Influence of a microscopic positive proximal margin in the treatment of gastric adenocarcinoma of the cardia.
OBJECTIVE
To investigate the influence of a positive proximal margin in total gastrectomy patients with gastric adenocarcinoma of the cardia.


METHODS
Medical records of 191 patients with total gastrectomies for adenocarcinoma of the cardia between 1995 and 2000 were reviewed. The clinicopathologic features associated with a positive margin were determined, and the predictors for survival were analyzed.


RESULTS
The incidence of positive proximal margin was 8.4% (16/191). The positive margins were associated with advanced diseases. The tumor size and the depth of tumor invasion were independent risk factors for a positive margin. The mean survival in the positive margin group was 33.9 mo as compared with 62.4 mo in the negative group (P < 0.001). However, the difference in survival lost significance in subgroup analysis according to stage. Multivariate analysis identified that a positive margin was not an independent prognostic factor for survival.


CONCLUSIONS
A positive margin is more of an indication of advanced disease in patients with gastric adenocarcinoma of the cardia rather than an independent prognostic factor for survival.
Shen
Jian-Guo
JG
Department of Surgery, Yonsei University College of Medicine, Seoul, Korea.
Cheong
Jae-Ho
JH
Hyung
Woo-Jin
WJ
Kim
Junuk
J
Choi
Seung-Ho
SH
Noh
Sung-Hoon
SH
D000230:Adenocarcinoma / Q000473:pathology* / Q000601:surgery*; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D002299:Cardia / Q000473:pathology* / Q000601:surgery; D018572:Disease-Free Survival; D005260:Female; D005743:Gastrectomy / Q000379:methods*; D006801:Humans; D008297:Male; D008875:Middle Aged; D015999:Multivariate Analysis; D009361:Neoplasm Invasiveness / Q000473:pathology; D009364:Neoplasm Recurrence, Local / Q000517:prevention & control; D018365:Neoplasm, Residual; D011379:Prognosis; D012189:Retrospective Studies; D013274:Stomach Neoplasms / Q000473:pathology* / Q000601:surgery*; D016019:Survival Analysis