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血清CA125相关参数在上皮性卵巢癌化疗敏感性及预后预测方面的研究进展
Research Progress in Serum CA125 Related Parameters in Chemotherapy Sensitivity and Prognosis Prediction in Epithelial Ovarian Cancer

DOI: 10.12677/acm.2024.14112992, PP. 1127-1134

Keywords: 血清CA125,上皮性卵巢癌,化疗敏感性,KELIM,预后
Serum CA125
, Epithelial Ovarian Cancer, Chemotherapy Sensitivity, KELIM, Prognosis

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Abstract:

本文综述了血清CA125相关参数在上皮性卵巢癌化疗敏感性及预后预测方面的研究现状及进展。首先,介绍了血清CA125检测在上皮性卵巢癌化疗敏感性预测及预后预测领域的背景及重要性。接着,通过对国内外相关文献的梳理和分析,详细阐述了术前CA125水平、血清CA125最低值、血清CA125半衰期、GCIG CA125应答、CA125消除速率常数K值(即KELIM)这五个基于上皮性卵巢癌治疗过程中血清CA125变化发展而来的参数的研究现状及其特点。通过总结以往研究及文献发现,目前各项血清CA125相关参数在预测上皮性卵巢癌化疗敏感性及预后方面皆有不足,主要表现在计算方式复杂及截断值不一致,CA125消除速率常数K值(即KELIM)是近年来出现的一个较稳定及经济便携的预后预测指标,可以为未来上皮性卵巢癌预后预测模型建立提供一个新的参考,并为后续研究提供一些思路和建议。
This article summarizes the current research status and advancements in the use of serum CA125-related parameters for predicting chemotherapy sensitivity and prognosis in epithelial ovarian cancer. Firstly, it introduces the background and importance of serum CA125 detection in predicting chemotherapy sensitivity and prognosis for epithelial ovarian cancer. Subsequently, through a review and analysis of relevant domestic and international literature, the research status and characteristics of five parameters derived from serum CA125 changes during the treatment of epithelial ovarian cancer are elaborated in detail: preoperative CA125 levels, nadir CA125 levels, CA125 half-life, GCIG CA125 response, and the CA125 elimination rate constant K value (KELIM). By summarizing previous studies and literature, it is found that the current serum CA125-related parameters have limitations in predicting chemotherapy sensitivity and prognosis for epithelial ovarian cancer, mainly manifested in complex calculation methods and inconsistent cutoff values. Among these, the CA125 elimination rate constant K value (KELIM) is a relatively stable, economical, and portable prognostic indicator that has emerged in recent years. It can provide a new reference for the establishment of future prognostic prediction models for epithelial ovarian cancer and offer some ideas and suggestions for subsequent research.

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