, 22RV1 and PC3 cells were explored via high-throughput circRNAs sequencing and validated by real-time qPCR. The roles of differentially expressed circRNAs were evaluated by bioinformatics analyses.

resultsAltogether 9545 circRNAs were identified and hundreds of differentially expressed circRNAs were recognized. CircRNA-miRNA networks analysis showed that many circRNAs, including circSLC7A6, circGUCY1A2 and circZFP57 could cross-talk with tumor-related miRNAs such as miR-21, miR-143 and miR-200 family.

conclusionThe results of our bioinformatics analyses suggested that circRNAs should play critical roles in the development and progression of PCa.

Indexed as

bioinformatics analysescircular RNAhigh-throughput sequencingnoncoding RNAprostate cancer

Identifiers

PMID30416748
PMCPMC6222276

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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.