Evaluation of Intensive Adjuvant Chemotherapy in Gastric Cancer Using Life Expectancy Compared with Log-Rank Test as a Measure of Survival Benefit
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The goal of radical cancer surgery with or without adjuvant therapy is to cure disease rather than to delay death. There is concern that the survival benefit of curative treatment may not be properly appreciated by the log-rank test (LRT), which is more sensitive to treatment that delays death than to treatment that achieves cure. To confirm this concern and to evaluate the survival benefit of adjuvant chemotherapy, the data from a previous randomized controlled trial are analyzed using both traditional and new methods.
In this trial, 1410 gastric cancer patients with serosal or subserosal invasion had been classified by nodal and serosal status into four strata and randomized to receive high-dose or low-dose adjuvant regimens (mitomycin and tegafur-uracil) after gastrectomy. The two treatment groups were compared using the LRT as well as the life expectancy (LE) derived from the Boag model and the competing risk model.
The LRT showed no significant difference between the two groups, whereas the LE increased significantly with high-dose chemotherapy (1.4-year gain; 95% CI = 0.1–2.8). A greater gain of 4.4 years occurred exclusively in the serosa-negative node-positive stratum, associated with a 21% increase in cure rate. The gain in LE was particularly greater in younger patients.
Parametric LE analysis offers more relevant information about curative treatment than LRT. It suggests that high-dose chemotherapy may achieve cure in a subset of patients, eradicating residual malignancies left behind after gastrectomy and providing greater survival benefit than expected from LRT.
KeywordsLog-rank test Life expectancy Gastric cancer Adjuvant chemotherapy Cure rate Boag model
The authors are indebted to Dr. Inokuchi, former director of the Japanese Foundation for Multidisciplinary Cancer Therapy and Dr. Danno, representative of the T10 Group for providing the data.
- 6.Boag JW. Maximum likelihood estimates of the proportion of patients cured by cancer therapy. J R Stat Soc 1949; B11:15–53Google Scholar
- 11.Gross A, Clark VA. Survival distributions: reliability applications in the biomedical sciences. New York: John Wiley & Sons, 1975.Google Scholar
- 14.Working committee of the Japanese Society for Gastric Cancer. Japanese classification of gastric carcinoma, 1st ed. Tokyo: Kanehara & Co., 1995Google Scholar
- 23.UICC. TNM Classification of Malignant Tumours. New York: Wiley-Liss, 1997, pp 59–62.Google Scholar
- 24.Nashimoto A, Nakajima T, Furukawa H, et al. Randomized trial of adjuvant chemotherapy with mitomycin, fluorouracil, and cytosine arabinoside followed by oral fluouracil in serosa-negative gastric cancer: Japan Clinical Oncology Group 9206-1. J Clin Oncol 2003; 21:2282–2297PubMedCrossRefGoogle Scholar
- 26.Maetani Y, Murakami M, Kuroda Y, Kobashi Y, Maetani S. Recurrence of advanced gastric cancer presenting bone marrow carcinosis 18 years after surgery: report of a case. Tenri Med Bull 1998; 1:79–88Google Scholar