Molecular Classification to Prognosticate Response in Medically Managed Endometrial Cancers and Endometrial Intraepithelial Neoplasia.

Journal Article (Journal Article)

BACKGROUND: The aim of this study was to evaluate whether molecular classification prognosticates treatment response in women with endometrial cancers and endometrial intraepithelial neoplasia (EIN) treated with levonorgestrel intrauterine system (LNG-IUS). METHODS: Patients treated with LNG-IUS for endometrial cancer or EIN from 2013 to 2018 were evaluated. Using immunohistochemistry and single gene sequencing of POLE, patients were classified into four groups as per the Proactive Molecular Risk Classifier for Endometrial cancer (ProMisE): POLE-mutated, mismatch repair-deficient (MMRd), p53 wild type (p53wt), and p53-abnormal (p53abn). Groups were assessed relative to the primary outcome of progression or receipt of definitive treatment. RESULTS: Fifty-eight subjects with endometrioid endometrial cancer or EIN treated with LNG-IUS were included. Of these, 22 subjects (37.9%) had endometrial cancer and 36 subjects (62.1%) had EIN. Per the ProMisE algorithm, 44 patients (75.9%) were classified as p53wt, 6 (10.3%) as MMRd, 4 (6.9%) as p53abn, and 4 (6.9%) as POLE-mutated. Of the 58 patients, 11 (19.0%) progressed or opted for definitive therapy. Median time to progression or definitive therapy was 7.5 months, with p53abn tumors having the shortest time to progression or definitive therapy. CONCLUSIONS: Molecular classification of endometrial cancer and EIN prior to management with LNG-IUS is feasible and may predict patients at risk of progression.

Full Text

Duke Authors

Cited Authors

  • Puechl, AM; Spinosa, D; Berchuck, A; Secord, AA; Drury, KE; Broadwater, G; Wong, J; Whitaker, R; Devos, N; Corcoran, DL; Strickland, KC; Previs, RA

Published Date

  • June 7, 2021

Published In

Volume / Issue

  • 13 / 11

PubMed ID

  • 34200374

Pubmed Central ID

  • PMC8201008

International Standard Serial Number (ISSN)

  • 2072-6694

Digital Object Identifier (DOI)

  • 10.3390/cancers13112847

Language

  • eng

Conference Location

  • Switzerland