Evidence map›Paper›PMID 37897359›Full record

ArticleNucleic acids research2024

circRNADisease v2.0: an updated resource for high-quality experimentally supported circRNA-disease associations.

Zhi-Yan Sun, Chang-Lin Yang, Li-Jie Huang, Zong-Chao Mo, Ke-Nan Zhang, Wen-Hua Fan, Kuan-Yu Wang, Fan Wu, Ji-Guang Wang, Fan-Lin Meng and 2 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Predicting circRNA-Drug Sensitivity Using Integrated Hybrid Graph and Molecular Features.Interdisciplinary sciences, computational life sciences · 2026
    Article
  2. Article
  3. Article
  4. Overview of circular RNA databases and other resources.Nature reviews. Molecular cell biology · 2026
    Article
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  15. Article
  16. Review
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  18. Article
  19. Online Databases in Circular RNAs.Advances in experimental medicine and biology · 2025
    Review
  20. Circular RNA in cancer.Nature reviews. Cancer · 2024
    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

12 authors.

Zhi-Yan SunBeijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China.
Chang-Lin YangBeijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China.
Li-Jie HuangBeijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China.
Zong-Chao MoSIAT-HKUST Joint Laboratory of Cell Evolution and Digital Health, HKUST Shenzhen-Hong Kong Collaborative Innovation Research Institute, Shenzhen 518045, China.
Ke-Nan ZhangBeijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China.
Wen-Hua FanBeijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China.
Kuan-Yu WangBeijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China.
Fan WuBeijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China.
Ji-Guang WangSIAT-HKUST Joint Laboratory of Cell Evolution and Digital Health, HKUST Shenzhen-Hong Kong Collaborative Innovation Research Institute, Shenzhen 518045, China.ORCID 0000-0002-6923-4097
Fan-Lin MengMarketing and Management Department, CapitalBio Technology, Beijing 101111, China.
Zheng ZhaoBeijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China.ORCID 0000-0001-8945-9632
Tao JiangBeijing Neurosurgical Institute, Capital Medical University, Beijing 100070, China.ORCID 0000-0002-7008-6351

Funding

Beijing Hospitals Authority Youth Programme QML20230507Beijing Municipal Health Commission Fund 11000023T000002044300-5Hetao Shenzhen-Hong Kong Science and Technology Innovation Cooperation Zone HZQB-KCZYB-2020083Hong Kong Innovation and Technology Commission ITCPD/17-9Hong Kong Research Grants Council R4017-18Joint Funding Scheme 2019YFE0109400National Natural Science Foundation of China 82002647
6 · The paper itself

Abstract

circRNADisease v2.0 is an enhanced and reliable database that offers experimentally verified relationships between circular RNAs (circRNAs) and various diseases. It is accessible at http://cgga.org.cn/circRNADisease/ or http://cgga.org.cn:9091/circRNADisease/. The database currently includes 6998 circRNA-disease entries across multiple species, representing a remarkable 19.77-fold increase compared to the previous version. This expansion consists of a substantial rise in the number of circRNAs (from 330 to 4246), types of diseases (from 48 to 330) and covered species (from human only to 12 species). Furthermore, a new section has been introduced in the database, which collects information on circRNA-associated factors (genes, proteins and microRNAs), molecular mechanisms (molecular pathways), biological functions (proliferation, migration, invasion, etc.), tumor and/or cell line and/or patient-derived xenograft (PDX) details, and prognostic evidence in diseases. In addition, we identified 7 159 865 relationships between mutations and circRNAs among 30 TCGA cancer types. Due to notable enhancements and extensive data expansions, the circRNADisease 2.0 database has become an invaluable asset for both clinical practice and fundamental research. It enables researchers to develop a more comprehensive understanding of how circRNAs impact complex diseases.

Indexed as

Databases, GeneticNeoplasmsRNA, CircularCell LineHumansRNA, Circular

Identifiers

PMID37897359
PMCPMC10767896

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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.