Adjunctive testing by cytology, p16/Ki-67 dual-stained cytology or HPV16/18 E6 oncoprotein for the management of HPV16/18 screen-positive women

Accuracy of HPV E6/E7 oncoprotein tests to detect high-grade cervical lesions: a systematic literature review and meta-analysis

BACKGROUND

Cervical carcinogenesis is mediated by the HPV-E6 and E7 oncoproteins, considered as biomarkers usable in managing screen-positive women.

METHODS

We conducted a systematic review and meta-analysis assessing the accuracy of HPV-E6/E7-oncoprotein tests to detect underlying cervical-precancer and cancer. We included studies reporting data on oncoprotein test accuracy detecting cervical intraepithelial neoplasia grade 3 or worse. Random effects logistic regression models were applied for pooling absolute and relative accuracy.

RESULTS

Twenty-two studies were included. Sensitivity and specificity estimates ranged from 54.2% (95%CI: 45.2-63.0) to 69.5% (95%CI:60.8-76.9) and from 82.8% (95%CI: 50.4-95.8) to 99.1 (95%CI: 98.8-99.3), respectively in the population irrespective of HPV status. Higher sensitivity estimates ranging from 60.8% (95%CI: 49.6-70.9) to 75.5% (95%CI: 71.7-78.9) but lower specificity estimates ranging from 83.7% (95%CI: 76.1-89.3) to 92.1% (95%CI: 88.5-94.6) were observed in studies enrolling high-risk-HPV-positive women. Studies recruiting only HIV-positive women showed a pooled sensitivity of 46.9% (95%CI: 30.6-63.9) with a specificity of 98.0% (95%CI: 96.8-98.7).

CONCLUSIONS

The high specificity of oncoprotein tests supports its use for triaging HPV-positive women. However, oncoprotein-negative women would not be recommended to undertake routine screening, requiring further follow-up. Large-scale and longitudinal studies are needed to further investigate the role of E6/E7-oncoprotein detection in predicting the risk of developing cervical pre-cancer and cancer.

Testing for viral DNA integration among HPV-positive women to detect cervical precancer: An observational cohort study

OBJECTIVE

Human papillomavirus (HPV) integration is a crucial genetic step in cervical carcinogenesis. This study aimed to evaluate the performance of an HPV integration test for the triage of HPV-positive women.

DESIGN

An observational cohort study.

SETTING

A cervical cancer screening programme in China.

POPULATION

1393 HPV-positive women aged 25-65 years undergoing routine cervical cancer screening and HPV integration testing with 1-year follow-up.

METHODS

The sensitivity, specificity, positive predictive value and negative predictive value between HPV integration and cytology were compared.

MAIN OUTCOME MEASURES

Cervical intraepithelial neoplasia grade 3 or more severe (CIN3+).

RESULTS

Among 1393 HPV-positive patients, 138 (9.9% [8.3-11.5%]) were HPV integration test positive compared with 537 who had abnormal cervical cytology (38.5% [36.0-41.1%]). Compared with cytology, HPV integration exhibited higher specificity (94.5% [93.3-95.8%] versus 63.8% [61.2-66.4%]) and equivalent sensitivity (70.5% [61.4-79.7%] versus 70.5% [61.4-79.7%]) for detection of CIN3+. HPV integration-negative women accounted for 90.1% (1255/1393) of the total population and had a low immediate CIN3+ risk (2.2%). At 1-year follow-up, the progression rate in the HPV integration-positive women was higher than in the HPV integration-negative women (12.0% versus 2.1%, odds ratio 5.6, 95% CI, 2.6-11.9). In 10 conservatively managed integration-negative CIN2 patients, all showed spontaneous regression and seven showed HPV clearance after 1-year follow-up.

CONCLUSION

The HPV integration test may be a precise risk stratification tool for HPV-positive women and could avoid excessive use of invasive biopsies.

Deep Sequencing of HPV16 E6 Region Reveals Unique Mutation Pattern of HPV16 and Predicts Cervical Cancer

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.