Evidence map›Paper›PMID 34551437›Full record

ArticleNucleic acids research2022

CSCD2: an integrated interactional database of cancer-specific circular RNAs.

Jing Feng, Wenbo Chen, Xin Dong, Jun Wang, Xiangfei Mei, Jin Deng, Siqi Yang, Chenjian Zhuo, Xiaoyu Huang, Lin Shao and 8 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing 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

50 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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  9. Article
  10. Review
  11. Article
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  14. Article
  15. Article
  16. Online Databases in Circular RNAs.Advances in experimental medicine and biology · 2025
    Review
  17. Article
  18. Review
  19. Circular RNA in cancer.Nature reviews. Cancer · 2024
    Review
  20. 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

18 authors.

Jing FengSchool of Computer Science, Wuhan University, Wuhan430072, China.
Wenbo ChenSchool of Basic Medical Sciences, Wuhan University, Wuhan430071, China.
Xin DongSchool of Basic Medical Sciences, Wuhan University, Wuhan430071, China.
Jun WangSchool of Basic Medical Sciences, Wuhan University, Wuhan430071, China.
Xiangfei MeiSchool of Basic Medical Sciences, Wuhan University, Wuhan430071, China.
Jin DengSchool of Basic Medical Sciences, Wuhan University, Wuhan430071, China.
Siqi YangSchool of Basic Medical Sciences, Wuhan University, Wuhan430071, China.
Chenjian ZhuoCollege of Biomedicine and Health, Huazhong Agricultural University, Wuhan430070, China.
Xiaoyu HuangSchool of Basic Medical Sciences, Wuhan University, Wuhan430071, China.
Lin ShaoSchool of Basic Medical Sciences, Wuhan University, Wuhan430071, China.
Rongyu ZhangCollege of Biomedicine and Health, Huazhong Agricultural University, Wuhan430070, China.
Jing GuoSchool of Basic Medical Sciences, Wuhan University, Wuhan430071, China.
Ronghui MaCollege of Biomedicine and Health, Huazhong Agricultural University, Wuhan430070, China.
Juan LiuSchool of Computer Science, Wuhan University, Wuhan430072, China.
Feng LiSchool of Basic Medical Sciences, Wuhan University, Wuhan430071, China.
Ying WuSchool of Basic Medical Sciences, Wuhan University, Wuhan430071, China.
Leng HanCenter for Epigenetics and Disease Prevention, Institute of Biosciences and Technology, Texas A&M University, Houston, TX77030, USA.ORCID 0000-0002-7380-2640
Chunjiang HeSchool of Basic Medical Sciences, Wuhan University, Wuhan430071, China.ORCID 0000-0002-4868-331X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The significant function of circRNAs in cancer was recognized in recent work, so a well-organized resource is required for characterizing the interactions between circRNAs and other functional molecules (such as microRNA and RNA-binding protein) in cancer. We previously developed cancer-specific circRNA database (CSCD), a comprehensive database for cancer-specific circRNAs, which is widely used in circRNA research. Here, we updated CSCD to CSCD2 (http://geneyun.net/CSCD2 or http://gb.whu.edu.cn/CSCD2), which includes significantly more cancer-specific circRNAs identified from a large number of human cancer and normal tissues/cell lines. CSCD2 contains >1000 samples (825 tissues and 288 cell lines) and identifies a large number of circRNAs: 1 013 461 cancer-specific circRNAs, 1 533 704 circRNAs from only normal samples and 354 422 circRNAs from both cancer and normal samples. In addition, CSCD2 predicts potential miRNA-circRNA and RBP-circRNA interactions using binding motifs from >200 RBPs and 2000 microRNAs. Furthermore, the potential full-length and open reading frame sequence of these circRNAs were also predicted. Collectively, CSCD2 provides a significantly enhanced resource for exploring the function and regulation of circRNAs in cancer.

Indexed as

Databases, GeneticHumansMicroRNAsNeoplasmsRNA, CircularMicroRNAsRNA, Circular

Identifiers

PMID34551437
PMCPMC8728299

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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.