Evidence map›Paper›PMID 24348754›Full record

ArticleExperimental and therapeutic medicine2014

Human papillomavirus oncoproteins and apoptosis (Review).

Peiyue Jiang, Ying Yue

Open access · diamondAbstract read
In one paragraph

Article in Experimental and therapeutic medicine, 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
1.9field-weighted citation impact, top 14% 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, 58 citations in OpenAlex.

  1. Therapy resistance-related ncRNAs in cervical cancer: biomarkers and therapeutic targets.Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences · 2026
    Review
  2. Review
  3. Role of E5 from HPV16 in the Evasion of the Immune Response.International journal of molecular sciences · 2026
    Review
  4. Article
  5. Review
  6. Article
  7. Review
  8. Review
  9. Review
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Targeting Head and Neck Cancer by Vaccination.Frontiers in immunology · 2018
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Genetic susceptibility to cervical cancer: role of common polymorphisms in apoptosis-related genes.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2015
    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

2 authors at 2 institutions in 1 country.

Peiyue JiangDepartment of Gynecological Oncology, First Hospital of Jilin University, Changchun, Jilin 130021, P.R. China.
Ying YueDepartment of Gynecological Oncology, First Hospital of Jilin University, Changchun, Jilin 130021, P.R. China.
First Hospital of Jilin University · CNJilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to review the literature and identify the association between human papillomavirus (HPV) oncoproteins and apoptosis. HPV-associated apoptosis may be primarily blocked by a number of oncoproteins, including E5, E6 and E7. E5 protein protects cells from tumor necrosis factor-associated apoptosis; the oncoprotein E6 predominantly inhibits apoptosis through the p53 pathway; and oncoprotein E7 is involved in apoptosis activation and inhibition. In addition, HPV oncoproteins are involved in activating or repressing the transcription of E6/E7. In conclusion, HPV oncoproteins, including E5, E6 and E7 protein, may interfere with apoptosis via certain regulatory principles.

Indexed as

apoptosishuman papillomavirusincorporationoncoprotein

Identifiers

PMID24348754
PMCPMC3860870
OpenAlexW2102126917

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.