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Development and validation of a prognostic nomogram to predict recurrence in high-risk gastrointestinal stromal tumour: A retrospective analysis of two independent cohorts

BACKGROUND: The risk of recurrence in localised, primary gastrointestinal stromal tumour (GIST) classified as high-risk after complete resection varies significantly. Thus, we aimed to develop a nomogram to predict the recurrence of high-risk GIST after surgery to aid patient selection. METHODS: We...

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Autores principales: Lin, Yao, Wang, Ming, Jia, Jie, Wan, Wenze, Wang, Tao, Yang, Wenchang, Li, Chengguo, Chen, Xin, Cao, Hui, Zhang, Peng, Tao, Kaixiong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7522759/
https://www.ncbi.nlm.nih.gov/pubmed/32980695
http://dx.doi.org/10.1016/j.ebiom.2020.103016
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author Lin, Yao
Wang, Ming
Jia, Jie
Wan, Wenze
Wang, Tao
Yang, Wenchang
Li, Chengguo
Chen, Xin
Cao, Hui
Zhang, Peng
Tao, Kaixiong
author_facet Lin, Yao
Wang, Ming
Jia, Jie
Wan, Wenze
Wang, Tao
Yang, Wenchang
Li, Chengguo
Chen, Xin
Cao, Hui
Zhang, Peng
Tao, Kaixiong
author_sort Lin, Yao
collection PubMed
description BACKGROUND: The risk of recurrence in localised, primary gastrointestinal stromal tumour (GIST) classified as high-risk after complete resection varies significantly. Thus, we aimed to develop a nomogram to predict the recurrence of high-risk GIST after surgery to aid patient selection. METHODS: We retrospectively evaluated patients (n = 424) with high-risk GIST who underwent curative resection as the initial treatment at two high-volume medical centres, between January 2005 and September 2019. The least absolute shrinkage and selection operator (LASSO) regression model was utilised to select potentially relevant features. Multivariate Cox proportional hazards analysis was used to develop a novel nomogram. FINDINGS: The nomogram comprised age, fibrinogen levels, prognostic nutritional index (PNI), platelet-lymphocyte ratio (PLR), mitotic counts and tumour size, which provided favourable calibration and discrimination in the training dataset with an AUC of 0•749 and a C-index of 0•742 (95%CI:0•689–0•804). Further, it showed acceptable discrimination in the validation cohort, with an AUC of 0•778 and C-index of 0•735 (95%CI:0•634–0•846). The time-dependant receiver operating characteristic (ROC) curves performed well throughout the observation period. Additionally, the nomogram could classify high-risk GISTs into ‘very high-risk’ and ‘general high-risk’ groups with a hazard ratio (HR) of 5•190 (95%CI: 3•202–8•414) and 5•438 (95%CI: 2•236–13•229) for the training and validation datasets, respectively. INTERPRETATION: The nomogram independently predicted post-operative recurrence-free survival (RFS) in high-risk GIST and showed favourable discrimination and calibration values. It may be a useful clinical tool for identifying ‘very high-risk’ GIST, by allowing treatment strategy optimisation in these patients. FUNDING: National Natural Science Foundation of China (No. 81702386 and 81874184)
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spelling pubmed-75227592020-10-02 Development and validation of a prognostic nomogram to predict recurrence in high-risk gastrointestinal stromal tumour: A retrospective analysis of two independent cohorts Lin, Yao Wang, Ming Jia, Jie Wan, Wenze Wang, Tao Yang, Wenchang Li, Chengguo Chen, Xin Cao, Hui Zhang, Peng Tao, Kaixiong EBioMedicine Research Paper BACKGROUND: The risk of recurrence in localised, primary gastrointestinal stromal tumour (GIST) classified as high-risk after complete resection varies significantly. Thus, we aimed to develop a nomogram to predict the recurrence of high-risk GIST after surgery to aid patient selection. METHODS: We retrospectively evaluated patients (n = 424) with high-risk GIST who underwent curative resection as the initial treatment at two high-volume medical centres, between January 2005 and September 2019. The least absolute shrinkage and selection operator (LASSO) regression model was utilised to select potentially relevant features. Multivariate Cox proportional hazards analysis was used to develop a novel nomogram. FINDINGS: The nomogram comprised age, fibrinogen levels, prognostic nutritional index (PNI), platelet-lymphocyte ratio (PLR), mitotic counts and tumour size, which provided favourable calibration and discrimination in the training dataset with an AUC of 0•749 and a C-index of 0•742 (95%CI:0•689–0•804). Further, it showed acceptable discrimination in the validation cohort, with an AUC of 0•778 and C-index of 0•735 (95%CI:0•634–0•846). The time-dependant receiver operating characteristic (ROC) curves performed well throughout the observation period. Additionally, the nomogram could classify high-risk GISTs into ‘very high-risk’ and ‘general high-risk’ groups with a hazard ratio (HR) of 5•190 (95%CI: 3•202–8•414) and 5•438 (95%CI: 2•236–13•229) for the training and validation datasets, respectively. INTERPRETATION: The nomogram independently predicted post-operative recurrence-free survival (RFS) in high-risk GIST and showed favourable discrimination and calibration values. It may be a useful clinical tool for identifying ‘very high-risk’ GIST, by allowing treatment strategy optimisation in these patients. FUNDING: National Natural Science Foundation of China (No. 81702386 and 81874184) Elsevier 2020-09-25 /pmc/articles/PMC7522759/ /pubmed/32980695 http://dx.doi.org/10.1016/j.ebiom.2020.103016 Text en © 2020 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Paper
Lin, Yao
Wang, Ming
Jia, Jie
Wan, Wenze
Wang, Tao
Yang, Wenchang
Li, Chengguo
Chen, Xin
Cao, Hui
Zhang, Peng
Tao, Kaixiong
Development and validation of a prognostic nomogram to predict recurrence in high-risk gastrointestinal stromal tumour: A retrospective analysis of two independent cohorts
title Development and validation of a prognostic nomogram to predict recurrence in high-risk gastrointestinal stromal tumour: A retrospective analysis of two independent cohorts
title_full Development and validation of a prognostic nomogram to predict recurrence in high-risk gastrointestinal stromal tumour: A retrospective analysis of two independent cohorts
title_fullStr Development and validation of a prognostic nomogram to predict recurrence in high-risk gastrointestinal stromal tumour: A retrospective analysis of two independent cohorts
title_full_unstemmed Development and validation of a prognostic nomogram to predict recurrence in high-risk gastrointestinal stromal tumour: A retrospective analysis of two independent cohorts
title_short Development and validation of a prognostic nomogram to predict recurrence in high-risk gastrointestinal stromal tumour: A retrospective analysis of two independent cohorts
title_sort development and validation of a prognostic nomogram to predict recurrence in high-risk gastrointestinal stromal tumour: a retrospective analysis of two independent cohorts
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7522759/
https://www.ncbi.nlm.nih.gov/pubmed/32980695
http://dx.doi.org/10.1016/j.ebiom.2020.103016
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