Literature DB >> 25916086

Practical prognostic index for survival in patients with unresectable pancreatic cancer treated with gemcitabine or S-1.

Tatsuya Kurihara, Mari Kogo, Masakazu Ishii, Keiichiro Yoneyama, Katsuya Kitamura, Ken Shimada, Shunichi Shimizu, Hitoshi Yoshida, Yuji Kiuchi.   

Abstract

BACKGROUND/AIMS: We performed this retrospective cohort study to identify prognostic factors for unresectable pancreatic cancer treated with current standard therapy using gemcitabine (GEM) or S-1 and to stratify patients prior to treatment using a prognostic index (PI).
METHODOLOGY: We analyzed 182 patients with unresectable pancreatic cancer, who had received GEM or S-1 as first-line chemotherapy. Factors that contributed to the prognosis were identified by univariate and multivariate analysis using a Cox proportional hazards model. The PI was constructed using the factors identified in the multivariate analysis.
RESULTS: By multivariate analysis, performance status (PS), stage, and absolute neutrophil count (ANC) were identified as factors that independently contributed to the prognosis of unresectable pancreatic cancer (P < 0.05). The hazard ratios were 1.69, 3.33, and 1.18, respectively. In addition, PI was calculated using these three factors. Patients were classified into three groups according to the PI values. A significant difference was observed among the survival curves of these three groups (P < 0.05).
CONCLUSIONS: We identified three prognostic factors in the population after the introduction of S-1, and have created a simple and useful PI. This index demonstrates the ability to accurately classify advanced pancreatic cancer patients before the start of treatment.

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Year:  2015        PMID: 25916086

Source DB:  PubMed          Journal:  Hepatogastroenterology        ISSN: 0172-6390


  2 in total

1.  Predictive Value of the Texture Analysis of Enhanced Computed Tomographic Images for Preoperative Pancreatic Carcinoma Differentiation.

Authors:  Zhang Longlong; Li Xinxiang; Ge Yaqiong; Wei Wei
Journal:  Front Bioeng Biotechnol       Date:  2020-06-30

2.  Validation and application of a prognostic model for patients with advanced pancreatic cancer receiving palliative chemotherapy.

Authors:  Pei-Wei Huang; Ching-Fu Chang; Chia-Yen Hung; Shun-Wen Hsueh; Pei-Hung Chang; Kun-Yun Yeh; Jen-Shi Chen; Yen-Yang Chen; Chang-Hsien Lu; Yu-Shin Hung; Wen-Chi Chou
Journal:  Cancer Med       Date:  2019-08-06       Impact factor: 4.452

  2 in total

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