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Open Access 17-06-2024 | Endometrial Cancer | Gynecologic Oncology

New online dynamic nomograms to predict recurrence-free and overall survival after resection of endometrial cancer: a single-institution retrospective cohort study

Authors: Zhen Hu, Junying Li, Junqiang Du

Published in: Archives of Gynecology and Obstetrics

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Abstract

Purpose

The significant global burden of endometrial cancer (EC) and the challenges associated with predicting EC recurrence indicate the need for a dynamic prediction model. This study aimed to propose nomograms based on clinicopathological variables to predict recurrence-free survival (RFS) and overall survival (OS) after surgical resection for EC.

Methods

This single-institution retrospective cohort study included patients who underwent surgical resection for EC. Web-based nomograms were developed to predict RFS and OS following resection for EC, and their discriminative and calibration abilities were assessed.

Results

This study included 289 patients (median age, 56 years). At a median follow-up of 51.1 (range, 4.1–128.3) months, 13.5% (39/289) of patients showed relapse or died, and 10.7% (31/289) had non-endometrioid tumors (median size: 2.8 cm). Positive peritoneal cytology result (hazard ratio [HR], 35.06; 95% confidence interval [CI], 1.12–1095.64; P = 0.0428), age-adjusted Charlson comorbidity index (AACCI) (HR, 52.08; 95% CI, 12.35–219.61; P < 0.001), and FIGO (Federation of Gynecology and Obstetrics) stage IV (HR, 138.33; 95% CI, 17.38–1101.05; P < 0.001) were predictors of RFS. Similarly, depth of myometrial invasion ≥ 1/2 (HR, 1; 95% CI, 0.46–2.19; P = 0.995), AACCI (HR, 93.63; 95% CI, 14.87–589.44; P < 0.001), and FIGO stage IV (HR, 608.26; 95% CI, 73.41–5039.66; P < 0.001) were predictors of OS. The nomograms showed good predictive capability, positive discriminative ability, and calibration (RFS: 0.895 and OS: 0.891).

Conclusion

The nomograms performed well in internal validation when patients were stratified into prognostic groups, offering a personalized approach for risk stratification and treatment decision-making.
Literature
7.
go back to reference Abu-Rustum N, Yashar C, Arend R et al (2023) Uterine neoplasms, version 1.2023, NCCN clinical practice guidelines in oncology. J Natl Compr Canc Netw 21:181–209CrossRefPubMed Abu-Rustum N, Yashar C, Arend R et al (2023) Uterine neoplasms, version 1.2023, NCCN clinical practice guidelines in oncology. J Natl Compr Canc Netw 21:181–209CrossRefPubMed
10.
33.
go back to reference Ghanem AI, Modh A, Burmeister C, Munkarah AR, Elshaikh MA (2018) Does age-adjusted Charlson comorbidity score impact survival endpoints in women with federation of gynecology and obstetrics-stage III endometrial cancer? Gynecol Obstet Investig 83:290–298. https://doi.org/10.1159/000487047CrossRef Ghanem AI, Modh A, Burmeister C, Munkarah AR, Elshaikh MA (2018) Does age-adjusted Charlson comorbidity score impact survival endpoints in women with federation of gynecology and obstetrics-stage III endometrial cancer? Gynecol Obstet Investig 83:290–298. https://​doi.​org/​10.​1159/​000487047CrossRef
Metadata
Title
New online dynamic nomograms to predict recurrence-free and overall survival after resection of endometrial cancer: a single-institution retrospective cohort study
Authors
Zhen Hu
Junying Li
Junqiang Du
Publication date
17-06-2024
Publisher
Springer Berlin Heidelberg
Published in
Archives of Gynecology and Obstetrics
Print ISSN: 0932-0067
Electronic ISSN: 1432-0711
DOI
https://doi.org/10.1007/s00404-024-07596-x