Evidence map›Paper›PMID 32509077›Full record

ArticleInternational journal of clinical and experimental pathology2020

Differential expression profiles of circRNAs in human prostate cancer based on chip and bioinformatic analysis.

Shengyang Ge, Chuanyu Sun, Qingfeng Hu, Yijun Guo, Guowei Xia, Yuanyuan Mi, Lijie Zhu

Open access · greenAbstract read
In one paragraph

Article in International journal of clinical and experimental pathology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.8field-weighted citation impact, top 29% 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, 15 citations in OpenAlex.

  1. Review
  2. The relevance of circRNAs in serum of patients undergoing prostate biopsy.International journal of urology : official journal of the Japanese Urological Association · 2024
    Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Frontiers in genetics · 2021
    Article
  9. 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

7 authors at 1 institution in 1 country.

Shengyang GeDepartment of Urology, Huashan Hospital, Fudan University Shanghai, P. R. China.
Chuanyu SunDepartment of Urology, Huashan Hospital, Fudan University Shanghai, P. R. China.
Qingfeng HuDepartment of Urology, Huashan Hospital, Fudan University Shanghai, P. R. China.
Yijun GuoDepartment of Urology, Shanghai Jing'an District Central Hospital (Jing'an Branch of Huashan Hospital Affiliated to Fudan University) Shanghai, P. R. China.
Guowei XiaDepartment of Urology, Huashan Hospital, Fudan University Shanghai, P. R. China.
Yuanyuan MiDepartment of Urology, Affiliated Hospital of Jiangnan University Wuxi, P. R. China.
Lijie ZhuDepartment of Urology, Affiliated Hospital of Jiangnan University Wuxi, P. R. China.
Fudan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIncreasing evidence suggests that circRNAs are involved in the pathogenesis of multiple kinds of cancer. Nevertheless, the differential expression of circRNAs in prostate cancer (PCA) is rarely reported. MATERIAL/

methodIn our present analyses, circRNAs expression profiles were identified in PCA, based on 5 pairs of PCA and matched non-PCA tissues using circRNA chips.

resultsA number of 749 differential circRNAs were expressed between PCA tumor and paracancerous tissues (Fold Change, FC ≥ 2.0 and

conclusionsOur study detected a relative comprehensive differential map of circRNAs in PCA, which may become novel biomarkers for diagnosis, treatment and follow-up in the future.

Indexed as

circRNAexpressionmicroarrayProstate cancer

Identifiers

PMID32509077
PMCPMC7270690
OpenAlexW3033483943

What OpenQuestion holds

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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.