Evidence map›Paper›PMID 31680157›Full record

ArticleNucleic acids research2020

ChimerDB 4.0: an updated and expanded database of fusion genes.

Ye Eun Jang, Insu Jang, Sunkyu Kim, Subin Cho, Daehan Kim, Keonwoo Kim, Jaewon Kim, Jimin Hwang, Sangok Kim, Jaesang Kim and 3 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.

0numbers the graph read from it
0cells of the map it votes in
71citing 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

71 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Article
  4. EML4-ALK fusion rewires transcriptomic, miRNA, and CAF-associated programs in non-small cell lung cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Identification of aeLife · 2026
    Article
  11. ESR1 fusions in breast cancer: functions, mechanisms and therapeutic opportunities.Translational breast cancer research : a journal focusing on translational research in breast cancer · 2026
    Review
  12. Mass Spectrometry-Based Validation of Chimeric RNAs.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. A pan-cancer atlas of therapeutic T cell targets.bioRxiv : the preprint server for biology · 2025
    Article
  20. Article

11 more citing papers are in PubMed but not listed here.

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.

Ye Eun JangDepartment of Bio-Information Science, Ewha Womans University, Seoul 03760, Republic of Korea.
Insu JangKorean Bioinformation Center, Korean Research Institute of Bioscience and Biotechnology, Daejeon 34141, Republic of Korea.
Sunkyu KimDepartment of Computer Science and Engineering, Korea University, Seoul 02841, Republic of Korea.
Subin ChoDepartment of Bio-Information Science, Ewha Womans University, Seoul 03760, Republic of Korea.
Daehan KimDepartment of Computer Science and Engineering, Korea University, Seoul 02841, Republic of Korea.
Keonwoo KimDepartment of Computer Science and Engineering, Korea University, Seoul 02841, Republic of Korea.
Jaewon KimDepartment of Bio-Information Science, Ewha Womans University, Seoul 03760, Republic of Korea.
Jimin HwangDepartment of Bio-Information Science, Ewha Womans University, Seoul 03760, Republic of Korea.
Sangok KimDepartment of Life Science, Ewha Womans University, Seoul 03760, Republic of Korea.
Jaesang KimDepartment of Life Science, Ewha Womans University, Seoul 03760, Republic of Korea.
Jaewoo KangDepartment of Computer Science and Engineering, Korea University, Seoul 02841, Republic of Korea.
Byungwook LeeKorean Bioinformation Center, Korean Research Institute of Bioscience and Biotechnology, Daejeon 34141, Republic of Korea.
Sanghyuk LeeDepartment of Bio-Information Science, Ewha Womans University, Seoul 03760, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fusion genes represent an important class of biomarkers and therapeutic targets in cancer. ChimerDB is a comprehensive database of fusion genes encompassing analysis of deep sequencing data (ChimerSeq) and text mining of publications (ChimerPub) with extensive manual annotations (ChimerKB). In this update, we present all three modules substantially enhanced by incorporating the recent flood of deep sequencing data and related publications. ChimerSeq now covers all 10 565 patients in the TCGA project, with compilation of computational results from two reliable programs of STAR-Fusion and FusionScan with several public resources. In sum, ChimerSeq includes 65 945 fusion candidates, 21 106 of which were predicted by multiple programs (ChimerSeq-Plus). ChimerPub has been upgraded by applying a deep learning method for text mining followed by extensive manual curation, which yielded 1257 fusion genes including 777 cases with experimental supports (ChimerPub-Plus). ChimerKB includes 1597 fusion genes with publication support, experimental evidences and breakpoint information. Importantly, we implemented several new features to aid estimation of functional significance, including the fusion structure viewer with domain information, gene expression plot of fusion positive versus negative patients and a STRING network viewer. The user interface also was greatly enhanced by applying responsive web design. ChimerDB 4.0 is available at http://www.kobic.re.kr/chimerdb/.

Indexed as

Computational BiologyDatabases, GeneticData ManagementBiomarkers, TumorData MiningHumansNeoplasmsSoftwareUser-Computer InterfaceBiomarkers, Tumor

Identifiers

PMID31680157
PMCPMC7145594

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.