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Updated: May 14, 2026

Heterogeneity Mapping of Protein Expression in Tumors using Quantitative Immunofluorescence
Published on: October 25, 2011
Less is more? Comparison between genomic profiling and immunohistochemistry-based models in endometrial cancer
Emanuele Perrone1, Ilaria Capasso2, Diana Giannarelli3
1Department of Women, Children and Public Health Sciences, Gynecologic Oncology Unit, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy.
Background:
Genomic profiling-based model (GP-M) is the gold-standard for endometrial cancer (EC) molecular classification, but several issues related to the availability of genomic sequencing in low-income settings remain and health disparities in the management are increasing. This study aims to investigate the non-inferiority of the immunohistochemistry-alone model in classifying ECs compared to the standard genomic profiling-based model in terms of oncologic outcomes.
Methods:
All preoperative uterine-confined ECs undergoing surgical staging were retrospectively included. Patients classified by IHC-M were stratified into: MMR-proficient (MMRp), p53 wild type (p53wt) and estrogen receptor (ER) positive, 2) MMRp, p53wt and ER-negative, 3) MMRd, and 4) p53abn. A case-control comparison was performed between the IHC-M and GP-M cohorts. Then, a propensity-matched analysis was performed: ECs classified by IHC-M were matched in a 3:1 ratio with patients classified by GP-M.
Results:
1587 patients with EC were included. The Kaplan-Meier survival curves for disease-free survival and overall survival demonstrated that the two models performed similarly in risk-stratifying the study population (p < 0.0001). Moreover, the AUC-ROC showed overlapping results: 0.77 (0.66-0.87) for IHC-M and 0.72 (0.63-0.81) for GP-M, indicating that both models were able to successfully identify patients at high-risk and low-risk of disease recurrence/progression.
Conclusion:
The IHC-M showed overlapping classification performance compared to the GP-M in terms of oncologic outcomes. This study may lay the basis to further investigate the real-life clinical impact of POLE sequencing in molecular classification and the potential stand-alone prognostic role of ER status for further allocation of EC patients into risk classes.
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