Evidence map›Paper›PMID 42491149›Full record

ArticleAmerican journal of translational research2026

Predictive value of immunohistochemical parameters combined with clinicopathological features in predicting recurrence after lymph node resection in endometrial cancer patients.

Xianghui Lu, Shengyan Xie, Tianjie Yu, Daying Mou

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Article in American journal of translational research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Xianghui LuDepartment of Obstetrics and Gynaecology, The First People's Hospital of Zunyi Zunyi 563000, Guizhou, China.
Shengyan XieDepartment of Obstetrics and Gynaecology, The First People's Hospital of Zunyi Zunyi 563000, Guizhou, China.
Tianjie YuDepartment of Obstetrics and Gynaecology, The First People's Hospital of Zunyi Zunyi 563000, Guizhou, China.
Daying MouDepartment of Obstetrics and Gynaecology, The First People's Hospital of Zunyi Zunyi 563000, Guizhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo evaluate the predictive value of immunohistochemical markers combined with clinicopathological parameters for recurrence after lymph node dissection in patients with endometrial cancer (EC) and to construct a comprehensive risk assessment model.

methodsA retrospective study was conducted on 118 EC patients who underwent radical surgery with systematic lymph node dissection between January 2023 and December 2025. Clinicopathological characteristics and expression of estrogen receptor (ER), progesterone receptor (PR), p53, and Ki-67 were collected. Kaplan-Meier (KM) analysis, Log-rank test, and Cox proportional hazards regression (Cox regression) models were used to identify prognostic factors. Receiver operating characteristic (ROC) curves and the DeLong test were applied to assess predictive performance.

resultsDuring a median follow-up of 26 months, 28 patients (23.7%) experienced recurrence. Univariate analysis showed that advanced International Federation of Gynecology and Obstetrics stage (FIGO stage), poor differentiation, deep myometrial invasion, positive lymphovascular space invasion (LVSI), lymph node metastasis, aberrant p53 expression, and high Ki-67 expression were significantly associated with recurrence (all P<0.05). Multivariate analysis identified lymph node metastasis (P = 0.005), aberrant p53 expression (P = 0.008), Ki-67 ≥30% (P = 0.022), and LVSI positivity (P = 0.042) as independent risk factors. The combined model achieved an area under the curve (AUC) of 0.876 (95% confidence interval (CI): 0.807-0.945), with a sensitivity of 85.7% and specificity of 82.2%, outperforming individual predictors (all P<0.05).

conclusionKey clinicopathological and immunohistochemical factors are independently associated with recurrence after lymph node dissection in EC. The model may improve risk stratification and support postoperative follow-up and risk management.

Indexed as

Endometrial cancerimmunohistochemistrylymph node dissectionpredictive modelrecurrence

Identifiers

PMID42491149
PMCPMC13376011

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.