Evidence map›Paper›PMID 30728257›Full record

ArticleJournal of virology2019

Human Papillomavirus E6/E7 and Long Noncoding RNA TMPOP2 Mutually Upregulated Gene Expression in Cervical Cancer Cells.

Hongpeng He, Xiang Liu, Yue Liu, Mengmeng Zhang, Yongwei Lai, Yunpeng Hao, Qiutong Wang, Danyang Shi, Nan Wang, Xue-Gang Luo and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of virology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
6.2field-weighted citation impact, top 3% 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

30 citing papers in PubMed, 51 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Review
  6. Long noncoding RNACell cycle (Georgetown, Tex.) · 2023
    Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Epigenetic approaches for cervical neoplasia screening (Review).Experimental and therapeutic medicine · 2021
    Review
  15. Review
  16. Role of Virus-Induced Host Cell Epigenetic Changes in Cancer.International journal of molecular sciences · 2021
    Review
  17. Article
  18. Review
  19. Review
  20. 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

12 authors at 1 institution in 1 country.

Hongpeng HeKey Laboratory of Industrial Microbiology, Ministry of Education and Tianjin City, Tianjin University of Science and Technology, Tianjin, China hehongpeng@tust.edu.cn tony@tust.edu.cn.
Xiang LiuKey Laboratory of Industrial Microbiology, Ministry of Education and Tianjin City, Tianjin University of Science and Technology, Tianjin, China.
Yue LiuKey Laboratory of Industrial Microbiology, Ministry of Education and Tianjin City, Tianjin University of Science and Technology, Tianjin, China.
Mengmeng ZhangKey Laboratory of Industrial Microbiology, Ministry of Education and Tianjin City, Tianjin University of Science and Technology, Tianjin, China.
Yongwei LaiKey Laboratory of Industrial Microbiology, Ministry of Education and Tianjin City, Tianjin University of Science and Technology, Tianjin, China.
Yunpeng HaoKey Laboratory of Industrial Microbiology, Ministry of Education and Tianjin City, Tianjin University of Science and Technology, Tianjin, China.
Qiutong WangKey Laboratory of Industrial Microbiology, Ministry of Education and Tianjin City, Tianjin University of Science and Technology, Tianjin, China.
Danyang ShiKey Laboratory of Industrial Microbiology, Ministry of Education and Tianjin City, Tianjin University of Science and Technology, Tianjin, China.
Nan WangKey Laboratory of Industrial Microbiology, Ministry of Education and Tianjin City, Tianjin University of Science and Technology, Tianjin, China.
Xue-Gang LuoKey Laboratory of Industrial Microbiology, Ministry of Education and Tianjin City, Tianjin University of Science and Technology, Tianjin, China.
Wenjian MaKey Laboratory of Industrial Microbiology, Ministry of Education and Tianjin City, Tianjin University of Science and Technology, Tianjin, China.
Tong-Cun ZhangKey Laboratory of Industrial Microbiology, Ministry of Education and Tianjin City, Tianjin University of Science and Technology, Tianjin, China hehongpeng@tust.edu.cn tony@tust.edu.cn.
Tianjin University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

TMPOP2 was previously suggested to be an oncogenic long noncoding RNA which is excessively expressed in cervical cancer cells and inhibits E-cadherin gene expression by recruiting transcription repressor EZH2 to the gene promoter. So far, the function and regulation of TMPOP2 in cervical cancer remain largely unknown. Herein, we found that TMPOP2 expression was correlated with human papillomavirus 16/18 (HPV16/18) E6 and E7 in cervical cancer cell lines CaSki and HeLa. Tumor suppressor p53, which is targeted for degradation by HPV16/18, was demonstrated to associate with two p53 response elements in the

Indexed as

Gene Expression Regulation, NeoplasticUp-RegulationCell Cycle CheckpointsDNA-Binding ProteinsFemaleHeLa CellsHuman papillomavirus 16Human papillomavirus 18HumansMicroRNAsOncogene Proteins, ViralPapillomavirus E7 ProteinsRepressor ProteinsRNA, Long NoncodingRNA, ViralUterine Cervical NeoplasmsDNA-Binding ProteinsE6 protein, Human papillomavirus type 16E6 protein, Human papillomavirus type 18E7 protein, Human papillomavirus type 18MicroRNAsMIRN139 microRNA, humanMIRN375 microRNA, humanoncogene protein E7, Human papillomavirus type 16Oncogene Proteins, ViralPapillomavirus E7 ProteinsRepressor ProteinsRNA, Long NoncodingRNA, Viralcervical cancerHPV E6/E7lncRNA TMPOP2miRNAsp53

Identifiers

PMID30728257
PMCPMC6450114
OpenAlexW2914040086

What OpenQuestion holds

Textmetadata
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.