Predictive value of vaginal lactic acid bacteria changes on occurrence of HR-HPV-infected cervical intraepithelial neoplasia and construction and validation of nomogram model
Abstract Objective To explore the predictive value of vaginal lactic acid bacteria changes on the occurrence of HR-HPV infected cervical intraepithelial neoplasia (CIN), and to construct and validate Nomogram model. Methods The community composition, quantitative distribution and other indicators of...
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2025-07-01
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| Series: | BMC Cancer |
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| Online Access: | https://doi.org/10.1186/s12885-025-14604-z |
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| author | Ying Huang Yuliang Shen Xuemei Wei Jie Feng Lin Zhu |
| author_facet | Ying Huang Yuliang Shen Xuemei Wei Jie Feng Lin Zhu |
| author_sort | Ying Huang |
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| description | Abstract Objective To explore the predictive value of vaginal lactic acid bacteria changes on the occurrence of HR-HPV infected cervical intraepithelial neoplasia (CIN), and to construct and validate Nomogram model. Methods The community composition, quantitative distribution and other indicators of vaginal lactic acid bacteria in patients with and without CIN were detected and analyzed. The key lactic acid bacteria characteristics and other potential risk factors related to CIN were screened out using statistical methods, and then the Nomogram prediction model was constructed. The model discrimination was assessed by the receiver operating characteristic (ROC) and the calibration curves, and decision curves analysis (DCA) was performed to verify the reliability of the model. Results There was no significant difference in the incidence of CIN, baseline data and vaginal lactic acid bacteria parameters between the training set and the verification set (P > 0.05). Univariate analysis identified significant differences in clinical factors (e.g., age of first sexual activity, safety measures) and vaginal lactobacilli (e.g., L. acidophilus, L. jenseni, L. gasseri, L. rhamnosus) between groups (P < 0.05). Multivariate Logistic regression confirmed safety measures, serum progesterone levels, and relative abundances of L. acidophilus, L. crispatus, L. jenseni, and L. rhamnosus as independent risk factors for CIN (P < 0.05). Further, the nomogram prediction model was constructed, and the nomogram model had good calibration and fit between prediction and reality in the training set and the verification set, and the nomogram demonstrated excellent discrimination in the training set and validation set, with calibration curves showing minimal absolute error (0.048 vs. 0.046) and DCA confirming clinical utility across a threshold probability of 0.05–0.95. Conclusion Changes in vaginal lactobacilli (e.g., reduced L. acidophilus, L. jenseni, L. gasseri, and L. rhamnosus) are significantly associated with CIN risk, potentially reflecting dysbiosis-driven vulnerability to HR-HPV persistence The Nomogram model demonstrated high accuracy in internal validation, suggesting its potential utility as a clinician-friendly tool for individualized risk assessment. However, external validation in prospective cohorts is required before clinical implementation. |
| format | Article |
| id | doaj-art-b4450bdfac814f28ad22c06ff92b33a7 |
| institution | Kabale University |
| issn | 1471-2407 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Cancer |
| spelling | doaj-art-b4450bdfac814f28ad22c06ff92b33a72025-08-20T04:03:07ZengBMCBMC Cancer1471-24072025-07-0125111210.1186/s12885-025-14604-zPredictive value of vaginal lactic acid bacteria changes on occurrence of HR-HPV-infected cervical intraepithelial neoplasia and construction and validation of nomogram modelYing Huang0Yuliang Shen1Xuemei Wei2Jie Feng3Lin Zhu4Department of Obstetrics and gynecology reproductive center, The Ninth Medical Center of PLA General HospitalDepartment of Obstetrics and gynecology reproductive center, The Sixth Medical Center of PLA General HospitalDepartment of Clinical Laboratory, The First Medical Center of PLA General HospitalDepartment of Clinical Laboratory, The First Medical Center of PLA General HospitalDepartment of Clinical Laboratory, The First Medical Center of PLA General HospitalAbstract Objective To explore the predictive value of vaginal lactic acid bacteria changes on the occurrence of HR-HPV infected cervical intraepithelial neoplasia (CIN), and to construct and validate Nomogram model. Methods The community composition, quantitative distribution and other indicators of vaginal lactic acid bacteria in patients with and without CIN were detected and analyzed. The key lactic acid bacteria characteristics and other potential risk factors related to CIN were screened out using statistical methods, and then the Nomogram prediction model was constructed. The model discrimination was assessed by the receiver operating characteristic (ROC) and the calibration curves, and decision curves analysis (DCA) was performed to verify the reliability of the model. Results There was no significant difference in the incidence of CIN, baseline data and vaginal lactic acid bacteria parameters between the training set and the verification set (P > 0.05). Univariate analysis identified significant differences in clinical factors (e.g., age of first sexual activity, safety measures) and vaginal lactobacilli (e.g., L. acidophilus, L. jenseni, L. gasseri, L. rhamnosus) between groups (P < 0.05). Multivariate Logistic regression confirmed safety measures, serum progesterone levels, and relative abundances of L. acidophilus, L. crispatus, L. jenseni, and L. rhamnosus as independent risk factors for CIN (P < 0.05). Further, the nomogram prediction model was constructed, and the nomogram model had good calibration and fit between prediction and reality in the training set and the verification set, and the nomogram demonstrated excellent discrimination in the training set and validation set, with calibration curves showing minimal absolute error (0.048 vs. 0.046) and DCA confirming clinical utility across a threshold probability of 0.05–0.95. Conclusion Changes in vaginal lactobacilli (e.g., reduced L. acidophilus, L. jenseni, L. gasseri, and L. rhamnosus) are significantly associated with CIN risk, potentially reflecting dysbiosis-driven vulnerability to HR-HPV persistence The Nomogram model demonstrated high accuracy in internal validation, suggesting its potential utility as a clinician-friendly tool for individualized risk assessment. However, external validation in prospective cohorts is required before clinical implementation.https://doi.org/10.1186/s12885-025-14604-zCervical intraepithelial neoplasiaHR-HPV infectionVaginal lactic acid bacteriaNomogram model |
| spellingShingle | Ying Huang Yuliang Shen Xuemei Wei Jie Feng Lin Zhu Predictive value of vaginal lactic acid bacteria changes on occurrence of HR-HPV-infected cervical intraepithelial neoplasia and construction and validation of nomogram model BMC Cancer Cervical intraepithelial neoplasia HR-HPV infection Vaginal lactic acid bacteria Nomogram model |
| title | Predictive value of vaginal lactic acid bacteria changes on occurrence of HR-HPV-infected cervical intraepithelial neoplasia and construction and validation of nomogram model |
| title_full | Predictive value of vaginal lactic acid bacteria changes on occurrence of HR-HPV-infected cervical intraepithelial neoplasia and construction and validation of nomogram model |
| title_fullStr | Predictive value of vaginal lactic acid bacteria changes on occurrence of HR-HPV-infected cervical intraepithelial neoplasia and construction and validation of nomogram model |
| title_full_unstemmed | Predictive value of vaginal lactic acid bacteria changes on occurrence of HR-HPV-infected cervical intraepithelial neoplasia and construction and validation of nomogram model |
| title_short | Predictive value of vaginal lactic acid bacteria changes on occurrence of HR-HPV-infected cervical intraepithelial neoplasia and construction and validation of nomogram model |
| title_sort | predictive value of vaginal lactic acid bacteria changes on occurrence of hr hpv infected cervical intraepithelial neoplasia and construction and validation of nomogram model |
| topic | Cervical intraepithelial neoplasia HR-HPV infection Vaginal lactic acid bacteria Nomogram model |
| url | https://doi.org/10.1186/s12885-025-14604-z |
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