Maximum gastric cancer diameter as a prognostic indicator: univariate and multivariate analysis. 2003

A Giuliani, and A Caporale, and M Di Bari, and M Demoro, and P Gozzo, and M Corona, and M Miccini, and T Ricciardulli, and A Tocchi
Dept. of Surgery Pietro Valdoni, University La Sapienza, Rome, Italy. andrea.giuliani@UNIROMA1.it

It was suggested that there are no stronger prognostic factors in gastric cancer than nodal involvement or depth of wall invasion. The present paper evaluated the influence of maximum tumor diameter (MTD) value, measured on fixed resected specimens, on the extent of disease progression and the outcome in gastric cancer patients. Clinicopathological data were retrospectively retrieved from records of 122 patients who underwent curative gastrectomy. The patients' MTD values were grouped as follows: MTD1, up to 26 mm; MTD2, between 26 and 50 mm; and MTD3, over 50 mm. The three groups evidenced significant differences with regard to 5 year survival (MTD1: 54%, MTD2: 31%, MTD3: 20%; p = 0.00027), furthermore they were significantly different with respect to the type of gastrectomy (p = 0.021), depth wall invasion (p = 0.000), lymphatic microinvasion (p = 0.014), perineural microinvasion (p = 0.017), stromal reaction (p = 0.025), and stage (p = 0.035). ROC curve analysis individuated a best accurate MTD threshold value for nodal involvement of 32 mm (sensitivity = 56.6%; specificity = 60.9%; positive predictive value = 52.6%; negative predictive value = 64.6%). The logistic regression analysis suggested that the depth of wall invasion was the only independent variable associated with MTD value (p = 0.0005). Multivariate analysis showed that independent prognostic risk factors were sex (p < 0.0025), number of involved nodes (p < 0.001) and MTD (p < 0.001). In conclusion, the maximum tumor diameter value of gastric cancer may be a factor with greater prognostic implications than previously believed.

UI MeSH Term Description Entries
D008297 Male Males
D011379 Prognosis A prediction of the probable outcome of a disease based on a individual's condition and the usual course of the disease as seen in similar situations. Prognostic Factor,Prognostic Factors,Factor, Prognostic,Factors, Prognostic,Prognoses
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000368 Aged A person 65 years of age or older. For a person older than 79 years, AGED, 80 AND OVER is available. Elderly
D013274 Stomach Neoplasms Tumors or cancer of the STOMACH. Cancer of Stomach,Gastric Cancer,Gastric Neoplasms,Stomach Cancer,Cancer of the Stomach,Gastric Cancer, Familial Diffuse,Neoplasms, Gastric,Neoplasms, Stomach,Cancer, Gastric,Cancer, Stomach,Cancers, Gastric,Cancers, Stomach,Gastric Cancers,Gastric Neoplasm,Neoplasm, Gastric,Neoplasm, Stomach,Stomach Cancers,Stomach Neoplasm
D015996 Survival Rate The proportion of survivors in a group, e.g., of patients, studied and followed over a period, or the proportion of persons in a specified group alive at the beginning of a time interval who survive to the end of the interval. It is often studied using life table methods. Cumulative Survival Rate,Mean Survival Time,Cumulative Survival Rates,Mean Survival Times,Rate, Cumulative Survival,Rate, Survival,Rates, Cumulative Survival,Rates, Survival,Survival Rate, Cumulative,Survival Rates,Survival Rates, Cumulative,Survival Time, Mean,Survival Times, Mean,Time, Mean Survival,Times, Mean Survival
D015999 Multivariate Analysis A set of techniques used when variation in several variables are studied simultaneously. In statistics, multivariate analysis is interpreted as any analytic method that allows simultaneous study of two or more dependent variables. Analysis, Multivariate,Multivariate Analyses

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