Association Between Recurrence of High-grade Squamous Intraepithelial Lesions of the Uterine Cervix and p16, C-myc and PIK3CA Proteins-A Single-center Retrospective Study.

Ya Li, Rui Zhang, Jin Zhang, Ying Gao, Yawen Bian, Wenpei Bai

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Article in Cell biochemistry and biophysics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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6 authors.

Ya LiThe Department of Gynecology and Obstetrics, Beijing Shijitan Hospital, Capital Medical University, Haidian, 100038, Beijing, China.

Rui ZhangThe Department of Gynecology and Obstetrics, Beijing Shijitan Hospital, Capital Medical University, Haidian, 100038, Beijing, China.

Jin ZhangThe Department of Gynecology and Obstetrics, Beijing Shijitan Hospital, Capital Medical University, Haidian, 100038, Beijing, China.

Ying GaoThe Department of Pathology, Beijing Shijitan Hospital, Capital Medical University, Haidian, 100038, Beijing, China.

Yawen BianThe Department of Pathology, Beijing Shijitan Hospital, Capital Medical University, Haidian, 100038, Beijing, China.

Wenpei BaiThe Department of Gynecology and Obstetrics, Beijing Shijitan Hospital, Capital Medical University, Haidian, 100038, Beijing, China. baiwp@bjsjth.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cervical high-grade squamous intraepithelial lesions (HSIL) are one of the common types of cervical cancer precancerous changes, and HPV16/18 positivity is a risk factor for HSIL recurrence. By detecting the expression of relevant markers in the lesion tissue of recurrent patients, it is helpful for the diagnosis of HPV16/18 positivity and can provide a basis for disease recurrence risk assessment. Therefore, this study analyzed the relationship between p16, C-myc, PIK3CA proteins and HPV16/18 positivity in recurrent cervical HSIL patients. By examining the p16, C-myc, and PIK3CA proteins in the cervical lesion tissue of 180 HSIL recurrent patients who underwent examination in the hospital from January 2020 to December 2022, this study analyzed the relationship between p16, C-myc, and PIK3CA proteins and HPV16/18 positivity. PIK3CA expression detection found that the proportion of positive expression of p16, C-myc, and PIK3CA in HPV16/18 (+) patients was significantly higher than that in HPV16/18 (-), and the expression of HPV16/18 in HSIL patients was significantly positively correlated with p16, C-myc, and PIK3CA. Meanwhile, a prediction model F was constructed based on binary logistic regression analysis data with good fit, and through ROC curve analysis. It was found that p16, C-myc, PIK3CA, and logistic model F can effectively predict HPV16/18 (+), with model F having the best diagnostic performance.

Indexed as

Class I Phosphatidylinositol 3-KinasesCyclin-Dependent Kinase Inhibitor p16Neoplasm Recurrence, LocalProto-Oncogene Proteins c-mycSquamous Intraepithelial LesionsUterine Cervical NeoplasmsAdultFemaleHuman papillomavirus 16Human papillomavirus 18HumansMiddle AgedPapillomavirus InfectionsRetrospective StudiesCDKN2A protein, humanClass I Phosphatidylinositol 3-KinasesCyclin-Dependent Kinase Inhibitor p16MYC protein, humanPIK3CA protein, humanProto-Oncogene Proteins c-mycCervical lesion tissuesC-mycDisease recurrenceHigh-grade squamous intraepithelial lesionHPV16/18 positivityp16PIK3CA

Identifiers

PMID39384698

DOI10.62347/GPLZ1377

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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.