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Updated: Jun 12, 2025

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Identification of low-risk cases of invasive endocervical adenocarcinoma with Silva pattern-based classification: a

Nikita Sinha1, Olivia D Lara1, Kimberly Dessources1

  • 1Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA.

Gynecologic Oncology Reports
|June 10, 2025
PubMed
Summary
This summary is machine-generated.

The Silva classification system effectively predicts invasive endocervical adenocarcinoma (EAC) outcomes. Pattern A indicates a low risk of metastasis, recurrence, and death, while patterns B and C show intermediate and high risks, respectively.

Keywords:
Endocervical adenocarcinomaLymph node metastasisPathologySilva classification systemSilva pattern of invasion

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Area of Science:

  • Gynecologic Oncology
  • Pathology
  • Cancer Prognostics

Background:

  • Invasive endocervical adenocarcinoma (EAC) classification is crucial for predicting patient outcomes.
  • The Silva pattern-based classification system offers a potential method for risk stratification in EAC.

Purpose of the Study:

  • To evaluate the discriminatory ability of the Silva pattern-based classification system in predicting lymph node (LN) metastasis, recurrence, and death in patients with EAC.
  • To establish distinct risk profiles for EAC based on Silva patterns A, B, and C.

Main Methods:

  • Systematic literature search of PubMed, Scopus, and Embase up to 2024 for studies on EAC classified by Silva patterns.
  • Inclusion of studies reporting outcomes of LN metastasis, recurrence, or death.
  • Random-effects meta-analysis to summarize binomial proportions and compare outcomes between Silva patterns.

Main Results:

  • 19 studies with 2998 patients were analyzed: 20.8% pattern A, 23.1% pattern B, 54.1% pattern C.
  • Silva pattern A showed significantly lower risks of LN metastasis (0.6%) compared to pattern B (6.1%) and pattern C (22.0%).
  • Pattern A cases had distinctly low risks (0.3%) for recurrence and death, significantly lower than patterns B/C. Pattern B showed lower risks than pattern C for all outcomes.

Conclusions:

  • The Silva classification system is highly predictive of oncologic outcomes in EAC, with distinct low (A), intermediate (B), and high (C) risk profiles.
  • The low-risk profile of pattern A may support de-escalation of surgical and adjuvant treatments.
  • Pattern C cases might benefit from consideration of adjuvant treatment escalation.