Evidence map›Paper›PMID 24452514›Full record

ArticleOncology reports2014

Comprehensive microRNA profiling of prostate cancer cells after ionizing radiation treatment.

Chung-Man Leung, Sung-Chou Li, Ting-Wen Chen, Meng-Ru Ho, Ling-Yueh Hu, Wen-Shan Liu, Tony T Wu, Ping-Chi Hsu, Hong-Tai Chang, Kuo-Wang Tsai

Open access · hybridAbstract read
In one paragraph

Article in Oncology reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.7field-weighted citation impact, top 17% 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

21 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
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  5. Review
  6. Circulating miRNAs Act as Diagnostic Biomarkers for Bladder Cancer in Urine.International journal of molecular sciences · 2021
    Article
  7. Review
  8. Tumor Suppressor Role of hsa-miR-193a-3p and -5p in Cutaneous Melanoma.International journal of molecular sciences · 2020
    Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Microarray analysis of miRNA expression profiles following whole body irradiation in a mouse model.Biomarkers : biochemical indicators of exposure, response, and susceptibility to chemicals · 2018
    Article
  14. Article
  15. Article
  16. Article
  17. Review
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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

10 authors at 4 institutions in 1 country.

Chung-Man LeungDepartment of Radiation Oncology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan, R.O.C.
Sung-Chou LiGenomics and Proteomics Core Laboratory, Department of Medical Research, Kaohsiung Chang Gung Memorial Hospital and Chang Gung University College of Medicine, Kaohsiung, Taiwan, R.O.C.
Ting-Wen ChenMolecular Medicine Research Center, Chang Gung University, Taoyuan, Taiwan, R.O.C.
Meng-Ru HoGenomics Research Center, Academia Sinica, Taipei, Taiwan, R.O.C.
Ling-Yueh HuInstitute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan, R.O.C.
Wen-Shan LiuDepartment of Radiation Oncology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan, R.O.C.
Tony T WuDepartment of Surgery, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan, R.O.C.
Ping-Chi HsuDepartment of Safety, Health and Environmental Engineering, National Kaohsiung First University of Science and Technology, Kaohsiung, Taiwan, R.O.C.
Hong-Tai ChangDepartment of Surgery, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan, R.O.C.
Kuo-Wang TsaiDepartment of Medical Education and Research, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan, R.O.C.
Kaohsiung Veterans General Hospital · TWChang Gung University · TWGenomics Research Center, Academia Sinica · TWInstitute of Biomedical Sciences, Academia Sinica · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) are small, non-coding RNAs that negatively regulate gene expression and have emerged as potential biomarkers in radiation response to human cancer. Only a few miRNAs have been identified in radiation response to prostate cancer and the involvement of the radiation-associated miRNA machinery in the response of prostate cancer cells to radiation is not thoroughly understood. Therefore, the purpose of the present study was to comprehensively investigate the expression levels, arm selection preference and isomiRs of radiation-response miRNAs in radiation-treated PC3 cells using a next-generation sequencing (NGS) approach. Our data revealed that the arm selection preference and 3' modification of miRNAs may be altered in prostate cancer after radiation exposure. In addition, the proportion of AA dinucleotide modifications at the end of the read gradually increased in a time-dependent manner after PC3 radiation treatment. We also identified 6 miRNAs whose expression increased and 16 miRNAs whose expression decreased after exposure to 10 Gy of radiation. A pathway enrichment analysis revealed that the target genes of these radiation-induced miRNAs significantly co-modulated the radiation response pathway, including the mitogen-activated protein kinase (MAPK), Wnt, transforming growth factor-β (TGF-β) and ErbB signaling pathways. Furthermore, analysis of The Cancer Genome Atlas (TCGA) database revealed that the expression of these radiation-induced miRNAs was frequently dysregulated in prostate cancer. Our study identified radiation-induced miRNA candidates which may contribute to radiosensitivity and can be used as biomarkers for radiotherapy.

Indexed as

Base SequenceCell Line, TumorGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansMaleMAP Kinase Signaling SystemMicroRNAsMolecular Sequence DataProstatic NeoplasmsTranscriptomeMicroRNAs

Identifiers

PMID24452514
PMCPMC3926670
OpenAlexW2070412447

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.