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Kim HS, Kang MJ, Kang J, Kim K, Kim B, Kim SH, Kim SJ, Kim YI, Kim JY, Kim JS, Kim H, Kim HJ, Nahm JH, Park WS, Park E, Park JK, Park JM, Song BJ, Shin YC, Ahn KS, Woo SM, Yu JI, Yoo C, Lee K, Lee DH, Lee MA, Lee SE, Lee IJ, Lee H, Im JH, Jang KT, Jang HY, Jun SY, Chon HJ, Jung MK, Chung YE, Chong JU, Cho E, Chie EK, Choi SB, Choi SY, Choi SJ, Choi JY, Choi HJ, Hong SM, Hong JH, Hong TH, Hwang SH, Hwang IG, Park JS. Practice guidelines for managing extrahepatic biliary tract cancers. Ann Hepatobiliary Pancreat Surg 2024; 28:161-202. [PMID: 38679456 PMCID: PMC11128785 DOI: 10.14701/ahbps.23-170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 02/14/2024] [Accepted: 02/15/2024] [Indexed: 05/01/2024] Open
Abstract
Backgrounds/Aims Reported incidence of extrahepatic bile duct cancer is higher in Asians than in Western populations. Korea, in particular, is one of the countries with the highest incidence rates of extrahepatic bile duct cancer in the world. Although research and innovative therapeutic modalities for extrahepatic bile duct cancer are emerging, clinical guidelines are currently unavailable in Korea. The Korean Society of Hepato-Biliary-Pancreatic Surgery in collaboration with related societies (Korean Pancreatic and Biliary Surgery Society, Korean Society of Abdominal Radiology, Korean Society of Medical Oncology, Korean Society of Radiation Oncology, Korean Society of Pathologists, and Korean Society of Nuclear Medicine) decided to establish clinical guideline for extrahepatic bile duct cancer in June 2021. Methods Contents of the guidelines were developed through subgroup meetings for each key question and a preliminary draft was finalized through a Clinical Guidelines Committee workshop. Results In November 2021, the finalized draft was presented for public scrutiny during a formal hearing. Conclusions The extrahepatic guideline committee believed that this guideline could be helpful in the treatment of patients.
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Affiliation(s)
- Hyung Sun Kim
- Department of Surgery, Pancreatobiliary Clinic, Yonsei University College of Medicine, Seoul, Korea
| | - Mee Joo Kang
- Center for Liver and Pancreatobiliary Cancer, National Cancer Center, Goyang, Korea
| | - Jingu Kang
- Department of Internal Medicine, Kangdong Sacred Heart Hospital of Hallym University Medical Center, Seoul, Korea
| | - Kyubo Kim
- Department of Radiation Oncology, Seoul National University Bundang Hospital, Seongnam, Korea
| | - Bohyun Kim
- Department of Radiology, Seoul St. Mary’s Hospital, College of Medicine, the Catholic University of Korea, Seoul, Korea
| | - Seong-Hun Kim
- Department of Internal Medicine, Jeonbuk National University Medical School and Research Institute of Clinical Medicine of Jeonbuk National University-Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju, Korea
| | - Soo Jin Kim
- Department of Radiology, National Cancer Center, Goyang, Korea
| | - Yong-Il Kim
- Department of Nuclear Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Joo Young Kim
- Department of Pathology, Kangnam Sacred Heart Hospital, Hallym University College of Medicine, Seoul, Korea
| | - Jin Sil Kim
- Department of Radiology, School of Medicine, Ewha Womans University, Seoul, Korea
| | - Haeryoung Kim
- Department of Pathology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Hyo Jung Kim
- Department of Internal Medicine, Korea University Guro Hospital, Seoul, Korea
| | - Ji Hae Nahm
- Department of Pathology, Yonsei University College of Medicine, Seoul, Korea
| | - Won Suk Park
- Division of Gastroenterology, Department of Internal Medicine, Daejeon St. Mary’s Hospital College of Medicine, The Catholic University of Korea, Daejeon, Korea
| | - Eunkyu Park
- Division of HBP Surgery, Department of Surgery, Chonnam National University Hospital, Gwangju, Korea
| | - Joo Kyung Park
- Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Jin Myung Park
- Department of Internal Medicine, Kangwon National University School of Medicine, Chuncheon, Korea
| | - Byeong Jun Song
- Department of Internal Medicine, Myongji Hospital, Goyang, Korea
| | - Yong Chan Shin
- Department of Surgery, Ilsan Paik Hospital, Inje University College of Medicine, Goyang, Korea
| | - Keun Soo Ahn
- Division of Hepatobiliary and Pancreatic Surgery, Department of Surgery, Keimyung University Dongsan Hospital, Daegu, Korea
| | - Sang Myung Woo
- Center for Liver and Pancreatobiliary Cancer, Hospital, Immuno-Oncology Branch Division of Rare and Refractory Center, Research Institute of National Cancer Center, Goyang, Korea
| | - Jeong Il Yu
- Department of Radiation Oncology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Changhoon Yoo
- Department of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Kyoungbun Lee
- Department of Pathology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Korea
| | - Dong Ho Lee
- Department of Radiology, Seoul National University Hospital, Seoul, Korea
| | - Myung Ah Lee
- Division of Medical Oncology, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Seung Eun Lee
- Department of Surgery, Chung-Ang University Hospital, Chung-Ang University College of Medicine, Seoul, Korea
| | - Ik Jae Lee
- Department of Radiation Oncology, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Korea
| | - Huisong Lee
- Department of Surgery, Ewha Womans University Mokdong Hospital, Seoul, Korea
| | - Jung Ho Im
- Department of Radiation Oncology, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Korea
| | - Kee-Taek Jang
- Department of Pathology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Hye Young Jang
- Department of Radiology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Sun-Young Jun
- Department of Pathology, Incheon St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Hong Jae Chon
- Department of Medical Oncology, CHA Bundang Medical Center, CHA University School of Medicine, Seongnam, Korea
| | - Min Kyu Jung
- Division of Gastroenterology and Hepatology, Department of Internal Medicine Kyungpook National University Hospital, Kyungpook National University School of Medicine, Daegu, Korea
| | - Yong Eun Chung
- Department of Radiology, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea
| | - Jae Uk Chong
- Department of Surgery, National Health Insurance Services Ilsan Hospital, Goyang, Korea
| | - Eunae Cho
- Department of Internal Medicine, Chonnam National University Medical School, Gwangju, Korea
| | - Eui Kyu Chie
- Department of Radiation Oncology, Seoul National University College of Medicine, Seoul, Korea
| | - Sae Byeol Choi
- Department of Surgery, Korea Universtiy Guro Hospital, Korea University College of Medicine, Seoul, Korea
| | - Seo-Yeon Choi
- Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Seong Ji Choi
- Department of Internal Medicine, Hanyang University College of Medicine, Seoul, Korea
| | - Joon Young Choi
- Department of Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea
| | - Hye-Jeong Choi
- Department of Pathology, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Korea
| | - Seung-Mo Hong
- Department of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea
| | - Ji Hyung Hong
- Division of Medical Oncology, Department of Internal Medicine, College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Tae Ho Hong
- Division of Hepato-Biliary and Pancreas Surgery, Department of Surgery, Seoul St. Mary’s Hospital College of Medicine, The Catholic University of Korea, Seoul, Korea
| | - Shin Hye Hwang
- Department of Radiology, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin, Korea
| | - In Gyu Hwang
- Division of Hemato-Oncology, Department of Internal Medicine, Chung-Ang University Hospital Chung-Ang University College of Medicine, Seoul, Korea
| | - Joon Seong Park
- Department of Surgery, Pancreatobiliary Clinic, Yonsei University College of Medicine, Seoul, Korea
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Zhang Y, Qiao C, Zhao P, Zhang C. Prognostic model for oversurvival and tumor-specific survival prediction in patients with advanced extrahepatic cholangiocarcinoma: a population-based analysis. BMC Gastroenterol 2023; 23:422. [PMID: 38036949 PMCID: PMC10691049 DOI: 10.1186/s12876-023-03017-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Accepted: 10/28/2023] [Indexed: 12/02/2023] Open
Abstract
BACKGROUND The prognosis of patients with extrahepatic cholangiocarcinoma (ECCA) must be determined with precision. However, the usual TNM staging system has the drawback of ignoring age, adjuvant therapy, and gender and lacks the ability to more correctly predict patient prognosis. Therefore, we determine the risk factors of survival for patients with advanced ECCA patients and developed brand-new nomograms to forecast patients with advanced ECCA's overall survival (OS) and cancer-specific survival (CSS). METHOD From the Epidemiology and End Results (SEER) database, patients with advanced ECCA were chosen and randomly assigned in a ratio of 6:4 to the training and validation subgroups. The cumulative incidence function (CIF) difference between groups was confirmed by applying Gray's and Fine test and competing risk analyses. Next, the cancer-specific survival (CSS) and overall survival (OS) nomograms for advanced ECCA were developed and validated. RESULTS In accordance with the selection criteria, 403 patients with advanced ECCA were acquired from the SEER database and then split at random into two groups: a training group (n = 241) and a validation group (n = 162). The 1-, 2-, and 3-year cancer-specific mortality rates were 58.7, 74.2, and 78.0%, respectively, while the matching mortality rates for the competition were 10.0, 13.8, and 15.0%. Nomograms were generated for estimating OS and CSS, and they were assessed using the ROC curve and the C-index. The calibration curves showed that there was a fair amount of agreement between the expected and actual probabilities of OS and CSS. Additionally, greater areas under the ROC curve were seen in the newly developed nomograms for OS and CSS when compared to the 7th AJCC staging system. The advanced ECCA patients were divided into groupings with an elevated risk and those with a low risk and the Kaplan-Meier method was used for the survival analysis, which showed that survival time was shorter in the high-risk group than in the low-risk group. CONCLUSION The proposed nomograms have good predictive ability. The nomograms may can help doctors determine the prognosis of patients with advanced ECCA as well as provide more precise treatment plans for them.
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Affiliation(s)
- Yu Zhang
- Postgraduate School, Dalian Medical University, Dalian, China
- Department of General Surgery, The Affiliated Taizhou people's Hospital of Nanjing Medical University, Taizhou, China
| | - Chunzhong Qiao
- Department of General Surgery, The Affiliated Taizhou people's Hospital of Nanjing Medical University, Taizhou, China
| | - Peng Zhao
- Department of General Surgery, The Affiliated Taizhou people's Hospital of Nanjing Medical University, Taizhou, China.
| | - Changhe Zhang
- Department of General Surgery, The Affiliated Taizhou people's Hospital of Nanjing Medical University, Taizhou, China.
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Yang J, Shu C, Shang X, Xu H, Wei N. Prognostic Value of Systemic Immune-Inflammation Index-Based Nomogram in Patients with Extrahepatic Cholangiocarcinoma Treated by Percutaneous Transhepatic Biliary Stenting Combined with 125I Seed Intracavitary Irradiation. Int J Gen Med 2023; 16:2081-2094. [PMID: 37275332 PMCID: PMC10237196 DOI: 10.2147/ijgm.s411577] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Accepted: 05/15/2023] [Indexed: 06/07/2023] Open
Abstract
Purpose This study aimed to investigate the prognostic value of systemic immune-inflammation index (SII) in patients with extrahepatic cholangiocarcinoma (EHCC) treated by percutaneous transhepatic biliary stenting (PTBS) combined with 125I seed intracavitary irradiation and further develop a predictive model related to SII. Methods A total of 145 patients with EHCC who received PTBS combined with 125I seed implantation were retrospectively analyzed. The optimal cut-off value of SII was identified by receiver operating characteristic (ROC) curve analysis. Kaplan-Meier curves and Cox regression were applied to estimate the prognostic value of SII and identify other significant factors of overall survival (OS). Additionally, a novel nomogram was constructed. The concordance index (C-index), calibration plots and decision curve analysis were used to evaluate the performance of the nomogram model. Results The optimal cut-off value for preoperative SII of 890.2 stratified the patients into High-SII (H-SII) and Low-SII (L-SII) groups. Univariate and multivariate analyses demonstrated that SII was an independent factor for OS. We also found that better therapeutic effect could be obtained with combined postoperative chemotherapy (P < 0.001). Moreover, we revealed that elevated preoperative CA19-9 (P = 0.038) and TBIL level (P = 0.024) were reason for poor prognosis of EHCC. A well-discriminated and calibrated nomogram was developed to predict the 1-year and 2-year OS of EHCC (C-index: 0.709). Conclusion The SII may be a feasible and convenient prognosis predictor for EHCC. The comprehensive nomogram based on SII presented in this study is a promising model for predicting OS in EHCC patients after PTBS combined with 125I seed intracavitary irradiation.
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Affiliation(s)
- Jing Yang
- Department of Interventional Radiology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, 221006, People’s Republic of China
| | - Chengsen Shu
- Department of Interventional Radiology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, 221006, People’s Republic of China
| | - Xianfu Shang
- Department of Interventional Radiology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, 221006, People’s Republic of China
| | - Hao Xu
- Department of Interventional Radiology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, 221006, People’s Republic of China
| | - Ning Wei
- Department of Interventional Radiology, the Affiliated Hospital of Xuzhou Medical University, Xuzhou, Jiangsu, 221006, People’s Republic of China
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Sun Z, Han X, You W, Tang J, Xu J, Ye B, Li T, Zhang Y, Chen K, Ding Y, Wang W. Adjuvant therapy for cholangiocarcinoma after surgery and prognosis factors for cholangiocarcinoma: A single-center retrospective cohort study. Front Oncol 2023; 13:1116338. [PMID: 37007129 PMCID: PMC10063974 DOI: 10.3389/fonc.2023.1116338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Accepted: 02/24/2023] [Indexed: 03/19/2023] Open
Abstract
BackgroundCholangiocarcinoma (CCA) is a highly heterogeneous malignant tumor, and more than 60% of patients have recurrence and metastasis after surgery. The efficacy of postoperative adjuvant therapy for CCA remains unclear. This study aimed to explore whether adjuvant therapy benefits patients with CCA and examine the independent prognostic factors for overall survival (OS) and progression-free survival (PFS).MethodsPatients with CCA undergoing surgery were retrospectively enrolled in this study from June 2016 to June 2022. The chi-square test or Fisher exact test was used to analyze the correlation between clinicopathologic characteristics. Survival curves were plotted using the Kaplan-Meier method, and the Cox regression model was used for univariate and multivariate analysis to search for independent prognostic factors.ResultsOf the 215 eligible patients, 119 patients received adjuvant therapy, and the other 96 patients did not. The median follow-up was 37.5 months. The median OS of CCA patients with and without adjuvant therapy was 45 and 18 months (P < 0.001), respectively. The median PFS of CCA patients with and without adjuvant therapy was 34 and 8 months (P < 0.001), respectively. The Cox univariate and multivariate regression analysis showed that preoperative aspartate transaminase and carbohydrate antigen 19-9, microvascular invasion, lymph node metastasis, differentiation degree, and adjuvant therapy were independent prognostic factors for OS (all P values < 0.05). Preoperative carbohydrate antigen 125, microvascular invasion, lymph node metastasis, differentiation degree, and adjuvant therapy were independent prognostic factors for PFS (all P values < 0.05). The stratified analysis by TMN stage detected significant differences in the early stages (median OS [mOS]: P = 0.0128; median PFS [mPFS]: P = 0.0209) and advanced stages (mOS and mPFS: both P values < 0.001). Adjuvant therapy was also identified as a significantly favorable prognostic factor for OS and PFS in the early stages and advanced stages.ConclusionPostoperative adjuvant therapy can improve the prognosis of patients with CCA, even in the early stages and advanced stages. All data suggest that adjuvant therapy should be incorporated into the treatment of CCA in all cases, where appropriate.
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Affiliation(s)
- Zhongquan Sun
- Department of Hepatobiliary and Pancreatic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Key Laboratory of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Tumor of Zhejiang Province, Hangzhou, Zhejiang, China
- Research Center of Diagnosis and Treatment Technology for Hepatocellular Carcinoma of Zhejiang Province, Hangzhou, Zhejiang, China
- National Innovation Center for Fundamental Research on Cancer Medicine, Hangzhou, Zhejiang, China
- Cancer Center, Zhejiang University, Hangzhou, Zhejiang, China
- Zhejiang University (ZJU)-Pujian Research & Development Center of Medical Artificial Intelligence for Hepatobiliary and Pancreatic Disease, Hangzhou, Zhejiang, China
| | - Xin Han
- Department of Hepatobiliary and Pancreatic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Key Laboratory of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Tumor of Zhejiang Province, Hangzhou, Zhejiang, China
- Research Center of Diagnosis and Treatment Technology for Hepatocellular Carcinoma of Zhejiang Province, Hangzhou, Zhejiang, China
- National Innovation Center for Fundamental Research on Cancer Medicine, Hangzhou, Zhejiang, China
- Cancer Center, Zhejiang University, Hangzhou, Zhejiang, China
- Zhejiang University (ZJU)-Pujian Research & Development Center of Medical Artificial Intelligence for Hepatobiliary and Pancreatic Disease, Hangzhou, Zhejiang, China
| | - Wanlu You
- Department of Hepatobiliary and Pancreatic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Key Laboratory of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Tumor of Zhejiang Province, Hangzhou, Zhejiang, China
- Research Center of Diagnosis and Treatment Technology for Hepatocellular Carcinoma of Zhejiang Province, Hangzhou, Zhejiang, China
- National Innovation Center for Fundamental Research on Cancer Medicine, Hangzhou, Zhejiang, China
- Cancer Center, Zhejiang University, Hangzhou, Zhejiang, China
- Zhejiang University (ZJU)-Pujian Research & Development Center of Medical Artificial Intelligence for Hepatobiliary and Pancreatic Disease, Hangzhou, Zhejiang, China
| | - Jinlong Tang
- Department of Pathology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Juehua Xu
- Department of Hepatobiliary and Pancreatic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Key Laboratory of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Tumor of Zhejiang Province, Hangzhou, Zhejiang, China
- Research Center of Diagnosis and Treatment Technology for Hepatocellular Carcinoma of Zhejiang Province, Hangzhou, Zhejiang, China
- National Innovation Center for Fundamental Research on Cancer Medicine, Hangzhou, Zhejiang, China
- Cancer Center, Zhejiang University, Hangzhou, Zhejiang, China
- Zhejiang University (ZJU)-Pujian Research & Development Center of Medical Artificial Intelligence for Hepatobiliary and Pancreatic Disease, Hangzhou, Zhejiang, China
| | - Binglin Ye
- Department of Hepatobiliary and Pancreatic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Key Laboratory of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Tumor of Zhejiang Province, Hangzhou, Zhejiang, China
- Research Center of Diagnosis and Treatment Technology for Hepatocellular Carcinoma of Zhejiang Province, Hangzhou, Zhejiang, China
- National Innovation Center for Fundamental Research on Cancer Medicine, Hangzhou, Zhejiang, China
- Cancer Center, Zhejiang University, Hangzhou, Zhejiang, China
- Zhejiang University (ZJU)-Pujian Research & Development Center of Medical Artificial Intelligence for Hepatobiliary and Pancreatic Disease, Hangzhou, Zhejiang, China
| | - Tengfei Li
- Department of Hepatobiliary and Pancreatic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Key Laboratory of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Tumor of Zhejiang Province, Hangzhou, Zhejiang, China
- Research Center of Diagnosis and Treatment Technology for Hepatocellular Carcinoma of Zhejiang Province, Hangzhou, Zhejiang, China
- National Innovation Center for Fundamental Research on Cancer Medicine, Hangzhou, Zhejiang, China
- Cancer Center, Zhejiang University, Hangzhou, Zhejiang, China
- Zhejiang University (ZJU)-Pujian Research & Development Center of Medical Artificial Intelligence for Hepatobiliary and Pancreatic Disease, Hangzhou, Zhejiang, China
| | - Yixin Zhang
- Department of Hepatobiliary and Pancreatic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Key Laboratory of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Tumor of Zhejiang Province, Hangzhou, Zhejiang, China
- Research Center of Diagnosis and Treatment Technology for Hepatocellular Carcinoma of Zhejiang Province, Hangzhou, Zhejiang, China
- National Innovation Center for Fundamental Research on Cancer Medicine, Hangzhou, Zhejiang, China
- Cancer Center, Zhejiang University, Hangzhou, Zhejiang, China
- Zhejiang University (ZJU)-Pujian Research & Development Center of Medical Artificial Intelligence for Hepatobiliary and Pancreatic Disease, Hangzhou, Zhejiang, China
| | - Kai Chen
- Department of Hepatobiliary and Pancreatic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Key Laboratory of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Tumor of Zhejiang Province, Hangzhou, Zhejiang, China
- Research Center of Diagnosis and Treatment Technology for Hepatocellular Carcinoma of Zhejiang Province, Hangzhou, Zhejiang, China
- National Innovation Center for Fundamental Research on Cancer Medicine, Hangzhou, Zhejiang, China
- Cancer Center, Zhejiang University, Hangzhou, Zhejiang, China
- Zhejiang University (ZJU)-Pujian Research & Development Center of Medical Artificial Intelligence for Hepatobiliary and Pancreatic Disease, Hangzhou, Zhejiang, China
| | - Yuan Ding
- Department of Hepatobiliary and Pancreatic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Key Laboratory of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Tumor of Zhejiang Province, Hangzhou, Zhejiang, China
- Research Center of Diagnosis and Treatment Technology for Hepatocellular Carcinoma of Zhejiang Province, Hangzhou, Zhejiang, China
- National Innovation Center for Fundamental Research on Cancer Medicine, Hangzhou, Zhejiang, China
- Cancer Center, Zhejiang University, Hangzhou, Zhejiang, China
- Zhejiang University (ZJU)-Pujian Research & Development Center of Medical Artificial Intelligence for Hepatobiliary and Pancreatic Disease, Hangzhou, Zhejiang, China
- *Correspondence: Weilin Wang, ; Yuan Ding,
| | - Weilin Wang
- Department of Hepatobiliary and Pancreatic Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Key Laboratory of Precision Diagnosis and Treatment for Hepatobiliary and Pancreatic Tumor of Zhejiang Province, Hangzhou, Zhejiang, China
- Research Center of Diagnosis and Treatment Technology for Hepatocellular Carcinoma of Zhejiang Province, Hangzhou, Zhejiang, China
- National Innovation Center for Fundamental Research on Cancer Medicine, Hangzhou, Zhejiang, China
- Cancer Center, Zhejiang University, Hangzhou, Zhejiang, China
- Zhejiang University (ZJU)-Pujian Research & Development Center of Medical Artificial Intelligence for Hepatobiliary and Pancreatic Disease, Hangzhou, Zhejiang, China
- *Correspondence: Weilin Wang, ; Yuan Ding,
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Song J, Di Y, Kang X, Ren G, Wang Y. Development and validation of a nomogram to predict cancer-specific survival with unresected cholangiocarcinoma undergoing external radiotherapy. Front Public Health 2023; 11:1012069. [PMID: 36817916 PMCID: PMC9932201 DOI: 10.3389/fpubh.2023.1012069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Accepted: 01/11/2023] [Indexed: 02/05/2023] Open
Abstract
Objective To analyze the prognostic factors of patients with cholangiocarcinoma (CCA) who were unresected and received radiotherapy to establish a nomogram model for the prediction of patient cancer-specific survival (CSS). Methods Suitable patient cases were selected from the Surveillance, Epidemiology, and End Results (SEER) database, survival rates were calculated using the Kaplan-Meier method, prognostic factors were analyzed by Lasso, Cox regression, and nomogram was developed based on independent prognostic factors to predict 6 and 12 months CSS. The consistency index (C-index), calibration curve, and decision curve analysis (DCA) were tested for the predictive efficacy of the model, respectively. Results The primary site, tumor size, T-stage, M-stage, and chemotherapy (P < 0.05) were identified as independent risk factors after Cox and Lasso regression analysis. Patients in training cohort had a 6 months CSS rates was 68.6 ± 2.6%, a 12-month CSS rates was 49.0 ± 2.8%. The median CSS time of 12.00 months (95% CI: 10.17-13.83 months). The C-index was 0.664 ± 0.039 for the training cohort and 0.645 ± 0.042 for the validation cohort. The nomogram predicted CSS and demonstrated satisfactory and consistent predictive performance in 6 (73.4 vs. 64.9%) and 12 months (72.2 vs. 64.9%), respectively. The external validation calibration plot is shown AUC for 6- and 12-month compared with AJCC stage was (71.2 vs. 63.0%) and (65.9 vs. 59.8%). Meanwhile, the calibration plot of the nomogram for the probability of CSS at 6 and 12 months indicates that the actual and nomogram predict that the CSS remains largely consistent. DCA showed that using a nomogram to predict CSS results in better clinical decisions compared to the AJCC staging system. Conclusion A nomogram model based on clinical prognostic characteristics can be used to provide CSS prediction reference for patients with CCA who have not undergone surgery but have received radiotherapy.
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Affiliation(s)
- Jiazhao Song
- Department of Radiotherapy, Air Force Medical Center, PLA, Beijing, China,Graduate School, Hebei North University, Zhangjiakou, Hebei, China
| | - Yupeng Di
- Department of Radiotherapy, Air Force Medical Center, PLA, Beijing, China
| | - Xiaoli Kang
- Department of Radiotherapy, Air Force Medical Center, PLA, Beijing, China
| | - Gang Ren
- Department of Radiotherapy, Air Force Medical Center, PLA, Beijing, China,Department of Radiotherapy, Peking University Shougang Hospital, Beijing, China
| | - Yingjie Wang
- Department of Radiotherapy, Air Force Medical Center, PLA, Beijing, China,*Correspondence: Yingjie Wang ✉
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Zhao F, Yang D, He J, Ju X, Ding Y, Li X. Establishment and validation of a prognostic nomogram for extrahepatic cholangiocarcinoma. Front Oncol 2022; 12:1007538. [PMID: 36505787 PMCID: PMC9730808 DOI: 10.3389/fonc.2022.1007538] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Accepted: 11/07/2022] [Indexed: 11/25/2022] Open
Abstract
Simple summary Accurately estimate the prognosis of patients with ECCA is important. However, the TNM system has some limitations, such as low accuracy, exclusion of other factors (e.g., age and sex), and poor performance in predicting individual survival risk. In contrast, a nomogram-based clinical model related to a comprehensive analysis of all risk factors is intuitive and straightforward, facilitating the probabilistic analysis of tumor-related risk factors. Simultaneously, a nomogram can also effectively drive personalized medicine and facilitate clinicians for prognosis prediction. Therefore, we construct a novel practical nomogram and risk stratification system to predict CSS in patients with ECCA. Background Accurately estimate the prognosis of patients with extrahepatic cholangiocarcinoma (ECCA) was important, but the existing staging system has limitations. The present study aimed to construct a novel practical nomogram and risk stratification system to predict cancer-specific survival (CSS) in ECCA patients. Methods 3415 patients diagnosed with ECCA between 2010 and 2015 were selected from the SEER database and randomized into a training cohort and a validation cohort at 7:3. The nomogram was identified and calibrated using the C-index, receiver operating characteristic curve (ROC), and calibration plots. Decision curve analysis (DCA), net reclassification index (NRI), integrated discrimination improvement (IDI) and the risk stratification were used to compare the nomogram with the AJCC staging system. Results Nine variables were selected to establish the nomogram. The C-index (training cohort:0.785; validation cohort:0.776) and time-dependent AUC (>0.7) showed satisfactory discrimination. The calibration plots also revealed that the nomogram was consistent with the actual observations. The NRI (training cohort: 1-, 2-, and 3-year CSS:0.27, 0.27,0.52; validation cohort:1-,2-,3-year CSS:0.48,0.13,0.34), IDI (training cohort: 1-, 2-, 3-year CSS:0.22,0.18,0.16; validation cohort: 1-,2-,3-year CSS:0.18,0.16,0.17), and DCA indicated that the established nomogram significantly outperformed the AJCC staging system (P<0.05) and had better recognition compared to the AJCC staging system. Conclusions We developed a practical prognostic nomogram to help clinicians assess the prognosis of patients with ECCA.
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Affiliation(s)
- Fangrui Zhao
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Dashuai Yang
- Department of Hepatobiliary Surgery, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Jiahui He
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Xianli Ju
- Department of Pathology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China
| | - Youming Ding
- Department of Hepatobiliary Surgery, Renmin Hospital of Wuhan University, Wuhan, Hubei, China,*Correspondence: Youming Ding, ; Xiangpan Li,
| | - Xiangpan Li
- Department of Oncology, Renmin Hospital of Wuhan University, Wuhan, Hubei, China,*Correspondence: Youming Ding, ; Xiangpan Li,
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7
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Bile detection of squamous cell carcinoma antigen (SCCA) in extrahepatic cholangiocarcinoma. Dig Liver Dis 2022; 55:534-540. [PMID: 36369195 DOI: 10.1016/j.dld.2022.10.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2022] [Revised: 10/08/2022] [Accepted: 10/13/2022] [Indexed: 11/10/2022]
Abstract
BACKGROUND Cholangiocarcinoma (CCA) is a rare biliary tract tumor with poor prognosis that often is challenging to diagnose and the majority of patients present with advanced stage. Squamous cell carcinoma antigen 1 (SCCA1) overexpression has been found in different tumors associated with poor prognosis and chemoresistance. AIMS To assess the presence and possible prognostic role of SCCA1/2 isoforms in bile and serum of patients with CCA. METHODS Forty seven surgical patients (36 with CCA and 11 with benign diseases) were prospectively included in the study. Serum and bile specimens were collected at the time of surgery and free and IgM-complexed SCCA was quantified by ELISA (Xeptagen, srl). RESULTS Free or IgM linked SCCA was rarely found in serum, while SCCA was detectable in bile samples of patients with CCA, especially in those with extrahepatic form (43% vs 17%, p = 0.008), but not in controls. Despite similar tumor stage, these positive patients presented a trend toward a higher percentage of portal invasion (27% vs 15%) and of tumor recurrence than negative cases (62% vs 40%), although the difference was not statistically significant. CONCLUSION These preliminary results indicate that bile testing for SCCA is a specific marker of extrahepatic CCA, with potential prognostic value.
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8
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Toyoda J, Sahara K, Maithel SK, Abbott DE, Poultsides GA, Wolfgang C, Fields RC, He J, Scoggins C, Idrees K, Shen P, Endo I, Pawlik TM. Prognostic Utility of Systemic Immune-Inflammation Index After Resection of Extrahepatic Cholangiocarcinoma: Results from the U.S. Extrahepatic Biliary Malignancy Consortium. Ann Surg Oncol 2022; 29:7605-7614. [PMID: 35768667 DOI: 10.1245/s10434-022-12058-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Accepted: 06/05/2022] [Indexed: 12/18/2022]
Abstract
BACKGROUND We sought to define the association of the systemic immune inflammation index (SII) with prognosis and adjuvant therapy benefit among patients undergoing resection of extrahepatic cholangiocarcinoma (eCCA). METHODS The impact of SII on overall (OS) and recurrence-free survival (RFS) following resection of eCCA was assessed and compared with other inflammatory markers and traditional prognostic factors. Propensity score matching (PSM) was used to determine the impact of adjuvant therapy (AT) on OS and RFS relative to low versus high SII. RESULTS Patients with high versus low SII had worse 5-year OS (15.9% vs. 27.9%) and RFS (12.4% vs. 20.9%) (both p < 0.01). On multivariate analysis, high SII remained associated with worse OS (HR = 1.50, 95% CI 1.20-1.87) and RFS (HR = 1.46, 95% CI 1.18-1.81). Patients with T1/2 disease and a high-SII had worse 5-year OS versus individuals with T3/4 disease and low-SII (5-year OS: T1/2 & low-SII 35.6%, T1/2 & high-SII 16.4%, T3/4 & low-SII 22.1%, T3/4 & high-SII 15.6%, p < 0.01). Similarly, 5-year OS was comparable among individuals with N0 and high-SII versus N1 and low-SII (5-year OS: N0 & high-SII 23.2%, N1 and low-SII 19.8%, p = 0.95). On PSM, AT improved OS and RFS among patients with high SII (5-year OS: 22.5% vs. 12.3%, p < 0.01, 5-year RFS: 19.0% vs. 12.5%; p = 0.01) but not individuals with low SII (5-year OS: 22.9% vs. 26.9%; p = 0.98, 5-year RFS: 18.5% vs. 19.9%; p = 0.94). CONCLUSIONS SII was independently associated with postoperative OS and RFS following curative-intent resection of eCCA. High SII up-staged patients relative T- and N-categories and identified patients with high SII as the most likely to benefit from AT.
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Affiliation(s)
- Junya Toyoda
- Department of Gastroenterological Surgery, Yokohama City University School of Medicine, Yokohama, Japan
| | - Kota Sahara
- Department of Gastroenterological Surgery, Yokohama City University School of Medicine, Yokohama, Japan.,Department of Surgery, The Ohio State University Wexner Medical Center, James Comprehensive Cancer Center, Columbus, OH, USA
| | - Shishir K Maithel
- Division of Surgical Oncology, Department of Surgery, Winship Cancer Institute, Emory University, Atlanta, GA, USA
| | - Daniel E Abbott
- Department of Surgery, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
| | - George A Poultsides
- Department of Surgery, Stanford University Medical Center, Stanford, CA, USA
| | | | - Ryan C Fields
- Department of Surgery, Washington University School of Medicine, St Louis, MO, USA
| | - Jin He
- Department of Surgery, Johns Hopkins Hospital, Baltimore, MD, USA
| | - Charles Scoggins
- Division of Surgical Oncology, Department of Surgery, University of Louisville, Louisville, KY, USA
| | - Kamran Idrees
- Division of Surgical Oncology, Department of Surgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Perry Shen
- Department of Surgery, Wake Forest University, Winston-Salem, NC, USA
| | - Itaru Endo
- Department of Gastroenterological Surgery, Yokohama City University School of Medicine, Yokohama, Japan
| | - Timothy M Pawlik
- Department of Surgery, The Ohio State University Wexner Medical Center, James Comprehensive Cancer Center, Columbus, OH, USA.
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9
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Jung K, Park J, Jung JH, Lee JC, Kim J, Hwang JH. Real-World Outcomes of Gemcitabine, Cisplatin, and Nab-Paclitaxel Chemotherapy Regimen for Advanced Biliary Tract Cancer: A Propensity Score-Matched Analysis. Gut Liver 2022; 16:798-805. [PMID: 35000934 PMCID: PMC9474496 DOI: 10.5009/gnl210346] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Revised: 09/30/2021] [Accepted: 10/29/2021] [Indexed: 11/18/2022] Open
Abstract
Background/Aims Advanced biliary tract cancer (BTC) is associated with poor survival. A recent phase II study of triplet combination chemotherapy, including gemcitabine, cisplatin, and nanoparticle albumin-bound (nab)-paclitaxel, has shown promising results. This study aimed to compare the efficacy of triplet and standard doublet chemotherapy in a real-world setting. Methods Patients with advanced BTC treated with triplet and doublet chemotherapy regimens were recruited. The propensity-score nearest neighbor matching method with a ratio of one-to-one was used to create a matched cohort for comparison. Progression-free survival (PFS), overall survival (OS), and safety profiles were examined in both groups. Results A total of 68 patients (n=34 per group) were included in the matched cohort, and their baseline characteristics were well balanced. Survival outcomes in the triplet chemotherapy group were not better than those in the doublet chemotherapy group, with a median PFS of 7.5 months (95% confidence interval [CI], 4.1 to 10.9) versus 7.2 months (95% CI, 5.6 to 8.9) (hazard ratio [HR], 0.93; 95% CI, 0.53 to 1.62; p=0.793) and a median OS of 13.7 months (95% CI, 8.8 to 18.7) versus 12.2 months (95% CI, 8.4 to 16.0) (HR 0.73; 95% CI, 0.38 to 1.41; p=0.354), respectively. In addition, the treatment-related severe adverse events, such as neutropenia, were more common in the triplet chemotherapy group. Conclusions Gemcitabine, cisplatin, and nab-paclitaxel did not improve the PFS or OS compared to that achieved by standard chemotherapy in patients with advanced BTC. The benefits of triplet chemotherapy in advanced BTC require examination in large randomized controlled trials. Key Words Biliary tract cancer; Gemcitabine; Cisplatin; Albumin-bound paclitaxel
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Affiliation(s)
- Kwangrok Jung
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Jaewoo Park
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Jae Hyup Jung
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Jong-Chan Lee
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Jaihwan Kim
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Jin-Hyeok Hwang
- Department of Internal Medicine, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
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10
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Xu S, Zhang XP, Zhao GD, Zhao ZM, Gao YX, Hu MG, Tan XL, Liu R. Development and validation of an online calculator to predict early recurrence and long-term survival in patients with distal cholangiocarcinoma after pancreaticoduodenectomy. JOURNAL OF HEPATO-BILIARY-PANCREATIC SCIENCES 2021; 29:1214-1225. [PMID: 34676993 DOI: 10.1002/jhbp.1058] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/21/2021] [Revised: 08/28/2021] [Accepted: 09/13/2021] [Indexed: 01/04/2023]
Abstract
BACKGROUND Distal cholangiocarcinoma (DCC) is a malignancy associated with a short survival time. In this study, we aimed to create an online nomogram calculator to predict early recurrence and long-term survival in patients with DCC after pancreaticoduodenectomy. METHODS A total of 486 patients with DCC were included. An online nomogram calculator was developed and validated in training, internal validation and external validation cohorts, respectively. RESULTS Of the 486 patients who met the inclusion criteria, we allocated 240, 120, and 126 patients to the training, internal validation, and external validation cohorts, respectively. Multivariable analysis showed that preoperative CA19-9, maximum tumor diameter, perineural invasion, and tumor differentiation were significant risk factors for early recurrence in patients with DCC. Incorporating these four factors, the nomogram achieved good AUC values of 0.788, 0.771, and 0.723 for predicting early recurrence in the training, internal validation, and external validation cohorts, respectively. Notably, this nomogram also had good power to predict overall survival. The discrimination ability of the nomogram was evaluated by dividing the predicted probabilities of early recurrence and survival into two risk groups in the training cohort (low risk ≤ 132; high risk > 132; P < .001). Time-dependent ROC and decision curve analysis further revealed that the nomogram provided higher diagnostic capacity and superior net benefit compared to other staging systems. CONCLUSION This study developed and validated a web-based nomogram calculator that was capable of predicting early recurrence and long-term prognosis in patients with DCC after pancreaticoduodenectomy with high degrees of stability and accuracy.
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Affiliation(s)
- Shuai Xu
- School of Medicine, Nankai University, Tianjin, China.,Faculty of Hepato-Biliary-Pancreatic Surgery, The First Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Beijing, China
| | - Xiu-Ping Zhang
- Faculty of Hepato-Biliary-Pancreatic Surgery, The First Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Beijing, China
| | - Guo-Dong Zhao
- Faculty of Hepato-Biliary-Pancreatic Surgery, The First Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Beijing, China
| | - Zhi-Ming Zhao
- Faculty of Hepato-Biliary-Pancreatic Surgery, The First Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Beijing, China
| | - Yuan-Xing Gao
- Faculty of Hepato-Biliary-Pancreatic Surgery, The First Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Beijing, China
| | - Ming-Gen Hu
- Faculty of Hepato-Biliary-Pancreatic Surgery, The First Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Beijing, China
| | - Xiang-Long Tan
- Faculty of Hepato-Biliary-Pancreatic Surgery, The First Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Beijing, China
| | - Rong Liu
- School of Medicine, Nankai University, Tianjin, China.,Faculty of Hepato-Biliary-Pancreatic Surgery, The First Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Beijing, China
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11
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Xu S, Zhang XP, Zhao GD, Zou WB, Zhao ZM, Hu MG, Gao YX, Tan XL, Liu Q, Liu R. A novel online calculator to predict recurrence risk in patients with distal cholangiocarcinoma after radical pancreaticoduodenectomy. J Surg Oncol 2021; 125:377-386. [PMID: 34617593 DOI: 10.1002/jso.26709] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Revised: 09/03/2021] [Accepted: 09/26/2021] [Indexed: 02/06/2023]
Abstract
BACKGROUND Patients with distal cholangiocarcinoma (DCC) are prone to relapse even after radical pancreaticoduodenectomy. In this study, we sought to create an online nomogram calculator to accurately predict the recurrence risk of DCC. METHODS A total of 184 patients were included. Multivariate Cox regression analysis was used to identify independent prognosis factors for recurrence-free survival and overall survival. A nomogram was constructed according to the prognostic factors in the training cohort and then tested in the validation cohort. RESULTS Multivariate Cox analysis showed preoperative carbohydrate antigen 19-9 (p < 0.001), maximum tumor size (p = 0.076), perineural invasion (p = 0.044), and N stage (p = 0.076) were independent prognostic factors for DCC relapse. We then constructed a nomogram with these four factors. The consistency index (C-index) of the nomogram in the training and validation cohorts were 0.703 and 0.665, respectively. Time-dependent receiver operating characteristic and decision curve analyses revealed that the nomogram provided higher diagnostic power and net benefit compared with other staging systems. CONCLUSION In this study, we developed an online nomogram calculator that can accurately predict the recurrence risk of DCC and identify patients with a high risk of recurrence in a simple and convenient manner.
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Affiliation(s)
- Shuai Xu
- School of Medicine, Nankai University, Tianjin, China.,Faculty of Hepato-Biliary-Pancreatic Surgery, The First Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Beijing, China
| | - Xiu-Ping Zhang
- Faculty of Hepato-Biliary-Pancreatic Surgery, The First Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Beijing, China
| | - Guo-Dong Zhao
- Faculty of Hepato-Biliary-Pancreatic Surgery, The First Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Beijing, China
| | - Wen-Bo Zou
- Faculty of Hepato-Biliary-Pancreatic Surgery, The First Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Beijing, China
| | - Zhi-Ming Zhao
- Faculty of Hepato-Biliary-Pancreatic Surgery, The First Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Beijing, China
| | - Ming-Gen Hu
- Faculty of Hepato-Biliary-Pancreatic Surgery, The First Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Beijing, China
| | - Yuan-Xing Gao
- Faculty of Hepato-Biliary-Pancreatic Surgery, The First Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Beijing, China
| | - Xiang-Long Tan
- Faculty of Hepato-Biliary-Pancreatic Surgery, The First Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Beijing, China
| | - Qu Liu
- Faculty of Hepato-Biliary-Pancreatic Surgery, The First Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Beijing, China
| | - Rong Liu
- School of Medicine, Nankai University, Tianjin, China.,Faculty of Hepato-Biliary-Pancreatic Surgery, The First Medical Center of Chinese People's Liberation Army (PLA) General Hospital, Beijing, China
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12
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Jiang T, Lyu SC, Zhou L, Wang J, Li H, He Q, Lang R. Carbohydrate antigen 19-9 as a novel prognostic biomarker in distal cholangiocarcinoma. World J Gastrointest Surg 2021; 13:1025-1038. [PMID: 34621478 PMCID: PMC8462080 DOI: 10.4240/wjgs.v13.i9.1025] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2021] [Revised: 06/18/2021] [Accepted: 08/19/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Distal cholangiocarcinoma (DCC) presents as one of the relatively rare malignant tumors in the digestive system and has a poor long-term prognosis. Curative resection is currently the most appropriate therapy for patients with DCC because of the lack of effective adjuvant therapies. Therefore, it is important to accurately predict the prognosis for formulating a reasonable treatment plan and avoiding unnecessary surgical trauma.
AIM To minimize the interference of obstructive jaundice on carbohydrate antigen 19-9 (CA19-9) level by adapting CA19-9 to γ-glutamyltransferase (GGT) as an indicator, to determine the strong associations between CA19-9/GGT and postoperative neoplasm recurrence and long-term outcome of DCC.
METHODS We enrolled 186 patients who were diagnosed with DCC between January 2010 and December 2019 and performed radical excision with strict criteria as follows in our hospital. Receiver operating characteristic curves were drawn according to preoperative CA19-9/GGT and 1-year survival. Based on this, patients were divided into two groups (group 1, low-ratio, n = 81; group 2, high-ratio, n = 105). Afterwards, by the way of univariate and multivariate analysis, the risk factors influencing postoperative tumor recrudesce and long-term prognosis of patients with DCC were screened out.
RESULTS Optimum cut-off value of CA19-9/GGT was 0.12. Patients in group 2 represented higher CA19-9 and lymphatic metastasis rate accompanied by lower GGT, when compared with group 1 (P < 0.05). The 1-, 3- and 5-year overall survival rates of patients in groups 1 and 2 were 88.3%, 59.2% and 48.1%, and 61.0%, 13.6% and 13.6%, respectively (P = 0.000). Multivariate analysis indicated that CA19-9/GGT, lymphatic metastasis and tumor differentiation were independent risk factors for tumor recurrence and long-term prognosis of DCC.
CONCLUSION Elevation of CA19-9/GGT performed better as a biomarker of aggressive carcinoma and predictor of poor clinical outcomes by reducing the effect of obstruction of biliary tract on CA19-9 concentration in patients with DCC.
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Affiliation(s)
- Tao Jiang
- Department of Hepatobiliary Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China
| | - Shao-Cheng Lyu
- Department of Hepatobiliary Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China
| | - Lin Zhou
- Department of Hepatobiliary Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China
| | - Jing Wang
- Department of Hepatobiliary Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China
| | - Han Li
- Department of Hepatobiliary Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China
| | - Qiang He
- Department of Hepatobiliary Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China
| | - Ren Lang
- Department of Hepatobiliary Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, China
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13
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Zhang F, Hu K, Tang B, Tian M, Lu S, Yuan J, Li M, Chen R, Ren Z, Shi Y, Yin X. A New Scoring Method for Personalized Prognostic Prediction in Patients with Combined Hepatocellular and Cholangiocarcinoma After Surgery. J Gastrointest Surg 2021; 25:971-982. [PMID: 32350718 DOI: 10.1007/s11605-020-04618-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2020] [Accepted: 04/16/2020] [Indexed: 01/31/2023]
Abstract
BACKGROUND AND AIM Combined hepatocellular and cholangiocarcinoma (cHCC-CCA) is a rare but aggressive primary liver cancer with dismal prognosis. We aim to develop a new scoring method for personalized prognostic prediction in patients with cHCC-CCA undergoing surgical resection. METHODS Between January 1993 and December 2015, a total of 296 Allen type C cHCC-CCA patients who had received surgical resection in Liver Cancer Institute, Zhongshan Hospital were retrospectively enrolled. A novel prognostic scoring method for cHCC-CCA (PSM-CHCC model) was established and validated. The predictive value of the new model was compared with current prognostic staging systems. RESULTS The scoring model was developed based on the independent prognostic variables identified by Cox regression model. Based on the PSM-CHCC model, patients were stratified into three prognostic subgroups according to their individual score: A (scoring 0-2), B (scoring 3-5), and C (scoring > 5). The prediction performance of the PSM-CHCC model outperformed the widely accepted TNM staging system and other staging systems in both training and validation cohorts. Subgroup analysis also verified the discrimination efficacy of the PSM-CHCC model. CONCLUSIONS The newly established PSM-CHCC model may facilitate prognostic stratification and clinical decision-making in patients with cHCC-CCA.
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Affiliation(s)
- Feng Zhang
- Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 136 Yi Xue Yuan Road, Shanghai, 200032, China
| | - Keshu Hu
- Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 136 Yi Xue Yuan Road, Shanghai, 200032, China
| | - Bei Tang
- Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 136 Yi Xue Yuan Road, Shanghai, 200032, China
| | - Mengxin Tian
- Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 136 Yi Xue Yuan Road, Shanghai, 200032, China
| | - Shenxin Lu
- Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 136 Yi Xue Yuan Road, Shanghai, 200032, China
| | - Jia Yuan
- Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 136 Yi Xue Yuan Road, Shanghai, 200032, China
| | - Miao Li
- Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 136 Yi Xue Yuan Road, Shanghai, 200032, China
| | - Rongxin Chen
- Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 136 Yi Xue Yuan Road, Shanghai, 200032, China
| | - Zhenggang Ren
- Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 136 Yi Xue Yuan Road, Shanghai, 200032, China
| | - Yinghong Shi
- Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 136 Yi Xue Yuan Road, Shanghai, 200032, China
| | - Xin Yin
- Key Laboratory of Carcinogenesis and Cancer Invasion, Ministry of Education, Liver Cancer Institute, Zhongshan Hospital, Fudan University, 136 Yi Xue Yuan Road, Shanghai, 200032, China.
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14
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The Prognostic Value of the CA19-9/TBIL Ratio in Patients with Biliary Tract Cancers (BTCs): A Retrospective Study. JOURNAL OF ONCOLOGY 2021; 2021:5829893. [PMID: 33688345 PMCID: PMC7925024 DOI: 10.1155/2021/5829893] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Revised: 02/07/2021] [Accepted: 02/13/2021] [Indexed: 11/18/2022]
Abstract
Background Incidence of biliary tract cancers (BTCs) in China is high, and surgery is the only curative option. Preoperative CA19-9 has been identified as a predictor for survival in patients with resectable BTCs, but more potential predictors need to be studied. This retrospective study aimed to establish the prognostic significance of CA19-9/TBIL ratio (CTR) in patients with BTCs. Methods A retrospective analysis was performed in patients who were diagnosed with BTCs and received surgical resection between 2013 and 2018 at PUMCH. Demographic and clinical parameters were collected. Preoperative CA19-9 and CTR were classified as elevated (>58.6 and >0.83) according to the receiver operating characteristic (ROC) analysis. Demographic and clinical parameters were compared between the groups using Student's t-test, chi-square, or Fisher's exact test. Survival analysis was performed by the Kaplan-Meier methods, and the relationship between variables and survival was assessed by the log-rank test. Cox regression analysis was conducted to identify potential risk factors for overall survival. Results In total, 109 participants were involved in the final analysis. The overall survival rate was 18.0% at 5 years, with a median survival duration of 1.58 years. The Kaplan-Meier analysis indicated that higher CTR was associated with shorter OS (15 vs. 50, p < 0.01). Univariate survival analysis identified TNM staging, CA19-9, and CTR as statistically significant prognostic factors. In a multiple Cox analysis, only CTR was proved as a significantly independent prognostic factor. Conclusion CTR acts as an independent prognostic predictor for patients with biliary tract cancer.
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15
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Lyu S, Li L, Zhao X, Ren Z, Cao D, He Q. Prognostic impact of lymph node parameters in distal cholangiocarcinoma after pancreaticoduodenectomy. World J Surg Oncol 2020; 18:262. [PMID: 33032609 PMCID: PMC7545845 DOI: 10.1186/s12957-020-02040-1] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Accepted: 09/29/2020] [Indexed: 12/16/2022] Open
Abstract
Background Pancreaticoduodenectomy is the only definitively curative therapy for the long-term survival of distal cholangiocarcinoma patients. Lymph node metastasis is widely accepted as an important prognostic factor for distal cholangiocarcinoma. The latest American Joint Committee on Cancer (AJCC) TNM classification system for distal cholangiocarcinoma has divided the lymph node metastasis patients into N1 and N2 by lymph node metastasis number. However, some studies suggested that the lymph node metastasis ratio may be better than the lymph node metastasis number. Therefore, we develop a program to analyze the correlation between lymph node parameters (lymph node dissection number, lymph node metastasis number, and lymph node metastasis rate) and long-term prognosis. Methods We retrospectively reviewed 123 distal cholangiocarcinoma patients after pancreatoduodenectomy from January 2011 to December 2019. The patients were grouped according to lymph node metastases and tumor-free and overall survival rates which were investigated with the Kaplan-Meier analysis. The logistic regression models were used for multivariate analysis to determine the risk factors for lymph node metastases. And the X-tile program was used to calculate the cutoff values for the lymph node parameters that discriminated survival. Results The 1-year, 3-year, and 5-year overall survival rates of patients with distal cholangiocarcinoma after pancreatoduodenectomy were 75.2%, 37.1%, and 31.5%, respectively. And the 1-year, 3-year, and 5-year overall survival rates of patients without and with lymph node metastasis were 83.0%, 50.7%, and 42.5% and 63.5%, 19.0%, and 19.0% (p = 0.000), respectively. Logistic regression showed CA19-9 and portal vein system invasion as independent risk factors for lymph node metastases. The receiver operating characteristic curve showed the optimal cutoff value of CA19-9 to predict the lymph node metastases was 75.5 U/mL. Determined by the X-tile software, the optimal cutoff values of the lymph node dissection number were 24 (p = 0.021), the lymph node metastasis number were 1 and 7 (p = 0.504), and the lymph node metastasis rate were 0.13 (p = 0.002). Conclusion Lymph node metastasis is an important factor affecting the long-term survival of distal cholangiocarcinoma patients.CA19-9 and portal vein system invasion are independent risk factors for lymph node metastasis. Besides, the lymph node dissection number and lymph node metastasis rate can predict the long-term survival better than lymph node metastasis number.
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Affiliation(s)
- Shaocheng Lyu
- Department of Hepatobiliary Surgery, Beijing Chaoyang Hospital, Capital Medical University, 8 Gongtinan Road, Chaoyang District, Beijing, 100020, China
| | - Lixin Li
- Department of Hepatobiliary Surgery, Beijing Chaoyang Hospital, Capital Medical University, 8 Gongtinan Road, Chaoyang District, Beijing, 100020, China
| | - Xin Zhao
- Department of Hepatobiliary Surgery, Beijing Chaoyang Hospital, Capital Medical University, 8 Gongtinan Road, Chaoyang District, Beijing, 100020, China
| | - Zhangyong Ren
- Department of Hepatobiliary Surgery, Beijing Chaoyang Hospital, Capital Medical University, 8 Gongtinan Road, Chaoyang District, Beijing, 100020, China
| | - Di Cao
- Department of Hepatobiliary Surgery, Beijing Chaoyang Hospital, Capital Medical University, 8 Gongtinan Road, Chaoyang District, Beijing, 100020, China
| | - Qiang He
- Department of Hepatobiliary Surgery, Beijing Chaoyang Hospital, Capital Medical University, 8 Gongtinan Road, Chaoyang District, Beijing, 100020, China.
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