Influence of pathological tumour variables on long-term survival in resectable gastric cancer.
Although tumour stage and nodal status are established prognostic factors for resectable gastric cancer, the relative importance of other pathological characteristics remains unclear. This study reports univariate and multivariate analyses of the prognostic value of various pathological and staging factors based on 324 patients entered into the MRC randomised surgical trial for gastric cancer. In the univariate analysis tumour stage, nodal status, UICC clinical stage, number of involved nodes, WHO predominant type, mixed Lauren type, Ming type, tumour differentiation, lymphocytic and tumour stromal eosinophilic infiltration were all found to have a significant impact on survival (logrank test, 5% level). In the multivariate analysis, UICC clinical stage and eosinophilic infiltration were found to have a significant influence. Risk of death increased for UICC stage II and III patients (Hazard Ratio for stage II compared to stage I=2.0, 95% Confidence Interval (CI) 1.4-2.9; Hazard Ratio for stage III compared to stage I=3.5, 95% CI 2.5-4.8). Patients with numerous eosinophils had a lower risk of death than those with none (Hazard Ratio=0.5, 95% CI 0.3-0.8). This association between survival and eosinophilic infiltration merits further study.
Cuschieri
A
A
Department of Surgery and Molecular Oncology, Ninewells Hospital and Medical School, University of Dundee, Dundee DD1 9SY, UK. a.cuschieri@dundee.ac.uk
Talbot
I C
IC
Weeden
S
S
D000368:Aged; D014408:Biomarkers, Tumor / Q000032:analysis*; D002277:Carcinoma / Q000401:mortality / Q000473:pathology* / Q000601:surgery; D002454:Cell Differentiation; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D009361:Neoplasm Invasiveness; D009367:Neoplasm Staging / Q000379:methods*; D011379:Prognosis; D011446:Prospective Studies; D012307:Risk Factors; D013274:Stomach Neoplasms / Q000401:mortality / Q000473:pathology* / Q000601:surgery; D016019:Survival Analysis
D014408:Biomarkers, Tumor