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Author Spotlight: Advancing Reproductive Immunology with a Protocol for the Quantitative Evaluation of Endometrial Immune Cells

Author Spotlight: Advancing Reproductive Immunology with a Protocol for the Quantitative Evaluation of Endometrial Immune Cells

Published on: October 13, 2023

Molecular approaches for classifying endometrial carcinoma.

Josep M Piulats¹, Esther Guerra², Marta Gil-Martín¹

¹Department of Medical Oncology, Catalan Institute of Cancer (ICO), IDIBELL, Hospitalet de Llobregat, Barcelona, Spain.

Gynecologic Oncology

|January 2, 2017

Summary

Molecular classification improves endometrial carcinoma diagnosis by integrating genetic and visual tumor features. Combining TCGA classification with pathology enhances prognosis assessment for high-grade cancers.

Keywords:

Apoptosis Beta-catenin Chromosomal instability E-cadherin Endometrial carcinoma Genetics K-RAS Microsatellite instability PIK3CA PTEN TP53

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Multiplexed Fluorescent Immunohistochemical Staining of Four Endometrial Immune Cell Types in Recurrent Miscarriage

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Published on: August 4, 2021

Area of Science:

Gynecologic Oncology
Molecular Pathology
Cancer Genomics

Background:

Endometrial carcinoma is the most common female genital tract cancer.
Current classification relies on histology, but has limitations, especially for high-grade tumors.
Molecular pathology offers potential improvements.

Purpose of the Study:

To review the utility of molecular techniques for classifying endometrial carcinoma.
To explore the integration of molecular data with morphological features.
To discuss the clinical application of TCGA (The Cancer Genome Atlas) classification.

Main Methods:

Review of current histological classification of endometrial carcinoma.
Discussion of genotype-phenotype correlations and recent advancements.
Analysis of TCGA molecular classification and its impact on clinical practice.

Main Results:

Molecular classification, particularly the TCGA approach, shows promise in refining endometrial carcinoma diagnosis.
Integrating morphological and molecular data can address limitations of purely histological classification.
Intratumor heterogeneity impacts classification accuracy.

Conclusions:

Combining pathological and surrogate TCGA molecular classification is recommended for high-grade endometrial carcinomas.
This integrated approach can improve prognostic assessment.
Molecular pathology is crucial for advancing endometrial cancer classification and treatment.