Dataset Information

HPV16-E6/E7 Oncogene Mutation and p53 Expression among Indonesian Women with Cervical Cancer.

ABSTRACT:

Objective

To characterize HPV16 E6/E7 mutation and its association with p53 expression among Indonesian women with cervical cancer.

Methods

This is a cross-sectional study involving 31 Indonesian women with pathologically proven cervical cancer and HPV16 infection. Data about the clinical characteristics of the study population were obtained from the medical records. Biopsy specimen of the cervical cancer mass from each study participant was obtained for DNA isolation. The ORFs of E6 and E7 genes were amplified using specific primer designed according to K02718/HPV16R gene sequence obtained from GenBank. Sequencing was performed using software program MEGA10. HPV16 E6 and E7 prototype sequences for nucleotide alignment (HPv16. P, GenBank Access code: NC_001526) was selected from European variant. The sequence of nucleotide and amino acid was aligned using software program BioEdit. p53 expression was evaluated through immunohistochemistry and quantified using immunoreactivity score (IRS).

Results

Twelve subjects (38.7%) present with E6 and E7 mutation. Median age, parity, stage and histologic type of the tumour did not associate with E6/E7 mutation. E6 and E7 mutation rate was 25.8% (8/31) and 12.9% (4/31), respectively. Seven single nucleotide changes were identified within the E6 and E7 oncogenes, including four non-synonymous and three synonymous mutations. E6 T27C was the most prevalent mutation (16.1%). Nonsynonymous mutations were more prevalent within E7 gene (9.6%) (N29T, N29S, and R77C). Median IRS did not differ between HPV16-E6/E7 variants and wildtype (p value = 0.990). There was no association between E6/E7 mutations and p53 expression in Indonesian women with cervical cancer (PR 1.4, 95% CI: 0.29-6.77, p value = 0.704).

Conclusions

HPV16 E6 mutation was more prevalent than E7 mutation among Indonesian women. There was no association between E6/E7 mutation and p53 expression level.

SUBMITTER: Mahendra INB

PROVIDER: S-EPMC9741891 | biostudies-literature | 2022 Aug

REPOSITORIES: biostudies-literature

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Publications

HPV16-E6/E7 Oncogene Mutation and p53 Expression among Indonesian Women with Cervical Cancer.

Mahendra I Nyoman Bayu INB Prayudi Pande Kadek Aditya PKA Dwija Ida Bagus Nyoman Putra IBNP Suwiyoga Ketut K

Asian Pacific journal of cancer prevention : APJCP 20220801 8

<h4>Objective</h4>To characterize HPV16 E6/E7 mutation and its association with p53 expression among Indonesian women with cervical cancer.<h4>Methods</h4>This is a cross-sectional study involving 31 Indonesian women with pathologically proven cervical cancer and HPV16 infection. Data about the clinical characteristics of the study population were obtained from the medical records. Biopsy specimen of the cervical cancer mass from each study participant was obtained for DNA isolation. The ORFs of ...[more]

PMID: 36037124

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Project description:Keratinocyte infection with high-risk human papillomavirus genotypes has been linked to cancer development. In cervix, the alpha HPV16 and HPV18 have been reported as the mayor causative agents of cervical cancer. Oncogenic progression and chronic inflammation are closely related processes, with IL-6 as one of the main pro-inflammatory cytokines involved. However, there are limited studies about the regulation of IL-6 by low and high risk HPVs and the HPV proteins implicated in this modulation. In this work, we report the overexpression of IL-6 in HPV infected cervical cancer derived cell lines (HeLa and SiHa) compared to non-tumorigenic keratinocytes (HaCaT), and in Cervical Intraepithelial Neoplasia grade 1 HPV16 and HPV18 positive cervical samples compared to HPV negative samples without lesions. Moreover, we generated HaCaT keratinocytes that express E5, E6, and E7 from high risk (16 or 18) or low risk (62 and 84) HPVs. E5 proteins do not modify IL-6 expression, while E7 modestly increase it. Interestingly, E6 proteins in HaCaT cells upregulate IL-6 mRNA expression and protein secretion. Indeed, in HaCaT cells that express high risk HPV16E6 or HPV18E6 proteins, only the truncated E6* isoforms were expressed, showing the stronger IL-6 overexpression, while in HaCaT cells that express low risk HPV62 and HPV84 full length E6 proteins, IL-6 was also upregulated but not so drastically. Since HaCaT cells have a mutated p53 form that is not degraded by the introduction of E6 or E6/E7, it seems that E6/E7 regulate IL-6 by an additional mechanism independent of p53. In addition, basal keratinocytes showed a strong expression of IL-6R using immunohistochemistry, suggesting an autocrine mechanism over proliferative cells. Altogether, IL-6 cytokine expression in keratinocytes is upregulated by E6 and E7 proteins from HPVs 16, 18, 62, and 84, especially by high risk HPV16 and HPV18 E6*, which may contribute to promote a pro-inflammatory and highly proliferative microenvironment that can persist over time and lead to cervical tumorigenesis.

Project description:The genetic diversity of human papillomavirus (HPV) 16 within cervical cells and tissue is usually associated with persistent virus infection and precancerous lesions. To explore the HPV16 mutation patterns contributing to the cervical cancer (CC) progression, a total of 199 DNA samples from HPV16-positive cervical specimens were collected and divided into high-grade squamous intraepithelial lesion (HSIL) and the non-HSIL(NHSIL) groups. The HPV16 E6 region (nt 7125-7566) was sequenced using next-generation sequencing. Based on HPV16 E6 amino acid mutation features selected by Lasso algorithm, four machine learning approaches were used to establish HSIL prediction models. The receiver operating characteristic was used to evaluate the model performance in both training and validation cohorts. Western blot was used to detect the degradation of p53 by the E6 variants. Based on the 13 significant mutation features, the logistic regression (LR) model demonstrated the best predictive performance in the training cohort (AUC = 0.944, 95% CI: 0.913-0.976), and also achieved a high discriminative ability in the independent validation cohort (AUC = 0.802, 95% CI: 0.601-1.000). Among these features, the E6 D32E and H85Y variants have higher ability to degrade p53 compared to the E6 wildtype (P < 0.05). In conclusion, our study provides evidence for the first time that HPV16 E6 sequences contain vital mutation features in predicting HSIL. Moreover, the D32E and H85Y variants of E6 exhibited a significantly higher ability to degrade p53, which may play a vital role in the development of CC. IMPORTANCE The study provides evidence for the first time that HPV16 E6 sequences contain vital mutation features in predicting the high-grade squamous intraepithelial lesion and can reduce even more unneeded colposcopies without a loss of sensitivity to detect cervical cancer. Moreover, the D32E and H85Y variants of E6 exhibited a significantly higher ability to degrade p53, which may play a vital role in the development of cervical cancer.

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Dataset Information

HPV16-E6/E7 Oncogene Mutation and p53 Expression among Indonesian Women with Cervical Cancer.

Objective

Methods

Results

Conclusions

Publications

HPV16-E6/E7 Oncogene Mutation and p53 Expression among Indonesian Women with Cervical Cancer.

Similar Datasets

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