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Prognostic Factors and Scoring Model for Survival in Metastatic Biliary Tract Cancer

Authors
 Park, Hyung Soon  ;  Park, Ji Soo  ;  Chun, You Jin  ;  Roh, Yun Ho  ;  Moon, Jieun  ;  Chon, Hong Jae  ;  Choi, Hye Jin  ;  Park, Joon Seong  ;  Lee, Dong Ki  ;  Lee, Se-Joon  ;  Yoon, Dong Sup  ;  Jeung, Hei-Cheul 
Citation
 CANCER RESEARCH AND TREATMENT, Vol.49(4) : 1127-1139, 2017-10 
Journal Title
CANCER RESEARCH AND TREATMENT
ISSN
 1598-2998 
Issue Date
2017-10
Keywords
Biliary tract neoplasms ; Prognosis ; Scoring model ; Survival ; Validation ; Drug therapy
Abstract
Purpose Metastatic biliary tract cancer (mBTC) has a dismal prognosis. In this study, an independent dataset of patients with mBTC was used to implement and validate a routine clinico-laboratory parameter-based scoring model for risk group identification. Materials and Methods From September 2006 to February 2015, 482 patients with mBTC were assigned randomly (ratio, 7:3) into investigational (n=340) and validation datasets (n=142). The continuous variables were dichotomized using a normal range or the best cutoff values determined using the Contal and O'Quigley statistical methods. Following a Cox's proportional hazard model, the scoring model was derived by summing the rounded chi-square scores for the factors identified by multivariate analysis. Results The performance status (Eastern Cooperative Oncology Group 3-4), hypoalbuminemia (< 3.4 mg/dL), carcinoembryonic antigen (>= 9 ng/mL), neutrophil-to-lymphocyte ratio (>= 3.0), and carbohydrate antigen 19-9 (>= 120 U/mL) were identified as independent prognosticators (Harrell's C index, 0.682; integrated area under the curve, 0.653). Survival was clearly correlated with the risk groups (low, intermediate, and high, 14.0, 7.3, and 2.3 months, respectively; p < 0.001). The prognosis was also discriminative in the validation data set (median survival, 16.7, 7.5, and 1.9 months, respectively; p < 0.001). Chemotherapy did not offer any survival benefits for high-risk patients. Conclusion These proposed prognostic criteria for mBTC can facilitate accurate patient risk stratification and treatment-related decision-making.
DOI
10.4143/crt.2016.538
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Biomedical Systems Informatics (의생명시스템정보학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Surgery (외과학교실) > 1. Journal Papers
Yonsei Authors
Roh, Yun Ho(노윤호)
Park, Joon Seong(박준성) ORCID logo https://orcid.org/0000-0001-8048-9990
Park, Ji Soo(박지수) ORCID logo https://orcid.org/0000-0002-0023-7740
Park, Hyung Soon(박형순)
Yoon, Dong Sup(윤동섭) ORCID logo https://orcid.org/0000-0001-6444-9606
Lee, Dong Ki(이동기) ORCID logo https://orcid.org/0000-0002-0048-9112
Lee, Se Joon(이세준) ORCID logo https://orcid.org/0000-0002-2695-2670
Jeung, Hei Cheul(정희철) ORCID logo https://orcid.org/0000-0003-0952-3679
Chun, You Jin(천유진)
Choi, Hye Jin(최혜진) ORCID logo https://orcid.org/0000-0001-5917-1400
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/167962
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