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    J Clin Oncol. 2004 Jun 15;22(12):2395-403.

    Multivariate prognostic factor analysis in locally advanced and metastatic esophago-gastric cancer--pooled analysis from three multicenter, randomized, controlled trials using individual patient data.

    Source

    Department of Medicine, Royal Marsden Hospital, London, Surrey, UK.

    Abstract

    PURPOSE:

    To identify baseline prognostic factors and assess whether pretreatment quality of life (QoL) predicts survival in patients with locally advanced or metastatic esophago-gastric cancer.

    PATIENTS AND METHODS:

    Between 1992 and 2001, 1,080 patients were enrolled into three randomized, controlled trials assessing fluorouracil-based combination chemotherapy. All patients were required to complete the European Organization for Research and Treatment of Cancer core QoL questionnaire before random assignment.

    RESULTS:

    Of the 1080 patients randomly assigned, 979 (91%) died. Four independent poor prognostic factors were identified by multivariate analysis: performance status >or= 2 (hazard ratio [HR], 1.58; 99% CI, 1.25 to 1.98), liver metastases (HR, 1.41; 99%CI, 1.14 to 1.74), peritoneal metastases (HR, 1.33; 99%CI, 1.01 to 1.74) and alkaline phosphatase >or= 100 U/L (HR, 1.41; 99% CI, 1.14 to 1.76). A prognostic index was constructed dividing patients into good (no risk factor), moderate (one or two risk factors) or poor (three or four risk factors) risk groups. One-year survival for good, moderate, and poor risk groups were 48.5%, 25.7%, and 11%, respectively, and the survival differences among these groups were highly significant (P <.00001). Compared with the good risk group, the moderate risk group had nearly twice the risk of death, and the poor risk group had 3.5-fold increased risk of death. Pretreatment physical (P =.003), role functioning (P <.001), and global QoL (P <.001) predicted survival.

    CONCLUSION:

    Four poor prognostic factors were identified and a simple prognostic index was devised. Information from this analysis can be used to aid clinical decision-making, help individual patient risk stratification, and serve as benchmark for the planning for future phase III trials.

    PMID:
    15197201
    [PubMed - indexed for MEDLINE]

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