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Molecular Classification to Prognosticate Response in Medically Managed Endometrial Cancers and Endometrial Intraepithelial Neoplasia.
Puechl, Allison M; Spinosa, Daniel; Berchuck, Andrew; Secord, Angeles Alvarez; Drury, Kerry E; Broadwater, Gloria; Wong, Janice; Whitaker, Regina; Devos, Nicolas; Corcoran, David L; Strickland, Kyle C; Previs, Rebecca A.
Afiliación
  • Puechl AM; Atrium Health, Division of Gynecologic Oncology, Levine Cancer Institute, Charlotte, NC 29204, USA.
  • Spinosa D; Department of Obstetrics & Gynecology, Duke University Medical Center, Durham, NC 27710, USA.
  • Berchuck A; Duke Cancer Institute, Duke University Medical Center, Durham, NC 27710, USA.
  • Secord AA; Duke Cancer Institute, Duke University Medical Center, Durham, NC 27710, USA.
  • Drury KE; Department of Obstetrics & Gynecology, Duke University Medical Center, Durham, NC 27710, USA.
  • Broadwater G; Duke Cancer Institute Biostatistics, Durham, NC 27710, USA.
  • Wong J; Department of Obstetrics & Gynecology, Duke University Medical Center, Durham, NC 27710, USA.
  • Whitaker R; Duke Cancer Institute, Duke University Medical Center, Durham, NC 27710, USA.
  • Devos N; GCB, Department of Biostatistics & Bioinformatics, Duke University, Durham, NC 27710, USA.
  • Corcoran DL; Duke Center for Genomics and Computational Biology, Durham, NC 27710, USA.
  • Strickland KC; Department of Pathology, Duke University Medical Center, Durham, NC 27710, USA.
  • Previs RA; Duke Cancer Institute, Duke University Medical Center, Durham, NC 27710, USA.
Cancers (Basel) ; 13(11)2021 Jun 07.
Article en En | MEDLINE | ID: mdl-34200374
ABSTRACT

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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Cancers (Basel) Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Cancers (Basel) Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos
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