Jee Suk Chang1, Kyung Hwan Kim1,2, Ki Chang Keum1, Sung Hoon Noh3, Joon Seok Lim4, Hyo Song Kim5, Sun Young Rha5, Yong Chan Lee6, Woo Jin Hyung7, Woong Sub Koom8. 1. Department of Radiation Oncology, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Korea. 2. Graduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology, Daejeon, Korea. 3. Department of Surgery, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Korea. 4. Department of Radiology, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Korea. 5. Division of Medical Oncology, Department of Internal Medicine, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Korea. 6. Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Korea. 7. Department of Surgery, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Korea. WJHYUNG@yuhs.ac. 8. Department of Radiation Oncology, Yonsei Cancer Center, Yonsei University College of Medicine, Seoul, Korea. mdgold@yuhs.ac.
Abstract
BACKGROUND AND OBJECTIVES: To classify patients with nonmetastatic advanced gastric cancer who underwent D2-gastrectomy into prognostic groups based on peritoneal and systemic recurrence risks. METHODS: Between 2004 and 2007, 1,090 patients with T3-4 or N+ gastric cancer were identified from our registry. Recurrence rates were estimated using a competing-risk analysis. Different prognostic groups were defined using recursive partitioning analysis (RPA). RESULTS: Median follow-up was 7 years. In the RPA-model for peritoneal recurrence risk, the initial node was split by T stage, indicating that differences between patients with T1-3 and T4 cancer were the greatest. The 5-year peritoneal recurrence rates for patients with T4 (n = 627) and T1-3 (n = 463) disease were 34.3% and 9.1%, respectively. N stage and neural invasion had an additive impact on high-risk patients. The RPA model for systemic relapse incorporated N stage alone and gave two terminal nodes: N0-2 (n = 721) and N3 (n = 369). The 5-year cumulative incidences were 7.7% and 24.5%, respectively. CONCLUSIONS: We proposed risk stratification models of peritoneal and systemic recurrence in patients undergoing D2-gastrectomy. This classification could be used for stratification protocols in future studies evaluating adjuvant therapies such as preoperative chemoradiotherapy. J. Surg. Oncol. 2016;114:859-864.
BACKGROUND AND OBJECTIVES: To classify patients with nonmetastatic advanced gastric cancer who underwent D2-gastrectomy into prognostic groups based on peritoneal and systemic recurrence risks. METHODS: Between 2004 and 2007, 1,090 patients with T3-4 or N+ gastric cancer were identified from our registry. Recurrence rates were estimated using a competing-risk analysis. Different prognostic groups were defined using recursive partitioning analysis (RPA). RESULTS: Median follow-up was 7 years. In the RPA-model for peritoneal recurrence risk, the initial node was split by T stage, indicating that differences between patients with T1-3 and T4 cancer were the greatest. The 5-year peritoneal recurrence rates for patients with T4 (n = 627) and T1-3 (n = 463) disease were 34.3% and 9.1%, respectively. N stage and neural invasion had an additive impact on high-risk patients. The RPA model for systemic relapse incorporated N stage alone and gave two terminal nodes: N0-2 (n = 721) and N3 (n = 369). The 5-year cumulative incidences were 7.7% and 24.5%, respectively. CONCLUSIONS: We proposed risk stratification models of peritoneal and systemic recurrence in patients undergoing D2-gastrectomy. This classification could be used for stratification protocols in future studies evaluating adjuvant therapies such as preoperative chemoradiotherapy. J. Surg. Oncol. 2016;114:859-864.
Authors: Beate Rau; Andreas Brandl; Pompiliu Piso; Jörg Pelz; Peter Busch; Cedric Demtröder; Silke Schüle; Hans-Jürgen Schlitt; Marc Roitman; Jürgen Tepel; Udo Sulkowski; Faik Uzunoglu; Michael Hünerbein; Rüdiger Hörbelt; Michael Ströhlein; Stefan Beckert; Ingmar Königsrainer; Alfred Königsrainer Journal: Gastric Cancer Date: 2019-06-21 Impact factor: 7.370