Evidence map›Paper›PMID 39411320›Full record

ArticleFrontiers in cellular and infection microbiology2024

Recombinant adenoviruses expressing HPV16/18 E7 upregulate the HDAC6 and DNMT3B genes in C33A cells.

Yunting Shao, Pir Tariq Shah, Qisheng Su, Shanhu Li, Fang Huang, Jun Wang, Peng Wang, Chengjun Wu

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. DNMT Enzymes and Their Impact on Cervical Cancer: A State-of-the-Art Review.International journal of molecular sciences · 2025
    Review
  3. 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

8 authors.

Yunting ShaoFaculty of Medicine, School of Basic Medical Sciences, Dalian University of Technology, Dalian, China.
Pir Tariq ShahFaculty of Medicine, School of Basic Medical Sciences, Dalian University of Technology, Dalian, China.
Qisheng SuFaculty of Medicine, School of Basic Medical Sciences, Dalian University of Technology, Dalian, China.
Shanhu LiDepartment of Cell Engineering, Beijing Institute of Biotechnology, Beijing, China.
Fang HuangDepartment of Cell Engineering, Beijing Institute of Biotechnology, Beijing, China.
Jun WangObstetrics and Gynecology Department, The Second Affiliated Hospital of Dalian Medical University Mailing, Dalian, China.
Peng WangDepartment of Cell Engineering, Beijing Institute of Biotechnology, Beijing, China.
Chengjun WuFaculty of Medicine, School of Basic Medical Sciences, Dalian University of Technology, Dalian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: High-risk human papillomavirus (HPV) is a carcinogenic virus associated with nearly all cases of cervical cancer, as well as an increasing number of anal and oral cancers. The two carcinogenic proteins of HPV, E6 and E7, can immortalize keratinocytes and are essential for HPV-related cellular transformation. Currently, the global regulatory effects of these oncogenic proteins on the host proteome are not fully understood, and further exploration of the functions and carcinogenic mechanisms of E6 and E7 proteins is needed. Methods: We used a previously established platform in our laboratory for constructing recombinant adenoviral plasmids expressing the HPV16 E7 gene to further construct recombinant virus particles expressing HPV16/18 E6, E7, and both E6 and E7 genes. These recombinant viruses were used to infect C33A cells to achieve sustained expression of the HPV16/18 E6/E7 genes. Subsequently, total RNA was extracted and RNA-Seq technology was employed for transcriptome sequencing to identify differentially expressed genes associated with HPV infection in cervical cancer. Results: RNA-Seq analysis revealed that overexpression of the HPV16/18 E6/E7 genes upregulated GP6, CD36, HDAC6, ESPL1, and DNMT3B among the differentially expressed genes (DEGs) associated with cervical cancer. Spearman correlation analysis revealed a statistically significant correlation between the HDAC6 and DNMT3B genes and key pathways, including DNA replication, tumor proliferation signature, G2M checkpoint, p53 pathways, and PI3K/AKT/mTOR signaling pathways. Further, qRT-PCR and Western blot analyses indicated that both HPV16/18 E7 can upregulate the expression of HDAC6 and DNMT3B, genes associated with HPV infection-related cervical cancer. Conclusion: The successful expression of HPV16/18 E6/E7 in cells indicates that the recombinant viruses retain the replication and infection capabilities of Ad4. Furthermore, the recombinant viruses expressing HPV16/18 E7 can upregulate the HDAC6 and DNMT3B genes involved in cervical cancer pathways, thereby influencing the cell cycle. Additionally, HDAC6 and DNMT3B are emerging as important therapeutic targets for cancer. This study lays the foundation for further exploration of the oncogenic mechanisms of HPV E6/E7 and may provide new directions for the treatment of HPV-related cancers.

Indexed as

AdenoviridaeDNA (Cytosine-5-)-MethyltransferasesDNA Methyltransferase 3BHistone Deacetylase 6Human papillomavirus 16Oncogene Proteins, ViralPapillomavirus E7 ProteinsRepressor ProteinsCell Line, TumorDNA-Binding ProteinsFemaleGene Expression ProfilingHost-Pathogen InteractionsHuman papillomavirus 18HumansPapillomavirus InfectionsDNA-Binding ProteinsDNA (Cytosine-5-)-MethyltransferasesDNA Methyltransferase 3BE6 protein, Human papillomavirus type 16E6 protein, Human papillomavirus type 18E7 protein, Human papillomavirus type 18HDAC6 protein, humanHistone Deacetylase 6oncogene protein E7, Human papillomavirus type 16Oncogene Proteins, ViralPapillomavirus E7 ProteinsRepressor ProteinsDNMT3BE6/E7 geneHDAC6high-risk HPVrecombinant virus

Identifiers

PMID39411320
PMCPMC11473514

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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.