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Clinical application of TCGA molecular classification in endometrial endometrioid carcinoma / 中华病理学杂志
Zhonghua Bing Li Xue Za Zhi ; (12): 596-603, 2019.
Article en Zh | WPRIM | ID: wpr-805761
Biblioteca responsable: WPRO
ABSTRACT
Objective@#To explore molecular characteristics of endometrial endometrioid cancer according to The Cancer Genome Atlas (TCGA) based molecular classification of endometrial carcinomas and to confirm simple and clinically applicable surrogate methodologies in pathological practice.@*Methods@#Two hundred and twenty-eight cases of endometrial endometroid adenocarcinomas (EnACs) collected from August 2001 to August 2017 from Peking University Health Science Center, Peking University Third Hospital were molecularly categorized by using Sanger sequencing for the exonuclease domain mutations (EDM) of POLE, and by immunohistochemistry for p53 and mismatch repair (MMR) proteins. The cohort was classified into polymerase-E exonuclease domain mutation (POLE EDM), mismatch repair deficiency (MMR-D), p53 abnormal (p53-abn) and p53 wild type (p53-wt) groups. The correlation between molecular subgroups and the clinical-pathological features including prognosis were analyzed.@*Results@#The cohort was distributed as follows: 11(4.8%) POLE EDM, 47(20.6%) MMR-D, 9(4.0%) p53-abn and 161(70.6%) p53-wt. p53-wt subgroup patients demonstrated significantly higher lymph node metastasis (P=0.011) and more advanced stage (P=0.036) than those of somatic hypermutation group cases (POLE EDM and MMR-D). In the FIGO grade 2-3 EnACs cohort, TCGA molecular subtyping was significantly correlated with progression-free survival and overall survival (P=0.043). POLE EDM subgroup had the best survival, while p53-abn subgroup had the worst.@*Conclusions@#Identification of POLE EDM and MMR-D subgroups provides independent and highly valuable prognostic information beyond established histological classification. Based on immunohistochemistry of MMR, p53 and POLE mutational analysis, this pragmatic molecular classification scheme can be served as a reliable surrogate for TCGA molecular classification, which has potential to be used routinely in Chinese pathological practice.
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Texto completo: 1 Base de datos: WPRIM Tipo de estudio: Prognostic_studies Idioma: Zh Revista: Zhonghua Bing Li Xue Za Zhi Año: 2019 Tipo del documento: Article
Texto completo: 1 Base de datos: WPRIM Tipo de estudio: Prognostic_studies Idioma: Zh Revista: Zhonghua Bing Li Xue Za Zhi Año: 2019 Tipo del documento: Article