Tao Hou1, Tianhui Guo2, Runcong Nie3, Dongchun Hong2, Zhiwei Zhou3, Xing Zhang4, Yao Liang5. 1. Department of Oncology, The Second Xiangya Hospital, Central South University, Changsha, China. 2. State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China; Department of Medical Melanoma and Sarcoma, Sun Yat-sen University Cancer Center, Guangzhou, China. 3. State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China; Department of Gastric Surgery, Sun Yat-sen University Cancer Center, Guangzhou, China. 4. State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China; Department of Medical Melanoma and Sarcoma, Sun Yat-sen University Cancer Center, Guangzhou, China. Electronic address: zhangxing@sysucc.org.cn. 5. State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou, China; Department of Gastric Surgery, Sun Yat-sen University Cancer Center, Guangzhou, China. Electronic address: liangyao@sysucc.org.cn.
Abstract
INTRODUCTION: The prognostic values of nutritional and immune-inflammatory indicators in non-metastatic soft tissue sarcoma (STS) patients are not clear. We investigated the utility of systemic immune-inflammation index (SII) and the high-sensitivity modified Glasgow prognostic score (Hs-mGPS) in the prediction of STS patient's prognosis. MATERIALS AND METHODS: Patients admitted between January 2000 and December 2016, who underwent R0 resection for STS at SYSUCC were carefully retrospectively reviewed, and 454 patients were enrolled. The laboratory data and clinical data were collected from the patient's record. ROC analysis is used to determine the optimal cutoff value. Survival curves were analysed by Kaplan-Meier method. Cox proportional hazard model was used to find out prognostic variables. RESULTS: Increased SII and Hs-mGPS values were significantly related to larger tumour size, deep tumour location, higher tumour grade and more advanced American Joint Committee on Cancer (AJCC) stage. Patients with an elevated SII had a shorter median survival time and a lower 5-year OS rate than those with a low SII. And patients with low Hs-mGPS had longer median OS and DFS. Multivariate analysis revealed that both the SII and the Hs-mGPS were independent predictive indicators for OS. And a joint model containing both the Hsm-GPS and the SII appeared to have the strongest predictive ability. CONCLUSION: Our findings indicated that malnutrition and systemic inflammation are risk factors for the survival of STS patients after operation, and early recognition and intervention of malnutrition and systemic inflammation may help to improve the survival of the patients.
INTRODUCTION: The prognostic values of nutritional and immune-inflammatory indicators in non-metastatic soft tissue sarcoma (STS) patients are not clear. We investigated the utility of systemic immune-inflammation index (SII) and the high-sensitivity modified Glasgow prognostic score (Hs-mGPS) in the prediction of STS patient's prognosis. MATERIALS AND METHODS:Patients admitted between January 2000 and December 2016, who underwent R0 resection for STS at SYSUCC were carefully retrospectively reviewed, and 454 patients were enrolled. The laboratory data and clinical data were collected from the patient's record. ROC analysis is used to determine the optimal cutoff value. Survival curves were analysed by Kaplan-Meier method. Cox proportional hazard model was used to find out prognostic variables. RESULTS: Increased SII and Hs-mGPS values were significantly related to larger tumour size, deep tumour location, higher tumour grade and more advanced American Joint Committee on Cancer (AJCC) stage. Patients with an elevated SII had a shorter median survival time and a lower 5-year OS rate than those with a low SII. And patients with low Hs-mGPS had longer median OS and DFS. Multivariate analysis revealed that both the SII and the Hs-mGPS were independent predictive indicators for OS. And a joint model containing both the Hsm-GPS and the SII appeared to have the strongest predictive ability. CONCLUSION: Our findings indicated that malnutrition and systemic inflammation are risk factors for the survival of STS patients after operation, and early recognition and intervention of malnutrition and systemic inflammation may help to improve the survival of the patients.