ArticleCancer biomarkers : section A of Disease markers2017
The synergic effect of HPV infection and epigenetic anomaly of the p16 gene in the development of cervical cancer.
Article in Cancer biomarkers : section A of Disease markers, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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.
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.
Who cites it
6 citing papers in PubMed, 7 citations in OpenAlex.
- Immunohistochemical expression of Ki-67, estrogen receptor, and human epidermal growth factor receptor 2 in p16-positive premalignant and malignant cervical squamous lesions: associations with clinicopathological parameters.Ewha medical journal · 2026Article
- LncRNA HOXA-AS2 Activates the Notch Pathway to Promote Cervical Cancer Cell Proliferation and Migration.Reproductive sciences (Thousand Oaks, Calif.) · 2021Article
- Prognostic alternative splicing signature in cervical squamous cell carcinoma.IET systems biology · 2020Article
- Evaluation of a methylation classifier for predicting pre-cancer lesion among women with abnormal results between HPV16/18 and cytology.Clinical epigenetics · 2020Article
- Bioinformatics analysis of methylation in cervical adenocarcinoma in Xinjiang, China.Medicine · 2018Article
- Cervical small cell carcinoma frequently presented in multiple high risk HPV infection and often associated with other type of epithelial tumors.Diagnostic pathology · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 5 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCervical cancer is the most common cancer in Indian women. Infection with a high-risk human papillomavirus (HR-HPV) is the greatest risk factor for developing cervical cancer. The genetic and epigenetic changes in the tumor suppressor p16 gene is play an important role in the development of cervical cancer.
objectiveTo evaluate the expression and promoter methylation of p16 gene in HR-HPV infected squamous cell carcinoma of the uterine cervix.
methodsTo find out p16INK4a expression and methylation status 105 squamous cell carcinoma of the uterine cervix were investigated by using immunohistochemistry and Methylation Specific PCR techniques.
resultsHPV16/18 was amplified in 83.8% cases of the cervix. 80% of them were positive for HPV type 16, while only 3.8% were positive for HPV type 18. Promoter CpG island hypermethylation of p16 gene was detected in 20.9% tissue samples of cervical carcinoma. Of these hypermethylated samples 90.9% cases showed nil/very low p16INK4a expression (P= 0.001). Overexpression of p16INK4a was observed in 73.3% cases of HR-HPV infected squamous cell carcinoma of the cervix.
conclusionAn association between p16 methylation, expression, and HR-HPV infection suggested the compliance of HPV infection and aberration of p16 gene have a synergic effect on initiation and progression of cervical carcinoma.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.