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Adjuvant radiotherapy shows benefit in selected stage I uterine sarcoma: A risk scoring system based on a population analysis

BACKGROUND: The potential therapeutic benefit of adjuvant radiotherapy for patients with stage I uterine sarcoma has not been clear. In this study, we aimed to develop a risk scoring model to select the subgroup of patients with stage I uterine sarcoma who might benefit from adjuvant radiotherapy. M...

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Autores principales: Huang, Yun‐xia, Lin, Yan‐zong, Li, Yi‐min, Chu, Ke‐xin, Zhou, Yu‐fei, Lin, Li‐mei, Zhou, Rui, Zhang, Zong‐kai, Lin, Qin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9302311/
https://www.ncbi.nlm.nih.gov/pubmed/35277934
http://dx.doi.org/10.1002/cam4.4643
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author Huang, Yun‐xia
Lin, Yan‐zong
Li, Yi‐min
Chu, Ke‐xin
Zhou, Yu‐fei
Lin, Li‐mei
Zhou, Rui
Zhang, Zong‐kai
Lin, Qin
author_facet Huang, Yun‐xia
Lin, Yan‐zong
Li, Yi‐min
Chu, Ke‐xin
Zhou, Yu‐fei
Lin, Li‐mei
Zhou, Rui
Zhang, Zong‐kai
Lin, Qin
author_sort Huang, Yun‐xia
collection PubMed
description BACKGROUND: The potential therapeutic benefit of adjuvant radiotherapy for patients with stage I uterine sarcoma has not been clear. In this study, we aimed to develop a risk scoring model to select the subgroup of patients with stage I uterine sarcoma who might benefit from adjuvant radiotherapy. METHODS: Patients with stage I uterine sarcoma from the Surveillance, Epidemiology, and End Results program from 2010 to 2014 were retrospectively included in this analysis. Cox proportional hazards models were performed to identify risk factors. RESULTS: A total of 947 stage I uterine sarcoma patients were included. The 5‐year disease‐specific survival (DSS) of the overall cohort was 75.81%. Multivariate analysis identified stage (p = 0.013), tumor grade (p <0.001) and histology (p = 0.043) as independent prognostic factors for DSS, and these factors were used to generate the risk scoring model. The low‐risk group presented a better DSS than the high‐risk group (95.51% vs. 49.88%, p < 0.001). The addition of radiotherapy to surgery significantly increased the DSS in the high‐risk group compared with surgery alone (78.06% vs. 46.88%, p = 0.022), but no significant survival benefit was observed in the low‐risk group (98.36% vs. 100%, p = 0.766). CONCLUSIONS: Our risk scoring model based on stage, tumor grade, and histology predicted the outcome of patients with stage I uterine sarcoma cancer. This system may help to select stage I uterine sarcoma cancer patients who might benefit from adjuvant radiotherapy.
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spelling pubmed-93023112022-07-22 Adjuvant radiotherapy shows benefit in selected stage I uterine sarcoma: A risk scoring system based on a population analysis Huang, Yun‐xia Lin, Yan‐zong Li, Yi‐min Chu, Ke‐xin Zhou, Yu‐fei Lin, Li‐mei Zhou, Rui Zhang, Zong‐kai Lin, Qin Cancer Med RESEARCH ARTICLES BACKGROUND: The potential therapeutic benefit of adjuvant radiotherapy for patients with stage I uterine sarcoma has not been clear. In this study, we aimed to develop a risk scoring model to select the subgroup of patients with stage I uterine sarcoma who might benefit from adjuvant radiotherapy. METHODS: Patients with stage I uterine sarcoma from the Surveillance, Epidemiology, and End Results program from 2010 to 2014 were retrospectively included in this analysis. Cox proportional hazards models were performed to identify risk factors. RESULTS: A total of 947 stage I uterine sarcoma patients were included. The 5‐year disease‐specific survival (DSS) of the overall cohort was 75.81%. Multivariate analysis identified stage (p = 0.013), tumor grade (p <0.001) and histology (p = 0.043) as independent prognostic factors for DSS, and these factors were used to generate the risk scoring model. The low‐risk group presented a better DSS than the high‐risk group (95.51% vs. 49.88%, p < 0.001). The addition of radiotherapy to surgery significantly increased the DSS in the high‐risk group compared with surgery alone (78.06% vs. 46.88%, p = 0.022), but no significant survival benefit was observed in the low‐risk group (98.36% vs. 100%, p = 0.766). CONCLUSIONS: Our risk scoring model based on stage, tumor grade, and histology predicted the outcome of patients with stage I uterine sarcoma cancer. This system may help to select stage I uterine sarcoma cancer patients who might benefit from adjuvant radiotherapy. John Wiley and Sons Inc. 2022-03-11 /pmc/articles/PMC9302311/ /pubmed/35277934 http://dx.doi.org/10.1002/cam4.4643 Text en © 2022 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle RESEARCH ARTICLES
Huang, Yun‐xia
Lin, Yan‐zong
Li, Yi‐min
Chu, Ke‐xin
Zhou, Yu‐fei
Lin, Li‐mei
Zhou, Rui
Zhang, Zong‐kai
Lin, Qin
Adjuvant radiotherapy shows benefit in selected stage I uterine sarcoma: A risk scoring system based on a population analysis
title Adjuvant radiotherapy shows benefit in selected stage I uterine sarcoma: A risk scoring system based on a population analysis
title_full Adjuvant radiotherapy shows benefit in selected stage I uterine sarcoma: A risk scoring system based on a population analysis
title_fullStr Adjuvant radiotherapy shows benefit in selected stage I uterine sarcoma: A risk scoring system based on a population analysis
title_full_unstemmed Adjuvant radiotherapy shows benefit in selected stage I uterine sarcoma: A risk scoring system based on a population analysis
title_short Adjuvant radiotherapy shows benefit in selected stage I uterine sarcoma: A risk scoring system based on a population analysis
title_sort adjuvant radiotherapy shows benefit in selected stage i uterine sarcoma: a risk scoring system based on a population analysis
topic RESEARCH ARTICLES
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9302311/
https://www.ncbi.nlm.nih.gov/pubmed/35277934
http://dx.doi.org/10.1002/cam4.4643
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