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Objective To explore the rule of drug use in treating high-risk cervical human papilloma virus(HPV)infection by using data mining method.Methods Medical records and prescriptions of patients with high-risk HPV infection treated at Wang Jin Outpatient Department of Lishui Hospital of Traditional Chinese Medicine Affiliated to Zhejiang Chinese Medical University from January 1,2021 to December 1,2022 were collected.SPSS Modeler 18.0 and SPSS 25.0 were used for drug use frequency,association rules,clustering and other data analysis.Results A total of 100 prescriptions were included,involving a total of 162 Chinese materia medicas,with a total of 1445 times of Chinese materia medicas.The drugs with the highest frequency of use were mainly tonic drugs,antipyretic drugs,regulating vital energy drugs and tranquillizing drugs.Complex network analysis showed that there were close correlation among hedyotis,dried tangerine peel,immature tangerine peel,silktree albizia bark and buffalo horn.Three potential new prescriptions were explored.Conclusion The disease was mostly caused by deficiency in origin and excess in pathological products,and the treatment was to treat both symptoms and root causes,and to attack and supplement,with the treatment of clearing heat and removing toxicity,eliminating dampness,benefiting qi for activating blood circulation and nourishing yin,supplemented by nourishing heart for tranquillization.
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Cervical cancer remains the leading cause of cancerous death among women worldwide. Oleanolic acid (OA) is a substance that occurs naturally in the leaves, fruits, and rhizomes of plants and has anti-cancer activity. In this study, tumor-bearing mice were used as the animal model and Hela cells were used as cellular model. In vivo experiments have showed that OA significantly reduced the size and mass of cervical cancer tumors in mice. In vitro experiments have showed that OA significantly reduced the viability and proliferative capacity of Hela cells. In both in vivo and in vitro assays, OA increased the oxidative stress levels and Fe2+ content, and increased the expression of ferroptosis-related proteins. We found that ACSL4 was highly expressed in both xenograft models and cervical carcinoma cells with OA treatment. Further use of siRNA to interfere with ACSL4 expression in cervical cancer cells revealed that the inhibitory effect of OA on cell viability and proliferative capacity was counteracted, while a decrease in ROS levels and GPX4 was detected, suggesting that OA activated ferroptosis in Hela cells by promoting ACSL4 expression, thereby reducing the survival rate of Hela cells. Therefore, promotion of ACSL4-dependent ferroptosis by OA may be a potential approach for the treatment of cervical cancer.