Weight Management for Fertility-Preservation Therapy in Endometrial Cancer: Opportunities and Challenges

XiaoDan Li & Jianliu Wang et al. · 2025-02-06

4Citations
Obesity is increasingly recognized as a significant factor impacting the outcomes of fertility-preserving therapies for endometrial cancer (EC). This review explores the effects of glycolipid metabolism on EC and its relationship with body weight. We will examine how excess body weight influences the effectiveness of fertility-preserving treatments and discuss potential mechanisms for effective weight management. Additionally, the review highlights the importance of comprehensive weight management as an adjunct strategy to enhance the efficacy of fertility-preserving interventions, providing insights into how to integrate metabolic health into clinical treatment protocols. Weight management can modify the tumor microenvironment by depriving the tumor of nutrients, whereas exercise can enhance immunity, potentially leading to tumor cell death. In addition, progesterone therapy may impede the proliferation of EC cells. Comprehensive weight management can serve as an essential adjuvant treatment for patients undergoing fertility-preserving therapies for EC. In this review, we highlight that comprehensive weight management can serve as a crucial adjuvant treatment for patients undergoing fertility-preserving therapies for endometrial cancer. Targeting glycolipid metabolism and addressing adiposity can improve hormonal balance, reduce inflammation, and enhance fertility outcomes. Further research is necessary to establish specific protocols and evaluate the effectiveness of these strategies in clinical practice.
TL;DR

It is highlighted that comprehensive weight management can serve as a crucial adjuvant treatment for patients undergoing fertility-preserving therapies for endometrial cancer and targeting glycolipid metabolism and addressing adiposity can improve hormonal balance, reduce inflammation, and enhance fertility outcomes.

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Authors
XiaoDan Li, YiQian Chen, XiaoWei Li, Xiao Yang, Ling Zhou, Yuan Cheng, HongYi Hou, Dandan Yang, Yuanyuan Gong, Haihua Xiao, Jianliu Wang