Current medical science · 2024
Genome-integrated Human Papilloma Viruses Testing: A Complement to Colposcopy-guided Biopsy for Cervical Cancer Screening.
СтатьяНазвание и аннотация: Перевод в очереди
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Xie Han, Li Li, Zhu Tao, Zhou Hu, He Liang, Yang Fan, Chen Shi-Min, Huang Xiao-Yuan, Ma Ding, Hu Ting, Zhuang Liang
Аннотация
OBJECTIVE: Our research aims to evaluate the diagnostic accuracy of colposcopy-guided biopsy (CGB) in detecting high-grade cervical lesions and explore how human papilloma virus (HPV) integration status and other factors affect its performance.
METHODS: A retrospective cohort analysis involving 550 patients was conducted to evaluate whether the HPV integration plays a role in identifying high-grade cervical lesions and cervical cancer. Logistic regression models and area under the curve (AUC) calculations were employed.
RESULTS: Our findings revealed that 53.5% of CGB/surgery pairs demonstrated congruent diagnoses, whereas 17.1% showed underestimation and 29.5% overestimation. Furthermore, multivariate logistic regression analysis identified several key predictors for cervical intraepithelial neoplasia (CIN)2+ and CIN3+ according to surgical pathology. Notably, a CGB confirming CIN2+ [odds ratio (OR)=6.0, 95% confidence interval (CI): 3.9-9.1, P<0.001], high-grade cytology (OR=2.6, 95% CI: 1.4-1.9, P=0.003), and HPV integration positivity (OR=2.2, 95% CI: 1.3-3.5, P<0.001) emerged as significant factors for CIN2+. Similarly, for CIN3+ identification, CGB confirming CIN2+ (OR=5.3, 95% CI: 3.4-8.3, P<0.001), high-grade cytology (OR=2.6, 95% CI: 1.5-4.7, P=0.001), and HPV integration positivity (OR=2.0, 95% CI: 1.3-3.1, P=0.003) were independent predictors.
CONCLUSION: Our study highlights the innovative role of HPV integration testing as a pivotal adjunct to CGB and cytology, offering a comprehensive approach that may enhance the diagnostic precision for high-grade cervical lesions, ultimately achieving more precise management strategies.
METHODS: A retrospective cohort analysis involving 550 patients was conducted to evaluate whether the HPV integration plays a role in identifying high-grade cervical lesions and cervical cancer. Logistic regression models and area under the curve (AUC) calculations were employed.
RESULTS: Our findings revealed that 53.5% of CGB/surgery pairs demonstrated congruent diagnoses, whereas 17.1% showed underestimation and 29.5% overestimation. Furthermore, multivariate logistic regression analysis identified several key predictors for cervical intraepithelial neoplasia (CIN)2+ and CIN3+ according to surgical pathology. Notably, a CGB confirming CIN2+ [odds ratio (OR)=6.0, 95% confidence interval (CI): 3.9-9.1, P<0.001], high-grade cytology (OR=2.6, 95% CI: 1.4-1.9, P=0.003), and HPV integration positivity (OR=2.2, 95% CI: 1.3-3.5, P<0.001) emerged as significant factors for CIN2+. Similarly, for CIN3+ identification, CGB confirming CIN2+ (OR=5.3, 95% CI: 3.4-8.3, P<0.001), high-grade cytology (OR=2.6, 95% CI: 1.5-4.7, P=0.001), and HPV integration positivity (OR=2.0, 95% CI: 1.3-3.1, P=0.003) were independent predictors.
CONCLUSION: Our study highlights the innovative role of HPV integration testing as a pivotal adjunct to CGB and cytology, offering a comprehensive approach that may enhance the diagnostic precision for high-grade cervical lesions, ultimately achieving more precise management strategies.