RB Loss in p53 Abnormal Endometrial Carcinoma: Histological and Clinicopathological Correlates
Journal Title
Modern Pathology
Publication Type
Online publication before print
Abstract
Of the four molecular subtypes of endometrial cancer (EC), p53-abnormal (p53abn) EC is associated with abundant copy number alterations (CNAs) and the worst clinical outcome. Patients with p53abn EC have the highest risk of disease recurrence and death, independent of tumor grade and histologic subtype. Currently, all invasive p53abn ECs are considered high risk, and no prognostic biomarkers have yet been found that can aid in clinical management. Here, we aimed to test whether loss of retinoblastoma protein (RB) expression using immunohistochemistry (IHC) has potential for prognostic refinement of p53abn EC. A large cohort of 227 p53abn ECs collected from the PORTEC-1/2/3 clinical trials and the MST cohort study was investigated, and RB loss was identified in 7.0% (n=16/227). RB-lost p53abn ECs were predominantly high-grade endometrioid ECs (n=6, 37.5%) and carcinosarcomas with endometrioid-type epithelial component (n=5, 31.3%). Histologically, RB-lost p53abn EC were typified by high grade nuclear atypia (n=16, 100%), predominantly solid growth pattern (n=15/16, 93.8%), and polypoid growth (n=9/16, 56.3%). Copy number loss involving the RB1 locus was identified in the majority of RB-lost p53abn EC (n=13/14, 92.9%), explaining the loss of RB expression. Comparative analysis also showed that RB-lost p53abn EC were diagnosed at earlier stages than RB-retained p53abn EC (p=0.014). Interestingly, RB-lost p53abn EC showed prolonged time to overall recurrence (p=0.038), even within stage I alone (p=0.040). These findings highlight distinct morphomolecular features in RB-lost p53abn EC and confirm the utility of RB IHC as a surrogate for molecular RB1 alterations. This is the first study to show the potential use of RB in prognostic refinement of p53abn EC, although validation is warranted.
Department(s)
Radiation Oncology
Open Access at Publisher's Site
https://doi.org/10.1016/j.modpat.2024.100660
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