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Prognostic impact of molecular subgroups in grade 3 endometrioid endometrial carcinoma: a single cohort study in Northern China
1Department of Pathology, Beijing Tongren Hospital, Capital Medical University, Beijing Key Laboratory of Head and Neck Molecular Diagnostic Pathology, 100005 Beijing, China
2Department of Pathology, Beijing Obstetrics and Gynaecology Hospital, Capital Medical University, Beijing Maternal and Child Health Care Hospital, 100006 Beijing, China
DOI: 10.22514/ejgo.2025.010 Vol.46,Issue 1,January 2025 pp.104-117
Submitted: 23 October 2023 Accepted: 23 November 2023
Published: 15 January 2025
*Corresponding Author(s): Honggang Liu E-mail: liuhonggang@ccmu.edu.cn
Background: To evaluate the prognostic impact of the molecular classification of grade 3 endometrioid endometrial carcinoma (G3-EEC) and its correlation with clinicopathological factors. Methods: 137 patients with G3-EEC were enrolled and molecularly classified using Sanger sequencing in exons 9–14 of the polymerase epsilon (POLE) gene and immunohistochemistry (IHC) staining for p53, MLH1 (mutL homolog 1), PMS2 (PMS1 homolog 2), MSH2 (mutS homolog 2) and MSH6 (mutS homolog 6). The Kaplan-Meier method and Cox regression were used for survival analysis, and the chi-square and Fisher’s exact tests were used for comparisons between categorical data. Results: POLE hotspot mutations (POLEmut group) were identified in seven tumors (5.1%); 46 (33.6%) tumors showed deficient mismatch repair (dMMR group); 22 (16.1%) showed abnormal p53 staining (p53abn group); and 58 (42.3%) were classified as nonspecific molecular profiles (NSMP group). The remaining four patients (2.9%) were grouped as multi-classifiers. The median follow-up was 45.2 months (range: 6‒128 months), with an overall survival (OS) rate of 84.6% (116/137) and a progression-free survival (PFS) rate of 81.7% (112/137). There was no significant difference in the molecular subgroups with OS and PFS (p = 0.05 and p = 0.162, respectively). The prognosis was most favorable in the POLEmut, intermediate in the dMMR and NSMP, worst in the p53abn group, and unclear in the multi-classifier group. Multivariate analysis showed that the International Federation of Gynecology and Obstetrics (FIGO) stage (FIGO 2009 and FIGO 2023) and lymphovascular space invasion were significant independent prognostic factors in OS and PFS (p < 0.05). Myometrial invasion, bizarre atypia, and peritumoral lymphocytes showed significant differences among the molecular groups (p = 0.026, p < 0.001 and p = 0.001, respectively). Conclusions: Our study demonstrated the prognostic value of the molecular classification of G3-EEC. The biological behavior of the multi-classifier group remains undefined.
Prognostic impact; Molecular classification; Grade 3 endometrioid endometrial carcinoma
Wenxue Zhi,Jing Zhang,Yang Zhan,Yulan Jin,Honggang Liu. Prognostic impact of molecular subgroups in grade 3 endometrioid endometrial carcinoma: a single cohort study in Northern China. European Journal of Gynaecological Oncology. 2025. 46(1);104-117.
[1] Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA: A Cancer Journal for Clinicians. 2021; 71: 209–249.
[2] Concin N, Creutzberg CL, Vergote I, Cibula D, Mirza MR, Marnitz S, et al. ESGO/ESTRO/ESP guidelines for the management of patients with endometrial carcinoma. Virchows Archiv. 2021; 478: 153–190.
[3] Soslow RA, Tornos C, Park KJ, Malpica A, Matias-Guiu X, Oliva E, et al. Endometrial carcinoma diagnosis: use of FIGO grading and genomic subcategories in clinical practice: recommendations of the international society of gynecological pathologists. International Journal of Gynecological Pathology. 2019; 38: S64–S74.
[4] Zhang C, Zheng W. High-grade endometrial carcinomas: morphologic spectrum and molecular classification. Seminars in Diagnostic Pathology. 2022; 39: 176–186.
[5] Hussein YR, Broaddus R, Weigelt B, Levine DA, Soslow RA. The genomic heterogeneity of FIGO grade 3 endometrioid carcinoma impacts diagnostic accuracy and reproducibility. International Journal of Gynecological Pathology. 2016; 35: 16–24.
[6] Gilks CB, Oliva E, Soslow RA. Poor interobserver reproducibility in the diagnosis of high-grade endometrial carcinoma. The American Journal of Surgical Pathology. 2013; 37: 874–881.
[7] Cancer Genome Atlas Research Network; Kandoth C, Schultz N, Cherniack AD, Akbani R, Liu Y, Shen H, et al. Integrated genomic characterization of endometrial carcinoma. Nature. 2013; 497: 67–73.
[8] Meng B, Hoang LN, McIntyre JB, Duggan MA, Nelson GS, Lee CH, et al. POLE exonuclease domain mutation predicts long progression-free survival in grade 3 endometrioid carcinoma of the endometrium. Gynecologic Oncology. 2014; 134: 15–19.
[9] Church DN, Stelloo E, Nout RA, Valtcheva N, Depreeuw J, ter Haar N, et al. Prognostic significance of pole proofreading mutations in endometrial cancer. Journal of the National Cancer Institute. 2014; 107: 402.
[10] Stelloo E, Bosse T, Nout RA, MacKay HJ, Church DN, Nijman HW, et al. Refining prognosis and identifying targetable pathways for high-risk endometrial cancer; a TransPORTEC initiative. Modern Pathology. 2015; 28: 836–844.
[11] Talhouk A, McConechy MK, Leung S, Li-Chang HH, Kwon JS, Melnyk N, et al. A clinically applicable molecular-based classification for endometrial cancers. British Journal of Cancer. 2015; 113: 299–310.
[12] Talhouk A, McConechy MK, Leung S, Yang W, Lum A, Senz J, et al. Confirmation of ProMisE: a simple, genomics-based clinical classifier for endometrial cancer. Cancer. 2017; 123: 802–813.
[13] Kommoss S, McConechy MK, Kommoss F, Leung S, Bunz A, Magrill J, et al. Final validation of the ProMisE molecular classifier for endometrial carcinoma in a large population-based case series. Annals of Oncology. 2018; 29: 1180–1188.
[14] Stasenko M, Tunnage I, Ashley CW, Rubinstein MM, Latham AJ, Da Cruz Paula A, et al. Clinical outcomes of patients with POLE mutated endometrioid endometrial cancer. Gynecologic Oncology. 2020; 156: 194–202.
[15] León-Castillo A, Britton H, McConechy MK, McAlpine JN, Nout R, Kommoss S, et al. Interpretation of somatic POLE mutations in endometrial carcinoma. The Journal of Pathology. 2020; 250: 323–335.
[16] Berek JS, Matias-Guiu X, Creutzberg C, Fotopoulou C, Gaffney D, Kehoe S, et al; Endometrial Cancer Staging Subcommittee; FIGO Women’s Cancer Committee. FIGO staging of endometrial cancer: 2023. International Journal of Gynecology & Obstetrics. 2023; 162: 383–394.
[17] Bosse T, Nout RA, McAlpine JN, McConechy MK, Britton H, Hussein YR, et al. Molecular classification of grade 3 endometrioid endometrial cancers identifies distinct prognostic subgroups. The American Journal of Surgical Pathology. 2018; 42: 561–568.
[18] Joehlin-Price A, Van Ziffle J, Hills NK, Ladwig N, Rabban JT, Garg K. Molecularly classified uterine FIGO grade 3 endometrioid carcinomas show distinctive clinical outcomes but overlapping morphologic features. The American Journal of Surgical Pathology. 2021; 45: 421–429.
[19] He D, Wang H, Dong Y, Zhang Y, Zhao J, Lv C, et al. POLE mutation combined with microcystic, elongated and fragmented (MELF) pattern invasion in endometrial carcinomas might be associated with poor survival in Chinese women. Gynecologic Oncology. 2020; 159: 36–42.
[20] Li Y, He Q, Li S, Wen X, Ye L, Wang K, et al. POLE Mutation characteristics in a Chinese cohort with endometrial carcinoma. OncoTargets and Therapy. 2020; 13: 7305–7316.
[21] Monsur M, Yamaguchi M, Tashiro H, Yoshinobu K, Saito F, Erdenebaatar C, et al. Endometrial cancer with a POLE mutation progresses frequently through the type I pathway despite its high-grade endometrioid morphology: a cohort study at a single institution in Japan. Medical Molecular Morphology. 2021; 54: 133–145.
[22] Cosgrove CM, Tritchler DL, Cohn DE, Mutch DG, Rush CM, Lankes HA, et al. An NRG Oncology/GOG study of molecular classification for risk prediction in endometrioid endometrial cancer. Gynecologic Oncology. 2018; 148: 174–180.
[23] Tian W, Ji Z, Wang J, Meng J, Bi R, Ren Y, et al. Characterization of hotspot exonuclease domain mutations in the DNA polymerase ϵ gene in endometrial cancer. Frontiers in Oncology. 2022; 12: 1018034.
[24] Cui J, Chen X, Zhai Q, Chen N, Li X, Zhang Y, et al. A novel somatic mutation in POLE exonuclease domain associated with ultra-mutational signature and MMR deficiency in endometrial cancer: a case report. Diagnostic Pathology. 2023; 18: 19.
[25] Bayramoglu D, Seçilmiş Kerimoğlu Ö, Bayramoğlu Z, Çintesun E, Şahin G, Karabağlı P, et al. Classification of high-grade endometrium carcinomas using molecular and immunohistochemical methods. Ginekologia Polska. 2023; 94: 3–11.
[26] León-Castillo A, Gilvazquez E, Nout R, Smit VT, McAlpine JN, McConechy M, et al. Clinicopathological and molecular characterisation of ‘multiple‐classifier’ endometrial carcinomas. The Journal of Pathology. 2020; 250: 312–322.
[27] Li L, Chen F, Liu J, Zhu W, Lin L, Chen L, et al. Molecular classification grade 3 endometrial endometrioid carcinoma using a next-generation sequencing—based gene panel. Frontiers in Oncology. 2022; 12: 935694.
[28] Murali R, Delair DF, Bean SM, Abu-Rustum NR, Soslow RA. Evolving roles of histologic evaluation and molecular/genomic profiling in the management of endometrial cancer. Journal of the National Comprehensive Cancer Network. 2018; 16: 201–209.
[29] Devereaux KA, Steiner DF, Ho C, Gomez AJ, Gilks B, Longacre TA, et al. A multiplex SNaPshot assay is a rapid and cost-effective method for detecting POLE exonuclease domain mutations in endometrial carcinoma. International Journal of Gynecological Pathology. 2022; 41: 541–551.
[30] Raffone A, Travaglino A, Mascolo M, Carotenuto C, Guida M, Mollo A, et al. Histopathological characterization of ProMisE molecular groups of endometrial cancer. Gynecologic Oncology. 2020; 157: 252–259.
[31] Jumaah AS, Al-Haddad HS, McAllister KA, Yasseen AA. The clinicopathology and survival characteristics of patients with POLE proofreading mutations in endometrial carcinoma: a systematic review and meta-analysis. PLOS ONE. 2022; 17: e0263585.
[32] Kim J, Kim SI, Kim NR, Kim H, Kim HS, Chung HH, et al. Prognostic significance of L1CAM expression in addition to ProMisE in endometrial cancer. Gynecologic Oncology. 2023; 174: 231–238.
[33] Kommoss FK, Karnezis AN, Kommoss F, Talhouk A, Taran FA, Staebler A, et al. L1CAM further stratifies endometrial carcinoma patients with no specific molecular risk profile. British Journal of Cancer. 2018; 119: 480–486.
[34] Ruz-Caracuel I, Ramón-Patino JL, López-Janeiro Á, Yébenes L, Berjón A, Hernández A, et al. Myoinvasive pattern as a prognostic marker in low-grade, early-stage endometrioid endometrial carcinoma. Cancers. 2019; 11: 1845.
[35] Matei D, Filiaci V, Randall ME, Mutch D, Steinhoff MM, DiSilvestro PA, et al. Adjuvant chemotherapy plus radiation for locally advanced endometrial cancer. The New England Journal of Medicine. 2019; 380: 2317–2326.
[36] Travaglino A, Raffone A, Stradella C, Esposito R, Moretta P, Gallo C, et al. Impact of endometrial carcinoma histotype on the prognostic value of the TCGA molecular subgroups. Archives of Gynecology and Obstetrics. 2020; 301: 1355–1363.
[37] Raffone A, Travaglino A, Raimondo D, Neola D, Renzulli F, Santoro A, et al. Prognostic value of myometrial invasion and TCGA groups of endometrial carcinoma. Gynecologic Oncology. 2021; 162: 401–406.
[38] Raffone A, Travaglino A, Raimondo D, Neola D, Maletta M, Santoro A, et al. Lymphovascular space invasion in endometrial carcinoma: a prognostic factor independent from molecular signature. Gynecologic Oncology. 2022; 165: 192–197.
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