预测葡萄胎恶变各相关因素的研究进展
Research Progress in Predicting Various Related Factors of Malignant Transformation of Hydatidiform Mole
DOI: 10.12677/md.2024.143040, PDF,   
作者: 刘田田:延安大学医学院,陕西 延安;李红霞*:延安大学附属医院妇产科,陕西 延安
关键词: 葡萄胎恶变Hydatidiform Mole Malignant Transformation
摘要: 目前对于预测葡萄胎恶变的各相关因素已取得了很大的发展,但临床仍使用为期2年的HCG随访和影像学随访,因其随访时间较长,患者依从性下降,易导致葡萄胎恶变未被及时发现,从而导致病情恶化,延误治疗。本研究主要了解现阶段对预测葡萄胎恶变各相关因素的研究进展。为临床预测葡萄胎恶变,以期早期进行预防干预,降低恶变率提供一定的临床帮助。
Abstract: At present, significant progress has been made in predicting various factors related to the malignant transformation of hydatidiform moles. However, a 2-year HCG follow-up and imaging follow-up are still used in clinical practice. Due to their long follow-up time and decreased patient compliance, it is easy for the malignant transformation of hydatidiform moles to not be detected in a timely manner, leading to worsening of the disease and delayed treatment. This study mainly aims to understand the current research progress on various related factors for predicting the malignant transformation of hydatidiform mole. To provide clinical assistance in predicting the malignant transformation of hydatidiform mole and early preventive intervention to reduce the incidence of malignant transformation.
文章引用:刘田田, 李红霞. 预测葡萄胎恶变各相关因素的研究进展[J]. 医学诊断, 2024, 14(3): 271-274. https://doi.org/10.12677/md.2024.143040

参考文献

[1] 马丁, 朱兰, 狄文. 主编. 妇产科学[M]. 第4版. 北京: 人民卫生出版社, 2005: 310-311.
[2] Sun, S.Y., Melamed, A., Goldstein, D.P., Bernstein, M.R., Horowitz, N.S., Moron, A.F., et al. (2015) Changing Presentation of Complete Hydatidiform Mole at the New England Trophoblastic Disease Center Over the Past Three Decades: Does Early Diagnosis Alter Risk for Gestational Trophoblastic Neoplasia? Gynecologic Oncology, 138, 46-49. [Google Scholar] [CrossRef] [PubMed]
[3] Braga, A., Maestá, I., Rocha Soares, R., Elias, K.M., Custódio Domingues, M.A., Barbisan, L.F., et al. (2016) Apoptotic Index for Prediction of Postmolar Gestational Trophoblastic Neoplasia. American Journal of Obstetrics and Gynecology, 215, 336.e1-336.e12. [Google Scholar] [CrossRef] [PubMed]
[4] 秦佳乐. 超声预测葡萄胎恶变及恶变后化疗疗效价值的研究[D]: [博士学位论文]. 杭州: 浙江大学, 2015.
[5] Rakprasit, C., Ruengkhachorn, I., Therasakvichya, S., Inthasorn, P., Achariyapota, V., Kuljarasnont, S., et al. (2022) Combined Analysis of Clinical Features, Human Chorionic Gonadotropin (hCG) Value, and hCG Ratios for Early Prediction of Postmolar Gestational Trophoblastic Neoplasia. Archives of Gynecology and Obstetrics, 307, 1145-1154. [Google Scholar] [CrossRef] [PubMed]
[6] 刘永玲. 彩超在葡萄胎定性诊断及随诊中的应用研究[J]. 影像研究与医学应用, 2020, 4(4): 187-188.
[7] 李茗薇, 吴芳, 程锦, 周萍. 清宫前血细胞相关指标对葡萄胎恶变的预测价值[J]. 中华全科医学, 2023, 21(7): 1161-1164, 1210.
[8] 吴龙英, 韦雯雯, 颜士杰. 155例妊娠滋养细胞疾病临床资料分析[J]. 中华全科医学, 2017, 15(3): 457-459.
[9] Guzel, A.I., Kokanali, M.K., Erkilinc, S., Topcu, H.O., Oz, M., Ozgu, E., et al. (2014) Predictive Role of the Neutrophil Lymphocyte Ratio for Invasion with Gestational Trophoblastic Disease. Asian Pacific Journal of Cancer Prevention, 15, 4203-4206. [Google Scholar] [CrossRef] [PubMed]
[10] 余慧, 王伟红, 熊莉莉, 刘英, 谷小雅, 安瑞芳. 40岁以上妊娠滋养细胞肿瘤患者的临床特征及预后分析[J]. 现代妇产科进展, 2021, 30(7): 488-492.
[11] Santaballa, A., García, Y., Herrero, A., Laínez, N., Fuentes, J., De Juan, A., et al. (2017) SEOM Clinical Guidelines in Gestational Trophoblastic Disease (2017). Clinical and Translational Oncology, 20, 38-46. [Google Scholar] [CrossRef] [PubMed]
[12] Savage, P.M., Sita-Lumsden, A., Dickson, S., Iyer, R., Everard, J., Coleman, R., et al. (2013) The Relationship of Maternal Age to Molar Pregnancy Incidence, Risks for Chemotherapy and Subsequent Pregnancy Outcome. Journal of Obstetrics and Gynaecology, 33, 406-411. [Google Scholar] [CrossRef] [PubMed]
[13] 安瑞芳, 方静. 妊娠滋养细胞疾病与“二胎”妊娠[J]. 西安交通大学学报(医学版), 2017, 38(4): 469-473.
[14] FIGO Oncology Committee (2002) FIGO Staging for Gestational Trophoblastic Neoplasia 2000. International Journal of Gynecology & Obstetrics, 77, 285-287. [Google Scholar] [CrossRef] [PubMed]
[15] 吴齐斌, 谢小燕, 孙晓琦, 王静, 黄小芳, 陈锦辉, 张菲, 薛文煌. 137例葡萄胎病例临床恶变高危因素分析[J]. 海峡预防医学杂志, 2021, 27(3): 108-110.
[16] 段雅洁, 郑嫦娟, 谢亚荣. 妊娠滋养细胞疾病组织中HIF-1α、ANG-1及p53蛋白水平变化及预测葡萄胎恶变[J]. 中国计划生育学杂志, 2023, 31(3): 594-597.
[17] 白云, 赵郡, 张雅静, 张艺玮, 郭钊军, 冯玉珍. 葡萄胎恶变相关危险因素的分析研究[J]. 中国计划生育和妇产科, 2023, 15(12): 69-72, 78.
[18] 蔡丽萍, 王琳, 张姣. 超声联合血清CK、CXCL10检测诊断葡萄胎及预测恶变价值分析[J]. 中国计划生育学杂志, 2022, 30(6): 1290-1293.
[19] 朱烨, 苏亦平, 周璘, 周娟. 血人绒毛膜促性腺激素对葡萄胎恶变的早期预测价值[J]. 中国临床医学, 2016, 23(4): 473-476.
[20] Wu, Q., Chen, L., Song, Y., Zhu, J., Chen, Y. and Sun, P. (2020) Expression Pattern Nanog Is Associated with the Development of Gestational Trophoblastic Neoplasia in Chinese Women from Fujian Province: A Case-Control Study. Gynecological Endocrinology, 37, 108-112. [Google Scholar] [CrossRef] [PubMed]