Cancer Genetics and Epigenetics, 2025, Vol.13, No.1, 32-40 http://medscipublisher.com/index.php/cge 38 patterns, and predict treatment effects. AI-based gene expression analysis can help us separate high-risk and low-risk patients. Doctors can also develop treatments that are more suitable for each person based on their genetic characteristics, which may allow more people to live longer (Nguyen et al., 2020). 8.3 Potential new therapies for newly discovered gene pathways Through deeper genomic analysis, researchers have discovered some new gene pathways, which may become new directions for the treatment of cervical cancer in the future. Some genes, such as PIK3CA and ERBB2, are often mutated in cervical cancer and may be useful therapeutic targets (Kori and Arga, 2018; Friedman et al., 2023). There are also some new biomarkers, such as miRNAs and transcription factors, which may also become the focus of new drug development. They bring new possibilities for improving treatment effectiveness and improving patient prognosis (Shah et al., 2020). 9 Integration of Genotyping in Multidisciplinary Care 9.1 Collaborative roles of oncologists, geneticists, and bioinformaticians The introduction of genotyping in cervical cancer treatment requires the cooperation of people from different professions. Oncologists mainly formulate treatment plans based on the patient's condition; geneticists are responsible for identifying genetic variants and explaining whether these variants will affect treatment; bioinformaticians process large amounts of genetic data to find useful mutations and therapeutic targets (Crowley et al., 2021; Huang et al., 2021; Friedman et al., 2023). This collaboration allows genetic data to be truly used for personalized treatment plans (Berger and Mardis, 2018). 9.2 Development of standardized protocols for gene-driven therapy To make good use of genetic information in cervical cancer, there must be a unified process. These processes should include genetic testing, data interpretation, and doctors combining these data to determine the direction of treatment. Standardization can make it easier for different hospitals and doctors to use genetic data to help patients (Diefenbach et al., 2020; Friedman et al., 2023; Zhao et al., 2024). With clear guidelines, doctors can more smoothly turn test results into personalized treatment recommendations for patients (Berger and Mardis, 2018; Áyen et al., 2020). 9.3 The importance of patient education and informed consent The use of genetic testing in cervical cancer care cannot be without the understanding and cooperation of patients. Doctors need to let patients know the possible benefits and limitations of genetic testing so that they can make clear choices. Informed consent can also ensure that patients know the impact of testing on privacy and the risk of discovering other unexpected problems (Roszik et al., 2018; Crowley et al., 2021; Li et al., 2021). The more patients understand, the more willing they are to cooperate with treatment, and the better personalized plans can be implemented (Nguyen et al., 2020; Huang et al., 2021). Acknowledgments The author is grateful to the reviewers for their thorough review and balanced suggestions. Conflict of Interest Disclosure The author affirms that this research was conducted without any commercial or financial relationships that could be construed as a potential conflict of interest. References Almeida A., Queiroz J., Sousa F., and Sousa Â., 2019, Cervical cancer and HPV infection: ongoing therapeutic research to counteract the action of E6 and E7 oncoproteins, Drug Discovery Today, 24(10): 2044-2057. https://doi.org/10.1016/j.drudis.2019.07.011 Áyen Á., Martínez Y., and Boulaiz H., 2020, Targeted gene delivery therapies for cervical cancer, Cancers, 12(5): 1301. https://doi.org/10.3390/cancers12051301 Bahrami A., Hasanzadeh M., Shahidsales S., Farazestanian M., Hassanian S., Ahmadi M., Maftouh M., Gharib M., Yousefi Z., Kadkhodayan S., Ferns G., and Avan A., 2018, Genetic susceptibility in cervical cancer: from bench to bedside, Journal of Cellular Physiology, 233(3): 1929-1939. https://doi.org/10.1002/jcp.26019
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