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Comparison of prognostic prediction models for rectal gastrointestinal stromal tumor

Background: Rectal gastrointestinal stromal tumors (RGISTs) are biologically characterized tumors that are relatively rare. Thus, few studies have reported a specific prognostic system for this subset of tumors but integrated it into parallel systems, such as small intestine. Our aim is to develop a...

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Autores principales: Jiaxin, Liu, Peiyun, Zhou, Zheng, Tang, Wei, Yuan, Shanshan, Shen, Lei, Ren, Zhengwen, Xing, Yong, Fang, Xiaodong, Gao, Anwei, Xue, Kuntang, Shen, Yingyong, Hou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7343501/
https://www.ncbi.nlm.nih.gov/pubmed/32561689
http://dx.doi.org/10.18632/aging.103204
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author Jiaxin, Liu
Peiyun, Zhou
Zheng, Tang
Wei, Yuan
Shanshan, Shen
Lei, Ren
Zhengwen, Xing
Yong, Fang
Xiaodong, Gao
Anwei, Xue
Kuntang, Shen
Yingyong, Hou
author_facet Jiaxin, Liu
Peiyun, Zhou
Zheng, Tang
Wei, Yuan
Shanshan, Shen
Lei, Ren
Zhengwen, Xing
Yong, Fang
Xiaodong, Gao
Anwei, Xue
Kuntang, Shen
Yingyong, Hou
author_sort Jiaxin, Liu
collection PubMed
description Background: Rectal gastrointestinal stromal tumors (RGISTs) are biologically characterized tumors that are relatively rare. Thus, few studies have reported a specific prognostic system for this subset of tumors but integrated it into parallel systems, such as small intestine. Our aim is to develop a new predictive staging system nomogram (named FD-ZS system) for RGISTs. Results: Tumor size and mitotic rate were independent risk factors for tumor recurrence in RGISTs according to univariate and multivariate survival analyses. A prognostic predictive nomogram was developed, and a cut-off value of 65 points was calculated by X-tile to discriminate risk based on tumor size and mitotic rate. The C-indices for the FD-ZS, FD-Hou, NIH, and WHO systems were 0.706, 0.693, 0.687, and 0.680, respectively. Conclusion: In the present study, a concise two-tier grading system (FD-ZS) for prognostic prediction of RGISTs that is simpler to several reported systems was developed, and a cut-off value was established to help RGIST patients determine whether to undergo adjuvant imatinib treatment. Methods: A nomogram was employed, and its predictive accuracy and discriminative ability were determined by concordance index (C-index) and calibration curve analyses. The nomogram was then compared with three stratification systems used for GISTs (FD-Hou, NIH, and WHO).
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spelling pubmed-73435012020-07-15 Comparison of prognostic prediction models for rectal gastrointestinal stromal tumor Jiaxin, Liu Peiyun, Zhou Zheng, Tang Wei, Yuan Shanshan, Shen Lei, Ren Zhengwen, Xing Yong, Fang Xiaodong, Gao Anwei, Xue Kuntang, Shen Yingyong, Hou Aging (Albany NY) Research Paper Background: Rectal gastrointestinal stromal tumors (RGISTs) are biologically characterized tumors that are relatively rare. Thus, few studies have reported a specific prognostic system for this subset of tumors but integrated it into parallel systems, such as small intestine. Our aim is to develop a new predictive staging system nomogram (named FD-ZS system) for RGISTs. Results: Tumor size and mitotic rate were independent risk factors for tumor recurrence in RGISTs according to univariate and multivariate survival analyses. A prognostic predictive nomogram was developed, and a cut-off value of 65 points was calculated by X-tile to discriminate risk based on tumor size and mitotic rate. The C-indices for the FD-ZS, FD-Hou, NIH, and WHO systems were 0.706, 0.693, 0.687, and 0.680, respectively. Conclusion: In the present study, a concise two-tier grading system (FD-ZS) for prognostic prediction of RGISTs that is simpler to several reported systems was developed, and a cut-off value was established to help RGIST patients determine whether to undergo adjuvant imatinib treatment. Methods: A nomogram was employed, and its predictive accuracy and discriminative ability were determined by concordance index (C-index) and calibration curve analyses. The nomogram was then compared with three stratification systems used for GISTs (FD-Hou, NIH, and WHO). Impact Journals 2020-06-20 /pmc/articles/PMC7343501/ /pubmed/32561689 http://dx.doi.org/10.18632/aging.103204 Text en Copyright © 2020 Jiaxin et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Jiaxin, Liu
Peiyun, Zhou
Zheng, Tang
Wei, Yuan
Shanshan, Shen
Lei, Ren
Zhengwen, Xing
Yong, Fang
Xiaodong, Gao
Anwei, Xue
Kuntang, Shen
Yingyong, Hou
Comparison of prognostic prediction models for rectal gastrointestinal stromal tumor
title Comparison of prognostic prediction models for rectal gastrointestinal stromal tumor
title_full Comparison of prognostic prediction models for rectal gastrointestinal stromal tumor
title_fullStr Comparison of prognostic prediction models for rectal gastrointestinal stromal tumor
title_full_unstemmed Comparison of prognostic prediction models for rectal gastrointestinal stromal tumor
title_short Comparison of prognostic prediction models for rectal gastrointestinal stromal tumor
title_sort comparison of prognostic prediction models for rectal gastrointestinal stromal tumor
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7343501/
https://www.ncbi.nlm.nih.gov/pubmed/32561689
http://dx.doi.org/10.18632/aging.103204
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