Evidence map›Paper›PMID 36157320›Full record

ArticleMolecular and clinical oncology2022

Searching for the methylation sites involved in human papillomavirus type 16 and 18‑positive women with cervical cancer.

Yanyun Ma, Chunxia Wang, Mengqi Shi, Mingshan Li, Lin Li, Tuanjie Che, Jing Qu

Abstract read
In one paragraph

Article in Molecular and clinical oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Identification of a novel hypermethylation marker, ZSCAN18, and construction of a diagnostic model in cervical cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
    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

7 authors.

Yanyun MaClinical Laboratory, The First People's Hospital of Lanzhou, Lanzhou, Gansu 730050, P.R. China.
Chunxia WangClinical Laboratory, The First People's Hospital of Lanzhou, Lanzhou, Gansu 730050, P.R. China.
Mengqi ShiDepartment of Cell Biology, School of Biology and Basic of Medical Science, Medical College of Soochow University, Suzhou, Jiangsu 215153, P.R. China.
Mingshan LiDepartment of Cell Biology, School of Biology and Basic of Medical Science, Medical College of Soochow University, Suzhou, Jiangsu 215153, P.R. China.
Lin LiLaboratory of Precision Medicine and Translational Medicine, Suzhou Science and Technology Town Hospital, Suzhou, Jiangsu 215153, P.R. China.
Tuanjie CheLaboratory of Precision Medicine and Translational Medicine, Suzhou Science and Technology Town Hospital, Suzhou, Jiangsu 215153, P.R. China.
Jing QuDepartment of Cell Biology, School of Biology and Basic of Medical Science, Medical College of Soochow University, Suzhou, Jiangsu 215153, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

It has been reported that >90% of women with cervical cancer are human papillomavirus (HPV)-positive, with HPV16 and 18 being the most 'highest-risk' HPV genotypes. However, in numerous women, HPV infection will not progress to cervical cancer. Accordingly, more appropriate screening markers need to be explored. In the present study, genome-wide DNA methylomic differences between cervical cancer tissues with HPV-16 or HPV-18 infection and normal cervical tissues were detected by using an Illumina Human Methylation 850 K BeadChip. The Gene Ontology functional enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were conducted in order to define the nearest neighbouring genes of differentiated methylation sites. Moreover, differentiated methylation sites were verified using pyrosequencing. KEGG analyses suggested that the focal adhesion pathway and pathways in cancer were highly enriched. Bioinformatics and statistical analysis indicated that the nine CpG loci had the most significant differences amongst the genes involved in these pathways. Among these, six CpG sites in the CHRM2, LAMA4, COL11A1, FGF10, IGF1 and TEK genes were highly associated with HPV-16-positive cervical cancer, as validated using pyrophosphate sequencing. Additionally, 10 significantly different CpG sites of the HPV-18-positive group were selected and verified in The Cancer Genome Atlas, indicating their possible diagnostic roles in cervical cancer development and determination. In addition, eight hypermethylated CpG island sites that were associated with HPV-16-positive cervical cancer tissues and 10 hypermethylated CpG island sites that were associated with HPV-18-positive cervical cancer tissues were identified, highlighting their potential roles in screening and evaluating targeted therapy efficacy and prognosis. The main focus of the present study was to identify the genetic variability in HPV-16- and HPV-18-positive samples and to elucidate possible methylation biomarkers in HPV-positive women with a risk of developing cervical cancer.

Indexed as

biomarkercervical cancerhuman papillomavirus 16human papillomavirus 18methylation

Identifiers

PMID36157320
PMCPMC9468798

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