The immunohistochemical molecular risk classification in endometrial cancer: A pragmatic and high-reproducibility method

Domenica Lorusso, Camilla Nero, Gian Franco Zannoni, Giovanni Scambia, Francesco Fanfani, Ilaria Capasso, Ettore Distefano, Damiano Arciuolo, Emanuele Perrone, Francesca De Felice

Risultato della ricerca: Contributo in rivistaArticolo in rivista

Abstract

Introduction: The aim of this study is to assess the clinical reproducibility and the potential oncological validity of the molecular information provided by the immunohistochemistry (IHC) to properly stratify the endometrial cancer patients. Methods: Retrospective IHC analyses were conducted in a large series of 778 pre-operative uterine-confined ECs, studying the presence/absence of MLH1, MSH2, MSH6 and PMS2 to define the mismatch repair (MMR) stable or instable phenotype; the presence of p53 mutations and other molecular features. The molecular profile was correlated with histological, clinical and prognostic data. Results: Based on IHC assessment, we defined 3 EC populations: stable MMR patients (MMRs), instable patients (MMRi) and p53 mutated patients (p53+). Our result demonstrated that the IHC stratification statistically correlated with the most relevant pathologic-clinical features: FIGO stage (p < 0.001), grading (p < 0.001), histotype (p < 0.001), presence of LVSI (p < 0.001), myometrial invasion and tumor dimension (p = 0.003 for both). These 3 IHC populations statistically reflected the EC risk class ESGO-ESMO-ESP classification 2021 (p < 0.001). These results were also confirmed in the Kaplan-Meier curves in terms of overall survival (OS) and disease-free survival (DFS) (p < 0.0001). The multivariate analyses demonstrated that absence of estrogen receptor (ER) impacted the OS (p = 0.011) and, the Age > 60 years and the ER-status the DFS (p = 0.041 and p = 0.004). Conclusion: In this large series, we demonstrated that the pragmatic and systematic use of IHC may have an important role to properly stratify, in terms of histological features and clinical outcomes, the EC patients.
Lingua originaleEnglish
pagine (da-a)180-189
Numero di pagine10
RivistaGynecologic Oncology
DOI
Stato di pubblicazionePubblicato - 2022

Keywords

  • Endometrial cancer
  • Precision medicine
  • Molecular classification
  • Gynecologic oncology

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