Evidence map›Paper›PMID 32534173›Full record

ArticleCancer letters2020

Landscape characterization of chimeric RNAs in colorectal cancer.

Hao Wu, Sandeep Singh, Zhongqiu Xie, Xiaorong Li, Hui Li

Abstract read
In one paragraph

Article in Cancer letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

17 citing papers in PubMed, 45 citations in OpenAlex.

  1. Science advances · 2026
    Article
  2. Review
  3. Article
  4. OncogenicMedComm · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Chimeric RNAiScience · 2023
    Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. 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

5 authors at 2 institutions in 2 countries.

Hao WuDepartment of Breast Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, Guangdong, 510060, China; Department of Pathology, School of Medicine, University of Virginia, Charlottesville, VA, 22908, USA; Department of Gastrointestinal Surgery, The Third Xiangya Hospital of Central South University, Changsha, Hunan, 410013, China.
Sandeep SinghDepartment of Pathology, School of Medicine, University of Virginia, Charlottesville, VA, 22908, USA.
Zhongqiu XieDepartment of Pathology, School of Medicine, University of Virginia, Charlottesville, VA, 22908, USA.
Xiaorong LiDepartment of Gastrointestinal Surgery, The Third Xiangya Hospital of Central South University, Changsha, Hunan, 410013, China.
Hui LiDepartment of Pathology, School of Medicine, University of Virginia, Charlottesville, VA, 22908, USA; Department of Biochemistry and Molecular Genetics, School of Medicine, University of Virginia, Charlottesville, VA, 22908, USA. Electronic address: hl9r@virginia.edu.
University of Virginia · USCentral South University · CN

Funding

Women's Oncology Program - WONP30CA044579 · NCI · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI Jay William FOX · 1987 to 2026
$72.1M
NCI NIH HHS P30 CA044579
6 · The paper itself

Abstract

Gene fusions and their fusion products have been recognized as ideal biomarkers and drug targets for cancer. However, few recurrent gene fusions were found in colorectal cancer (CRC), despite comprehensive studies. We believe that chimeric RNAs, in the absence of chromosomal rearrangement, may represent a new repertoire of biomarkers and/or therapeutic targets in CRC. In this study, we aim to identify such recurrent chimeric RNAs, and investigate their clinical implications. To do so, we performed extensive data mining for chimeric RNAs using The Cancer Genome Atlas CRC RNA-Seq datasets. Multiple filtering criteria were applied, and the landscape of chimeric RNAs at multiple levels, from various angles, was analyzed. Eleven frequent, cancer biased chimeric RNAs were validated. The expression of RRM2-C2orf48 correlates with poor clinical outcomes, while the expression of parental RRM2 and C2orf48 correlates with positive clinical outcomes. Mechanistically, it is a product of cis-splicing between adjacent genes. Silencing of RRM2-C2orf48 resulted in reduced cellular proliferation in colon cancer cells, whereas overexpressed chimera promoted cell proliferation. These findings suggest that frequent chimeric RNAs are present in CRCs, and that chimeric RNAs may have different expression profiles and functions from parental genes, thus representing a new repertoire of biomarkers and therapeutic targets.

Indexed as

Biomarkers, TumorColorectal NeoplasmsHumansRibonucleoside Diphosphate ReductaseRNA, NeoplasmRNA SplicingBiomarkers, TumorRibonucleoside Diphosphate Reductaseribonucleotide reductase M2RNA, NeoplasmChimeric RNAcis-SAGeFusion transcriptGene fusionRRM2-C2orf48

Identifiers

PMID32534173
PMCPMC12645518
OpenAlexW3035322905

What OpenQuestion holds

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LicenceTDM
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.