Endometrial Hyperplasia: Current Insights into Epidemiology, Risk Factors, and Clinical Management
Simple Summary
Abstract
1. Introduction
2. Methodology
3. Epidemiology
4. Risk Factors
4.1. Hormonal Influences
4.2. Metabolic Factors
4.3. Genetic and Molecular Alterations
4.4. Inflammatory and Environmental Factors
4.5. Interaction of Risk Pathways
4.6. Crosstalk Between Metabolic, Hormonal, and Genetic Pathways
5. Clinical Presentation and Diagnosis
5.1. Clinical Presentation
5.2. Imaging Modalities
5.3. Histopathologic Evaluation
5.4. Molecular and Biomarker Approaches
5.5. Differential Diagnosis
6. Classification and Histological Subtypes
6.1. WHO 1994 Classification
6.2. EIN System
6.3. WHO 2014 Revision
6.4. Clinical Implications
7. Management Strategies
7.1. Medical Therapy
7.2. Lifestyle Modification
7.3. Surgical Management
7.4. Fertility-Sparing Approaches
7.5. Emerging and Investigational Therapies
7.6. Surveillance and Follow-Up
8. Molecular Insights and Emerging Therapies
8.1. Molecular Pathogenesis
8.2. Biomarkers for Risk Stratification
8.3. Targeted and Emerging Therapies
8.4. Translational Implications
9. Prevention and Public Health Implications
10. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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| Molecular Alteration | Mechanistic Role | Frequency in Non-Atypical EH | Frequency in Atypical EH/EIN |
|---|---|---|---|
| PTEN loss [59] | Tumor suppressor inactivation leading to PI3K/AKT pathway activation and uncontrolled proliferation | 20–40% | 55–85% [15] |
| KRAS mutation [19] | Activates RAS/MAPK signaling, promoting mitogenic drive | 5–15% | 10–30% |
| PI3K/AKT/mTOR pathway activation [60,61] | Enhances cell growth, survival, and proliferation via aberrant signaling | 10–25% | 35–50% |
| Risk Factor | Mechanism | Examples | Clinical Relevance |
|---|---|---|---|
| Hormonal Influences [13,64] |
|
| Guides progestin therapy and ovulation induction |
| Metabolic Factors [65,66] |
|
| Highlights the importance of metabolic optimization for prevention |
| Genetic and Molecular Alterations [27] |
|
| Supports risk stratification, monitoring, and biomarker-guided therapy |
| Inflammatory and Environmental Factors [65] |
|
| Suggests preventive lifestyle modification |
| Interaction of Risk Pathways [67] | Synergistic effects between hormonal, metabolic, and genetic factors | Examples include obesity + PCOS + insulin resistance | Explains interindividual variation in disease progression |
| Technique | Advantages | Limitations | Best Used For |
|---|---|---|---|
| Pipelle biopsy [80] | Fast, office-based, inexpensive | May miss focal lesions; insufficient samples | Initial evaluation |
| D&C [82] | Broader sampling | Blind procedure; risk of missing focal disease | When office biopsy is inconclusive |
| Hysteroscopic biopsy [83] | Direct visualization; highest accuracy | Requires equipment and expertise | Suspicious focal lesions or atypia |
| Diagnostic Method | Sensitivity (%) | Specificity (%) | Notes/Clinical Use |
|---|---|---|---|
| TVUS [88,89] | 80–90 | 85–90 | First-line test Assesses endometrial thickness and general morphology |
| SIS [90,91] | Higher than TVUS | Higher than TVUS | Best for evaluating focal lesions (polyps, localized hyperplasia) |
| MRI [92] | High for complex lesions | High | Reserved for indeterminate or suspicious cases |
| Pipelle biopsy [80] | 70–90 | 98–100 | Office-based May miss focal disease |
| Hysteroscopy (with biopsy) [93] | >95 | >95 | Gold standard for focal lesions and atypia detection |
| Category | Key Mechanisms | Clinical Relevance | Examples |
|---|---|---|---|
| Molecular Pathogenesis [127,128] |
|
|
|
| Biomarkers for Risk Stratification [15] | IHC markers such as Ki-67, p53, and MMR proteins assess proliferative index and genomic stability |
|
|
| Targeted and Emerging Therapies [54] | Development of SPRMs, aromatase inhibitors, and inhibitors of PI3K/AKT/mTOR pathways |
|
|
| Translational Implications [15,27] | Molecular profiling informs surveillance, early detection, and risk-adapted intervention strategies | Identifies high-risk patients and supports future integration of molecular diagnostics into routine care |
|
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Galani, A.; Stavros, S.; Moustakli, E.; Potiris, A.; Zikopoulos, A.; Anagnostaki, I.; Zacharis, K.; Paraskevaidi, M.; Lyons, D.; Maneta-Stavrakaki, S.; et al. Endometrial Hyperplasia: Current Insights into Epidemiology, Risk Factors, and Clinical Management. Cancers 2026, 18, 148. https://doi.org/10.3390/cancers18010148
Galani A, Stavros S, Moustakli E, Potiris A, Zikopoulos A, Anagnostaki I, Zacharis K, Paraskevaidi M, Lyons D, Maneta-Stavrakaki S, et al. Endometrial Hyperplasia: Current Insights into Epidemiology, Risk Factors, and Clinical Management. Cancers. 2026; 18(1):148. https://doi.org/10.3390/cancers18010148
Chicago/Turabian StyleGalani, Apostolia, Sofoklis Stavros, Efthalia Moustakli, Anastasios Potiris, Athanasios Zikopoulos, Ismini Anagnostaki, Konstantinos Zacharis, Maria Paraskevaidi, Deirdre Lyons, Stefania Maneta-Stavrakaki, and et al. 2026. "Endometrial Hyperplasia: Current Insights into Epidemiology, Risk Factors, and Clinical Management" Cancers 18, no. 1: 148. https://doi.org/10.3390/cancers18010148
APA StyleGalani, A., Stavros, S., Moustakli, E., Potiris, A., Zikopoulos, A., Anagnostaki, I., Zacharis, K., Paraskevaidi, M., Lyons, D., Maneta-Stavrakaki, S., Thomakos, N., Kyrgiou, M., & Domali, E. (2026). Endometrial Hyperplasia: Current Insights into Epidemiology, Risk Factors, and Clinical Management. Cancers, 18(1), 148. https://doi.org/10.3390/cancers18010148

