Significance of serum and pathological biomarkers in fertility-sparing treatment for endometrial cancer or atypical hyperplasia: a retrospective cohort study

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

PURPOSE OF REVIEW

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.

RECENT FINDINGS

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.

Correlation between steroid receptor expression and response to progestational therapy in patients with atypical endometrial hyperplasia or cancer

Background

Conservative management of atypical endometrial hyperplasia (AEH) or endometrial cancer (EMCA) often relies on the treatment of synthetic progestins, which show varied success and response rates. We evaluate the correlation between steroid receptor expression and response to progestin therapy in patients with AEH and EMCA.

Methods

Retrospective cohort study collected data for patients with AEH or EMCA who had an endometrial sample after receiving conservative therapy utilizing either Megestrol acetate or Levonorgestrel Intrauterine device (IUD). Immunohistochemistry (IHC) was performed on pre- and post- treatment biopsy samples to assess androgen receptor (AR), estrogen receptor (ER), and progesterone receptor (PR) expression. IHC scores (1-12) were calculated based on staining intensity and percentage of positive cells.

Results and analysis

We identified 15 patients with AEH and EMCA between 2015 and 2023 with the majority of African American ethnicity (53 %). Fourteen patients (93 %) received Megestrol acetate, and 1 patient received Levonorgestrel IUD alone. Three patients ultimately underwent hysterectomy. Seven (46.6 %) endometrial samples had strong positivity for AR, PR and ER expression on pre-treatment biopsies, and only 3 (20 %) of them maintained strong positivity for the 3 receptors in the post-treatment. Patients who successfully responded to the treatment demonstrated a significantly greater decrease in IHC scores after the treatment compared to those who did not respond (p = 0.009).

Conclusion

Steroid receptor expression could be used as a possible biomarker for response to progestin therapy in patients undergoing conservative management for AEH and EMCA.

Identification of potential models for predicting progestin insensitivity in patients with endometrial atypical hyperplasia and endometrioid endometrial cancer based on ATAC-Seq and RNA-Seq integrated analysis

Objective: The aim of this study was to establish predictive models based on the molecular profiles of endometrial lesions, which might help identify progestin-insensitive endometrial atypical hyperplasia (EAH) or endometrioid endometrial cancer (EEC) patients before progestin-based fertility-preserving treatment initiation.

Methods: Endometrial lesions from progestin-sensitive (PS, n = 7) and progestin-insensitive (PIS, n = 7) patients were prospectively collected before progestin treatment and then analyzed by ATAC-Seq and RNA-Seq. Potential chromatin accessibility and expression profiles were compared between the PS and PIS groups. Candidate genes were identified by bioinformatics analyses and literature review. Then expanded samples (n = 35) were used for validating bioinformatics data and conducting model establishment.

Results: ATAC-Seq and RNA-Seq data were separately analyzed and then integrated for the subsequent research. A total of 230 overlapping differentially expressed genes were acquired from ATAC-Seq and RNA-Seq integrated analysis. Further, based on GO analysis, REACTOME pathways, transcription factor prediction, motif enrichment, Cytoscape analysis and literature review, 25 candidate genes potentially associated with progestin insensitivity were identified. Finally, expanded samples were used for data verification, and based on these data, three predictive models comprising 9 genes (FOXO1, IRS2, PDGFC, DIO2, SOX9, BCL11A, APOE, FYN, and KLF4) were established with an overall predictive accuracy above 90%.

Conclusion: This study provided potential predictive models that might help identify progestin-insensitive EAH and EEC patients before fertility-preserving treatment.