Evidence map›Paper›PMID 36088396›Full record

ArticleCell & bioscience2022

Profile of chimeric RNAs and TMPRSS2-ERG e2e4 isoform in neuroendocrine prostate cancer.

Qiong Wang, Junxiu Chen, Sandeep Singh, Zhongqiu Xie, Fujun Qin, Xinrui Shi, Robert Cornelison, Hui Li, Hai Huang

Open access · goldAbstract read
In one paragraph

Article in Cell & bioscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.9field-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

13 citing papers in PubMed, 17 citations in OpenAlex.

  1. Induction of ferroptosis in prostate cancer by CCDC7Cell death and differentiation · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. OncogenicMedComm · 2024
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. PET imaging of new target CDK19 in prostate cancer.European journal of nuclear medicine and molecular imaging · 2023
    Article
  11. Chimeric RNAs and their implication in prostate cancer.Cancer pathogenesis and therapy · 2023
    Review
  12. Review
  13. 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

9 authors at 2 institutions in 2 countries.

Qiong Wang *Department of Urology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China.
Junxiu Chen *Department of Urology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, 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.
Fujun QinDepartment of Pathology, School of Medicine, University of Virginia, Charlottesville, VA, 22908, USA.
Xinrui ShiDepartment of Pathology, School of Medicine, University of Virginia, Charlottesville, VA, 22908, USA.
Robert CornelisonDepartment of Pathology, School of Medicine, University of Virginia, Charlottesville, VA, 22908, USA.
Hui LiDepartment of Pathology, School of Medicine, University of Virginia, Charlottesville, VA, 22908, USA. hl9r@virginia.edu.ORCID http://orcid.org/0000-0002-7879-1792
Hai HuangDepartment of Urology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou, 510120, China. huangh9@mail.sysu.edu.cn.
University of Virginia · USSun Yat-sen University · CN

Funding

Women's Oncology Program - WONP30CA044579 · NCI · UNIVERSITY OF VIRGINIA CHARLOTTESVILLE · PI Dina Gould Halme · 1987 to 2026
$72.1M
National Natural Science Foundation of China 81672550National Natural Science Foundation of China 81974395National Natural Science Foundation of China 82173036NCI NIH HHS P30 CA044579
6 · The paper itself

Abstract

purposeSpecific gene fusions and their fusion products (chimeric RNA and protein) have served as ideal diagnostic markers and therapeutic targets for cancer. However, few systematic studies for chimeric RNAs have been conducted in neuroendocrine prostate cancer (NEPC). In this study, we explored the landscape of chimeric RNAs in different types of prostate cancer (PCa) cell lines and aimed to identify chimeric RNAs specifically expressed in NEPC.

methodsTo do so, we employed the RNA-seq data of eight prostate related cell lines from Cancer Cell Line Encyclopedia (CCLE) for chimeric RNA identification. Multiple filtering criteria were used and the candidate chimeric RNAs were characterized at multiple levels and from various angles. We then performed experimental validation on all 80 candidates, and focused on the ones that are specific to NEPC. Lastly, we studied the clinical relevance and effect of one chimera in neuroendocrine process.

resultsOut of 80 candidates, 15 were confirmed to be expressed preferentially in NEPC lines. Among them, 13 of the 15 were found to be specifically expressed in NEPC, and four were further validated in another NEPC cell line. Importantly, in silico analysis showed that tumor malignancy may be correlated to the level of these chimeric RNAs. Clinically, the expression of TMPRSS2-ERG (e2e4) was elevated in tumor tissues and indicated poor clinical prognosis, whereas the parental wild type transcripts had no such association. Furthermore, compared to the most frequently detected TMPRSS2-ERG form (e1e4), e2e4 encodes 31 more amino acids and accelerated neuroendocrine process of prostate cancer.

conclusionsIn summary, these findings painted the landscape of chimeric RNA in NEPC and supported the idea that some chimeric RNAs may represent additional biomarkers and/or treatment targets independent of parental gene transcripts.

Indexed as

Chimeric RNANeuroendocrine prostate cancerTMPRSS2-ERG

Identifiers

PMID36088396
PMCPMC9463804
OpenAlexW4295095224

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.