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A prognostic model in patients who receive chemotherapy for metastatic or recurrent gastric cancer: validation and comparison with previous models

Authors :
Jae-Lyun Lee
Hwa Jung Kim
Tae Won Kim
Baek-Yeol Ryoo
Min-Hee Ryu
Sung-Sook Lee
Dong Hoe Koo
Jung-Hwa Moon
Heung-Moon Chang
Yoon-Koo Kang
Source :
Cancer chemotherapy and pharmacology. 68(4)
Publication Year :
2010

Abstract

To make up for the limitations of previous prognostic models, we developed and validated a model in patients with metastatic or recurrent gastric adenocarcinoma (AGC), and to compare with previous models.A total of 2,805 patients received chemotherapy for AGC in Asan Medical Center between January 2000 and December 2008 and were randomly split into training and validation sets of 1,870 and 935 patients, respectively. A prognostic model was developed from the training set.The median follow-up duration was 26.5 months (range, 10.8-116.3), during which time 2,495 patients (88.9%) died. Eight factors associated with poor prognosis were identified by multivariate analysis: ECOG performance status ≥2 (2 points), no gastrectomy, peritoneal metastasis, bone metastasis (2 points), lung metastasis, alkaline phosphatase 120 IU/l, albumin 3.3 g/dL, and total bilirubin 1.2 mg/dL. A prognostic model was developed by dividing patients into good (0-1 points), moderate (2-3), and poor (≥4) risk groups. The overall survival (OS) curves for three risk groups differed significantly for both the training and the validation sets (P 0.001 each). In the training set, the median OS for the three risk groups was 14.0, 9.4, and 5.1 months, respectively. Application of three previous prognostic models to our validation set showed that the four models, including ours, had similar ability to predict survival outcomes (c-statistics, 0.5520-0.5836).Validation and comparison of prognostic models indicated that our model was as effective as the previous models to stratify the patients with AGC.

Details

ISSN :
14320843
Volume :
68
Issue :
4
Database :
OpenAIRE
Journal :
Cancer chemotherapy and pharmacology
Accession number :
edsair.doi.dedup.....ae14d093ba02b5e9e294264fdeb14efa