PURPOSE: 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. METHODS: 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. RESULTS: 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). CONCLUSION: Validation and comparison of prognostic models indicated that our model was as effective as the previous models to stratify the patients with AGC.
PURPOSE: 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. METHODS: 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. RESULTS: 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). CONCLUSION: Validation and comparison of prognostic models indicated that our model was as effective as the previous models to stratify the patients with AGC.
Authors: Q Li; H Li; H Jiang; Y Feng; Y Cui; Y Wang; Y Ji; Y Yu; W Li; C Xu; S Yu; R Zhuang; T Liu Journal: Clin Transl Oncol Date: 2017-11-22 Impact factor: 3.405
Authors: Sun Young Kim; Min Joo Yoon; Young Iee Park; Mi Jung Kim; Byung-Ho Nam; Sook Ryun Park Journal: Gastric Cancer Date: 2017-08-21 Impact factor: 7.370
Authors: Keun-Wook Lee; Ju Hyun Lee; Jin Won Kim; Ji-Won Kim; Soyeon Ahn; Jee Hyun Kim Journal: J Cancer Res Clin Oncol Date: 2015-11-13 Impact factor: 4.553