Journal
WORLD JOURNAL OF SURGICAL ONCOLOGY
Volume 10, Issue -, Pages -Publisher
BIOMED CENTRAL LTD
DOI: 10.1186/1477-7819-10-87
Keywords
Gallbladder neoplasms; Lymphatic metastasis; Lymph node ratio; Lymph node excision; Prognosis
Funding
- Ministry of Education, Culture, Sports, Science and Technology in Japan [23592004]
- Grants-in-Aid for Scientific Research [23592004] Funding Source: KAKEN
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Background: Assessment of lymph node status is a critical issue in the surgical management of gallbladder cancer. The aim of this study was to compare the anatomical location of positive nodes, number of positive nodes, and lymph node ratio (LNR) as prognostic predictors in gallbladder cancer. Methods: We conducted a retrospective analysis of 135 patients with gallbladder cancer who underwent a radical resection with regional lymphadenectomy. A total of 2,245 regional lymph nodes were retrieved (median, 14 per patient). The location of positive nodes was classified according to the AJCC staging manual (7th edition). 'Optimal' cutoff values were determined for the number of positive nodes and LNR based on maximal chi(2) scores calculated with the Cox proportional hazards regression model. Results: Lymph node metastasis was found histologically in 59 (44%) patients. The 'optimal' cutoff values for the number of positive nodes and LNR were determined to be three nodes and 10%, respectively. Univariate analysis identified location of positive nodes (pN0, pN1, pN2; P < 0.001), number of positive nodes (0, 1 to 3, >= 4; P < 0.001), and LNR (0%, 0 to 10%, >10%; P < 0.001) as significant prognostic factors. Multivariate analysis identified number of positive nodes as an independent prognostic factor (P = 0.004); however, location of positive nodes and LNR failed to remain as an independent variable. Conclusions: The number of positive lymph nodes better predicts patient outcome after resection than either the location of positive lymph nodes or LNR in gallbladder cancer. Dividing the number of positive lymph nodes into three categories (0, 1 to 3, or >= 4) is valid for stratifying patients based on the prognosis after resection.
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