An Inflammation-Index Signature Predicts Prognosis of Patients with Intrahepatic Cholangiocarcinoma After Curative Resection
Chaobin He,1,* Chongyu Zhao,1,* Yu Zhang,2,* Cheng Chen,3 Xiaojun Lin1 1Department of Pancreatobiliary Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, 510060, People’s Republic o...
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Dove Medical Press
2021
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oai:doaj.org-article:214f59d40bd84620b546be1f112764192021-12-02T16:58:10ZAn Inflammation-Index Signature Predicts Prognosis of Patients with Intrahepatic Cholangiocarcinoma After Curative Resection1178-7031https://doaj.org/article/214f59d40bd84620b546be1f112764192021-05-01T00:00:00Zhttps://www.dovepress.com/an-inflammation-index-signature-predicts-prognosis-of-patients-with-in-peer-reviewed-fulltext-article-JIRhttps://doaj.org/toc/1178-7031Chaobin He,1,* Chongyu Zhao,1,* Yu Zhang,2,* Cheng Chen,3 Xiaojun Lin1 1Department of Pancreatobiliary Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, 510060, People’s Republic of China; 2State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong, 510060, People’s Republic of China; 3Department of Cardiology, The First Affiliated Hospital of Dalian Medical University, Dalian, People’s Republic of China*These authors contributed equally to this workCorrespondence: Xiaojun LinDepartment of Pancreatobiliary Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, 510060, People’s Republic of ChinaEmail linxj@sysucc.org.cnBackground: The prognosis of patients with intrahepatic cholangiocarcinoma (ICC) after resection is at great variance. We aimed to establish a novel prognostic nomogram in facilitating the risk stratification for these patients.Methods: A total of 82 high-dimensional radiological and pathological data were analyzed by LASSO-penalized Cox regression analyses and the panels with the best predictive performance were selected. Specific nomograms were established based on the selected panels and were validated in both primary (n=292) and validation cohorts (n=107). The area under the receiver operating characteristic curve (AUC) and the concordance index (C-index) were used to compare the predictive ability of nomograms and other staging systems.Results: The modified Glasgow Prognostic Score (mGPS) was identified as the prognostic factor for both overall survival (OS) and progression-free survival (PFS). The nomograms built on the prognostic factors showed powerful efficacy in survival prediction, with C-indexes of 0.800 (95% CI 0.767– 0.833) and 0.752 (95% CI 0.718– 0.786) for OS and PFS in the primary cohort, 0.659 (95% CI 0.586– 0.732) and 0.638 (95% CI 0.571– 0.705) for OS and PFS in the validation cohort, respectively. Compared with tumor-node-metastasis stage, Barcelona Clinic Liver Cancer staging score, Cancer of the Liver Italian Program score, and Okuda staging system, the nomograms had significantly higher values of AUC and C-indexes in survival prediction in the primary and validation cohorts.Conclusion: Compared with currently used staging systems, the nomograms showed significantly higher efficacy in predicting survival of ICC patients after resection. The nomograms provide new versions of personalized management for these patients.Keywords: intrahepatic cholangiocarcinoma, inflammation index, nomogram, prognosis, predictionHe CZhao CZhang YChen CLin XDove Medical Pressarticleintrahepatic cholangiocarcinomainflammation indexnomogramprognosispredictionPathologyRB1-214Therapeutics. PharmacologyRM1-950ENJournal of Inflammation Research, Vol Volume 14, Pp 1859-1872 (2021) |
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intrahepatic cholangiocarcinoma inflammation index nomogram prognosis prediction Pathology RB1-214 Therapeutics. Pharmacology RM1-950 |
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intrahepatic cholangiocarcinoma inflammation index nomogram prognosis prediction Pathology RB1-214 Therapeutics. Pharmacology RM1-950 He C Zhao C Zhang Y Chen C Lin X An Inflammation-Index Signature Predicts Prognosis of Patients with Intrahepatic Cholangiocarcinoma After Curative Resection |
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Chaobin He,1,* Chongyu Zhao,1,* Yu Zhang,2,* Cheng Chen,3 Xiaojun Lin1 1Department of Pancreatobiliary Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, 510060, People’s Republic of China; 2State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, Guangdong, 510060, People’s Republic of China; 3Department of Cardiology, The First Affiliated Hospital of Dalian Medical University, Dalian, People’s Republic of China*These authors contributed equally to this workCorrespondence: Xiaojun LinDepartment of Pancreatobiliary Surgery, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, 510060, People’s Republic of ChinaEmail linxj@sysucc.org.cnBackground: The prognosis of patients with intrahepatic cholangiocarcinoma (ICC) after resection is at great variance. We aimed to establish a novel prognostic nomogram in facilitating the risk stratification for these patients.Methods: A total of 82 high-dimensional radiological and pathological data were analyzed by LASSO-penalized Cox regression analyses and the panels with the best predictive performance were selected. Specific nomograms were established based on the selected panels and were validated in both primary (n=292) and validation cohorts (n=107). The area under the receiver operating characteristic curve (AUC) and the concordance index (C-index) were used to compare the predictive ability of nomograms and other staging systems.Results: The modified Glasgow Prognostic Score (mGPS) was identified as the prognostic factor for both overall survival (OS) and progression-free survival (PFS). The nomograms built on the prognostic factors showed powerful efficacy in survival prediction, with C-indexes of 0.800 (95% CI 0.767– 0.833) and 0.752 (95% CI 0.718– 0.786) for OS and PFS in the primary cohort, 0.659 (95% CI 0.586– 0.732) and 0.638 (95% CI 0.571– 0.705) for OS and PFS in the validation cohort, respectively. Compared with tumor-node-metastasis stage, Barcelona Clinic Liver Cancer staging score, Cancer of the Liver Italian Program score, and Okuda staging system, the nomograms had significantly higher values of AUC and C-indexes in survival prediction in the primary and validation cohorts.Conclusion: Compared with currently used staging systems, the nomograms showed significantly higher efficacy in predicting survival of ICC patients after resection. The nomograms provide new versions of personalized management for these patients.Keywords: intrahepatic cholangiocarcinoma, inflammation index, nomogram, prognosis, prediction |
format |
article |
author |
He C Zhao C Zhang Y Chen C Lin X |
author_facet |
He C Zhao C Zhang Y Chen C Lin X |
author_sort |
He C |
title |
An Inflammation-Index Signature Predicts Prognosis of Patients with Intrahepatic Cholangiocarcinoma After Curative Resection |
title_short |
An Inflammation-Index Signature Predicts Prognosis of Patients with Intrahepatic Cholangiocarcinoma After Curative Resection |
title_full |
An Inflammation-Index Signature Predicts Prognosis of Patients with Intrahepatic Cholangiocarcinoma After Curative Resection |
title_fullStr |
An Inflammation-Index Signature Predicts Prognosis of Patients with Intrahepatic Cholangiocarcinoma After Curative Resection |
title_full_unstemmed |
An Inflammation-Index Signature Predicts Prognosis of Patients with Intrahepatic Cholangiocarcinoma After Curative Resection |
title_sort |
inflammation-index signature predicts prognosis of patients with intrahepatic cholangiocarcinoma after curative resection |
publisher |
Dove Medical Press |
publishDate |
2021 |
url |
https://doaj.org/article/214f59d40bd84620b546be1f11276419 |
work_keys_str_mv |
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