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A Nomogram Model to Predict Prognosis of Patients With Genitourinary Sarcoma

OBJECTIVES: The aim of this study is to evaluate the significant factors influencing the overall survival (OS) and recurrence free survival (RFS) and make an attempt to develop a nomogram for predicting the prognosis of patients with genitourinary sarcoma (GS). METHODS: Data on adult GS from 1985 to...

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Autores principales: Li, Linde, Liang, Jiayu, Song, Turun, Yin, Saifu, Zeng, Jun, Zhong, Qiang, Feng, Xiaobing, Jia, Zihao, Fan, Yu, Wang, Xianding, Lin, Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8085422/
https://www.ncbi.nlm.nih.gov/pubmed/33937065
http://dx.doi.org/10.3389/fonc.2021.656325
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author Li, Linde
Liang, Jiayu
Song, Turun
Yin, Saifu
Zeng, Jun
Zhong, Qiang
Feng, Xiaobing
Jia, Zihao
Fan, Yu
Wang, Xianding
Lin, Tao
author_facet Li, Linde
Liang, Jiayu
Song, Turun
Yin, Saifu
Zeng, Jun
Zhong, Qiang
Feng, Xiaobing
Jia, Zihao
Fan, Yu
Wang, Xianding
Lin, Tao
author_sort Li, Linde
collection PubMed
description OBJECTIVES: The aim of this study is to evaluate the significant factors influencing the overall survival (OS) and recurrence free survival (RFS) and make an attempt to develop a nomogram for predicting the prognosis of patients with genitourinary sarcoma (GS). METHODS: Data on adult GS from 1985 to 2010 were collected. The impact of clinical factors on OS and RFS were estimated by Kaplan–Meier (KM) analysis, and differences between groups were analyzed by the log-rank test. To establish a nomogram, all patients were randomly divided into a training set (n = 125) and a testing set (n = 63). Cox proportion hazard model was utilized to assess the prognostic effect of variables. Then, a nomogram was established to estimate 1-, 3-, and 5-year OS based on Cox regression model. Subsequently, the nomogram was validated by a training set and a validation set. RESULTS: A total of 188 patients were enrolled into our study. Male patients with bladder sarcoma had better OS rather than RFS when stratified by gender (P = 0.022). According to histological subtypes, patients with leiomyosarcoma (LMS) undergoing chemotherapy were associated with favorable OS (P = 0.024) and RFS (P = 0.001). Furthermore, LMS in kidney sarcoma were associated with lower recurrence rate in comparison to rhabdomyosarcoma (RMS) (P = 0.043). Margin status after surgical excision markedly influenced the OS and RFS of GS patients and negative margins presented optimal prognosis. Chemotherapy was associated with improved OS for patients without surgery (P = 0.029) and patients with positive margins (P = 0.026). Based on the multivariate analysis of the training cohort, age, gender, surgery status, histological subtype, and chemotherapy were included in our nomogram for prediction of OS. The nomogram had sufficient power with concordance index (C-index) of OS: 0.770, 95%CI: 0.760–0.772 and area under curve (AUC) of OS: 0.759, 95%CI: 0.658–0.859 in the training set and with C-index of OS: 0.741, 95%CI: 0.740–0.765, and AUC of OS: 0.744, 95%CI: 0.576–0.913 in the validation set. CONCLUSIONS: Adults GS is a group of extremely rare tumors with poor prognosis. Of all histological types, LMS is sensitive to chemotherapy. We highlighted the cardinal role of surgical resection and the importance of achieving negative margins. We identified the efficacy of chemotherapy for patients with positive margins and those without surgery as well. A nomogram is validated as an effective tool predicting short-term outcomes.
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spelling pubmed-80854222021-05-01 A Nomogram Model to Predict Prognosis of Patients With Genitourinary Sarcoma Li, Linde Liang, Jiayu Song, Turun Yin, Saifu Zeng, Jun Zhong, Qiang Feng, Xiaobing Jia, Zihao Fan, Yu Wang, Xianding Lin, Tao Front Oncol Oncology OBJECTIVES: The aim of this study is to evaluate the significant factors influencing the overall survival (OS) and recurrence free survival (RFS) and make an attempt to develop a nomogram for predicting the prognosis of patients with genitourinary sarcoma (GS). METHODS: Data on adult GS from 1985 to 2010 were collected. The impact of clinical factors on OS and RFS were estimated by Kaplan–Meier (KM) analysis, and differences between groups were analyzed by the log-rank test. To establish a nomogram, all patients were randomly divided into a training set (n = 125) and a testing set (n = 63). Cox proportion hazard model was utilized to assess the prognostic effect of variables. Then, a nomogram was established to estimate 1-, 3-, and 5-year OS based on Cox regression model. Subsequently, the nomogram was validated by a training set and a validation set. RESULTS: A total of 188 patients were enrolled into our study. Male patients with bladder sarcoma had better OS rather than RFS when stratified by gender (P = 0.022). According to histological subtypes, patients with leiomyosarcoma (LMS) undergoing chemotherapy were associated with favorable OS (P = 0.024) and RFS (P = 0.001). Furthermore, LMS in kidney sarcoma were associated with lower recurrence rate in comparison to rhabdomyosarcoma (RMS) (P = 0.043). Margin status after surgical excision markedly influenced the OS and RFS of GS patients and negative margins presented optimal prognosis. Chemotherapy was associated with improved OS for patients without surgery (P = 0.029) and patients with positive margins (P = 0.026). Based on the multivariate analysis of the training cohort, age, gender, surgery status, histological subtype, and chemotherapy were included in our nomogram for prediction of OS. The nomogram had sufficient power with concordance index (C-index) of OS: 0.770, 95%CI: 0.760–0.772 and area under curve (AUC) of OS: 0.759, 95%CI: 0.658–0.859 in the training set and with C-index of OS: 0.741, 95%CI: 0.740–0.765, and AUC of OS: 0.744, 95%CI: 0.576–0.913 in the validation set. CONCLUSIONS: Adults GS is a group of extremely rare tumors with poor prognosis. Of all histological types, LMS is sensitive to chemotherapy. We highlighted the cardinal role of surgical resection and the importance of achieving negative margins. We identified the efficacy of chemotherapy for patients with positive margins and those without surgery as well. A nomogram is validated as an effective tool predicting short-term outcomes. Frontiers Media S.A. 2021-04-16 /pmc/articles/PMC8085422/ /pubmed/33937065 http://dx.doi.org/10.3389/fonc.2021.656325 Text en Copyright © 2021 Li, Liang, Song, Yin, Zeng, Zhong, Feng, Jia, Fan, Wang and Lin https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Li, Linde
Liang, Jiayu
Song, Turun
Yin, Saifu
Zeng, Jun
Zhong, Qiang
Feng, Xiaobing
Jia, Zihao
Fan, Yu
Wang, Xianding
Lin, Tao
A Nomogram Model to Predict Prognosis of Patients With Genitourinary Sarcoma
title A Nomogram Model to Predict Prognosis of Patients With Genitourinary Sarcoma
title_full A Nomogram Model to Predict Prognosis of Patients With Genitourinary Sarcoma
title_fullStr A Nomogram Model to Predict Prognosis of Patients With Genitourinary Sarcoma
title_full_unstemmed A Nomogram Model to Predict Prognosis of Patients With Genitourinary Sarcoma
title_short A Nomogram Model to Predict Prognosis of Patients With Genitourinary Sarcoma
title_sort nomogram model to predict prognosis of patients with genitourinary sarcoma
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8085422/
https://www.ncbi.nlm.nih.gov/pubmed/33937065
http://dx.doi.org/10.3389/fonc.2021.656325
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