Nomogram Based on Systemic Immune-Inflammation Index to Predict Overall Survival in Gastric Cancer Patients

Shi, Hongtai; Jiang, Yinghua; Cao, Honggang; Zhu, Honglin; Chen, Bin; Ji, Weiwei

doi:10.1155/2018/1787424

Cited by 71 publications

(76 citation statements)

References 33 publications

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“…Therefore, SII was a convenient, low-cost, and effective inflammatory indicator to predict the prognosis of tumors. Previous studies have only reported the use of SII in nomograms for gastric and tongue cancer ( 22 , 23 ). Here, we report for the first time that nomograms based on SII can effectively predict postoperative HCC recurrence.…”

Section: Discussionmentioning

confidence: 99%

Nomogram Based on Systemic Immune Inflammation Index and Prognostic Nutrition Index Predicts Recurrence of Hepatocellular Carcinoma After Surgery

et al. 2020

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Background Surgery is a potential cure for hepatocellular carcinoma (HCC), but its postoperative recurrence rate is high, its prognosis is poor, and reliable predictive indicators are lacking. This study was conducted to develop a simple, practical, and effective predictive model. Materials and Methods Preoperative clinical and postoperative pathological data on patients with HCC undergoing partial hepatectomies at the Third Affiliated Hospital of Soochow University from January 2010 to December 2015 were retrospectively analyzed, and a nomogram was constructed. The model performance was evaluated using C-indexes, receiver operating characteristic curves, and calibration curves. The results were verified from validation cohort data collected at the same center from January 2016 to January 2017 and compared with the traditional staging systems. Results Three hundred three patients were enrolled in this study: 238 in the training cohort and 65 in the validation cohort. From the univariate and multivariate Cox regression analyses in the training cohort, six independent risk factors, i.e., age, alpha-fetoprotein (AFP), tumor size, satellite nodules, systemic immune inflammation index (SII), and prognostic nutritional index (PNI), were filtered and included in the nomogram. The C-index was 0.701 [95% confidence interval (CI): 0.654–0.748] in the training cohort and 0.705 (95% CI: 0.619–0.791) in the validation cohort. The areas under the curve for the 1- and 3-year recurrence-free survival were 0.706 and 0.716 in the training cohort and 0.686 and 0.743 in the validation cohort, respectively. The calibration curves showed good agreement. Compared with traditional American Joint Committee on Cancer 8th edition (AJCC8th) and Barcelona Clinic Liver Cancer (BCLC) staging systems, our nomogram showed better predictive ability. Conclusion Our nomogram is simple, practical, and reliable. According to our nomogram, predicting the risk of recurrence and stratifying HCC patient management will yield the greatest survival benefit for patients.

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Section: Discussionmentioning

confidence: 99%

Nomogram Based on Systemic Immune Inflammation Index and Prognostic Nutrition Index Predicts Recurrence of Hepatocellular Carcinoma After Surgery

et al. 2020

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“…In recent years, the importance of preoperative nutritional status and immunity in patients with GC has been recognized (5,6). The preoperative nutritional status and immunity of patients with GC determine whether the patient can undergo surgery and are some of the important factors in the evaluation of postoperative complications, postoperative recurrence and metastasis, chemotherapy tolerance and long-term prognosis (7-10).…”

Section: Introductionmentioning

confidence: 99%

Value of the preoperative prognostic nutritional index for the evaluation of patient prognosis after radical gastrectomy

et al. 2020

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Preoperative prognostic nutritional index (PNI) has been widely used for the clinical evaluation of patients with cancer. The present study assessed the prognostic value of preoperative PNI in patients after gastric cancer (GC) radical surgery. The clinical case and follow-up data of 170 patients undergoing GC radical surgery were retrospectively analyzed. The receiver operating characteristic (ROC) curve was used to compare the predictive ability of each inflammatory index: The PNI, neutrophil-to-lymphocyte ratio (NLR) and lymphocyte-to-monocyte ratio (LMR). The correlation between the preoperative PNI and overall survival (OS) was also analyzed via Kaplan-Meier (K-M) curves and multivariate Cox regression analyses. The results revealed that the optimal PNI cutoff was 46.030. According to this cutoff value, the whole sample was divided into PNI <46.030 (low PNI group) and PNI ≥46.030 (high PNI group). These groups were comprised of 102 and 68 cases, respectively. The area under the curve value of the PNI was 0.725, which was greater than that of traditional inflammatory indices, including the NLR and LMR. K-M survival analysis revealed that the 5 year survival rate of patients in the low PNI group was significantly lower than that of patients in the high PNI group (P<0.01). Univariate analysis and Cox multiple regression model analysis demonstrated that the T stage, N stage, pathological grade and PNI were independent risk factors for the 5 year survival rate after radical gastrectomy (P<0.05). In conclusion, the preoperative PNI is an independent risk factor for 5 year survival after radical gastrectomy and has clinical value for the prognostic evaluation of patients with GC.

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“…Tumor, Node, Metastasis (TNM) staging based on the International Union Against Cancer (UICC)/American Joint Committee on Cancer (AJCC) guidelines is currently the standard approach of determining the prognosis of GC patients [3]. However, several prognostic factors related to GC have been proposed, which include peripheral blood-derived in ammation markers, such as neutrophil-lymphocyte ratio (NLR), platelet lymphocyte ratio (PLR), systemic immune-in ammation index (SII), C-reactive protein/albumin (CRP/Alb) ratio, and Glasgow Prognostic Score (GPS) [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Clinical significance of peripheral blood-derived inflammation markers in advanced gastric cancer after radical resection

Chen

Zheng

et al. 2020

Preprint

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Background and objective: The prognostic significance of peripheral blood-derived inflammation markers in patients with gastric cancer (GC) has not been elucidated. This study aimed to investigate the relationship between systemic inflammatory markers and GC prognosis. Methods:A prospective observational cohort study involving 598 patients was conducted to analyze the prognosis of GC based on systemic inflammatory markers. The following peripheral blood-derived inflammation markers were evaluated: the neutrophil-lymphocyte ratio (NLR), platelet lymphocyte ratio (PLR), systemic immune-inflammation index (SII), C-reactive protein/albumin (CRP/Alb) ratio, Glasgow Prognostic Score (GPS), modified Glasgow Prognostic Score (mGPS), prognostic nutrition index (PNI), and prognostic index (PI). The receiver operating characteristics (ROC) curve and the Youden index were used to determine the optimal cutoff values. Univariate and multivariate analysis of prognostic factors was conducted accordingly. Results:The optimal cutoff values of the PNI, fibrinogen, NLR, PLR, SII, and CRP/Alb were 49.5, 397ng/dl, 2.5, 154, 556, and 0.05, respectively. Multivariate analysis showed that age, PLR, TNM stage, and chemotherapy were the independent prognostic factors for advanced gastric cancer (AGC).Adjuvant chemotherapy improved the long-term prognosis of patients with PLR ≥154, but chemotherapy had no significant effect on the survival of patients with PLR <154. Conclusions:Our findings show that higher PLR (≥154) is an independent risk factor for poor prognosis in GC patients. Besides, PLR can predict adjuvant chemotherapy (oxaliplatin/5-fluorouracil combination) response in patients with GC after surgery.

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Nomogram Based on Systemic Immune-Inflammation Index to Predict Overall Survival in Gastric Cancer Patients

Cited by 71 publications

References 33 publications

Nomogram Based on Systemic Immune Inflammation Index and Prognostic Nutrition Index Predicts Recurrence of Hepatocellular Carcinoma After Surgery

Nomogram Based on Systemic Immune Inflammation Index and Prognostic Nutrition Index Predicts Recurrence of Hepatocellular Carcinoma After Surgery

Value of the preoperative prognostic nutritional index for the evaluation of patient prognosis after radical gastrectomy

Clinical significance of peripheral blood-derived inflammation markers in advanced gastric cancer after radical resection

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