Pattern based classification of endocervical adenocarcinoma: a review

Area of Science:

• Gynecologic Oncology
• Pathology
• Surgical Decision-Making

Background:

• Endocervical adenocarcinoma management relies on FIGO staging, which can be challenging for early stages due to imprecise depth of invasion assessment.
• Current staging may lead to overtreatment and associated morbidities, particularly impacting fertility in young patients.
• A shift towards conservative management is emerging to reduce morbidity and preserve fertility.

Purpose of the Study:

• To review the rationale and background for a conservative approach in treating endocervical adenocarcinoma.
• To summarize a morphology-based risk stratification system for identifying suitable candidates for conservative treatment.
• To evaluate the utility, reproducibility, and recent refinements of this risk stratification system.

Main Methods:

• Review of existing literature and clinical guidelines on endocervical adenocarcinoma management.
• Analysis of a morphology-based risk stratification system for pathological evaluation.
• Discussion of recent updates and refinements to the classification system.

Main Results:

• The International Federation of Gynecology and Obstetrics (FIGO) staging system presents challenges in accurately assessing early-stage disease, potentially leading to overtreatment.
• A morphology-based risk stratification system has been developed to identify endocervical adenocarcinomas that can be treated more conservatively.
• This system aids in recognizing tumors with favorable outcomes, allowing for less radical surgical approaches.

Conclusions:

• A morphology-based classification system offers a valuable tool to refine treatment decisions for endocervical adenocarcinoma.
• It can help identify a subset of patients who may benefit from conservative management, avoiding unnecessary radical surgery.
• This approach has the potential to significantly reduce treatment-related morbidity and preserve fertility in appropriately selected patients.