Diamantis I Tsilimigras1, Rittal Mehta1, Luca Aldrighetti2, George A Poultsides3, Shishir K Maithel4, Guillaume Martel5, Feng Shen6, Bas Groot Koerkamp7, Itaru Endo8, Timothy M Pawlik9. 1. Department of Surgery, Division of Surgical Oncology, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, OH. 2. Department of Surgery, Ospedale San Raffaele, Milano, Italy. 3. Department of Surgery, Stanford University, Stanford, CA. 4. Department of Surgery, Emory University, Atlanta, GA. 5. Department of Surgery, University of Ottawa, Ottawa, Ontario, Canada. 6. Department of Surgery, Eastern Hepatobiliary Surgery Hospital, Shanghai, China. 7. Department of Surgery, Erasmus University Medical Centre, Rotterdam, the Netherlands. 8. Department of Gastroenterological Surgery, Yokohama City University School of Medicine, Yokohama, Japan. 9. Department of Surgery, Division of Surgical Oncology, The Ohio State University Wexner Medical Center and James Comprehensive Cancer Center, Columbus, OH. Electronic address: tim.pawlik@osumc.edu.
Abstract
BACKGROUND: Estimating prognosis in the preoperative setting is challenging, as most survival risk scores rely exclusively on postoperative factors. We sought to develop a composite score that incorporated preoperative liver, tumor, nutritional, and inflammatory markers to predict long-term outcomes after resection of intrahepatic cholangiocarcinoma (ICC). STUDY DESIGN: Patients who underwent curative-intent hepatectomy for ICC between 2000 and 2017 were identified using an international multi-institutional database. Clinicopathologic factors were assessed using bivariate and multivariable analysis and a prognostic model to estimate overall survival (OS) based only on preoperative laboratory values (LabScore) was developed and validated. RESULTS: Among 660 patients, median OS was 43.2 months and 5-year OS rate was 42.4%. On multivariable analysis, laboratory values associated with OS included carbohydrate antigen 19-9 (hazard ratio [HR] 1.16; 95% CI 1.05 to 1.27), neutrophil-to-lymphocyte ratio (HR 1.09; 95% CI, 1.05 to 1.13), platelet count (HR 1.01; 95% CI, 1.00 to 1.01), and albumin (HR 0.75; 95% CI, 0.62 to 0.92). A weighted LabScore was constructed based on the formula: (8.2 + 1.45 × natural logarithm of carbohydrate antigen 19-9 + 0.84 × neutrophil-to-lymphocyte ratio + 0.03 × platelets - 2.83 × albumin). Patients with a LabScore of 0 to 9 (n = 223), 10 to 19 (n = 353) and ≥20 (n = 88) had incrementally worse 5-year OS rates of 54.9%, 38.2% and 21.6%, respectively (p < 0.001). The model demonstrated good performance in both the test (c-index 0.70) and validation cohorts (c-index 0.67), as well as outperformed individual laboratory markers, the prognostic nutritional index (c-index 0.58), and American Joint Committee on Cancer staging system (c-index 0.60). CONCLUSIONS: A preoperative LabScore was able to predict long-term outcomes of patients after resection for ICC better than American Joint Committee on Cancer staging system. The LabScore can be used to preoperatively identify patients who will benefit the most from upfront operation or alternative treatment options, including neoadjuvant chemotherapy before resection.
BACKGROUND: Estimating prognosis in the preoperative setting is challenging, as most survival risk scores rely exclusively on postoperative factors. We sought to develop a composite score that incorporated preoperative liver, tumor, nutritional, and inflammatory markers to predict long-term outcomes after resection of intrahepatic cholangiocarcinoma (ICC). STUDY DESIGN:Patients who underwent curative-intent hepatectomy for ICC between 2000 and 2017 were identified using an international multi-institutional database. Clinicopathologic factors were assessed using bivariate and multivariable analysis and a prognostic model to estimate overall survival (OS) based only on preoperative laboratory values (LabScore) was developed and validated. RESULTS: Among 660 patients, median OS was 43.2 months and 5-year OS rate was 42.4%. On multivariable analysis, laboratory values associated with OS included carbohydrate antigen 19-9 (hazard ratio [HR] 1.16; 95% CI 1.05 to 1.27), neutrophil-to-lymphocyte ratio (HR 1.09; 95% CI, 1.05 to 1.13), platelet count (HR 1.01; 95% CI, 1.00 to 1.01), and albumin (HR 0.75; 95% CI, 0.62 to 0.92). A weighted LabScore was constructed based on the formula: (8.2 + 1.45 × natural logarithm of carbohydrate antigen 19-9 + 0.84 × neutrophil-to-lymphocyte ratio + 0.03 × platelets - 2.83 × albumin). Patients with a LabScore of 0 to 9 (n = 223), 10 to 19 (n = 353) and ≥20 (n = 88) had incrementally worse 5-year OS rates of 54.9%, 38.2% and 21.6%, respectively (p < 0.001). The model demonstrated good performance in both the test (c-index 0.70) and validation cohorts (c-index 0.67), as well as outperformed individual laboratory markers, the prognostic nutritional index (c-index 0.58), and American Joint Committee on Cancer staging system (c-index 0.60). CONCLUSIONS: A preoperative LabScore was able to predict long-term outcomes of patients after resection for ICC better than American Joint Committee on Cancer staging system. The LabScore can be used to preoperatively identify patients who will benefit the most from upfront operation or alternative treatment options, including neoadjuvant chemotherapy before resection.
Authors: Woo Jin Choi; Phil J Williams; Marco P A W Claasen; Tommy Ivanics; Marina Englesakis; Steven Gallinger; Bettina Hansen; Gonzalo Sapisochin Journal: Ann Surg Oncol Date: 2022-02-18 Impact factor: 5.344
Authors: S Bennett; K Søreide; S Gholami; P Pessaux; C Teh; E Segelov; H Kennecke; H Prenen; S Myrehaug; D Callegaro; J Hallet Journal: Curr Oncol Date: 2020-10-01 Impact factor: 3.677
Authors: Diamantis I Tsilimigras; Kota Sahara; Lu Wu; Dimitrios Moris; Fabio Bagante; Alfredo Guglielmi; Luca Aldrighetti; Matthew Weiss; Todd W Bauer; Sorin Alexandrescu; George A Poultsides; Shishir K Maithel; Hugo P Marques; Guillaume Martel; Carlo Pulitano; Feng Shen; Olivier Soubrane; B Groot Koerkamp; Amika Moro; Kazunari Sasaki; Federico Aucejo; Xu-Feng Zhang; Ryusei Matsuyama; Itaru Endo; Timothy M Pawlik Journal: JAMA Surg Date: 2020-09-01 Impact factor: 14.766
Authors: Lejia Sun; Si Su; Jianping Xiong; Wenmo Hu; Lei Liu; Haifeng Xu; Shunda Du; Haitao Zhao; Xin Lu; Xinting Sang; Shouxian Zhong; Huayu Yang; Yilei Mao Journal: Ann Transl Med Date: 2021-04