Literature DB >> 33585198

Novel Prognostic Nomogram for Recurrence-Free Survival of Patients With Primary Gastrointestinal Stromal Tumors After Surgical Resection: Combination of Prognostic Nutritional Index and Basic Variables.

Shuliang Li1,2,3, Daming Chen1,4, Shilong Li1,5, Zongxian Zhao1, Huaxiang Yang1,5, DaoHan Wang1,5, Zhaoxiong Zhang1, Weihua Fu1,5.   

Abstract

BACKGROUND: Gastrointestinal stromal tumor (GIST) is the most common type of mesenchymal tumors in the digestive tract, often recrudescing even after R0 resection. Adjuvant tyrosine kinase inhibitor therapy prolonged recurrence-free survival (RFS). This study aimed to develop a novel nomogram for predicting the RFS of patients following surgical resection of GISTs.
METHODS: Clinicopathologic data of patients with GISTs at Tianjin Medical University General Hospital (Tianjin, China) from January 2000 to October 2019 were retrospectively reviewed. Univariate and multivariate Cox regression analyses were used to select the suitable variables from the training cohort to construct a nomogram for 2- and 5-year RFS. The 1,000 bootstrap samples and calibration curves were used to validate the discrimination of the nomogram. The receiver operating characteristic analysis(ROC) was used to compare the predictive ability of the nomogram and present four commonly used risk stratification systems: National Institutes of Health (NIH)-Fletcher staging system; NIH-Miettinen criteria; Modified NIH criteria; and Air Forces Institute of Pathology risk criteria (AFIP).
RESULTS: Univariate and multivariate analyses showed that the tumor site, tumor size, mitotic index, tumor rupture, and prognostic nutritional index were significant factors associated with RFS. These variables were selected to create the nomogram for 2- and 5-year RFS (all P<0.05). The 2- and 5-year the ROC of the nomogram were 0.821 (95% confidence interval [CI]: 0.740-0.903) and 0.798 (95% CI: 0.739-0.903); NIH-Fletcher criteria were 0.757 (95% CI: 0.667-0.846) and 0.683 (95% CI: 0.613-0.753); NIH-Miettinen criteria were 0.762 (95% CI: 0.678-0.845) and 0.718 (95% CI: 0.653-0.783); Modified NIH criteria were 0.750 (95% CI: 0.661-0.838) and 0.689 (95% CI: 0.619-0.760); and AFIP were 0.777 (95% CI: 0.685-0.869) and 0.708 (95% CI: 0.636-0.780). Hence, the predictive probabilities of our nomogram are better than those of other GIST risk stratification systems.
CONCLUSION: This nomogram, combining tumor site, tumor size, mitotic index, tumor rupture, and prognostic nutritional index, may assist physicians in providing individualized treatment and surveillance protocols for patients with GISTs following surgical resection.
Copyright © 2021 Li, Chen, Li, Zhao, Yang, Wang, Zhang and Fu.

Entities:  

Keywords:  gastrointestinal stromal tumors; nomogram; prognosis; prognostic nutritional index; recurrence-free survival

Year:  2021        PMID: 33585198      PMCID: PMC7877338          DOI: 10.3389/fonc.2020.581855

Source DB:  PubMed          Journal:  Front Oncol        ISSN: 2234-943X            Impact factor:   6.244


  37 in total

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Authors:  Vinod P Balachandran; Mithat Gonen; J Joshua Smith; Ronald P DeMatteo
Journal:  Lancet Oncol       Date:  2015-04       Impact factor: 41.316

Review 2.  Risk stratification systems for surgically treated localized primary Gastrointestinal Stromal Tumors (GIST). Review of literature and comparison of the three prognostic criteria: MSKCC Nomogramm, NIH-Fletcher and AFIP-Miettinen.

Authors:  Giulio Belfiori; Massimo Sartelli; Luca Cardinali; Cristian Tranà; Raffaella Bracci; Rosaria Gesuita; Cristina Marmorale
Journal:  Ann Ital Chir       Date:  2015 May-Jun       Impact factor: 0.766

3.  Gastrointestinal stromal tumours: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up.

Authors: 
Journal:  Ann Oncol       Date:  2014-09       Impact factor: 32.976

4.  Clinical significance of prognostic nutritional index (PNI) in malignant melanoma.

Authors:  Cem Mirili; Ali Yılmaz; Serkan Demirkan; Mehmet Bilici; Salim Basol Tekin
Journal:  Int J Clin Oncol       Date:  2019-05-09       Impact factor: 3.402

5.  The accuracy of three predictive models in the evaluation of recurrence rates for gastrointestinal stromal tumors.

Authors:  Jennifer M Racz; Savtaj S Brar; Michelle C Cleghorn; M Carolina Jimenez; Arash Azin; Eshetu G Atenafu; Timothy D Jackson; Allan Okrainec; Fayez A Quereshy
Journal:  J Surg Oncol       Date:  2014-12-10       Impact factor: 3.454

6.  Clinical Significance of Prognostic Nutritional Index After Surgical Treatment in Lung Cancer.

Authors:  Satoru Okada; Junichi Shimada; Daishiro Kato; Hiroaki Tsunezuka; Satoshi Teramukai; Masayoshi Inoue
Journal:  Ann Thorac Surg       Date:  2017-04-19       Impact factor: 4.330

7.  Development and validation of a prognostic nomogram for recurrence-free survival after complete surgical resection of localised primary gastrointestinal stromal tumour: a retrospective analysis.

Authors:  Jason S Gold; Mithat Gönen; Antonio Gutiérrez; Javier Martín Broto; Xavier García-del-Muro; Thomas C Smyrk; Robert G Maki; Samuel Singer; Murray F Brennan; Cristina R Antonescu; John H Donohue; Ronald P DeMatteo
Journal:  Lancet Oncol       Date:  2009-09-28       Impact factor: 41.316

Review 8.  The standard diagnosis, treatment, and follow-up of gastrointestinal stromal tumors based on guidelines.

Authors:  Toshirou Nishida; Jean-Yves Blay; Seiichi Hirota; Yuko Kitagawa; Yoon-Koo Kang
Journal:  Gastric Cancer       Date:  2015-08-15       Impact factor: 7.370

9.  Systemic Immune-Inflammation Index Predicts Prognosis of Patients with Esophageal Squamous Cell Carcinoma: A Propensity Score-matched Analysis.

Authors:  Yiting Geng; Yingjie Shao; Danxia Zhu; Xiao Zheng; Qi Zhou; Wenjie Zhou; Xuefeng Ni; Changping Wu; Jingting Jiang
Journal:  Sci Rep       Date:  2016-12-21       Impact factor: 4.379

10.  Relationship of prognostic nutritional index with prognosis of gastrointestinal stromal tumors.

Authors:  Jianyi Sun; Ying Mei; Qiutao Zhu; Chunhui Shou; Welda E H Tjhoi; Weili Yang; Hang Yu; Qing Zhang; Xiaosun Liu; Jiren Yu
Journal:  J Cancer       Date:  2019-06-02       Impact factor: 4.207

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