A Nomogram to Predict Disease-Free Survival After Surgical Resection of GIST

• Published in: Journal of gastrointestinal surgery Vol. 18; no. 12; pp. 2123 - 2129
• Main Authors: Bischof, Danielle A., Kim, Yuhree, Behman, Ramy, Karanicolas, Paul J., Quereshy, Fayez A., Blazer, Dan G., Maithel, Shishir K., Gamblin, T. Clark, Bauer, Todd W., Pawlik, Timothy M.
• Format: Journal Article
• Language: English
• Published: Boston Springer US 01.12.2014; Springer Nature B.V
• Subjects: Aged; Canada - epidemiology; Cancer; Digestive System Surgical Procedures; Disease-Free Survival; Female; Gastroenterology; Gastrointestinal Neoplasms - surgery; Gastrointestinal Stromal Tumors - surgery; Health care networks; Health sciences; Humans; Incidence; Male; Medical prognosis; Medicine; Medicine & Public Health; Middle Aged; Neoplasm Recurrence, Local - epidemiology; Nomograms; Original Article; Patients; Retrospective Studies; Surgery; Tumors; United States - epidemiology; Canada; United States; Atlanta Georgia; United States > US; Baltimore Maryland; GIST; Prognosis; Outcome; Nomogram
• ISSN: 1091-255X; 1873-4626
• DOI: 10.1007/s11605-014-2658-2

Background Gastrointestinal stromal tumors (GISTs) are the most common mesenchymal tumors of the gastrointestinal tract. Adjuvant imatinib therapy has resulted in improved disease-free survival (DFS) following resection of primary GIST. The aim of our study was to create a nomogram to predict DFS following resection of GIST. Method Using a multi-institutional cohort of patients who underwent surgery for primary GIST at 7 academic hospitals in the USA and Canada between January 1998 and December 2012, a multivariable Cox proportional hazards model predicting DFS was created using backward stepwise selection. A nomogram to predict DFS following surgical resection of GIST was constructed with the variables selected in the multivariable model. We tested nomogram discrimination by calculating the C-statistic and compared the nomogram to four existing GIST prognostic stratification systems. Results A total of 365 patients who underwent surgery for primary GIST was included in the study. Using backward stepwise selection, sex, tumor size, tumor site, and mitotic rate were selected for incorporation into the nomogram. The nomogram demonstrated superior discrimination compared to the NIH criteria, modified NIH criteria, and Memorial Sloan-Kettering Nomogram and had similar discrimination to the Miettinen criteria (C-statistic 0.77 vs 0.73, 0.71, 0.71, and 0.78, respectively). Conclusion Four independent predictors of recurrence following surgery for primary GIST were used to create a nomogram to predict DFS. The nomogram stratified patients into prognostic groups and performed well on internal validation.