Expression Profiles of KRT17，STOML2 and miR-196a in Cervical Lesions and Their Predictive Value for Cervical Cancer Prognosis

Yihua LV; Chao CHANG; Xueqin DIAO; Shan YU

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Yihua LV, Chao CHANG, Xueqin DIAO, Shan YU. Expression Profiles of KRT17，STOML2 and miR-196a in Cervical Lesions and Their Predictive Value for Cervical Cancer Prognosis[J]. Journal of Kunming Medical University.

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Yihua LV, Chao CHANG, Xueqin DIAO, Shan YU. Expression Profiles of KRT17，STOML2 and miR-196a in Cervical Lesions and Their Predictive Value for Cervical Cancer Prognosis[J]. Journal of Kunming Medical University.

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Expression Profiles of KRT17，STOML2 and miR-196a in Cervical Lesions and Their Predictive Value for Cervical Cancer Prognosis

1.
Department of Blood Transfusion，Jinan Maternal and Child Health Hospital，Jinan Shandong 250001
2.
Department of Quality Control，Jinan Blood Supply and Assurance Center，Jinan Shandong 250001
3.
Department of Obstetrics and Gynecology，Jinan Maternal and Child Health Hospital，Jinan Shandong 250001，China

Received Date: 2025-08-07
Available Online: 2026-01-10

Abstract

Abstract

Objective To investigate the expression of keratin 17 （KRT17）, Stomatin-like protein 2 （STOML2） and micrornA-196A （miR-196a） in cervical lesion tissues and to evaluate their value in the pathological evaluation of cervical cancer. Methods A total of 206 cervical tissue samples were retrospectively enrolled from January 2022 to January 2024, including 98 cases of cervical cancer, 65 cases of cervical intraepithelial neoplasia grade 3 （CIN3）, and 43 normal controls. Expression levels of KRT17 mRNA, STOML2 mRNA, and miR-196a were detected by RT-qPCR, and their associations with clinicopathological characteristics of cervical cancer were analyzed. One-year outcomes were followed up in cervical cancer patients. Cox regression analysis was performed to identify prognostic factors. Receiver operating characteristic （ROC） curve analysis was used to evaluate the predictive performance of single and combined indicators. In addition, Western blot analysis was conducted to validate the phosphorylation levels of key proteins involved in STOML2-related signaling pathways. Results Expression levels of KRT17 mRNA, STOML2 mRNA, and miR-196a showed a progressive increasing trend from the control group to the CIN3 group, and the cervical cancer group （P < 0.05）. Multivariate logistic regression analysis demonstrated that, after adjustment for potential confounding factors, the expression levels of all three molecules were independent factors associated with the grade of cervical lesions. Specifically, elevated expression of KRT17 mRNA （OR = 2.42, 95%CI: 1.61～3.66, P < 0.001）, STOML2 mRNA （OR = 2.19, 95%CI: 1.39～3.46, P = 0.001）, and miR-196a （OR = 2.76, 95%CI: 1.65～4.32, P < 0.001） was significantly associated with higher lesion grades. High expression levels of KRT17 mRNA, STOML2 mRNA, and miR-196a in cervical cancer tissues were correlated with TNM stage, degree of differentiation, and lymph node metastasis （P < 0.05）. Among the 98 cervical cancer patients, 17 deaths （17.35%） were recorded during the 1-year follow-up. Cox regression analysis identified TNM stage III, poor differentiation, lymph node metastasis, and high expression of KRT17 mRNA, STOML2 mRNA, and miR-196a in cancer tissues as independent risk factors for mortality （P < 0.05）. The combined detection of KRT17 mRNA, STOML2 mRNA, and miR-196a in cancer tissues demonstrated good prognostic performance for cervical cancer, with an area under the ROC curve （AUC） of 0.873, a sensitivity of 61.73%, and a specificity of 99.06%. Western blot analysis further indicated that downregulation of STOML2 inhibited the phosphorylation levels of NF-κB pathway–related proteins. Conclusion KRT17, STOML2, and miR-196a are highly expressed in cervical cancer tissues and are associated with poor prognosis. They collaboratively promote tumor progression through the AKT/mTOR and NF-κB signaling pathways. Combined detection of the three markers can improve the prognostic prediction accuracy in cervical cancer patients, indicating potential clinical translational value.
- Keratin 17,
- Stomatin-like protein 2,
- Microrna-196a,
- Cervical cancer,
- Pathology

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