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Utility of the revised FIGO2023 staging with molecular classification in endometrial cancer.
Kobayashi-Kato, Mayumi; Fujii, Erisa; Asami, Yuka; Ahiko, Yuka; Hiranuma, Kengo; Terao, Yasuhisa; Matsumoto, Koji; Ishikawa, Mitsuya; Kohno, Takashi; Kato, Tomoyasu; Shiraishi, Kouya; Yoshida, Hiroshi.
Afiliación
  • Kobayashi-Kato M; Division of Genome Biology, National Cancer Center Research Institute, Tokyo 104-0045, Japan; Department of Gynecology, National Cancer Center Hospital, Tokyo 104-0045, Japan.
  • Fujii E; Division of Genome Biology, National Cancer Center Research Institute, Tokyo 104-0045, Japan; Department of Gynecology, National Cancer Center Hospital, Tokyo 104-0045, Japan.
  • Asami Y; Division of Genome Biology, National Cancer Center Research Institute, Tokyo 104-0045, Japan; Department of Obstetrics and Gynecology, Showa University School of Medicine, Tokyo 142-8555, Japan.
  • Ahiko Y; Division of Frontier Surgery, The Institute of Medical Science, The University of Tokyo, Tokyo 108-8639, Japan.
  • Hiranuma K; Division of Genome Biology, National Cancer Center Research Institute, Tokyo 104-0045, Japan; Department of Obstetrics and Gynecology, Juntendo University Faculty of Medicine, Tokyo 113-8421, Japan.
  • Terao Y; Department of Obstetrics and Gynecology, Juntendo University Faculty of Medicine, Tokyo 113-8421, Japan.
  • Matsumoto K; Department of Obstetrics and Gynecology, Showa University School of Medicine, Tokyo 142-8555, Japan.
  • Ishikawa M; Department of Gynecology, National Cancer Center Hospital, Tokyo 104-0045, Japan.
  • Kohno T; Division of Genome Biology, National Cancer Center Research Institute, Tokyo 104-0045, Japan.
  • Kato T; Department of Gynecology, National Cancer Center Hospital, Tokyo 104-0045, Japan.
  • Shiraishi K; Division of Genome Biology, National Cancer Center Research Institute, Tokyo 104-0045, Japan. Electronic address: kshirais@ncc.go.jp.
  • Yoshida H; Division of Diagnostic Pathology, National Cancer Center Hospital, Tokyo 104-0045, Japan. Electronic address: hiroyosh@ncc.go.jp.
Gynecol Oncol ; 178: 36-43, 2023 Nov.
Article en En | MEDLINE | ID: mdl-37748269
ABSTRACT

OBJECTIVES:

Molecular classification was introduced in endometrial cancer staging following the transition of the International Federation of Gynecology and Obstetrics (FIGO) 2008 to FIGO2023. In the early stages, p53 abnormal endometrial carcinoma with myometrial involvement was upstaged to stage IICm, in addition to the downstaging of POLE mutation endometrial cancer to stage IAm. This study compared the goodness of fit and discriminatory ability of FIGO2008, FIGO2023 without molecular classification (FIGO2023), and FIGO2023 with molecular classification (FIGO2023m); no study has been externally validated to date.

METHODS:

The study included 265 patients who underwent initial surgery at the National Cancer Center Hospital between 1997 and 2019 and were pathologically diagnosed with endometrial cancer. The three classification systems were compared using Harrell's concordance index (C-index), Akaike information criterion (AIC), and time-dependent receiver operating characteristic (ROC) curves. A higher C-index score and a lower AIC value indicated a more accurate model.

RESULTS:

Among the three classification systems, FIGO2023m had the lowest AIC value (FIGO2023m 455.925; FIGO2023 459.162; FIGO2008 457.901), highest C-index (FIGO2023m 0.768; FIGO2023 0.743; FIGO2008 0.740), and superior time-dependent ROC curves within 1 year after surgical resection. In the stage IIIC, patients with p53 abnormalities had considerably lower 5-year overall survival than those with a p53 wild-type pattern (24.3% vs. 83.7%, p = 0.0005).

CONCLUSIONS:

FIGO2023m had the best discriminatory ability compared with FIGO2008 and FIGO2023. Even in advanced stages, p53 status was a poor prognostic factor. When feasible, molecular subtypes can be added to the staging criteria to allow better prognostic prediction in all stages.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Proteína p53 Supresora de Tumor / Neoplasias Endometriales Tipo de estudio: Prognostic_studies Límite: Female / Humans Idioma: En Año: 2023 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Proteína p53 Supresora de Tumor / Neoplasias Endometriales Tipo de estudio: Prognostic_studies Límite: Female / Humans Idioma: En Año: 2023 Tipo del documento: Article