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Annals of Surgical Oncology 9:775-784 (2002)
© 2002 Society of Surgical Oncology


ORIGINAL ARTICLES

Outcome of Ratio of Lymph Node Metastasis in Gastric Carcinoma

Etsuro Bando, MD, Yutaka Yonemura, MD, Keizo Taniguchi, MD, Sachio Fushida, MD, Takashi Fujimura, MD and Koichi Miwa, MD

From the Gastric Surgery Division (EB, YY), Shizuoka Cancer Center, Shizuoka, Japan; and the Second Department of Surgery (EB, YY, KT, SF, TF, KM), School of Medicine, Kanazawa University, Kanazawa, Japan.

Correspondence: Address correspondence and reprint requests to: Yutaka Yonemura, MD, PhD, Shizuoka Cancer Center, Gastric Surgery Division, 1007, Shimonagakubo, Nagaizumichou, Suntougun, Ishizuoka, 411-8777, Japan; Fax: 55-989-5783, E-mail: y.yonemura{at}scchr.jp

Background: The purpose of this study was to clarify the outcome of the ratio of the metastatic lymph nodes (RML) in gastric cancer patients.

Methods: The postoperative survival of 650 patients with gastric cancer who underwent D2 curative gastrectomy was analyzed with regard to the RML. The location, number, and RML in the N1 station and in all (N1 and N2) stations were analyzed. These data were compared from the viewpoints of staging accuracy and patient survival.

Results: The RML was classified as follows: RML 0, no involvement; RML 1, 0 to .1; RML 2, .1 to .25; and RML 3, >=.25. The 5-year survival rates stratified by RML were RML 0, 86%; RML 1, 68%; RML 2, 35%; and RML 3, 16%. Cox model identified all methods of classifying lymph node metastases as independent prognostic indicators in each calculation. However, a second Cox regression revealed that RML was the only independent prognostic factor among the three methods (P < .001). Stage migration was present in 35 cases (15%) when the number was considered. However, only 15 cases (7%) were underdiagnosed when RML was used.

Conclusions: RML is a useful classification of patients with gastric cancer. It may prevent the phenomenon of stage migration.

Key Words: Gastric cancer • Ratio of lymph node metastasis • "Will Rogers" phenomenon • Multivariate analysis




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