Integrated typing system of endometrial cancer based on Chinese population - PKU typing: a retrospective, multicentre study.
7 affiliations
- 1Department of Obstetrics and Gynecology, Peking University People's Hospital, Beijing, China.
- 2Department of Obstetrics and Gynecology, Xuanwu Hospital, Capital Medical University, Beijing, China.
- 3Graduate School of Biomedical Sciences, The University of Texas MD Anderson Cancer Center UTHealth Houston, The University of Texas MD Anderson Cancer Center, Houston, United States of America.
- 4Department of Pathology, Peking University People's Hospital, Beijing, China.
- 5Department of Obstetrics and Gynecology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China.
- 6Department of Obstetrics and Gynecology, Peking University People's Hospital, Beijing, China. [email protected].
- 7Department of Obstetrics and Gynecology, Peking University People's Hospital, Beijing, China. [email protected].
Abstract
Background
Endometrial cancer (EC) is a heterogeneous malignancy in which clinicopathological, molecular, and immune characteristics each provide prognostic information but are insufficient when used independently. We aimed to identify prognostic determinants across these domains and develop an integrated, clinically applicable prognostic risk classification system.Methods
This multicenter retrospective study included 200 EC patients from Peking University People's Hospital(Center 1) and 200 patients from Beijing obstetrics and Gynecology Hospital Affiliated to Capital Medical University(Center 2). Clinicopathological variables, mismatch repair (MMR) status, p53 status, and stromal CD3⁺ and CD8⁺ lymphocyte densities were analyzed. Cox regression was used to establish prognostic models. A comprehensive model integrating clinicopathological, molecular, and immune features (PKU-typing) was constructed using a nomogram and validated internally and externally.Results
FIGO stage and histological grade were independent prognostic clinicopathological factors. Stromal CD3⁺ and CD8⁺ infiltration levels correlated with prognosis and defined three immune clusters with distinct outcomes. The PKU-typing model demonstrated strong predictive accuracy in the training cohort (C-index 0.899) and remained robust in external validation (C-index 0.765). Compared with single-dimension models, PKU-typing significantly improved risk classification (NRI and IDI across all comparisons).Conclusions
By integrating clinicopathological, molecular, and immune characteristics, the PKU-typing risk classification system provides a biologically informed, practical framework for individualized risk stratification in EC. Its strong performance and reliance on accessible testing methods support its broad applicability in clinical practice.
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BibTeX
@article{li2026integrated,
title = {{Integrated typing system of endometrial cancer based on Chinese population - PKU typing: a retrospective, multicentre study.}},
author = {Liwei Li and Dan Luo and He Li and Xingchen Li and Yuan Cheng and Jingyi Zhou and Xuewu You and Yibo Dai and Xuji Jiang and Yuanhe Zhai and Jiaqi Wang and Xiaobo Zhang and Bo Han and Weimin Kong and Yangyang Dong and Jianliu Wang},
journal = {BMC cancer},
year = {2026},
month = aug,
doi = {10.1186/s12885-026-16677-w},
url = {https://europepmc.org/article/MED/42972275},
note = {CC BY-NC-ND},
}
RIS
TY - JOUR
TI - Integrated typing system of endometrial cancer based on Chinese population - PKU typing: a retrospective, multicentre study.
AU - Liwei Li
AU - Dan Luo
AU - He Li
AU - Xingchen Li
AU - Yuan Cheng
AU - Jingyi Zhou
AU - Xuewu You
AU - Yibo Dai
AU - Xuji Jiang
AU - Yuanhe Zhai
AU - Jiaqi Wang
AU - Xiaobo Zhang
AU - Bo Han
AU - Weimin Kong
AU - Yangyang Dong
AU - Jianliu Wang
PY - 2026
DA - 2026/08/03
JO - BMC cancer
DO - 10.1186/s12885-026-16677-w
UR - https://europepmc.org/article/MED/42972275
AB - Background Endometrial cancer (EC) is a heterogeneous malignancy in which clinicopathological, molecular, and immune characteristics each provide prognostic information but are insufficient when used independently. We aimed to identify prognostic determinants across these domains and develop an integrated, clinically applicable prognostic risk classification system.Methods This multicenter retrospective study included 200 EC patients from Peking University People's Hospital(Center 1) and 200 patients from Beijing obstetrics and Gynecology Hospital Affiliated to Capital Medical University(Center 2). Clinicopathological variables, mismatch repair (MMR) status, p53 status, and stromal CD3⁺ and CD8⁺ lymphocyte densities were analyzed. Cox regression was used to establish prognostic models. A comprehensive model integrating clinicopathological, molecular, and immune features (PKU-typing) was constructed using a nomogram and validated internally and externally.Results FIGO stage and histological grade were independent prognostic clinicopathological factors. Stromal CD3⁺ and CD8⁺ infiltration levels correlated with prognosis and defined three immune clusters with distinct outcomes. The PKU-typing model demonstrated strong predictive accuracy in the training cohort (C-index 0.899) and remained robust in external validation (C-index 0.765). Compared with single-dimension models, PKU-typing significantly improved risk classification (NRI and IDI across all comparisons).Conclusions By integrating clinicopathological, molecular, and immune characteristics, the PKU-typing risk classification system provides a biologically informed, practical framework for individualized risk stratification in EC. Its strong performance and reliance on accessible testing methods support its broad applicability in clinical practice.
SN - 1471-2407
ER -