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Gao H, Wu X, Zhang Y, Liu G, Zhang X. Novel predictive factor for erectile dysfunction: systemic immune inflammation index. Int J Impot Res 2024:10.1038/s41443-024-00969-5. [PMID: 39209960 DOI: 10.1038/s41443-024-00969-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2023] [Revised: 08/12/2024] [Accepted: 08/14/2024] [Indexed: 09/04/2024]
Abstract
Systemic immune inflammation index (SII) is a global parameter that comprehensively reflects body inflammation, this study aims to assess the correlation between this index and erectile dysfunction (ED). This cross-sectional study incorporated 164 ED patients and 95 healthy adult males. The collection of general demographic information and pertinent hematological data from the participants enabled the computation of corresponding SII values. Statistical analysis, encompassing descriptive statistics as well as normality and logistic regression analyses, was carried out employing SPSS version 26. The findings of the univariate analysis revealed a noteworthy distinction in triglyceride levels (TG) (P = 0.017) and SII (P < 0.001) between ED patients and the healthy population. Subsequent multivariate logistic regression analysis unveiled a significant association between SII (odd ratio (OR):1.012, 95% confidence interval (CI):1.008-1.015; P < 0.001) and the occurrence of ED. Since the impact value is not clearly visible, SII/100 is utilized to magnify the effect value one hundredfold. The regression analysis results indicate that the OR value of SII/100 is 3.171, and the 95% CI is 2.339-4.298 (P < 0.001). The Receiver Operating Characteristic (ROC) curve analysis ascertained an AUC of 0.863 (P < 0.001) for SII, with a determined cut-off value of 391.53(109/L), exhibiting a sensitivity of 81.7% and specificity of 83.2%. Moreover, when comparing patients with varying degrees of ED severity, both univariate (P < 0.001) and subsequent multivariate logistic regression analyses (OR: 1.007, 95% CI: 1.004-1.010; P < 0.001) underscored the significance of the SII value. At this point, SII/100 OR: 1.971, 95% CI: 1.508-2.576 (P < 0.001). The ROC curve analysis in this context demonstrated an AUC of 0.799 (P < 0.001), with a determined cut-off value of 746.63(109/L), featuring a sensitivity of 60.6% and specificity of 91.6%. These discerned outcomes affirm a correlation between SII and ED, establishing its potential not only in predicting the onset of ED but also in differentiating among various levels of ED severity.
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Affiliation(s)
- Hui Gao
- Department of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
- Institute of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
- Anhui Province Key Laboratory of Urological and Andrological Diseases Research and Medical Transformation, Anhui Medical University, Hefei, Anhui, China
| | - Xu Wu
- Department of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
- Institute of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
- Anhui Province Key Laboratory of Urological and Andrological Diseases Research and Medical Transformation, Anhui Medical University, Hefei, Anhui, China
| | - Yuyang Zhang
- Department of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
- Institute of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
- Anhui Province Key Laboratory of Urological and Andrological Diseases Research and Medical Transformation, Anhui Medical University, Hefei, Anhui, China
| | - Guodong Liu
- Department of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
- Institute of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
- Anhui Province Key Laboratory of Urological and Andrological Diseases Research and Medical Transformation, Anhui Medical University, Hefei, Anhui, China
| | - Xiansheng Zhang
- Department of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
- Institute of Urology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
- Anhui Province Key Laboratory of Urological and Andrological Diseases Research and Medical Transformation, Anhui Medical University, Hefei, Anhui, China.
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Ding P, Yang J, Wu J, Wu H, Sun C, Chen S, Yang P, Tian Y, Guo H, Liu Y, Meng L, Zhao Q. Combined systemic inflammatory immune index and prognostic nutrition index as chemosensitivity and prognostic markers for locally advanced gastric cancer receiving neoadjuvant chemotherapy: a retrospective study. BMC Cancer 2024; 24:1014. [PMID: 39148031 PMCID: PMC11328362 DOI: 10.1186/s12885-024-12771-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2023] [Accepted: 08/06/2024] [Indexed: 08/17/2024] Open
Abstract
BACKGROUND The prognosis nutritional index (PNI) and the systemic inflammatory immunological index (SII) are characteristic indicators of the nutritional state and the systemic inflammatory response, respectively. However, there is an unknown combined effect of these indicators in the clinic. Therefore, the practicality of using the SII-PNI score to predict prognosis and tumor response of locally advanced gastric cancer (LAGC) following chemotherapy was the main focus of this investigation. METHODS We retrospectively analyzed 181 patients with LAGC who underwent curative resection after neoadjuvant chemotherapy in a prospective study (NCT01516944). We divided these patients into tumour regression grade(TRG) 3 and non-TRG3 groups based on tumor response (AJCC/CAP guidelines). The SII and PNI were assessed and confirmed the cut-off values before treatment. The SII-PNI values varied from 0 to 2, with 2 being the high SII (≥ 471.5) as well as low PNI (≤ 48.6), a high SII or low PNI is represented by a 1 and neither is represented by a 0, respectively. RESULTS 51 and 130 samples had TRG3 and non-TRG3 tumor responses respectively. Patients with TRG3 had substantially higher SII-PNI scores than those without TRG3 (p < 0.0001). Patients with greater SII-PNI scores had a poorer prognosis (p < 0.0001). The SII-PNI score was found to be an independent predictor of both overall survival (HR = 4.982, 95%CI: 1.890-10.234, p = 0.001) and disease-free survival (HR = 4.763, 95%CI: 1.994-13.903, p = 0.001) in a multivariate analysis. CONCLUSION The clinical potential and accuracy of low-cost stratification based on SII-PNI score in forecasting tumor response and prognosis in LAGC is satisfactory.
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Affiliation(s)
- Ping'an Ding
- Research Center and Tumor Research Institute, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, China
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011, China
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer Hebei Provincial Engineering Research Center, Shijiazhuang, 050011, China
| | - Jiaxuan Yang
- Research Center and Tumor Research Institute, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, China
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011, China
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer Hebei Provincial Engineering Research Center, Shijiazhuang, 050011, China
| | - Jiaxiang Wu
- Research Center and Tumor Research Institute, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, China
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011, China
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer Hebei Provincial Engineering Research Center, Shijiazhuang, 050011, China
| | - Haotian Wu
- Research Center and Tumor Research Institute, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, China
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011, China
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer Hebei Provincial Engineering Research Center, Shijiazhuang, 050011, China
| | - Chenyu Sun
- AMITA Health Saint Joseph Hospital Chicago, 2900 N. Lake Shore Drive, Chicago, IL, 60657, USA
| | - Shuya Chen
- Newham University Hospital, Glen Road, Plaistow, London, E13 8SL, United Kingdom
| | - Peigang Yang
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011, China
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer Hebei Provincial Engineering Research Center, Shijiazhuang, 050011, China
| | - Yuan Tian
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011, China
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer Hebei Provincial Engineering Research Center, Shijiazhuang, 050011, China
| | - Honghai Guo
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011, China
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer Hebei Provincial Engineering Research Center, Shijiazhuang, 050011, China
| | - Yang Liu
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, China
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011, China
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer Hebei Provincial Engineering Research Center, Shijiazhuang, 050011, China
| | - Lingjiao Meng
- Research Center and Tumor Research Institute, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, China.
- Key Laboratory of Tumour Prevention, Precision Diagnosis and Treatment in Hebei Province, Shijiazhuang, 050011, China.
| | - Qun Zhao
- Research Center and Tumor Research Institute, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, China.
- The Third Department of Surgery, The Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, China.
- Hebei Key Laboratory of Precision Diagnosis and Comprehensive Treatment of Gastric Cancer, Shijiazhuang, 050011, China.
- Big Data Analysis and Mining Application for Precise Diagnosis and Treatment of Gastric Cancer Hebei Provincial Engineering Research Center, Shijiazhuang, 050011, China.
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Fu DF, Chen B. The relationship between the systemic immune inflammation index and the nonalcoholic fatty liver disease in American adolescents. BMC Gastroenterol 2024; 24:233. [PMID: 39044158 PMCID: PMC11267776 DOI: 10.1186/s12876-024-03324-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Accepted: 07/15/2024] [Indexed: 07/25/2024] Open
Abstract
BACKGROUND Non-alcoholic fatty liver disease (NAFLD) is a growing health crisis in the general population of the United States (U.S.), but the relationship between systemic immune-inflammation (SII) index and NAFLD is not known. METHODS We collected data from the National Health and Nutrition Examination Survey 2017-2018. Next, propensity score matching (PSM), collinearity analysis, restricted cubic spline (RCS) plot, logistic regression, quantile regression analysis, subgroup analysis, mediation analysis, and population attributable fraction were used to explore the association of the SII with risk of NAFLD. RESULTS A total of 665 participants including the 532 Non-NAFLD and 133 NAFLD were enrolled for further analysis after PSM analysis. The RCS results indicated that there was a linear relationship between the SII and controlled attenuation parameter (p for nonlinear = 0.468), the relationship also existed after adjustment for covariates (p for nonlinear = 0.769). The logistic regression results indicated that a high SII level was an independent risk factor for NAFLD (OR = 3.505, 95% CI: 1.092-11.249, P < 0.05). The quantile regression indicated that at higher quantiles (0.90, and 0.95) the SII was significantly associated with NAFLD (p < 0.05). Mediation analysis indicated that alanine aminotransferase (ALT), triglycerides, and blood urea nitrogen (BUN) were partially contribute to the relationship between SII and NAFLD. The population attributable fractions indicated that 23.19% (95% CI: 8.22%, 38.17%) of NAFLD cases could be attributed to SII corresponding to 133 NAFLD cases. CONCLUSION There was a positive linear relationship between the SII and the risk of NAFLD. The ALT, triglycerides, and BUN had a partial mediating effect on the relationship between the SII and NAFLD.
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Affiliation(s)
- Dong-Fang Fu
- Department of Ultrasound, Hangzhou Xiaoshan First People's Hospital, No.199, Shixin South Road, Xiaoshan District, Hangzhou, Zhejiang, 311201, China
| | - Bin Chen
- Department of Ultrasound, Hangzhou Xiaoshan First People's Hospital, No.199, Shixin South Road, Xiaoshan District, Hangzhou, Zhejiang, 311201, China.
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Song YD, Bai XM, Ma J. The association of systemic immune-inflammation index with lung function, risk of COPD and COPD severity: A population-based study. PLoS One 2024; 19:e0303286. [PMID: 38875233 PMCID: PMC11178193 DOI: 10.1371/journal.pone.0303286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2024] [Accepted: 04/22/2024] [Indexed: 06/16/2024] Open
Abstract
PURPOSE The relationship between the levels of Systemic Immune-inflammation Index (SII) and chronic obstructive pulmonary disease (COPD), lung function, and COPD severity were not fully understood. We conducted this cross-sectional, population-based study to investigate the complex association between SII and COPD, lung function, and COPD severity among the US adults. METHODS Overall, 18,349 participants were included in the National Health and Nutrition Examination Survey (NHANES) between 2005 and 2018. The exposure variable was SII, calculated from platelet counts, neutrophil counts, and lymphocyte counts. Weighted univariable and multivariable logistic regression, subgroup analysis, and restricted cubic spline (RCS) regression were performed to assess the relationship between COPD, lung function, COPD severity and SII. Last, we used a propensity score matching (PSM) analysis to reduce selective bias and validate these relationships. RESULTS Approximately 1,094 (5.96%) of the participants were diagnosed as COPD. The multivariable-adjusted odds ratio (OR) (95% confidence interval, CI) for the Q2 group (Log-SII > 2.740) was 1.39 (1.16 to 1.68). Before and after matching, multivariable logistic regression models revealed that increased Log-SII levels (SII Logarithmic transformation) associated positively with the risk of COPD. The subgroup analysis showed no interaction between Log-SII and a variety of variables (P for interaction > 0.05). RCS showed a reversed L-shaped relationship between Log-SII with COPD (P for nonlinear = 0.001) in individuals. In addition, we observed negative significant correlations between forced expiratory volume in one second (FEV1) / forced vital capacity (FVC) %, FEV1/FVC% predicted and SII, and reversed U-shaped curve relationships between FEV1, FEV1% predicted and SII. High SII level is associated with severity of COPD, especially at Global Initiative on Obstructive Lung Disease (GOLD) 1 and GOLD 3. CONCLUSIONS In summary, the Log-SII level is associated with COPD risk, lung function, and COPD severity.
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Affiliation(s)
- Ying-da Song
- Department of Thoracic Surgery, Shanxi Provincial People's Hospital, Taiyuan, Shanxi Province, China
- Fifth Clinical Medical College, Shanxi Medical University, Taiyuan, Shanxi Province, People's Republic of China
| | - Xiao-Ming Bai
- Department of Thoracic Surgery, Shanxi Provincial People's Hospital, Taiyuan, Shanxi Province, China
| | - Jun Ma
- Department of Thoracic Surgery, Shanxi Provincial People's Hospital, Taiyuan, Shanxi Province, China
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Guo C, Cai Q, Li Y, Li F, Liu K. A cross-sectional National Health and Nutrition Examination survey-based study of the association between systemic immune-inflammation index and blood urea nitrogen levels in United States adolescents. Sci Rep 2024; 14:13248. [PMID: 38858433 PMCID: PMC11164917 DOI: 10.1038/s41598-024-64073-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2024] [Accepted: 06/05/2024] [Indexed: 06/12/2024] Open
Abstract
Blood urea nitrogen (BUN) level is one of the commonly used indicators to assess renal function and systemic immune-inflammatory status. In the adolescent population, changes in BUN levels may be associated with a variety of factors, including physiologic dehydration, lifestyle influences such as nutritional intake, physical activity, and possible endocrine or metabolic disorders. In recent years, more and more studies have shown that BUN levels are not only a reflection of kidney function, but it may also be related to the inflammatory state of the body. The Systemic Immune Inflammatory Index (SII) is a comprehensive index that takes into account platelet counts, neutrophil and lymphocyte counts, and is thought to be effective in reflecting the body's immune status and inflammatory response. However, research on the relationship between the two, SII and BUN, remains understudied in the adolescent population. The purpose of this study was to examine the relationship between SII and BUN levels in a population of American adolescents and to further analyze the factors that influence it. We conducted a cross-sectional study using data from the National Health and Nutrition Examination Survey (NHANES) database. Using descriptive statistics, correlation analysis, and regression analysis, we explored the relationship between SII and BUN levels. We found a significant negative correlation between SII and BUN levels, with BUN levels decreasing when SII levels increased (BUN as the dependent variable and SII as the outcome variable). We performed a multiple regression analysis of this relationship, controlling for possible confounders such as gender, age, race, and BMI, and found that this negative correlation remained significant. Our findings reveal an important relationship between SII and BUN levels and provide new perspectives for understanding adolescent health.
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Affiliation(s)
- Cheng Guo
- Comprehensive Pediatrics & Pulmonary and Critical Care Medicine, Kunming Children's Hospital, No.28, Shulin Street, Kunming, 650103, Yunnan Province, China
| | - Qinhui Cai
- Pediatric Department, Qionghai People's Hospital, No.33, Fuhai Road, Qionghai, 571400, Hainan Province, China
| | - Yang Li
- Comprehensive Pediatrics & Pulmonary and Critical Care Medicine, Kunming Children's Hospital, No.28, Shulin Street, Kunming, 650103, Yunnan Province, China
| | - Feng Li
- Comprehensive Pediatrics & Pulmonary and Critical Care Medicine, Kunming Children's Hospital, No.28, Shulin Street, Kunming, 650103, Yunnan Province, China
| | - Kai Liu
- Comprehensive Pediatrics & Pulmonary and Critical Care Medicine, Kunming Children's Hospital, No.28, Shulin Street, Kunming, 650103, Yunnan Province, China.
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Zhuo H, Zhou Z, Chen X, Song Z, Shang Q, Huang H, Xiao Y, Wang X, Chen H, Yan X, Zhang P, Gong Y, Liu H, Liu Y, Wu Z, Liang D, Ren H, Jiang X. Constructing and validating a predictive nomogram for osteoporosis risk among Chinese single-center male population using the systemic immune-inflammation index. Sci Rep 2024; 14:12637. [PMID: 38825605 PMCID: PMC11144694 DOI: 10.1038/s41598-024-63193-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2024] [Accepted: 05/27/2024] [Indexed: 06/04/2024] Open
Abstract
Osteoporosis (OP) is a bone metabolism disease that is associated with inflammatory pathological mechanism. Nonetheless, rare studies have investigated the diagnostic effectiveness of immune-inflammation index in the male population. Therefore, it is interesting to achieve early diagnosis of OP in male population based on the inflammatory makers from blood routine examination. We developed a prediction model based on a training dataset of 826 Chinese male patients through a retrospective study, and the data was collected from January 2022 to May 2023. All participants underwent the dual-energy X-ray absorptiometry (DXEA) and blood routine examination. Inflammatory markers such as systemic immune-inflammation index (SII) and platelet-to-lymphocyte ratio (PLR) was calculated and recorded. We utilized the least absolute shrinkage and selection operator (LASSO) regression model to optimize feature selection. Multivariable logistic regression analysis was applied to construct a predicting model incorporating the feature selected in the LASSO model. This predictive model was displayed as a nomogram. Receiver operating characteristic (ROC) curve, C-index, calibration curve, and clinical decision curve analysis (DCA) to evaluate model performance. Internal validation was test by the bootstrapping method. This study was approved by the Ethic Committee of the First Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine (Ethic No. JY2023012) and conducted in accordance with the relevant guidelines and regulations. The predictive factors included in the prediction model were age, BMI, cardiovascular diseases, cerebrovascular diseases, neuropathy, thyroid diseases, fracture history, SII, PLR, C-reactive protein (CRP). The model displayed well discrimination with a C-index of 0.822 (95% confidence interval: 0.798-0.846) and good calibration. Internal validation showed a high C-index value of 0.805. Decision curve analysis (DCA) showed that when the threshold probability was between 3 and 76%, the nomogram had a good clinical value. This nomogram can effectively predict the incidence of OP in male population based on SII and PLR, which would help clinicians rapidly and conveniently diagnose OP with men in the future.
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Affiliation(s)
- Hang Zhuo
- The First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, 510405, China
| | - Zelin Zhou
- The First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, 510405, China
| | - Xingda Chen
- The First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, 510405, China
| | - Zefeng Song
- Medical Department, Dalian University of Technology, Dalian, 116024, China
| | - Qi Shang
- The First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, 510405, China
| | - Hongwei Huang
- The First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, 510405, China
| | - Yun Xiao
- The Third Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, 510405, Guangdong, China
| | - Xiaowen Wang
- The First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, 510405, China
| | - Honglin Chen
- The First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, 510405, China
| | - Xianwei Yan
- The First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, 510405, China
| | - Peng Zhang
- The First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, 510405, China
| | - Yan Gong
- The First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, 510405, China
| | - Huiwen Liu
- The First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, 510405, China
| | - Yu Liu
- The First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, 510405, China
| | - Zixian Wu
- The First Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, 510405, China
| | - De Liang
- The First Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine, Guangzhou, 510405, China
| | - Hui Ren
- The Spine Surgery Department, Second Affiliated Hospital of Guangzhou Medical University, 250 Changgang East Road, Haizhu District, Guangzhou, 510260, Guangdong, China.
| | - Xiaobing Jiang
- The Spine Surgery Department, Second Affiliated Hospital of Guangzhou Medical University, 250 Changgang East Road, Haizhu District, Guangzhou, 510260, Guangdong, China.
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Feier CVI, Muntean C, Faur AM, Vonica RC, Blidari AR, Murariu MS, Olariu S. An Exploratory Assessment of Pre-Treatment Inflammatory Profiles in Gastric Cancer Patients. Diseases 2024; 12:78. [PMID: 38667536 PMCID: PMC11048996 DOI: 10.3390/diseases12040078] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2024] [Revised: 04/08/2024] [Accepted: 04/14/2024] [Indexed: 04/28/2024] Open
Abstract
Gastric cancer ranks as the fifth most common cancer, and the assessment of inflammatory biomarkers in these patients holds significant promise in predicting prognosis. Therefore, data from patients undergoing surgical intervention for gastric cancer over a 7-year period were analyzed. This study was retrospective and involved a preoperative investigation of six inflammatory parameters derived from complete blood counts. Statistical analysis revealed a significant increase in the leucocyte-to-monocyte ratio (LMR) (p = 0.048), along with a significant decrease in the number of lymphocytes and monocytes compared to patients with successful discharge. Taking into consideration patients undergoing emergency surgery, a significant increase in the LMR (p = 0.009), neutrophil-to-lymphocyte ratio (NLR) (p = 0.004), Aggregate Index of Systemic Inflammation (AISI) (p = 0.01), and Systemic Immune-Inflammation Index (SII) (p = 0.028) was observed. Regarding relapse, these patients exhibited significant increases in AISI (p = 0.032) and SII (p = 0.047). Inflammatory biomarkers represent a valuable tool in evaluating and predicting the prognosis of patients with gastric cancer.
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Affiliation(s)
- Catalin Vladut Ionut Feier
- First Discipline of Surgery, Department X-Surgery, “Victor Babes” University of Medicine and Pharmacy, 2 Eftimie Murgu Sq., 300041 Timisoara, Romania; (C.V.I.F.); (M.-S.M.); (S.O.)
- First Surgery Clinic, “Pius Brinzeu” Clinical Emergency Hospital, 300723 Timisoara, Romania
| | - Calin Muntean
- Medical Informatics and Biostatistics, Department III-Functional Sciences, “Victor Babeș” University of Medicine and Pharmacy, 2 Eftimie Murgu Sq., 300041 Timisoara, Romania
| | - Alaviana Monique Faur
- Faculty of Medicine, “Victor Babes” University of Medicine and Pharmacy, 300041 Timisoara, Romania;
| | - Razvan Constantin Vonica
- Preclinical Department, Discipline of Physiology, Faculty of Medicine, “Lucian Blaga” University of Sibiu, 550169 Sibiu, Romania;
| | - Andiana Roxana Blidari
- Oncology, Department IX-Surgery, “Victor Babes” University of Medicine and Pharmacy, 2 Eftimie Murgu Sq., 300041 Timisoara, Romania;
| | - Marius-Sorin Murariu
- First Discipline of Surgery, Department X-Surgery, “Victor Babes” University of Medicine and Pharmacy, 2 Eftimie Murgu Sq., 300041 Timisoara, Romania; (C.V.I.F.); (M.-S.M.); (S.O.)
- First Surgery Clinic, “Pius Brinzeu” Clinical Emergency Hospital, 300723 Timisoara, Romania
| | - Sorin Olariu
- First Discipline of Surgery, Department X-Surgery, “Victor Babes” University of Medicine and Pharmacy, 2 Eftimie Murgu Sq., 300041 Timisoara, Romania; (C.V.I.F.); (M.-S.M.); (S.O.)
- First Surgery Clinic, “Pius Brinzeu” Clinical Emergency Hospital, 300723 Timisoara, Romania
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Yang X, Wu C. Systemic immune inflammation index and gastric cancer prognosis: A systematic review and meta‑analysis. Exp Ther Med 2024; 27:122. [PMID: 38410191 PMCID: PMC10895464 DOI: 10.3892/etm.2024.12410] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Accepted: 12/01/2023] [Indexed: 02/28/2024] Open
Abstract
The present study aimed to pool the available data on the associations between the systemic immune inflammation index (SII) and overall survival (OS) or recurrence-free survival (RFS) in patients with gastric cancer (GC). A systematic search was conducted in the PubMed, EMBASE and Scopus databases for observational studies, and a random effects model was used to conduct the statistical analysis. Pooled effect sizes were reported as hazard ratios (HRs) with corresponding 95% confidence intervals (CI). Data from 30 studies (24 conducted in China) with follow-ups ranging between 15.5 and 65.6 months were analyzed. Patients with GC and high SII levels had poor OS (HR, 1.53; 95% CI, 1.34-1.75) and recurrence free survival (HR, 1.41; 95% CI, 1.17-1.70). These increased risks were present irrespective of the treatment strategy (surgical or non-surgical management), the sample size (<500 and ≥500) and the cut-off used to define high and low SII (<600 and ≥600 x109 cells/l). The results of this meta-analysis suggest that high pretreatment SII levels were associated with poor OS and RFS in patients with GC.
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Affiliation(s)
- Xiaomao Yang
- Department of Gastrointestinal Hernia, Huzhou Central Hospital, The Fifth School of Clinical Medicine of Zhejiang Chinese Medical University, Huzhou, Zhejiang 313000, P.R. China
| | - Chen Wu
- Department of Gastrointestinal Hernia, Huzhou Central Hospital, The Fifth School of Clinical Medicine of Zhejiang Chinese Medical University, Huzhou, Zhejiang 313000, P.R. China
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9
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Fang T, Yin X, Wang Y, Zhang L, Yang S, Jiang X, Xue Y. Clinical significance of systemic inflammation response index and platelet-lymphocyte ratio in patients with adenocarcinoma of the esophagogastric junction and upper gastric cancer. Heliyon 2024; 10:e26176. [PMID: 38420481 PMCID: PMC10900425 DOI: 10.1016/j.heliyon.2024.e26176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Revised: 02/07/2024] [Accepted: 02/08/2024] [Indexed: 03/02/2024] Open
Abstract
Background Tumor immunity plays an important role in assessing the tumor progression. The purpose of this study was to investigate the prognostic value of combined systemic inflammation response index (SIRI) and platelet-lymphocyte ratio (PLR) of gastroesophageal junction cancer (AEG) and upper gastric cancer (UGC) patients. Methods In this retrospective study, patients from 2003 to 2014 were divided into training and validation sets. The prognostic accuracy of each variable was compared using time-independent ROC analysis. The scoring system was calculated by cut-off values of SIRI and PLR in 5-year. Kaplan-Meier and Log-rank tests were used to analyze overall survival (OS). Chi-square test was used to analyze the association between clinical characteristics and the scoring system. Univariate and multivariate analyses based on the competitive risk regression model were used to analyze independent predictors of death due to AGC and UGC. R software was used to construct the Nomogram model of risk assessment. Results Patients with SIRI-PLR = 2 had worse survival time than those with 0 and 1 (P < 0.001) and more suitable for postoperative adjuvant chemotherapy (P = 0.002). High PLR patients were more suitable for proximal gastrectomy (P = 0.049). SIRI-PLR were independent predictors in training set (P < 0.001), which could be combined with age, pTNM stage and postoperative chemotherapy to construct Nomogram for predicting OS. Conclusions Preoperative SIRI-PLR score was an independent predictor for patients with AEG and UGC. The Nomogram model constructed by age, SIRI-PLR, pTNM stage and postoperative chemotherapy can correctly predict the prognosis of patients.
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Affiliation(s)
- Tianyi Fang
- Department of Gastroenterological Surgery, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, 150081, China
| | - Xin Yin
- Department of Gastroenterological Surgery, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, 150081, China
| | - Yufei Wang
- Department of Gastroenterological Surgery, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, 150081, China
| | - Lei Zhang
- Department of Pathology, Harbin Medical University, Harbin, 150081, China
| | - Shuo Yang
- Department of Pathology, Harbin Medical University, Harbin, 150081, China
| | - Xinju Jiang
- Department of Pathology, Harbin Medical University, Harbin, 150081, China
| | - Yingwei Xue
- Department of Gastroenterological Surgery, Harbin Medical University Cancer Hospital, Harbin Medical University, Harbin, 150081, China
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10
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Crocetto F, Imbimbo C, Barone B, Turchino D, Bracale UM, Peluso A, Panagrosso M, Falcone A, Mirto BF, De Luca L, Sicignano E, Del Giudice F, Busetto GM, Lucarelli G, Giampaglia G, Manfredi C, Ferro M, Tarantino G. Which inflammatory marker, between systemic immune-inflammation index and neutrophil to eosinophil ratio, is associated with Peyronie's disease and are there any implications for a better understanding of its mechanisms? Basic Clin Androl 2023; 33:38. [PMID: 38110896 PMCID: PMC10729439 DOI: 10.1186/s12610-023-00213-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Accepted: 11/04/2023] [Indexed: 12/20/2023] Open
Abstract
BACKGROUND Peyronie's disease affects up to 9% of men and is often accompanied by pain and/or erectile dysfunction. It is characterized by an inflammatory process that is the grassroots of the subsequent fibrosis stage. There is an unmet need to evaluate its onset and progression. Among the newly proposed biomarkers of inflammation, authors developed a novel systemic immune-inflammation index (SII) based on lymphocyte, neutrophil, and platelet counts. Similarly, a recent study reported that a neutrophil-to-eosinophil ratio (NER) represents systemic inflammation. RESULTS A 49-patient group with Peyronie's disease as confronted with 50 well-matched for age and BMI controls. As laboratory evaluation of inflammation, SII, NER and the eosinophil to neutrophil ratio (ENR) were studied. As a likely risk factor for the presence of Peyronie's disease, a higher prevalence of hypercholesterolemia, hyperglycemia and hypertension was discovered in the patients compared to controls. A significant difference was found in the median values of the NER between the two selected groups, i.e., 32.5 versus 17.3 (p = 0.0021). As expected, also ENR was significantly different. The receiver operating characteristic curves for SII, ENR and NER were 0.55, 0.32 and 0.67, respectively, highlighting the best performance of NER. The cut-off for NER was 12.1, according to the Youden test. CONCLUSIONS According to our results, any evaluation of circulating eosinophil, evaluated as NER, beyond being a signature of immuno-inflammatory response, help assess tissue homeostasis, since eosinophils are now considered multifunctional leukocytes and give a picture of the inflammatory process and repair process belonging to Peyronie's disease.
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Affiliation(s)
- Felice Crocetto
- Department of Neurosciences, Reproductive Sciences and Odontostomatology, University of Naples "Federico II", 80131, Naples, Italy
| | - Ciro Imbimbo
- Department of Neurosciences, Reproductive Sciences and Odontostomatology, University of Naples "Federico II", 80131, Naples, Italy
| | - Biagio Barone
- Division of Urology, Department of Surgical Sciences, AORN Sant'Anna e San Sebastiano, 81100, Caserta, Italy.
| | - Davide Turchino
- Department of Public Health, Vascular Surgery Unit, University of Naples Federico II, 80131, Naples, Italy
| | - Umberto Marcello Bracale
- Department of Public Health, Vascular Surgery Unit, University of Naples Federico II, 80131, Naples, Italy
| | - Antonio Peluso
- Department of Public Health, Vascular Surgery Unit, University of Naples Federico II, 80131, Naples, Italy
| | - Marco Panagrosso
- Department of Public Health, Vascular Surgery Unit, University of Naples Federico II, 80131, Naples, Italy
| | - Alfonso Falcone
- Department of Neurosciences, Reproductive Sciences and Odontostomatology, University of Naples "Federico II", 80131, Naples, Italy
| | - Benito Fabio Mirto
- Department of Neurosciences, Reproductive Sciences and Odontostomatology, University of Naples "Federico II", 80131, Naples, Italy
| | - Luigi De Luca
- Division of Urology, AORN "Antonio Cardarelli", Naples, Italy
| | - Enrico Sicignano
- Department of Neurosciences, Reproductive Sciences and Odontostomatology, University of Naples "Federico II", 80131, Naples, Italy
| | - Francesco Del Giudice
- Department of Maternal Infant and Urologic Sciences, Policlinico Umberto I Hospital, "Sapienza" University of Rome, 00161, Rome, Italy
| | - Gian Maria Busetto
- Department of Urology and Organ Transplantation, University of Foggia, 71122, Foggia, Italy
| | - Giuseppe Lucarelli
- Urology, Andrology and Kidney Transplantation Unit, Department of Emergency and Organ Transplantation, University of Bari, 70124, Bari, Italy
| | - Gaetano Giampaglia
- Department of Neurosciences, Reproductive Sciences and Odontostomatology, University of Naples "Federico II", 80131, Naples, Italy
| | - Celeste Manfredi
- Department of Neurosciences, Reproductive Sciences and Odontostomatology, University of Naples "Federico II", 80131, Naples, Italy
| | - Matteo Ferro
- Department of Urology, IEO, European Institute of Oncology IRCCS, 20141, Milan, Italy
| | - Giovanni Tarantino
- Department of Clinical Medicine and Surgery, Federico II Medical School of Naples, Naples, Italy
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11
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Chen C, Wang Z, Qin Y. A Novel Hematological Inflammation-Nutrition Score (HINS) and Its Related Nomogram Model to Predict Survival Outcome in Advanced Gastric Cancer Patients Receiving First-Line Palliative Chemotherapy. J Inflamm Res 2023; 16:2929-2946. [PMID: 37465343 PMCID: PMC10350431 DOI: 10.2147/jir.s417798] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 07/07/2023] [Indexed: 07/20/2023] Open
Abstract
Purpose This study aims to construct a novel hematological inflammation-nutrition score (HINS) and investigate its prognostic value in patients with advanced gastric cancer (AGC). We investigated the risk stratification performance of HINS and developed a HINS-based nomogram model to predict overall survival by combining traditional predictors. Patients and Methods We conducted a retrospective study on 812 AGC patients who received first-line platinum- or fluoropyrimidine-containing chemotherapy at The First Affiliated Hospital of Zhengzhou University Hospital between 2014 and 2019. Patients were randomly divided into a training cohort (N=609) and a validation cohort (N=203). HINS (0-2) was constructed based on a pre-chemotherapy systemic immune-inflammation index (SII) and albumin (ALB). Prognostic factors were screened by univariate and multivariate COX proportional regression models. Significant factors were used to construct a nomogram model. Internal validation was performed by calibration curves, time-dependent receiver operating characteristics (ROC) curves, and decision curve analysis (DCA), evaluating its prediction consistency, discrimination ability, and clinical net benefit. Results HINS was constructed based on SII and ALB. HINS showed a better stratification ability than JCOG prognostic index, with significant differences between groups. Multivariate analysis showed that ECOG ≥1 (HR: 1.379; P=0.005), Stage IV (HR: 1.581; P <0.001), diffuse-type histology (HR: 1.586; P <0.001), number of metastases ≥2 (HR: 1.274; P=0.038), without prior gastrectomy (HR: 1.830; P <0.001), ALP ≥ULN (HR: 1.335; P=0.034), HINS (P <0.001) were independent factors of OS. We successfully established a HINS-based nomogram model that showed a strong discriminative ability, accuracy, and clinical utility in training and validation cohorts. Conclusion HINS shows a superior risk stratification ability, which might be a potential prognostic biomarker for AGC patients receiving palliative first-line palliative chemotherapy. The HINS-based nomogram model is a convenient and efficient tool for managing prognosis and follow-up treatments.
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Affiliation(s)
- Chen Chen
- Department of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
| | - Zehua Wang
- Department of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
| | - Yanru Qin
- Department of Oncology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, People’s Republic of China
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Zhao F, Li E, Shen G, Dong Q, Ren D, Wang M, Zhao Y, Liu Z, Ma J, Xie Q, Liu Z, Li Z, Gao L, Zhao J. Correlation between mismatch repair and survival of patients with gastric cancer after 5-FU-based adjuvant chemotherapy. J Gastroenterol 2023; 58:622-632. [PMID: 37036516 DOI: 10.1007/s00535-023-01990-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/24/2022] [Accepted: 03/29/2023] [Indexed: 04/11/2023]
Abstract
BACKGROUND Almost all adjuvant chemotherapy regimens for gastric cancer recommended by guidelines are fluorouracil (5-FU) based, and 5-FU-based adjuvant chemotherapy plays an important role in reducing the recurrence of gastric cancer after surgery. However, the effect of mismatch repair (MMR) status on survival after 5-FU-based adjuvant chemotherapy in patients with gastric cancer remains controversial. MATERIALS AND METHODS We prospectively included patients with gastric cancer who underwent radical gastrectomy between March 14, 2017 and September 30, 2021. The included patients received 5-FU-based adjuvant chemotherapy or surgery alone. The MMR status of patients was divided into MMR proficient (pMMR) and MMR defective (dMMR) according to four MMR proteins. Peripheral blood was collected for systemic inflammation analysis. The main purpose of this study was to analyze the effect of MMR status on survival after 5-FU-based adjuvant chemotherapy in patients with gastric cancer. We also analyzed the differences in systemic inflammation levels in different MMR status and their impact on survival. RESULTS A total of 479 patients were enrolled, with a median follow-up period of time was 36 months. In the surgery alone group, dMMR gastric cancer had better disease-free survival (DFS) (hazard ratio [HR] = 4.33, 95% confidence interval [CI] 1.25-15.02, p = 0.02) than pMMR, and in the adjuvant chemotherapy group, there was no significant difference in DFS (HR = 1.16, 95% CI 0.65-2.07, p = 0.61) between dMMR and pMMR gastric cancer. The same results were seen for overall survival (OS). In addition, the result show that in the dMMR group, there was no difference in DFS (HR = 1.62, 95% CI 0.46-5.77, p = 0.45) between patients receiving adjuvant chemotherapy and those receiving surgery alone. In the pMMR group, the DFS values (HR = 0.59, 95%CI 0.35-0.99, p = 0.04) of patients receiving adjuvant chemotherapy were better than those of patients receiving surgery alone, and the same results were observed for OS. In addition, among pMMR patients, patients with a low platelet lymphocyte ratio (PLR) who received 5-FU adjuvant chemotherapy and those with a low neutrophil lymphocyte ratio (NLR) and systemic immune-inflammation index (SII) who received surgery alone had better DFS and OS. CONCLUSION To our knowledge, this is the first prospective study to specifically explore the correlation between MMR and survival of patients with gastric cancer after 5-FU-based adjuvant chemotherapy. The results showed that gastric cancer patients with pMMR can benefit from 5-FU-based adjuvant chemotherapy, but those with dMMR cannot. Among pMMR patients, lower PLR and SII values with surgery alone and lower NLRs in those receiving 5-FU-based adjuvant chemotherapy were associated with higher DFS and OS.
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Affiliation(s)
- Fuxing Zhao
- Research Center for High Altitude Medicine, Key Laboratory of Plateau Medicine, Ministry of Education, Qinghai Key Laboratory of Plateau Medical Application Foundation (Qinghai-Utah Joint Research Key Laboratory for High Altitude Medicine), Qinghai University, Qinghai University, Xining, People's Republic of China
- Breast Disease Diagnosis and Treatment Center, Affiliated Hospital of Qinghai University, Affiliated Cancer Hospital of Qinghai University, Xining, People's Republic of China
- Department of Medical Oncology, Affiliated Hospital of Qinghai University, Affiliated Cancer Hospital of Qinghai University, Xining, People's Republic of China
| | - Enxi Li
- Department of Medical Oncology, The Second Hospital of Lanzhou University, Lanzhou, People's Republic of China
| | - Guoshuang Shen
- Breast Disease Diagnosis and Treatment Center, Affiliated Hospital of Qinghai University, Affiliated Cancer Hospital of Qinghai University, Xining, People's Republic of China
| | - Qiuxia Dong
- The Fifth People's Hospital of Qinghai Province, The First Ward of Oncology, Xining, People's Republic of China
| | - Dengfeng Ren
- Breast Disease Diagnosis and Treatment Center, Affiliated Hospital of Qinghai University, Affiliated Cancer Hospital of Qinghai University, Xining, People's Republic of China
- Department of Medical Oncology, Affiliated Hospital of Qinghai University, Affiliated Cancer Hospital of Qinghai University, Xining, People's Republic of China
| | - Miaozhou Wang
- Breast Disease Diagnosis and Treatment Center, Affiliated Hospital of Qinghai University, Affiliated Cancer Hospital of Qinghai University, Xining, People's Republic of China
| | - Yi Zhao
- Breast Disease Diagnosis and Treatment Center, Affiliated Hospital of Qinghai University, Affiliated Cancer Hospital of Qinghai University, Xining, People's Republic of China
| | - Zhen Liu
- Breast Disease Diagnosis and Treatment Center, Affiliated Hospital of Qinghai University, Affiliated Cancer Hospital of Qinghai University, Xining, People's Republic of China
| | - Jinhua Ma
- Department of Medical Oncology, Affiliated Hospital of Qinghai University, Affiliated Cancer Hospital of Qinghai University, Xining, People's Republic of China
| | - Qiqi Xie
- Breast Disease Diagnosis and Treatment Center, Affiliated Hospital of Qinghai University, Affiliated Cancer Hospital of Qinghai University, Xining, People's Republic of China
| | - Zhilin Liu
- Breast Disease Diagnosis and Treatment Center, Affiliated Hospital of Qinghai University, Affiliated Cancer Hospital of Qinghai University, Xining, People's Republic of China
| | - Zitao Li
- Breast Disease Diagnosis and Treatment Center, Affiliated Hospital of Qinghai University, Affiliated Cancer Hospital of Qinghai University, Xining, People's Republic of China
| | - Lihong Gao
- The Fifth People's Hospital of Qinghai Province, The First Ward of Oncology, Xining, People's Republic of China
| | - Jiuda Zhao
- Research Center for High Altitude Medicine, Key Laboratory of Plateau Medicine, Ministry of Education, Qinghai Key Laboratory of Plateau Medical Application Foundation (Qinghai-Utah Joint Research Key Laboratory for High Altitude Medicine), Qinghai University, Qinghai University, Xining, People's Republic of China.
- Breast Disease Diagnosis and Treatment Center, Affiliated Hospital of Qinghai University, Affiliated Cancer Hospital of Qinghai University, Xining, People's Republic of China.
- Department of Medical Oncology, Affiliated Hospital of Qinghai University, Affiliated Cancer Hospital of Qinghai University, Xining, People's Republic of China.
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Cesur IB, Özçelik Z. Systemic Immune-Inflammation Index May Predict Mortality in Neuroblastoma. Cureus 2023; 15:e35705. [PMID: 36875247 PMCID: PMC9982472 DOI: 10.7759/cureus.35705] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/02/2023] [Indexed: 03/06/2023] Open
Abstract
INTRODUCTION Neuroblastomas (NB) are among the most frequent childhood solid tumors. The link between inflammation and cancer is well understood. Many research studies have been conducted to determine the prognostic importance of inflammatory markers in cancer patients. C-reactive protein (CRP), neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII) are all potential inflammation indicators. The purpose of this study is to assess the efficacy of NLR and SII as inflammatory indicators in predicting NB patient survival. MATERIALS AND METHODS Patients with NB diagnosed between January 1, 2012 and December 31, 2021 were studied retrospectively, and death was documented. By dividing the number of neutrophils by the number of lymphocytes, the NLR was obtained. The SII was calculated by multiplying the NLR by the platelet count. RESULTS 46 patients with NB were included in the study with a mean age of 57.58 months (4.14-170.05). When the patients were analyzed based on mortality the NLR and SII values were statistically significantly increased in the dead group (2.71 (1.22-4.1 ) vs. 1.7 (0.16-5.1); p=0.02; and 677.8 (215-1322) vs. 294.6 (69.49-799.1), respectively; p=0.012). Analysis of the receiver operating curve found that 328.49 is the ideal cutoff value for SII to predict mortality with a sensitivity of 83% and a specificity of 68% (area under the receiver operating characteristic curve = 0.814 (95% confidence interval: 0.671-0.956), p=0.005 ). Analyzing the influence of risk factors on survival using Cox regression analysis, SII was discovered as a significant predictor of survival in the study (HR =1.001, 95% CI =1-1.20; p=0.049). CONCLUSION SII may be used to predict the overall survival of NB patients.
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Affiliation(s)
| | - Zerrin Özçelik
- Pediatric Surgery, Adana City Training Hospital, Adana, TUR
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14
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The preoperative systemic immune-inflammation index is associated with an unfavorable prognosis for patients undergoing curative resection of esophageal squamous cell carcinoma after neoadjuvant therapy. Surg Today 2023:10.1007/s00595-023-02658-0. [PMID: 36797438 DOI: 10.1007/s00595-023-02658-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Accepted: 12/23/2022] [Indexed: 02/18/2023]
Abstract
PURPOSES Systemic inflammation and immune status play a critical role in the development and progression of cancers. We evaluated the clinical significance of the preoperative systemic immune-inflammation index (SII) for predicting the long-term outcomes of patients who received neoadjuvant therapy for esophageal squamous cell carcinoma (ESCC). METHODS The subjects of this study were 277 patients who underwent curative resection of ESCC after neoadjuvant therapy. The SII was calculated as follows: SII = neutrophil × platelet/lymphocyte counts. Patients were stratified into high and low preoperative SII groups according to the cut-off value calculated by a receiver operating characteristic curve analysis. The Kaplan-Meier method and Cox proportional regression analysis were used to evaluate the correlation of SII to prognosis. RESULTS The optimal cutoff of the preoperative SII was set at 700. Patients were categorized into preoperative SII-low (n = 203) and SII-high (n = 74) groups. The preoperative SII was significantly associated with tumor size. The relapse-free survival of patients in the SII-high group was significantly shorter (P = 0.0087) and preoperative SII-high was identified as an independent prognostic factor (hazard ratio [HR] 1.55, 95% confidence interval [CI] 1.06-2.28, P = 0.0229). The prevalence of hematogenous recurrence was significantly higher in the SII-high group. When we stratified patients into three groups with an additional cutoff value of 1200, we observed an incremental decrease in relapse-free survival rates. CONCLUSIONS High preoperative SII was associated with shorter relapse-free survival times for ESCC patients who underwent curative resection after neoadjuvant therapy.
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Demircan NC, Atcı MM, Demir M, Işık S, Akagündüz B. Dynamic changes in systemic immune-inflammation index predict pathological tumor response and overall survival in patients with gastric or gastroesophageal junction cancer receiving neoadjuvant chemotherapy. Asia Pac J Clin Oncol 2023; 19:104-112. [PMID: 35538045 DOI: 10.1111/ajco.13784] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 03/05/2022] [Accepted: 04/06/2022] [Indexed: 01/20/2023]
Abstract
AIM Systemic inflammation has been associated with chemoresistance and prognosis in solid tumors. Systemic immune-inflammation index (SII) is a novel marker derived from complete blood count. We investigated whether differences between SIIs measured before and after neoadjuvant chemotherapy (NACT) are associated with tumor regression grade (TRG) and survival in gastric and gastroesophageal junction (GEJ) cancer patients. METHODS Records of gastric and GEJ cancer patients treated with NACT in two centers were evaluated retrospectively. Patients were categorized according to difference between pre- and post-NACT SII values (ΔSII). Association between clinicopathological factors and TRG was analyzed using logistic regression method. Predictors of disease-free and overall survival (DFS and OS) were determined with Cox regression models. RESULTS The study included 140 patients. Patients with ΔSII<0 were more likely to achieve TRG 0/1 (45.2% vs. 19.1%, p = 0.003) and ΔSII<0 was an independent predictor of TRG 0/1 (OR = 6.05, p<0.001). DFS and OS of patients with ΔSII<0 were also significantly longer (p = 0.031 and p = 0.006, respectively). After adjustment for other variables, ΔSII≥0 was an independent prognostic factor for OS (Hazard ratio (HR) = 2.13, p = 0.008). CONCLUSIONS Changes in SII, which is a low-cost and easily accessible marker, may be used to estimate prognosis, individualize postoperative treatment and optimize surveillance in gastric and GEJ cancer patients treated with NACT.
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Affiliation(s)
- Nazım Can Demircan
- Department of Medical Oncology, Erzurum Regional Training and Research Hospital, Erzurum, Turkey
| | - Muhammed Mustafa Atcı
- Department of Medical Oncology, Prof. Dr. Cemil Taşçıoğlu State Hospital, Istanbul, Turkey
| | - Metin Demir
- Department of Medical Oncology, Erzurum Regional Training and Research Hospital, Erzurum, Turkey
| | - Selver Işık
- Department of Medical Oncology, Erzurum Regional Training and Research Hospital, Erzurum, Turkey
| | - Baran Akagündüz
- Department of Medical Oncology, Binali Yıldırım University School of Medicine, Erzincan, Turkey
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Li Y, Peng L, Zhang K, Wu Y, Gao H, Chen H. The Pre-Ablation Circulating Tumor-Associated Inflammatory Index Predicts the Prognosis of Patients with Liver Metastasis from Pancreatic Cancer. J Inflamm Res 2022; 15:5977-5987. [PMID: 36324863 PMCID: PMC9621230 DOI: 10.2147/jir.s381807] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Accepted: 10/14/2022] [Indexed: 11/30/2022] Open
Abstract
OBJECTIVE Ablation serves as a common local treatment for liver metastases from pancreatic cancer (PCLM), but the correlation between the prognosis of PCLM and inflammatory cytokines has been rarely reported. This study aimed to establish a cytokine-based prognostic model for patients with PCLM who are receiving ablation. PATIENTS AND METHODS Serum samples from peripheral blood were collected from patients with PCLM before their first ablation. Cytokines were measured using Luminex chips and ELISA. Cox regression and least absolute shrinkage and selection operator regression were used to select prognostic factors for overall survival (OS). Area under the receiver operating characteristic curve (AUC) was applied to compare the ability to predict survival. RESULTS The relationship between cytokines and clinical factors was evaluated and their prognostic value was compared. Six optimal predictors were selected, including IL-2, IL-7, HGF, IFN-γ, CA19-9 and CEA. The risk model based on these predictors was built and named circulating tumor-associated inflammatory index (CTII). The CTII (AUCs > 0.90) showed superior performance to systemic immune-inflammation index (SII, AUCs < 0.65) in OS. CONCLUSION A circulating cytokine-based risk model for patients with PCLM before first ablation has been proposed and validated, which has demonstrated superior performance in predicting survival and has the potential to inform clinical treatment strategies.
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Affiliation(s)
- Yujie Li
- Department of Integrative Oncology, Fudan University Shanghai Cancer Center, Shanghai, People’s Republic of China,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People’s Republic of China
| | - Linjia Peng
- Department of Integrative Oncology, Fudan University Shanghai Cancer Center, Shanghai, People’s Republic of China,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People’s Republic of China
| | - Ke Zhang
- Department of Integrative Oncology, Fudan University Shanghai Cancer Center, Shanghai, People’s Republic of China,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People’s Republic of China
| | - Yong Wu
- Department of Oncology, The Second Affiliated Hospital of Anhui University of Traditional Chinese Medicine, Hefei, People’s Republic of China
| | - Huifeng Gao
- Department of Integrative Oncology, Fudan University Shanghai Cancer Center, Shanghai, People’s Republic of China,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People’s Republic of China
| | - Hao Chen
- Department of Integrative Oncology, Fudan University Shanghai Cancer Center, Shanghai, People’s Republic of China,Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, People’s Republic of China,Correspondence: Hao Chen, Department of Integrative Oncology, Fudan University Shanghai Cancer Center, 270 Dong’an Road, Shanghai, People’s Republic of China, Tel +86-18017312356, Email
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Yang F, Pan M, Nie J, Xiao F, Zhang Y. Evaluation of the prognostic nutritional index for the prognosis of Chinese patients with high/extremely high-risk prostate cancer after radical prostatectomy. World J Clin Cases 2022; 10:8863-8871. [PMID: 36157668 PMCID: PMC9477051 DOI: 10.12998/wjcc.v10.i25.8863] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Revised: 05/22/2022] [Accepted: 07/29/2022] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND The incidence of prostate cancer (PCa) is on the rise in China. The risk level of patients with PCa is associated with disease-free survival rate at 10 years after radical prostatectomy. Predicting prognosis in advance according to the degree of risk can provide a reference for patients, especially treatment options and postoperative adjuvant treatment measures for high-risk/extremely high-risk patients.
AIM To explore the predictive value of the prognostic nutritional index (PNI) for biological recurrence in Chinese patients with high/extremely high-risk PCa after radical prostatectomy.
METHODS The biochemical test results and clinical data of 193 patients who underwent radical prostatectomy for the first time from January 2015 to December 2020 were retrospectively collected. The PNI value of peripheral blood within 1 wk before surgery was calculated, and during the follow-up period, prostate-specific antigen ≥ 0.2 ng/mL was considered to have biological recurrence. The receiver operating characteristic (ROC) curve was used to calculate the optimal critical value and area under the curve (AUC) of the patients. According to the critical value, the progression-free survival of the high PNI group and low PNI group was compared. The independent influencing factors of the patients' prognosis were obtained by the Cox proportional hazards regression model.
RESULTS The non-biological recurrence rates at 1, 3, and 5 years were 92.02%, 84.05%, and 74.85%, respectively. The optimal critical value for PNI to predict biological recurrence was 46.23, and the AUC was 0.789 (95% confidence interval: 0.651-0.860; P < 0.001). The sensitivity and specificity were 82.93% and 62.30%, respectively. In accordance with the optimal critical value of the ROC curve (46.23), 193 patients were further divided into a high PNI group (PNI ≤ 46.23, n = 108) and low PNI group (PNI > 46.23, n = 85). The incidence of postoperative complications in the high PNI group was lower than that in the low PNI group (21.18% vs 38.96%). Kaplan-Meier survival analysis showed that the overall survival rate at 5 years in the low PNI group was 87.96% (13/108), which was lower than that in the high PNI group (61.18%, 33/85; P < 0.05). Low PNI [hazard ratio (HR) = 1.74; P = 0.003] and positive incisal margin status (HR = 2.14; P = 0.001) were independent predictors of biological recurrence in patients with high/extremely high-risk PCa.
CONCLUSION The PNI has predictive value for the prognosis of patients with high/extremely high-risk PCa, and is an independent prognostic factor. Patients with low PNI value have a shorter time of non-biological recurrence after prostatectomy. It is expected that the combined prediction of other clinicopathological data will further improve the accuracy and guide postoperative adjuvant therapy to improve the quality of prognosis.
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Affiliation(s)
- Fan Yang
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei Province, China
| | - Min Pan
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei Province, China
| | - Jin Nie
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei Province, China
| | - Fan Xiao
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei Province, China
| | - Yuan Zhang
- Department of Urology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei Province, China
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18
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Ouyang H, Wang Z. Predictive value of the systemic immune-inflammation index for cancer-specific survival of osteosarcoma in children. Front Public Health 2022; 10:879523. [PMID: 35968442 PMCID: PMC9363629 DOI: 10.3389/fpubh.2022.879523] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2022] [Accepted: 07/08/2022] [Indexed: 11/29/2022] Open
Abstract
Background Osteosarcoma (OS) is the primary malignant bone tumor that most commonly affects children and adolescents. Recent years effective chemotherapy have improved the 5-year survival in osteosarcoma patients to up to 60%-70%. Still, there is a lack of novel therapeutic strategies to enhance further survival. Our study aimed to evaluate the clinical significance of pretreatment inflammatory-based parameters, including PLT, NLR, and SII, as prognostic indicators of survival in pediatric osteosarcoma patients. Methods A total of 86 pediatric osteosarcoma patients between 2012 and 2021 in the Department of Orthopedics or tumor Surgery of Children's Hospital affiliated to Chongqing Medical University were retrospectively analyzed. The clinicopathological variables and systematic inflammatory biomarkers, including NLR, PLR and SII, was performed by the A Receiver operating characteristic (ROC) curve and Cox proportional risk regression model. According to the results of multivariate analysis, a prognostic nomogram was generated, and the concordance index (C-index) was calculated to predict the performance of the established nomogram. The survival curve was plotted by the Kaplan-Meier method. Results Univariate analysis showed that TNM stage, tumor size, NLR value, PLR value, SII value, neutrophil count and platelet count were related to CSS (p < 0.05). According to multivariate analysis, only TNM stage (p = 0.006) and SII values (p = 0.015) were associated with poor prognosis.To further predict survival in pediatric osteosarcoma patients, multivariate Cox regression analysis was used to predict cancer-specific survival at 1, 3 and 5 years. And constructed a nomogram model to predict children's CSS. The C-index of the nomogram is 0.776 (95%CI, 0.776–0.910), indicating that the model has good accuracy. Conclusion Preoperative SII and TNM staging are independent prognostic markers for pediatric osteosarcoma patients. SII may be used in conjunction with TNM staging for individualized treatment of pediatric osteosarcoma patients in future clinical work.
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Mohammed AA, Al-Zahrani O, Elsayed FM. The application of the Glasgow prognostic score to predict the survival in patients with metastatic pancreatic carcinoma. Indian J Palliat Care 2022; 28:406-412. [DOI: 10.25259/ijpc_81_2021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Accepted: 06/22/2022] [Indexed: 11/24/2022] Open
Abstract
Objectives:
Thither is a more pressing effort to think about chemotherapy (CTx) in second-line and beyond in patients with metastatic pancreatic cancer (mPC). The current work aimed to evaluate the value of the Glasgow prognostic score (GPS) and modified Glasgow prognostic score (mGPS) to predict the survival in patients receiving second-line CTx protocol.
Material and Methods:
We retrospectively reviewed the patients’ medical files with mPC who received second-line CTx protocol between September 2013 and December 2017. The GPS/mGPS graded from 0 to 2 based on C-reactive protein and serum albumin.
Results:
One hundred and sixty-nine patients with mPC were eligible. Survival of patients with Score 0 (GPS/mGPS) was better than that of Score 1 (GPS/mGPS) or Score 2 (GPS/mGPS), which was statistically significant (P < 0.001). Of 78 patients who died, only 16 patients belonged to Score 0 (GPS/mGPS), compared to 30 patients belonged to Score 1 (GPS/mGPS) and 32 patients belonged to Score 2 (GPS/mGPS). Univariate analysis showed that high GPS/mGPS (P < 0.000) as well as poor Eastern Cooperative Oncology Group Performance Status (P < 0.000) and metastasis either to the liver (P < 0.01) or lung (P < 0.04) were linked with worse prognosis. A statistically significant association was detected between the two scores. Cohen’s Kappa coefficient (k) was 0.9, SD = 0.03; 95% CI (0.787–0.922; P < 0.001).
Conclusion:
Our data suggested that GPS/mGPS is an easy and applicable index that may be used in daily practice and may help in the prognostic stratification of mPC patients to avert overtreatment in frail patients and raise the best supportive treatment concept.
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Affiliation(s)
| | - Omar Al-Zahrani
- Oncology Center, King Salman Armed Forces Hospital, Tabuk, Saudi Arabia,
| | - Fifi Mostafa Elsayed
- Department of Clinical Oncology and Nuclear Medicine, Faculty of Medicine Suez Canal, Suez, Egypt,
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20
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Zhi X, Kuang X, Li J. The Impact of Perioperative Events on Cancer Recurrence and Metastasis in Patients after Radical Gastrectomy: A Review. Cancers (Basel) 2022; 14:cancers14143496. [PMID: 35884557 PMCID: PMC9319233 DOI: 10.3390/cancers14143496] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Revised: 07/13/2022] [Accepted: 07/17/2022] [Indexed: 02/04/2023] Open
Abstract
Radical gastrectomy is a mainstay therapy for patients with locally resectable gastric cancer (GC). GC patients who are candidates for radical gastrectomy will experience at least part of the following perioperative events: surgery, anesthesia, pain, intraoperative blood loss, allogeneic blood transfusion, postoperative complications, and their related anxiety, depression and stress response. Considerable clinical studies have shown that these perioperative events can promote recurrence and decrease the long-term survival of GC patients. The mechanisms include activation of neural signaling and the inflammatory response, suppression of antimetastatic immunity, increased release of cancer cells into circulation, and delayed adjuvant therapy, which are involved in every step of the invasion-metastasis cascade. Having appreciated these perioperative events and their influence on the risk of GC recurrence, we can now use this knowledge to find strategies that might substantially prevent the deleterious recurrence-promoting effects of perioperative events, potentially increasing cancer-free survival in GC patients.
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Affiliation(s)
- Xing Zhi
- Department of General Surgery, Mianyang Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Mianyang 621000, China;
| | - Xiaohong Kuang
- Department of Hematology, The Third Hospital of Mianyang, Sichuan Mental Health Center, Mianyang 621000, China;
| | - Jian Li
- Department of General Surgery, The Third Hospital of Mianyang, Sichuan Mental Health Center, Mianyang 621000, China
- Correspondence: ; Tel.:+86-0816-2271901
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21
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Liu P, Jiang Y, Zheng X, Pan B, Xiang H, Zheng M. Pretreatment Systemic Immune-Inflammation Index Can Predict Response to Neoadjuvant Chemotherapy in Cervical Cancer at Stages IB2-IIB. Pathol Oncol Res 2022; 28:1610294. [PMID: 35570842 PMCID: PMC9092215 DOI: 10.3389/pore.2022.1610294] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/01/2022] [Accepted: 04/12/2022] [Indexed: 12/09/2022]
Abstract
Background: The systemic immune-inflammation index (SII) has been identified as a predictor of chemotherapy efficacy for a variety of cancers, and we aimed to determine its ability to predict the response to chemotherapy and its long-term prognosis for patients with cervical squamous cell carcinoma (CSCC) who have underwent platinum-based neoadjuvant chemotherapy (NACT). Methods: The date from 210 patients (133 in the training cohort and 77 in the validation cohort) with CSCC who received NACT were analyzed retrospectively. The association between SII and the pathological complete response (pCR) was determined using Pearson’s chi-square test, receiver operating characteristic (ROC) curve, and Logistic regression analysis. The Kaplan-Meier method and Cox proportional regression model were used to assess the relationship between SII and progression-free survival (PFS) or overall survival (OS). Results: The calculated optimal SII cutoff values for pCR and survival were 568.7051 and 600.5683, respectively, and patients were divided into two groups: a low SII group (≤568.7051 or ≤600.5683) and a high SII group (>568.7051 or >600.5683). A high SII was associated significantly with a lower pCR. Further analysis determined that SII was a more efficient predictor of pCR than the prognostic nutritional index, platelet-to-lymphocyte ratio, and lymphocyte-to-monocyte ratio. Upon multivariate logistic analysis, SII proved to be an independent risk factor to predict the pCR of patients with CSCC. Kaplan-Meier analysis demonstrated that PFS and OS rates were significantly higher in the low-SII group compared with those in the high-SII group. Additional multivariate analysis indicated that the SII is an independent prognostic factor for patients with CSCC treated with NACT. Conclusion: The results confirmed that the pre-treatment SII is not only an independent predictor of pCR but also an independent prognostic factor of CSCC patients treated with platinum based NACT.
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Affiliation(s)
- Pingping Liu
- Department of Gynecology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Yinan Jiang
- Department of Gynecology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Xiaojing Zheng
- Department of Gynecology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Baoyue Pan
- Department of Gynecology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Huiling Xiang
- Department of Gynecology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China
| | - Min Zheng
- Department of Gynecology, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Guangzhou, China
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22
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Cole KE, Ly QP, Hollingsworth MA, Cox JL, Fisher KW, Padussis JC, Foster JM, Vargas LM, Talmadge JE. Splenic and PB immune recovery in neoadjuvant treated gastrointestinal cancer patients. Int Immunopharmacol 2022; 106:108628. [PMID: 35203041 PMCID: PMC9009221 DOI: 10.1016/j.intimp.2022.108628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 02/07/2022] [Accepted: 02/13/2022] [Indexed: 11/21/2022]
Abstract
In recent years, immune therapy, notably immune checkpoint inhibitors (ICI), in conjunction with chemotherapy and surgery has demonstrated therapeutic activity for some tumor types. However, little is known about the optimal combination of immune therapy with standard of care therapies and approaches. In patients with gastrointestinal (GI) cancers, especially pancreatic ductal adenocarcinoma (PDAC), preoperative (neoadjuvant) chemotherapy has increased the number of patients who can undergo surgery and improved their responses. However, most chemotherapy is immunosuppressive, and few studies have examined the impact of neoadjuvant chemotherapy (NCT) on patient immunity and/or the optimal combination of chemotherapy with immune therapy. Furthermore, the majority of chemo/immunotherapy studies focused on immune regulation in cancer patients have focused on postoperative (adjuvant) chemotherapy and are limited to peripheral blood (PB) and occasionally tumor infiltrating lymphocytes (TILs); representing a minority of immune cells in the host. Our previous studies examined the phenotype and frequencies of myeloid and lymphoid cells in the PB and spleens of GI cancer patients, independent of chemotherapy regimen. These results led us to question the impact of NCT on host immunity. We report herein, unique studies examining the splenic and PB phenotypes, frequencies, and numbers of myeloid and lymphoid cell populations in NCT treated GI cancer patients, as compared to treatment naïve cancer patients and patients with benign GI tumors at surgery. Overall, we noted limited immunological differences in patients 6 weeks following NCT (at surgery), as compared to treatment naive patients, supporting rapid immune normalization. We observed that NCT patients had a lower myeloid derived suppressor cells (MDSCs) frequency in the spleen, but not the PB, as compared to treatment naive cancer patients and patients with benign GI tumors. Further, NCT patients had a higher splenic and PB frequency of CD4+ T-cells, and checkpoint protein expression, as compared to untreated, cancer patients and patients with benign GI tumors. Interestingly, in NCT treated cancer patients the frequency of mature (CD45RO+) CD4+ and CD8+ T-cells in the PB and spleens was higher than in treatment naive patients. These differences may also be associated, in part with patient stage, tumor grade, and/or NCT treatment regimen. In summary, the phenotypic profile of leukocytes at the time of surgery, approximately 6 weeks following NCT treatment in GI cancer patients, are similar to treatment naive GI cancer patients (i.e., patients who receive adjuvant therapy); suggesting that NCT may not limit the response to immune intervention and may improve tumor responses due to the lower splenic frequency of MDSCs and higher frequency of mature T-cells.
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Affiliation(s)
- Kathryn E Cole
- Department of Pathology and Microbiology, University of Nebraska Medical Center, Omaha, NE 68198 USA
| | - Quan P Ly
- Department of Surgery, University of Nebraska Medical Center, Omaha, NE 68198-4990, USA
| | - Michael A Hollingsworth
- Eppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, NE 68198-5950, USA
| | - Jesse L Cox
- Department of Pathology and Microbiology, University of Nebraska Medical Center, Omaha, NE 68198 USA
| | - Kurt W Fisher
- Department of Pathology and Microbiology, University of Nebraska Medical Center, Omaha, NE 68198 USA
| | - James C Padussis
- Department of Surgery, University of Nebraska Medical Center, Omaha, NE 68198-4990, USA
| | - Jason M Foster
- Department of Surgery, University of Nebraska Medical Center, Omaha, NE 68198-4990, USA
| | - Luciano M Vargas
- Department of Surgery, University of Nebraska Medical Center, Omaha, NE 68198-4990, USA
| | - James E Talmadge
- Department of Pathology and Microbiology, University of Nebraska Medical Center, Omaha, NE 68198 USA; Department of Internal Medicine, University of Nebraska Medical Center, Omaha, NE 68198, USA.
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23
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Shi H, Wang H, Pan J, Liu Z, Li Z. Comparing prognostic value of preoperative platelet indexes in patients with resectable gastric cancer. Sci Rep 2022; 12:6480. [PMID: 35444195 PMCID: PMC9021185 DOI: 10.1038/s41598-022-10511-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 04/08/2022] [Indexed: 12/14/2022] Open
Abstract
The ratio of mean platelet volume (MPV) to count (PC) (MPV/PC) has been applied in the diagnosis and prognosis of various malignancies. However, the prognostic value of MPV/PC in gastric cancer has not been studied yet. This study aims to explore the prognostic value of neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), combined neutrophil-platelet score (CNPS), systemic immune-inflammation index (SII) and MPV/PC in patients with resectable gastric cancer. In this study, the medical records of patients with gastric cancer in two centers were retrospectively analyzed. Kaplan-Meier and log-rank were tests applied to analyze the survival differences of patients with various inflammation indexes. A nomogram prognostic model was established to predict the 3- and 5-year survival rate of patients with resectable gastric cancer. In the two cohorts, Kaplan-Meier analysis that the postoperative survival time of gastric cancer patients with low MPV/PC, high NLR, high PLR and high SII was significantly shorter than that of patients with high MPV/PC, low NLR, low PLR or low SII. Compared with NLR, PLR, SII and CNPS, MPV/PC was more accurate in determining the prognosis of patients with gastric cancer than other indexes, and multivariate analysis confirmed that MPV/PC was an independent prognostic factor for patients with resectable gastric cancer. The nomogram model established based on tumor size, TNM stage and MPV/PC was more accurate than TNM stage in predicting the 3- and 5-year survival rate of patients with resectable gastric cancer. Preoperative MPV/PC is a new independent prognostic index and a potential marker for treatment response monitoring in patients with resectable gastric cancer. The nomogram model for postoperative prognosis of gastric cancer established based on MPV/PC, tumor size and TNM stage is helpful for developing more accurate and timely individualized therapeutic regimens.
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Affiliation(s)
- Hongtai Shi
- Department of Radiation Oncology, Affiliated Yancheng Hospital, School of Medicine, Southeast University, Yancheng Third People's Hospital, 75 Juchang Street, Yancheng, 224005, China
| | - Hongsheng Wang
- Department of Oncology, Affiliated Yancheng Hospital, School of Medicine, Southeast University, Yancheng Third People's Hospital, 75 Juchang Street, Yancheng, 224005, China
| | - Jie Pan
- Department of Interventional Radiology, Affiliated Yancheng Hospital, School of Medicine, Southeast University, Yancheng Third People's Hospital, 75 Juchang Street, Yancheng, 224005, China
| | - Zhenhua Liu
- Department of Radiotherapy, The Yancheng Clinical College of Xuzhou Medical University, The First People's Hospital of Yancheng, 66 Renmin Road, Yancheng, 224005, China.
| | - Zuoan Li
- Department of General Surgery, The Yancheng Clinical College of Xuzhou Medical University, The First People's Hospital of Yancheng, 66 Renmin Road, Yancheng, 224005, China.
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24
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Gao H, Wusiman L, Cao BW, Wujieke A, Zhang WB. The role of preoperative systemic immune-inflammation index in predicting the prognosis of patients with digestive tract cancers: A meta-analysis. Transpl Immunol 2022; 73:101613. [DOI: 10.1016/j.trim.2022.101613] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Revised: 04/23/2022] [Accepted: 04/26/2022] [Indexed: 12/01/2022]
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25
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Schiefer S, Wirsik NM, Kalkum E, Seide SE, Nienhüser H, Müller B, Billeter A, Büchler MW, Schmidt T, Probst P. Systematic Review of Prognostic Role of Blood Cell Ratios in Patients with Gastric Cancer Undergoing Surgery. Diagnostics (Basel) 2022; 12:diagnostics12030593. [PMID: 35328146 PMCID: PMC8947199 DOI: 10.3390/diagnostics12030593] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Revised: 02/17/2022] [Accepted: 02/23/2022] [Indexed: 01/19/2023] Open
Abstract
Various blood cell ratios exist which seem to have an impact on prognosis for resected gastric cancer patients. The aim of this systematic review was to investigate the prognostic role of blood cell ratios in patients with gastric cancer undergoing surgery in a curative attempt. A systematic literature search in MEDLINE (via PubMed), CENTRAL, and Web of Science was performed. Information on survival and cut-off values from all studies investigating any blood cell ratio in resected gastric cancer patients were extracted. Prognostic significance and optimal cut-off values were calculated by meta-analyses and a summary of the receiver operating characteristic. From 2831 articles, 65 studies investigated six different blood cell ratios (prognostic nutritional index (PNI), lymphocyte to monocyte ratio (LMR), systemic immune-inflammation index (SII), monocyte to lymphocyte ratio (MLR), neutrophil to lymphocyte ratio (NLR), and platelet to lymphocyte ratio (PLR)). There was a significant association for the PNI and NLR with overall survival and disease-free survival and for LMR and NLR with 5-year survival. The used cut-off values had high heterogeneity. The available literature is flawed by the use of different cut-off values hampering evidence-based patient treatment and counselling. This article provides optimal cut-off values recommendations for future research.
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Affiliation(s)
- Sabine Schiefer
- Department of General, Visceral and Transplantation Surgery, University of Heidelberg, Im Neuenheimer Feld 420, 69120 Heidelberg, Germany; (S.S.); (H.N.); (B.M.); (A.B.); (M.W.B.); (P.P.)
| | - Naita Maren Wirsik
- Department of General, Visceral, Cancer and Transplant Surgery, University Hospital Cologne, Kerpener Str. 62, 50937 Köln, Germany;
| | - Eva Kalkum
- The Study Center of the German Society of Surgery (SDGC), University of Heidelberg, Im Neuenheimer Feld 130/3, 69120 Heidelberg, Germany;
| | - Svenja Elisabeth Seide
- Institute of Medical Biometry (IMBI), University of Heidelberg, Im Neuenheimer Feld 130/3, 69120 Heidelberg, Germany;
| | - Henrik Nienhüser
- Department of General, Visceral and Transplantation Surgery, University of Heidelberg, Im Neuenheimer Feld 420, 69120 Heidelberg, Germany; (S.S.); (H.N.); (B.M.); (A.B.); (M.W.B.); (P.P.)
| | - Beat Müller
- Department of General, Visceral and Transplantation Surgery, University of Heidelberg, Im Neuenheimer Feld 420, 69120 Heidelberg, Germany; (S.S.); (H.N.); (B.M.); (A.B.); (M.W.B.); (P.P.)
| | - Adrian Billeter
- Department of General, Visceral and Transplantation Surgery, University of Heidelberg, Im Neuenheimer Feld 420, 69120 Heidelberg, Germany; (S.S.); (H.N.); (B.M.); (A.B.); (M.W.B.); (P.P.)
| | - Markus W. Büchler
- Department of General, Visceral and Transplantation Surgery, University of Heidelberg, Im Neuenheimer Feld 420, 69120 Heidelberg, Germany; (S.S.); (H.N.); (B.M.); (A.B.); (M.W.B.); (P.P.)
| | - Thomas Schmidt
- Department of General, Visceral and Transplantation Surgery, University of Heidelberg, Im Neuenheimer Feld 420, 69120 Heidelberg, Germany; (S.S.); (H.N.); (B.M.); (A.B.); (M.W.B.); (P.P.)
- Department of General, Visceral, Cancer and Transplant Surgery, University Hospital Cologne, Kerpener Str. 62, 50937 Köln, Germany;
- Correspondence: ; Tel.: +49-221-478-4804
| | - Pascal Probst
- Department of General, Visceral and Transplantation Surgery, University of Heidelberg, Im Neuenheimer Feld 420, 69120 Heidelberg, Germany; (S.S.); (H.N.); (B.M.); (A.B.); (M.W.B.); (P.P.)
- The Study Center of the German Society of Surgery (SDGC), University of Heidelberg, Im Neuenheimer Feld 130/3, 69120 Heidelberg, Germany;
- Department of Surgery, Cantonal Hospital Thurgau, Pfaffenholzstrasse 4, 8501 Frauenfeld, Switzerland
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26
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Kuang XH, Li J. Dilemma in selection of treatment for preoperative anemia in patients with gastric cancer. Shijie Huaren Xiaohua Zazhi 2022; 30:92-99. [DOI: 10.11569/wcjd.v30.i2.92] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
One of the common comorbidities of patients with gastric cancer waiting for gastrectomy is anemia, which negatively affects the postoperative outcomes and prognosis. Therefore, preoperative anemia often needs to be corrected. The most commonly used strategy to treat preoperative anemia in gastric cancer is transfusion. Currently, a large amount of evidence shows that transfusion can increase the incidence of postoperative complications and affect the long-term survival of patients. Therefore, there is a dilemma in choosing the treatment for preoperative anemia in patients with gastric cancer. Surgeons need to fully understand the duality of therapy strategies for preoperative anemia in gastric cancer patients. In this study, we review the studies on preoperative anemia and its treatment in patients with gastric cancer, aiming to help clinicians manage patients undergoing gastrectomy for cancer better.
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27
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Yekedüz E, Dogan İ, Kaya DM, Özgür İ, Utkan G, Vatansever S, Demirci S, Akbulut H, Ürün Y. Systemic Immune-Inflammation Index as a Prognostic Marker of Late Recurrence in Operable Gastric Cancer: a Dual-Center Study. J Gastrointest Cancer 2021; 53:870-879. [PMID: 34845631 DOI: 10.1007/s12029-021-00769-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/15/2021] [Indexed: 01/03/2023]
Abstract
AIM To evaluate the prognostic role of the systemic immune-inflammation index (SII) in patients with operable gastric cancer. METHODS We assessed 354 patients with operable gastric cancer from tertiary centers in Turkey. SII was calculated by following formula: [neutrophil (cells × 109/L) × platelet (cells × 109/L)]/lymphocyte (cells × 109/L). The best cut-off value for SII was determined by using "receiver operating characteristics (ROC)" analysis. We used log-rank and Cox-regression analysis for survival analyses. RESULTS One hundred twenty patients were in the late recurrence group (recurrences have developed 36 months after the surgery). SII was not a prognostic factor in the early recurrence group. However, relapse-free survival (RFS) was longer in SII-low patients than SII-high patients in the late recurrence group. In multivariable analysis, SII was the only independent prognostic factor for RFS in the late recurrence group (hazard ratio (HR): 5.42, 95% CI: 1.18-24.82, p = 0.03). CONCLUSION SII was an independent prognostic factor for RFS in GC patients with late recurrence. Late recurrence risk was higher in SII-high patients than SII-low patients. Inflammation contributes to tumor progression, invasion, and metastasis. Prolonged exposure to chronic inflammation could explain the results of this study.
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Affiliation(s)
- Emre Yekedüz
- Department of Medical Oncology, Faculty of Medicine, Ankara University, Ankara, Turkey.
- Ankara University Cancer Research Institute, Ankara, Turkey.
- Ankara Üniversitesi Tıp Fakültesi, Tıbbi Onkoloji Bilim Dalı Cebeci Hastanesi, 06590, Cebeci, Ankara, Turkey.
| | - İzzet Dogan
- Department of Medical Oncology, Istanbul University Institute of Oncology, Istanbul, Turkey
| | | | - İlker Özgür
- Department of General Surgery, Istanbul University Istanbul Medical Faculty, Istanbul, Turkey
| | - Güngör Utkan
- Department of Medical Oncology, Faculty of Medicine, Ankara University, Ankara, Turkey
- Ankara University Cancer Research Institute, Ankara, Turkey
| | - Sezai Vatansever
- Department of Medical Oncology, Istanbul University Institute of Oncology, Istanbul, Turkey
| | - Salim Demirci
- Ankara University Cancer Research Institute, Ankara, Turkey
- Department of Surgical Oncology, Faculty of Medicine, Ankara University, Ankara, Turkey
| | - Hakan Akbulut
- Department of Medical Oncology, Faculty of Medicine, Ankara University, Ankara, Turkey
- Ankara University Cancer Research Institute, Ankara, Turkey
| | - Yüksel Ürün
- Department of Medical Oncology, Faculty of Medicine, Ankara University, Ankara, Turkey
- Ankara University Cancer Research Institute, Ankara, Turkey
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The Value of the Systemic Immune-Inflammation Index in Predicting Survival Outcomes in Patients with Brain Metastases of Non-Small-Cell Lung Cancer Treated with Stereotactic Radiotherapy. Mediators Inflamm 2021; 2021:2910892. [PMID: 34744510 PMCID: PMC8570891 DOI: 10.1155/2021/2910892] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2021] [Accepted: 10/07/2021] [Indexed: 01/21/2023] Open
Abstract
Background As a parameter integrating platelet (P), neutrophil (N), and lymphocyte (L) levels, the systemic immune-inflammation index (SII) has been used as a prognostic marker for patient survival in various types of solid malignant tumors. However, there is no in-depth study in non-small-cell lung cancer (NSCLC) patients with brain metastases after stereotactic radiotherapy. Therefore, we performed a retrospective analysis to determine the clinical and prognostic value of the SII in NSCLC patients with brain metastases who underwent stereotactic radiotherapy. Materials and Methods We enrolled 124 NSCLC patients with brain metastases treated with stereotactic radiotherapy in our hospital between May 2015 and June 2018. We obtained all baseline blood samples within one week prior to stereotactic radiotherapy. The SII was calculated by the following formula: neutrophil counts × platelet counts/lymphocyte counts. The optimal cutoff value of the SII for predicting prognosis was assessed by receiver operating characteristic (ROC) curves with the maximum log-rank values. The discriminative ability of predicting prognosis was calculated and compared using the Kaplan–Meier method and log-rank test. The hazard ratio (HR) and 95% confidence interval (CI) were combined to evaluate the prognostic impact of the blood index on overall survival (OS) and progression-free survival (PFS). Only those parameters that proved to be associated with statistically significant differences in clinical outcomes were compared in multivariate analysis using a multiple Cox proportional hazard regression model to identify independent prognostic factors. Results Of the total enrolled patients, 53.2% and 46.8% have high SII and low SII, respectively. In this study, Kaplan–Meier curve analysis revealed that the median PFS was 9 months (range: 2–22 months) and the median OS was 18 months (range: 4–37 months). Applying an optimal cutoff of 480 (SII), the median PFS was better in the low SII group patients (11.5 vs. 9 months), and the median OS was significantly longer in the low SII group patients (20 vs. 18 months). A SII > 480 was significantly associated with worse OS (HR: 2.196; 95% CI 1.259–3.832; P = 0.006) and PFS (HR: 2.471; 95% CI 1.488–4.104; P < 0.001) according to univariate analysis. In multivariate analysis, only age (HR: 2.159; 95% CI 1.205–3.869; P = 0.010), KPS (HR: 1.887; 95% CI 1.114–3.198; P = 0.018), and SII (HR: 1.938; 95% CI 1.046–3.589; P = 0.035) were independently correlated with OS, and SII (HR: 2.224; 95% CI 1.298–3.810; P = 0.004) was an independent prognostic predictor of PFS, whereas we found that other inflammation-based indices lost their independent value. Conclusions The SII, which is an integrated blood parameter based on platelet, neutrophil, and lymphocyte counts, may be an independent prognostic indicator and may be useful for the identification of NSCLC patients with brain metastases after stereotactic radiotherapy at high risk for recurrence.
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Madhugiri VS, Subeikshanan V, Dutt A, Moiyadi A, Epari S, Shetty P, Gupta T, Jalali R, Dutt AK. Biomarkers of Systemic Inflammation in Patients with Glioblastoma: An Analysis of Correlation with Tumour-Related Factors and Survival. Neurol India 2021; 69:894-901. [PMID: 34507408 DOI: 10.4103/0028-3886.323885] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
Background Biomarkers of systemic inflammation (BMSIs), including haemogram cell counts (CC, e.g., absolute neutrophil count) and cell count-ratios (CCR, e.g., the neutrophil-lymphocyte ratio, etc.), have been found to have prognostic significance in many solid-organ cancers. Aims In this three-part study, we first examined if the CCs and CCRs were altered in patients with glioblastoma (GBM) when compared with healthy controls. Second, we evaluated for any correlation between the BMSIs and patient- and tumour-related factors. Third, we evaluated the influence of the CCs and CCRs on survival. Methods This was a retrospective analysis of patients who underwent surgery/biopsy for a newly diagnosed brain tumour that was subsequently confirmed to be GBM (Cases). Controls were healthy individuals who underwent pre-employment screening blood tests. Statistical Methods Parametric tests were used to compare normally distributed continuous variables, whereas non-normally distributed variables were compared using non-parametric tests. Thresholds for the BMSIs were determined using X-tile analysis. Cox regression using the proportional hazards model was used for survival analyses around the determined thresholds. Results All CCs and CCRs were altered in Cases compared with Controls. Presentation with raised intracranial pressure, altered sensorium, poor performance status, loss of ATRX, and lack of p53 overexpression was associated with an inflammatory phenotype of changes in the BMSIs. The inflammatory phenotype of changes was associated with poor survival. Conclusions A significant inflammatory response was found in patients with GBM and correlated with clinical features, the molecular profile of the tumour and poor survival.
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Affiliation(s)
- Venkatesh S Madhugiri
- Department of Neurosurgery, National Institute of Mental Health and Neuro Sciences, Bangalore, Karnataka, India
| | | | - Akshat Dutt
- Jawaharlal Institute of Postgraduate Medical Education and Research, Pondicherry, India
| | - Aliasgar Moiyadi
- Division of Neurosurgery, Neuro-Oncology Disease Management Group, Tata Memorial Centre, Mumbai, Maharashtra, India
| | - Sridhar Epari
- Department of Pathology, Neuro-Oncology Disease Management Group, Tata Memorial Centre, Mumbai, Maharashtra, India
| | - Prakash Shetty
- Division of Neurosurgery, Neuro-Oncology Disease Management Group, Tata Memorial Centre, Mumbai, Maharashtra, India
| | - Tejpal Gupta
- Department of Radiation Oncology, Neuro-Oncology Disease Management Group, Tata Memorial Centre, Mumbai, Maharashtra, India
| | - Rakesh Jalali
- Apollo Proton Cancer Centre, Chennai, Tamil Nadu, India
| | - Anil K Dutt
- Ispat General Hospital, Rourkela, Odisha, India
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Matsubara S, Mabuchi S, Takeda Y, Kawahara N, Kobayashi H. Prognostic value of pre-treatment systemic immune-inflammation index in patients with endometrial cancer. PLoS One 2021; 16:e0248871. [PMID: 33989285 PMCID: PMC8121307 DOI: 10.1371/journal.pone.0248871] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2020] [Accepted: 03/08/2021] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND The systemic immune-inflammation index (SII), which is calculated using absolute platelet, neutrophil, and lymphocyte counts, has recently attracted attentions as a prognostic indicator in patients with solid malignancies. In the current study, we retrospectively investigated the prognostic significance of pre-treatment SII among patients with endometrial cancer. METHOD Endometrial cancer patients treated at Nara medical university hospital between 2008 and 2018 were included in the current study. Receiver operating characteristic (ROC) curve was used to find the optimal SII cut-off values for 3-years progression free survival (PFS) and overall survival (OS). Then, the predictive abilities of SII and its superiority over neutrophil to lymphocyte ratio (NLR) and platelet to lymphocyte ratio (PLR) were investigated. Kaplan-Meier method was used to calculate the OS and PFS rates, and log-rank test was used to compare the survival rate between two groups. Univariate and multivariate Cox regression analysis were performed to identify risk factors for PFS and OS. RESULT A total of 442 patients were included in the current study. The cut-off value of SII for predicting PFS and OS were defined by ROC analysis as 931 and 910, respectively. Univariate analyses showed that elevated SII was associated with significantly shorter survival (p <0.001 for both PFS and OS). Cox regression analyses revealed that an advanced FIGO stage (p <0.001 for both PFS and OS) and an elevated SII (p = 0.014 for PFS, p = 0.011 for OS) are the independent prognostic factors for survival. When SII was compared with NLR and PLR, SII showed greater area under curve for predicting survival. CONCLUSION The SII is an independent prognostic factor in endometrial cancer patients, allowing more precise survival estimation than PLR or NLR.
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Affiliation(s)
- Sho Matsubara
- Department of Obstetrics and Gynecology, Nara Medical University, Kashihara, Nara, Japan
| | - Seiji Mabuchi
- Department of Obstetrics and Gynecology, Nara Medical University, Kashihara, Nara, Japan
| | - Yoshinori Takeda
- Department of Obstetrics and Gynecology, Nara Medical University, Kashihara, Nara, Japan
| | - Naoki Kawahara
- Department of Obstetrics and Gynecology, Nara Medical University, Kashihara, Nara, Japan
| | - Hiroshi Kobayashi
- Department of Obstetrics and Gynecology, Nara Medical University, Kashihara, Nara, Japan
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Fornarini G, Rebuzzi SE, Banna GL, Calabrò F, Scandurra G, De Giorgi U, Masini C, Baldessari C, Naglieri E, Caserta C, Manacorda S, Maruzzo M, Milella M, Buttigliero C, Tambaro R, Ermacora P, Morelli F, Nolè F, Astolfi C, Sternberg CN. Immune-inflammatory biomarkers as prognostic factors for immunotherapy in pretreated advanced urinary tract cancer patients: an analysis of the Italian SAUL cohort. ESMO Open 2021; 6:100118. [PMID: 33984678 PMCID: PMC8134706 DOI: 10.1016/j.esmoop.2021.100118] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2021] [Revised: 03/04/2021] [Accepted: 03/17/2021] [Indexed: 12/18/2022] Open
Abstract
Background Reliable and affordable prognostic and predictive biomarkers for urothelial carcinoma treated with immunotherapy may allow patients' outcome stratification and drive therapeutic options. The SAUL trial investigated the safety and efficacy of atezolizumab in a real-world setting on 1004 patients with locally advanced or metastatic urothelial carcinoma who progressed to one to three prior systemic therapies. Patients and methods Using the SAUL Italian cohort of 267 patients, we investigated the prognostic role of neutrophil-to-lymphocyte ratio (NLR) and systemic immune-inflammation index (SII) and the best performing one of these in combination with programmed death-ligand 1 (PD-L1) with or without lactate dehydrogenase (LDH). Previously reported cut-offs (NLR >3 and NLR >5; SII >1375) in addition to study-defined ones derived from receiver operating characteristic (ROC) analysis were used. Results The cut-off values for NLR and SII by the ROC analysis were 3.65 (sensitivity 60.4; specificity 63.0) and 884 (sensitivity 64.4; specificity 67.5), respectively. The median overall survival (OS) was 14.7 months for NLR <3.65 [95% confidence interval (CI) 9.9-not reached (NR)] versus 6.0 months for NLR ≥3.65 (95% CI 3.9-9.4); 14.7 months for SII <884 (95% CI 10.6-NR) versus 6.0 months for SII ≥884 (95% CI 3.7-8.6). The combination of SII, PD-L1, and LDH stratified OS better than SII plus PD-L1 through better identification of patients with intermediate prognosis (77% versus 48%, respectively). Multivariate analyses confirmed significant correlations with OS and progression-free survival for both the SII + PD-L1 + LDH and SII + PD-L1 combinations. Conclusion The combination of immune-inflammatory biomarkers based on SII, PD-L1, with or without LDH is a potentially useful and easy-to-assess prognostic tool deserving validation to identify patients who may benefit from immunotherapy alone or alternative therapies. Reliable biomarkers for immunotherapy may assist in treatment decision making and clinical trial design and interpretation. Immune-inflammatory biomarkers were investigated for their prognostic role within the Italian SAUL study cohort. ROC-based cut-offs were 3.65 for NLR and 884 for SII. Both NLR and SII were prognostic with SII performing slightly better than NLR. The combination of SII, PD-L1, and LDH stratified OS better than SII + PD-L1; both were independent prognostic factors.
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Affiliation(s)
- G Fornarini
- Medical Oncology Unit 1, IRCCS Ospedale Policlinico San Martino, Genova, Italy
| | - S E Rebuzzi
- Medical Oncology Unit 1, IRCCS Ospedale Policlinico San Martino, Genova, Italy; Department of Internal Medicine and Medical Specialties, University of Genoa, Genoa, Italy
| | - G L Banna
- Department of Oncology, Portsmouth Hospitals University NHS Trust, Portsmouth, UK
| | - F Calabrò
- Medical Oncology, Azienda Ospedaliera S. Camillo-Forlanini, Rome, Italy
| | - G Scandurra
- Medical Oncology, Azienda Ospedaliera Cannizzaro di Catania, Catania, Italy
| | - U De Giorgi
- Medical Oncology, Istituto Scientifico Romagnolo per lo Studio e la Cura dei Tumori (IRST) - IRCCS, Meldola, Italy
| | - C Masini
- Medical Oncology, AUSL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - C Baldessari
- Oncology, Azienda Ospedaliero - Universitaria di Modena, Modena, Italy
| | - E Naglieri
- Division of Medical Oncology, IRCCS Istituto Tumori Bari Giovanni Paolo II - IRCCS, Bari, Italy
| | - C Caserta
- Medical Oncology Unit, Azienda Ospedaliera S. Maria, Terni, Italy
| | - S Manacorda
- Medical Oncology, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy
| | - M Maruzzo
- Medical Oncology Unit 1, Department of Oncology, Istituto Oncologico Veneto, IOV-IRCCS, Padua, Italy
| | - M Milella
- Dipartimento di Oncologia, Policlinico Universitario G.B. Rossi Borgo Roma, Verona, Italy
| | - C Buttigliero
- Medical Oncology, Università degli Studi di Torino, Turin, Italy
| | - R Tambaro
- U.O.C di Oncologia Sperimentale Uroginecologica, I.N.T. IRCCS Fondazione G. Pascale, Naples, Italy
| | - P Ermacora
- Dipartimento di Oncologia, Azienda Ospedaliero Universitaria di Udine, Udine, Italy
| | - F Morelli
- Casa Sollievo della Sofferenza, S. Giovanni Rotondo, Foggia, Italy
| | - F Nolè
- IEO, Istituto Europeo di Oncologia IRCCS, Milan, Italy
| | - C Astolfi
- Medical Affairs & Clinical Operation, Roche S.p.A., Monza, Italy
| | - C N Sternberg
- Hematology and Oncology, Englander Institute for Precision Medicine Weill Cornell Medicine, New York-Presbyterian, New York, USA.
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Fu S, Yan J, Tan Y, Liu D. Prognostic value of systemic immune-inflammatory index in survival outcome in gastric cancer: a meta-analysis. J Gastrointest Oncol 2021; 12:344-354. [PMID: 34012630 DOI: 10.21037/jgo-20-252] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Background In recent years, many studies have reported that the systemic immune-inflammatory index (SII) can be used to predict the prognosis of cancer patients; however, this finding remains controversial in gastric cancer (GC). Therefore, the purpose of this study was to systematically and comprehensively probe the prognostic role of SII in GC. Methods Relevant publications were extracted from PubMed, EMBASE, Cochrane Library databases, and WANFANG DATA (Chinese database). The included studies had patients with pathologically confirmed GC and long-term follow-up data. The patient's outcome was death, recurrence, or status at the end of follow-up. The studies included randomized controlled tests, case-control studies, or cohort studies using a multivariate proportional hazard model adjusted for survival outcomes. Cochran's Q test and Higgins' I-squared statistic were performed to assess heterogeneity. Publication bias was assessed by visual inspection of a Begg's funnel plot. Results A total of 6,925 patients in 11 studies were included. The pooled hazard ratio (HR) indicated that a higher SII value was significantly associated with worse overall survival (OS) [HR: 1.53, 95% confidence interval (CI): 1.27-1.83] and worse disease-free survival (DFS) (HR: 1.57, 95% CI: 1.24-1.97) in GC patients. In the subgroup analysis, the HR was 1.72 (95% CI: 1.51-1.95) and 1.27 (95% CI: 0.96-1.67) in the group of patients aged <59 and ≥59 years, respectively. Conclusions The pooled HR indicates that a higher SII in younger patients with GC predicts a poor prognosis. In elderly patients with GC, the prognostic role of SII needs further research.
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Affiliation(s)
- Shifeng Fu
- Department of Gastroenterology, the Second Xiangya Hospital, Central South University, Changsha, China.,Research Center of Digestive Disease, Central South University, Changsha, China
| | - Jin Yan
- Department of Gastroenterology, the Second Xiangya Hospital, Central South University, Changsha, China.,Research Center of Digestive Disease, Central South University, Changsha, China
| | - Yuyong Tan
- Department of Gastroenterology, the Second Xiangya Hospital, Central South University, Changsha, China.,Research Center of Digestive Disease, Central South University, Changsha, China
| | - Deliang Liu
- Department of Gastroenterology, the Second Xiangya Hospital, Central South University, Changsha, China.,Research Center of Digestive Disease, Central South University, Changsha, China
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Qiu Y, Zhang Z, Chen Y. Prognostic Value of Pretreatment Systemic Immune-Inflammation Index in Gastric Cancer: A Meta-Analysis. Front Oncol 2021; 11:537140. [PMID: 33777726 PMCID: PMC7990885 DOI: 10.3389/fonc.2021.537140] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2020] [Accepted: 01/18/2021] [Indexed: 12/20/2022] Open
Abstract
Background Previous studies have investigated the role of systemic immune-inflammation index (SII) as a prognostic factor for gastric cancer (GC) patients, although with inconsistent results. Thus, the aim of this study was to identify the prognostic value of SII in GC through meta-analysis. Methods We systematically searched the PubMed, Embase, and Web of Science databases for relevant studies investigating the prognostic role of SII in GC up to December 2019. The hazard ratios (HRs) and 95% confidence intervals (CIs) related to overall survival (OS) and disease-free survival (DFS) were combined. Odds ratios (ORs) and 95% CIs were pooled to assess the correlation between SII and clinicopathological features of GC. Results A total of eight studies, comprising 4,236 patients, were included in this meta-analysis. Pooled analysis indicated that a high pretreatment SII predicted poor OS (HR=1.40, 95% CI=1.08–1.81, p=0.010) but not poor DFS (HR=1.30, 95% CI=0.92–1.83, p=0.140) in GC. In addition, an elevated SII correlated with an advanced tumor–node–metastasis stage (OR=2.34, 95% CI=1.40–3.92, p=0.001), T3–T4 stage (OR=2.25, 95% CI=1.34–3.77, p=0.002), positive lymph node metastasis (OR=1.79, 95% CI=1.12–2.87, p=0.016), and tumor size ≥ 5 cm (OR=2.28, 95% CI=1.62–3.22, p<0.001) in patients with GC. Conclusions A high pretreatment SII significantly associated with poorer survival outcomes as well as several clinical characteristics in GC. We suggest that SII could be monitored to guide prognostication and provide reliable information on the risk of disease progression in GC.
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Affiliation(s)
- Ye Qiu
- Clinical Laboratory, Huzhou Central Hospital, Affiliated Central Hospital of Huzhou University, Huzhou, China
| | - Zongxin Zhang
- Clinical Laboratory, Huzhou Central Hospital, Affiliated Central Hospital of Huzhou University, Huzhou, China
| | - Ying Chen
- Clinical Laboratory, Huzhou Central Hospital, Affiliated Central Hospital of Huzhou University, Huzhou, China
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Huang T, Zhang H, Zhao Y, Li Y, Wang G, Zhang Y, Guo D, Ji S, Sun Z. Systemic immune-inflammation index changes predict outcome in stage III non-small-cell lung cancer patients treated with concurrent chemoradiotherapy. Future Oncol 2021; 17:2141-2149. [PMID: 33635094 DOI: 10.2217/fon-2020-1272] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023] Open
Abstract
Background: Although the systemic immune-inflammation index (SII) has been used to predict recurrence and survival in non-small-cell lung cancer (NSCLC) patients, the prognostic significance of change in SII (ΔSII) is unclear for stage III NSCLC patients treated with concurrent chemoradiotherapy (CCRT). In the present study we aimed to explore the association between ΔSII and the clinical outcomes of 142 patients with stage III NSCLC treated with CCRT. Methods: A total of 142 patients were included in this retrospective study. The SII values were calculated based on laboratory data regarding platelet, neutrophil and lymphocyte counts, and ΔSII was calculated using data acquired before and approximately 2 weeks after CCRT. The receiver operating characteristic curve was used to determine the optimal cut-off value for the peripheral blood inflammation index. Kaplan-Meier analysis and Cox proportional regression were used to analyze the prognostic value of ΔSII for overall survival (OS) and progression-free survival (PFS). Results: The area under the receiver operating characteristic curve for ΔSII (0.708) was larger than those for pre-CCRT SII (0.578) and post-CCRT SII (0.610). The optimal cut-off point for ΔSII was defined as 43. OS and PFS were better in patients with low ΔSII and in multivariate analysis, the ΔSII was an independent predictor of OS and PFS (p = 0.006 and p = 0.017, respectively). Conclusions: ΔSII is related to progression and death in patients with stage III NSCLC. The ΔSII can provide a detailed prognostic prediction for stage III NSCLC.
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Affiliation(s)
- Taosheng Huang
- Department of Oncology, Yidu Central Hospital of Weifang City, Shandong, China
| | - Huanqian Zhang
- Department of Hepatology, Yidu Central Hospital of Weifang City, Shandong, China
| | - Yunzheng Zhao
- Department of Radiotherapy & Oncology, Sunshine Union Hospital, Shandong, China
| | - Yanping Li
- Department of Radiotherapy & Oncology, Sunshine Union Hospital, Shandong, China
| | - Guofeng Wang
- Department of Anesthesiology, Weifang People's Hospital, Shandong, China
| | - Yunbo Zhang
- Department of Oncology, Zibo Bashan Wangjie Hospital, Shandong, China
| | - Dong Guo
- Department of Radiotherapy & Oncology, Sunshine Union Hospital, Shandong, China
| | - Shengjun Ji
- Department of Radiotherapy & Oncology, The Affiliated Suzhou Hospital of Nanjing Medical University, Gusu School, Nanjing Medical University, Jiangsu, China
| | - Zhenyou Sun
- Department of Radiotherapy, Weifang No. 2 People's Hospital, Shandong, China
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Shang J, Han X, Zha H, Tao H, Li X, Yuan F, Chen G, Wang L, Ma J, Hu Y. Systemic Immune-Inflammation Index and Changes of Neutrophil-Lymphocyte Ratio as Prognostic Biomarkers for Patients With Pancreatic Cancer Treated With Immune Checkpoint Blockade. Front Oncol 2021; 11:585271. [PMID: 33718140 PMCID: PMC7943876 DOI: 10.3389/fonc.2021.585271] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Accepted: 01/07/2021] [Indexed: 12/26/2022] Open
Abstract
The efficacy of current treatment regimens for pancreatic cancer (PC) remains unsatisfactory. In recent years, immune checkpoint blockade (ICB) therapy has shown promising anti-tumor outcomes in many malignancies, including PC. Inexpensive and readily available biomarkers which predict therapeutic responses and prognosis are in critical need. Systemic immune-inflammation index (SII) and neutrophil-lymphocyte ratio (NLR) are emerging predictors for prognosis of various tumors. We aim to investigate the prognostic significance of baseline SII, NLR, and their changes in PC patients treated with ICB. Our retrospective analysis included PC patients treated with ICB therapy in the Chinese PLA General Hospital. All demographic, biological, and clinical data were extracted from medical records. Relative changes of SII after two doses of ICB were defined as ΔSII% and calculated as (SIIafter 2 doses-SIIbaseline)/SIIbaseline, and so was the case for ΔNLR%. Overall survival (OS) and progression-free survival (PFS) were compared using Kaplan-Meier curves. The prognostic significance of baseline SII, NLR, and their changes was assessed in univariate and multivariate analyses using the Cox proportional hazard regression model. In total, 122 patients with PC treated with ICB were included in the present analysis. Elevated baseline SII (HR=3.28; 95% CI:1.98–5.27; P=0.03) and ΔNLR% (HR=2.21; 95% CI:1.03–4.74; P=0.04) were significantly correlated with an increased risk of death. For PC patients receiving ICB combined with chemotherapies or radiotherapies as the first-line treatment, increased baseline SII was a negative predictor for both OS (HR=8.06; 95% CI:1.71–37.86; P=0.01) and PFS (HR=2.84; 95%CI:1.37–10.38; P=0.04). Our study reveals the prognostic value of baseline SII and NLR changes in PC patients receiving ICB therapy. The clinical utility of these prognostic biomarkers needs to be further studied in prospective studies.
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Affiliation(s)
- Jin Shang
- Department of Oncology, Chinese People's Liberation Army General Hospital, People's Liberation Army School of Medicine, Beijing, China.,Department of Health Service, Guard Bureau of the Joint Staff Department, Central Military Commission of People's Liberation Army, Beijing, China
| | - Xiao Han
- Department of Oncology, Chinese People's Liberation Army General Hospital, People's Liberation Army School of Medicine, Beijing, China
| | - Haoran Zha
- Department of Oncology, People's Liberation Army Rocket Force Characteristic Medical Center, Beijing, China
| | - Haitao Tao
- Department of Oncology, Chinese People's Liberation Army General Hospital, People's Liberation Army School of Medicine, Beijing, China
| | - Xiaoyan Li
- Department of Oncology, Chinese People's Liberation Army General Hospital, People's Liberation Army School of Medicine, Beijing, China
| | - Fang Yuan
- Department of Oncology, Chinese People's Liberation Army General Hospital, People's Liberation Army School of Medicine, Beijing, China
| | - Guangying Chen
- Department of Oncology, Chinese People's Liberation Army General Hospital, People's Liberation Army School of Medicine, Beijing, China
| | - Lijie Wang
- Department of Oncology, Chinese People's Liberation Army General Hospital, People's Liberation Army School of Medicine, Beijing, China
| | - Junxun Ma
- Department of Oncology, Chinese People's Liberation Army General Hospital, People's Liberation Army School of Medicine, Beijing, China
| | - Yi Hu
- Department of Oncology, Chinese People's Liberation Army General Hospital, People's Liberation Army School of Medicine, Beijing, China
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Neutrophil-to-Lymphocyte Ratio Is a Useful Marker for Predicting Histological Types of Early Gastric Cancer. J Clin Med 2021; 10:jcm10040791. [PMID: 33669317 PMCID: PMC7920243 DOI: 10.3390/jcm10040791] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2021] [Revised: 02/11/2021] [Accepted: 02/15/2021] [Indexed: 12/14/2022] Open
Abstract
Background: The indications for endoscopic submucosal dissection (ESD) for gastric cancer are based on preoperative histological assessment; however, examination of tissue biopsy is not always reliable as only a limited portion of the lesion can be obtained. The neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) are markers of inflammatory response and are potentially associated with the grade of malignancy in gastric cancer. We aimed to investigate the association between NLR and PLR and the histology of gastric cancer. Methods: This study included 218 patients who underwent ESD for gastric cancer. The relationship between NLR/PLR and histological diagnosis was investigated. Results: Patients with adenocarcinomas showed significantly higher NLR and PLR than those with adenomas (p < 0.001 and p < 0.05, respectively). Further, patients with undifferentiated adenocarcinoma showed a significantly higher NLR (p < 0.05) than those with differentiated adenocarcinoma. Conclusion: This study suggests that NLR could be a useful marker for assessing early gastric cancer.
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Analysis of Factors Associated with Long-Term Survival in Patients with Glioblastoma. World Neurosurg 2021; 149:e758-e765. [PMID: 33540096 DOI: 10.1016/j.wneu.2021.01.103] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Revised: 01/20/2021] [Accepted: 01/21/2021] [Indexed: 11/20/2022]
Abstract
BACKGROUND Some patients with glioblastoma multiforme (GBM) survive 3-5 years (or longer) after diagnosis. The goal of this study was to identify differences between the long-term survivors (LTS) and those who had a shorter overall survival (non-LTS groups). METHODS This study was a retrospective analysis of prospectively maintained surgical databases. All patients who underwent safe maximal resection for GBM were included. Demographic, clinical, radiologic, and pathologic data were obtained from electronic medical records. Values of the biomarkers of systemic inflammation were computed from the preoperative hemogram reports. Patients with an overall survival (OS) ≥36 months were defined as the LTS group and were compared with the non-LTS groups (OS<36 months). RESULTS Patients in the LTS group were younger, had a better baseline performance status, and were more likely to have undergone near- or gross-total resection. LTS was associated with lower Ki67 labeling, MGMT methylation, IDH mutation, and lack of p53 overexpression. Several novel findings were generated by this study. A longer pretreatment duration of symptoms was associated with a longer OS. Higher pretreatment levels of the absolute neutrophil count, neutrophil-lymphocyte ratio, monocyte-lymphocyte ratio, derived neutrophil-lymphocyte ratio and systemic index of inflammation, and lower levels of the absolute eosinophil count and eosinophil-lymphocyte ratio all correlated with a shorter OS. CONCLUSIONS Several differences were identified between the LTS and non-LTS groups. These differences will likely be incorporated into future prognostic models. They may also aid in differentiation between recurrent disease and treatment-related changes.
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The Ratio of the Hemoglobin to Red Cell Distribution Width Combined with the Ratio of Platelets to Lymphocytes Can Predict the Survival of Patients with Gastric Cancer Liver Metastasis. BIOMED RESEARCH INTERNATIONAL 2021; 2021:8729869. [PMID: 33506035 PMCID: PMC7814956 DOI: 10.1155/2021/8729869] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Revised: 12/09/2020] [Accepted: 12/15/2020] [Indexed: 02/06/2023]
Abstract
Background Hemoglobin/red cell distribution width (HR) and platelet/lymphocyte (PLR) ratios are considered effective prognostic markers in various cancers. We have proposed a new prognostic parameter: HR+PLR. The aim of this study is to explore the prognostic value of the HR+PLR scoring system in patients with gastric cancer liver metastasis. Methods This study retrospectively analyzed the clinical data of 306 patients with gastric cancer liver metastases admitted to our hospital from 2007 to 2014. According to the size of HR value and PLR value, we will divide the patients into three groups, namely, HR+PLR: (1) 0 points: HR > 1.02 and PLR < 128; (2) 1 point: HR > 1.02 and PLR > 128 and HR < 1.02 and PLR < 128; and (3) 2 points: HR < 1.02 and PLR > 128. Results The HR+PLR score was statistically different from age (P = 0.049), T stage (P < 0.001), N stage (P = 0.017), number of liver metastases (P = 0.018), gastrectomy (P < 0.001), hepatectomy (P = 0.001), peritoneal metastasis (P = 0.012), prognostic nutritional index (PNI) (P = 0.028), and neutrophil/lymphocyte ratio (NLR) (P = 0.045). The HR+PLR scoring system has a higher area under the ROC curve (AUC value) than PNI, PLR, HR, and PLR (AUC = 0.798, P < 0.001). In multivariate analysis, gastrectomy (P = 0.001), hepatectomy (P < 0.001), chemotherapy (P = 0.014), and HR+PLR score (P < 0.001) were considered independent prognostic factors. Conclusion For patients with gastric cancer liver metastasis, the HR+PLR score is a simple, reliable, and economic prognostic marker.
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Chen Y, Liu D, Xiao J, Xiang J, Liu A, Chen S, Liu J, Hu X, Peng J. Nomogram for Predicting Survival in Advanced Gastric Cancer after Neoadjuvant Chemotherapy and Radical Surgery. Gastroenterol Res Pract 2021; 2021:2923700. [PMID: 34367276 PMCID: PMC8337164 DOI: 10.1155/2021/2923700] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Revised: 06/09/2021] [Accepted: 07/10/2021] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND Neoadjuvant chemotherapy (NAC) with subsequent radical surgery has become a popular treatment modality for advanced gastric cancer (AGC) worldwide. However, the survival benefit is still controversial, and prognostic factors remain undetermined. AIM To identify clinical parameters that are associated with the survival of AGC patients after NAC and radical surgery and to establish a nomogram integrating multiple factors to predict survival. METHODS We reviewed the medical profiles of 215 AGC patients who received NAC and radical resection, and clinical parameters concerning NAC, surgery, pathological findings, and adjuvant chemotherapy were analyzed using a Cox regression model to determine their impact on survival. Based on these factors, a nomogram was developed and validated. RESULTS The overall 1-year and 3-year survival rates were 85.8% and 55.6%, respectively. Younger age (<60 years old), increased examined lymph nodes (exLNs), successful R0 resection, the achievement of pathological complete response (pCR), and acceptance of adjuvant chemotherapy were positive predictors of survival. The C-index of the established nomogram was 0.785. The area under receiver operating curve (ROC) at 1/3 years of prediction was 0.694/0.736, respectively. The model showed an ideal calibration following internal bootstrap validation. CONCLUSION A nomogram predicting survival after NAC and surgery was established. Since this nomogram exhibited satisfactory and stable predictive power, it can be inferred that this is a practical tool for predicting AGC patient survival after NAC and radical surgery.
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Affiliation(s)
- Yonghe Chen
- Department of Gastric Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510655, China
- Guangdong Institute of Gastroenterology, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Guangzhou 510655, China
| | - Dan Liu
- Department of Laboratory Science, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou 510105, China
| | - Jian Xiao
- Guangdong Institute of Gastroenterology, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Guangzhou 510655, China
- Department of Medical Oncology, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510655, China
| | - Jun Xiang
- Department of Gastric Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510655, China
- Guangdong Institute of Gastroenterology, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Guangzhou 510655, China
| | - Aihong Liu
- Department of Gastric Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510655, China
- Guangdong Institute of Gastroenterology, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Guangzhou 510655, China
| | - Shi Chen
- Department of Gastric Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510655, China
- Guangdong Institute of Gastroenterology, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Guangzhou 510655, China
| | - Junjie Liu
- Department of Gastric Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510655, China
- Guangdong Institute of Gastroenterology, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Guangzhou 510655, China
| | - Xiansheng Hu
- Department of Gastric Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510655, China
- Guangdong Institute of Gastroenterology, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Guangzhou 510655, China
| | - Junsheng Peng
- Department of Gastric Surgery, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510655, China
- Guangdong Institute of Gastroenterology, Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, Guangzhou 510655, China
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Yu Y, Xu S, Cao S. High systemic immune-inflammation index is a predictor of poor prognosis in patients with nonsmall cell lung cancer and bone metastasis. J Cancer Res Ther 2021; 17:1636-1642. [DOI: 10.4103/jcrt.jcrt_176_21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
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Jakubowska K, Koda M, Kisielewski W, Kańczuga-Koda L, Grudzińska M, Famulski W. Pre- and postoperative neutrophil and lymphocyte count and neutrophil-to-lymphocyte ratio in patients with colorectal cancer. Mol Clin Oncol 2020; 13:56. [PMID: 32905328 DOI: 10.3892/mco.2020.2126] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2019] [Accepted: 06/05/2020] [Indexed: 12/14/2022] Open
Abstract
Colorectal cancer (CRC) is one of the most common malignant cancers worldwide. Patients with CRC are diagnosed based on various predictors, including performance status, clinicopathological factors and TNM classification. The aim of the present study was to analyze the neutrophil and lymphocyte counts, as well as the neutrophil-to-lymphocyte ratio (NLR) in pre- and postoperative blood samples of patients with CRC in correlation with specific anatomical variables and disease- free survival (DFS). The variables pre- and postoperative neutrophil count (preNEU and postNEU, respectively), lymphocyte count and NLR were significantly higher in cancer patients than those noted in healthy subjects (all P<0.001). PreNEU count correlated with tumor size, necrosis and tumor budding (R=0.204, P=0.014; R=0.189, P=0.023; R=-0.174, P=0.036, respectively). Moreover, postNEU was associated only with the histological type (R=0.174; P=0.047). The PreLYMPH count was correlated with distant metastasis (R=-0.153, P=0.046). PreNLR and postNLR were associated with the expression of various histological markers of disease progression. Analysis of DFS indicated that the postNEU count in the low group exhibited a tendency to lower DFS duration, although the results were not significant (P=0.055). In conclusion, the present study indicated a significant correlation between the factors analyzed in blood samples of CRC patients and the disease progression markers.
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Affiliation(s)
- Katarzyna Jakubowska
- Department of Pathomorphology, Comprehensive Cancer Center, Medical University of Bialystok, 15-027 Bialystok, Poland
| | - Mariusz Koda
- Department of General Pathomorphology, Medical University of Bialystok, 15-296 Bialystok, Poland
| | - Wojciech Kisielewski
- Department of Medical Pathomorphology, Medical University of Bialystok, 15-296 Bialystok, Poland
| | - Luiza Kańczuga-Koda
- Department of Pathomorphology, Comprehensive Cancer Center, Medical University of Bialystok, 15-027 Bialystok, Poland
| | - Małgorzata Grudzińska
- Department of General Pathomorphology, Medical University of Bialystok, 15-296 Bialystok, Poland
| | - Waldemar Famulski
- Department of Pathomorphology, Comprehensive Cancer Center, Medical University of Bialystok, 15-027 Bialystok, Poland.,Department of Medical Pathomorphology, Medical University of Bialystok, 15-296 Bialystok, Poland
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Zhou D, Wu Y, Zhu Y, Lin Z, Yu D, Zhang T. The Prognostic Value of Neutrophil-to-lymphocyte Ratio and Monocyte-to-lymphocyte Ratio in Metastatic Gastric Cancer Treated with Systemic Chemotherapy. J Cancer 2020; 11:4205-4212. [PMID: 32368303 PMCID: PMC7196266 DOI: 10.7150/jca.39575] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2019] [Accepted: 03/27/2020] [Indexed: 02/06/2023] Open
Abstract
Background: The prognostic value of neutrophil-to-lymphocyte ratio (NLR) and monocyte-to-lymphocyte ratio (MLR) in metastatic gastric cancer (mGC) treated with systemic chemotherapy is largely unknown, especially second-line chemotherapy. We retrospectively investigated the prognostic value of baseline NLR and MLR in the progression of mGC with systemic chemotherapy. Methods: Patients with mGC diagnosed by pathology from January 2010 to December 2018 were identified. Baseline NLR and MLR were collected before treatment. The time to progression during or after first-line therapy from diagnosis (PFS1), and during or after second-line chemotherapy (PFS2) were primary endpoint. Overall survival (OS) was calculated from diagnosis to the date of death or final follow-up. Results: 537 patients with first-line chemotherapy were included in the retrospective study. The cutoff values of NLR and MLR were 2.610 and 0.285, respectively. Pretreatment NLR and MLR were significantly independent prognostic factors for PFS1 (hazard ratio [HR]=1.597, 95% CI 1.261-2.022, P<0.001 and HR=1.574, 95% CI 1.239-1.999, P<0.001) and OS (HR=1.448, 95% CI 1.030-2.034, P=0.033 and HR=1.622, 95% CI 1.148-2.291, P=0.006). For 172 patients treated with second-line chemotherapy, the cutoff value of MLR was 0.355 and MLR maintained a significant association with PFS2 (HR=1.589, 95% CI 1.073-2.354, P=0.021) in multivariate analysis. Conclusions: Elevated NLR and MLR were markedly related to the worse PFS1 and OS in mGC performed with first-line chemotherapy. In patients with second-line therapy, MLR was more closely connected to prognosis and was a significantly independent prognostic factor for PFS2.
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Affiliation(s)
- Danyang Zhou
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.,Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng East Rd, Guangzhou, 510060, China
| | - Ying Wu
- Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, 651 Dongfeng East Rd, Guangzhou, 510060, China
| | - Ying Zhu
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Zhenyu Lin
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Dandan Yu
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Tao Zhang
- Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
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Zhu Z, Gong YB, Xu HM. Neoadjuvant therapy strategies for advanced gastric cancer: Current innovations and future challenges. Chronic Dis Transl Med 2020; 6:147-157. [PMID: 32908968 PMCID: PMC7451732 DOI: 10.1016/j.cdtm.2020.03.004] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2019] [Indexed: 12/15/2022] Open
Abstract
Gastric cancer, which has a high incidence and poor prognosis, remains a therapeutic challenge. Recently, neoadjuvant therapy has attracted increasing attention due to high recurrence rate and low survival rate after resection in most patients with advanced stage. Clinical trials show that neoadjuvant approaches confer a significant survival advantage for resectable locally advanced gastric cancer. The specific advantages of chemoradiotherapy compared with chemotherapy have not been clarified; optimal regimens and cycles, particularly in the preoperative setting, should be studied further; and trials aimed at determining the role of targeted and immunological therapies should be conducted.
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Affiliation(s)
- Zhi Zhu
- Department of Surgical Oncology, The First Hospital of China Medical University, Shenyang, Liaoning 110001, China
| | - Ying-Bo Gong
- Department of Surgical Oncology, The First Hospital of China Medical University, Shenyang, Liaoning 110001, China
| | - Hui-Mian Xu
- Department of Surgical Oncology, The First Hospital of China Medical University, Shenyang, Liaoning 110001, China
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Yang S, Wu C, Wang L, Shan D, Chen B. Pretreatment inflammatory indexes as prognostic predictors for survival in osteosarcoma patients. INTERNATIONAL JOURNAL OF CLINICAL AND EXPERIMENTAL PATHOLOGY 2020; 13:515-524. [PMID: 32269690 PMCID: PMC7137012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 01/02/2020] [Accepted: 02/06/2020] [Indexed: 06/11/2023]
Abstract
Pretreatment inflammatory indexes including neutrophil-lymphocyte ratio (NLR), lymphocyte-monocyte ratio (LMR), platelet-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII) are associated with poor outcomes in various malignant tumors, but their prognostic value in patients with osteosarcoma is poorly known. This was a retrospective study of patients with osteosarcoma treated between 01/2010 and 12/2013 at Chongqing University Cancer Hospital. Follow-up was calculated from the date of initial histological diagnosis to December 2018 or death or loss of follow-up. Receiver operating characteristic (ROC) analysis was used to determine the NLR, LMR, PLR, and SII cut-off values (low (L) vs. high (H)). The Kaplan-Meier method was used for survival analysis. Univariable and multivariable Cox analyses were performed to determine the independent prognostic factors. Patients with LNLR had better survival than those with HNLR (median, 38.0 vs. 13.0, P<0.001). Patients with LSII had better survival (26.0 vs. 10.0 months, P=0.001) than those with HSII. The areas under the curves for NLR, LMR, PLR, SII, and ALP were 0.761 (P<0.001), 0.683 (P=0.012), 0.697 (P=0.002), 0.653 (P=0.031), and 0.515 (P=0.837), respectively. In the univariable analyses, Enneking's stage, systemic chemotherapy, surgery, NLR, PLR, LMR, and SII were associated with overall survival (OS). The multivariable analysis showed that HNLR (HR=2.507; 95% CI=1.364-4.606; P=0.003) was independent unfavorable prognostic factors. This preliminary study suggests that NLR is associated with poor prognosis in osteosarcoma. NLR could be a potential prognostic marker of osteosarcoma.
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Affiliation(s)
- Songwei Yang
- Department of Bone and Soft Tissue Tumor, Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer HospitalChongqing 400030, China
| | - Chuncao Wu
- Department of Pharmacy, Chongqing Traditional Chinese Medicine HospitalChongqing 400021, China
| | - Liang Wang
- Department of Bone and Soft Tissue Tumor, Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer HospitalChongqing 400030, China
| | - Dongli Shan
- Department of Bone and Soft Tissue Tumor, Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer HospitalChongqing 400030, China
| | - Biao Chen
- Department of Bone and Soft Tissue Tumor, Chongqing University Cancer Hospital & Chongqing Cancer Institute & Chongqing Cancer HospitalChongqing 400030, China
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Qin R, Yang Y, Chen H, Qin W, Han J, Gu Y, Pan Y, Cheng X, Zhao J, Wang X, Ren S, Sun Y, Gu J. Prediction of neoadjuvant chemotherapeutic efficacy in patients with locally advanced gastric cancer by serum IgG glycomics profiling. Clin Proteomics 2020; 17:4. [PMID: 32042279 PMCID: PMC7003487 DOI: 10.1186/s12014-020-9267-8] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2018] [Accepted: 01/25/2020] [Indexed: 12/12/2022] Open
Abstract
Background Neoadjuvant chemotherapy (NACT) could improve prognosis and survival quality of patients with local advanced gastric cancer (LAGC) by providing an opportunity of radical operation for them. However, no effective method could predict the efficacy of NACT before surgery to avoid the potential toxicity, time-consuming and economic burden of ineffective chemotherapy. Some research has been investigated about the correlation between serum IgG glycosylation and gastric cancer, but the question of whether IgG glycome can reflect the tumor response to NACT is still unanswered. Method Serum IgG glycome profiles were analyzed by Ultra Performance Liquid Chromatography in a cohort comprised of 49 LAGC patients of which 25 were categorized as belonging to the NACT response group and 24 patients were assigned to the non-response group. A logistic regression model was constructed to predict the response rate incorporating clinical features and differential N-glycans, while the precision of model was assessed by receiver operating characteristic (ROC) analysis. Results IgG N-glycome analysis in pretreatment serum of LAGC patients comprises 24 directly detected glycans and 17 summarized traits. Compared with IgG glycans of non-response group, agalactosylated N-glycans increased while monosialylated N-glycans and digalactosylated N-glycans decreased in the response group. We constructed a model combining patients' age, histology, chemotherapy regimen, GP4(H3N4F1), GP6(H3N5F1), and GP18(H5N4F1S1), and ROC analysis showed this model has an accurate prediction of NACT response (AUC = 0.840) with the sensitivity of 64.00% and the specificity of 100%. Conclusion We here firstly present the profiling of IgG N-glycans in pretreatment serum of LAGC. The alterations in IgG N-glycome may be personalized biomarkers to predict the response to NACT in LAGC and help to illustrate the relationship between immunity and effect of NACT.
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Affiliation(s)
- Ruihuan Qin
- 1NHC Key Laboratory of Glycoconjugates Research, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai, 200032 China.,Chinese Institute for Brain Research, Beijing, 102206 China
| | - Yupeng Yang
- 3Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032 China
| | - Hao Chen
- 3Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032 China
| | - Wenjun Qin
- 1NHC Key Laboratory of Glycoconjugates Research, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai, 200032 China
| | - Jing Han
- 1NHC Key Laboratory of Glycoconjugates Research, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai, 200032 China
| | - Yong Gu
- 1NHC Key Laboratory of Glycoconjugates Research, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai, 200032 China
| | - Yiqing Pan
- 1NHC Key Laboratory of Glycoconjugates Research, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai, 200032 China
| | - Xi Cheng
- 4Department of Medical Oncology, Zhongshan Hospital, Fudan University, Shanghai, 200032 China
| | - Junjie Zhao
- 3Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032 China
| | - Xuefei Wang
- 3Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032 China
| | - Shifang Ren
- 1NHC Key Laboratory of Glycoconjugates Research, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai, 200032 China
| | - Yihong Sun
- 3Department of General Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032 China
| | - Jianxin Gu
- 1NHC Key Laboratory of Glycoconjugates Research, Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Fudan University, Shanghai, 200032 China
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Wang C, Jin S, Xu S, Cao S. High Systemic Immune-Inflammation Index (SII) Represents an Unfavorable Prognostic Factor for Small Cell Lung Cancer Treated with Etoposide and Platinum-Based Chemotherapy. Lung 2020; 198:405-414. [PMID: 32016563 DOI: 10.1007/s00408-020-00333-6] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2019] [Accepted: 01/24/2020] [Indexed: 12/31/2022]
Abstract
PURPOSE Systemic immune-inflammation index (SII) has been demonstrated to be closely associated with prognosis of a series of solid tumors. However, its role in small cell lung cancer (SCLC) remains poorly understood. The present study aims to evaluate the prognostic significance of pretreatment SII in SCLC treated with etoposide and platinum-based chemotherapy. METHODS Sixty hundred and fifty-three newly diagnosed SCLC patients were enrolled. The optimal cut-off values for SII and LDH (lactate dehydrogenase) were obtained by a receiver operating characteristic (ROC) curve analysis. Overall survival (OS) was assessed by univariate and multivariate analyses. RESULTS The optimal cut-off values of pretreatment SII and LDH were 748.51 × 109/L and 188.5 U/L, respectively. High pretreatment SII was significantly associated with advanced tumor stage (limited disease, LD vs. extensive disease, ED; 26.3% vs 46.5%; p < 0.001). On univariate analysis, age < 65 years, female, non-smoker, limited disease, SII < 748.51 × 109/L, LDH < 188.5 U/L, distant metastasis numbers < 2, chemotherapy + radiotherapy, and chemotherapy + surgery were closely correlated with a prolonged OS (p < 0.05). The median OS for patients in high SII group was 12.0 months, compared with that of 17.0 months for patients in low SII group. Multivariate analysis showed smoking history (p = 0.014), tumor stage (p < 0.001), pretreatment SII (p < 0.001), LDH (p = 0.002), distant metastasis numbers (p = 0.006), and chemotherapy + radiotherapy (p < 0.001) were independent prognostic factors of OS. Furthermore, SII remained prognostic significance for SCLC stratified by variable subgroups analysis. CONCLUSION Pretreatment SII represents a powerful prognostic biomarker for SCLC patients treated with etoposide and platinum-based chemotherapy. It is significant for treatment strategy making in clinics.
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Affiliation(s)
- Chunyan Wang
- Department of Medical and Radiation Oncology, Linyi People's Hospital, 27 Jie Fang Road, Linyi, 276003, Shandong, China
| | - Shi Jin
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, 518116, China
| | - Shanqi Xu
- Department of Medical Oncology, Harbin Medical University Cancer Hospital, Harbin, Heilongjiang, China
| | - Shoubo Cao
- Department of Medical and Radiation Oncology, Linyi People's Hospital, 27 Jie Fang Road, Linyi, 276003, Shandong, China.
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Chen L, Kong X, Wang Z, Wang X, Fang Y, Wang J. Pre-treatment systemic immune-inflammation index is a useful prognostic indicator in patients with breast cancer undergoing neoadjuvant chemotherapy. J Cell Mol Med 2020; 24:2993-3021. [PMID: 31989747 PMCID: PMC7077539 DOI: 10.1111/jcmm.14934] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2019] [Accepted: 12/09/2019] [Indexed: 12/12/2022] Open
Abstract
The systemic immune‐inflammation index (SII = N × P/L) based on neutrophil (N), platelet (P) and lymphocyte (L) counts is used to predict the survival of patients with malignant tumours and can fully reflect the balance between host inflammatory and immune status. This study is conducted to explore the potential prognostic significance of SII in patients with breast cancer undergoing neoadjuvant chemotherapy (NACT). A total of 262 patients with breast cancer received NACT were enrolled in this study. According to the receiver operating characteristic curve, the optimal cut‐off value of SII was divided into two groups: low SII group (<602 × 109/L) and high SII group (≥602 × 109/L). The associations between breast cancer and clinicopathological variables by SII were determined by chi‐squared test or Fisher's exact test. The Kaplan‐Meier plots and log‐rank test were used to determine clinical outcomes of disease‐free survival (DFS) and overall survival (OS). The prognostic value of SII was analysed by univariate and multivariate Cox proportional hazards regression models. The toxicity of NACT was accessed by National Cancer Institute Common Toxicity Criteria (NCICTC). According to univariate and multivariate Cox regression survival analyses, the results showed that the value of SII had prognostic significance for DFS and OS. The patients with low SII value had longer DFS and OS than those with high SII value (31.11 vs 40.76 months, HR: 1.075, 95% CI: 0.718‐1.610, P = .006; 44.47 vs 53.68 months, HR: 1.051, 95% CI: 0.707‐1.564, P = .005, respectively). The incidence of DFS and OS in breast cancer patients with low SII value was higher than that in those patients with high SII value in 3‐, 5‐ and 10‐year rates. The common toxicities after NACT were haematological and gastrointestinal reaction, and there were no differences by SII for the assessment of side effects of neoadjuvant chemotherapy. Meanwhile, the results also proved that breast cancer patients with low SII value and high Miller and Payne grade (MPG) survived longer than those breast cancer with high SII value and low MPG grade. In patients without lymph vessel invasion, these breast cancer patients with low SII value had better prognosis and lower recurrence rates than those with high SII value. Pre‐treatment SII with the advantage of reproducible, convenient and non‐invasive was a useful prognostic indicator for breast cancer patients undergoing neoadjuvant chemotherapy and is a promising biomarker for breast cancer on treatment strategy decisions.
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Affiliation(s)
- Li Chen
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiangyi Kong
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Zhongzhao Wang
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiangyu Wang
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yi Fang
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Jing Wang
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Jiang L, Fang J, Ding J. High Systemic Immune-Inflammation Index Predicts Poor Survival in Patients with Human Epidermal Growth Factor Receptor-2 Positive Breast Cancer Receiving Adjuvant Trastuzumab. Cancer Manag Res 2020; 12:475-484. [PMID: 32021460 PMCID: PMC6982528 DOI: 10.2147/cmar.s231444] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2019] [Accepted: 12/24/2019] [Indexed: 12/14/2022] Open
Abstract
Purpose Neutrophils and platelets have been described as tumor-promoting factors, but lymphocytes have been described as tumor-inhibiting factors. The prognostic values of the neutrophil-to-lymphocyte ratio (NLR), and platelet-to-lymphocyte ratio (PLR) have been explored in human epidermal growth factor receptor (HER2)-positive breast cancer, however, the value of the systemic immune- inflammation index (SII) has not been studied in this molecular subtype. Our study aimed to compare the prognostic values of these inflammation-based indexes in Chinese HER2-positive breast cancer patients who received adjuvant trastuzumab. Methods A total of 147 HER2-positive breast cancer patients were retrospectively analyzed. The association between clinicopathological factors and inflammation-based indexes was investigated. The Kaplan-Meier method was used to evaluate overall survival (OS) and disease-free survival (DFS); the Log rank test was performed to comparatively evaluate the survivals between the high-value and low-value groups. Multivariate Cox regression analysis was used to identify independent prognostic factors. Results The SII value correlated significantly with histological grade (HG)(p=0.016). The cut-off values determined by ROC analysis for the NLR, PLR and SII were 1.69, 110 and 442, and the corresponding areas under the curves (AUCs) were 0.621, 0.639 and 0.674, respectively. The 5-year DFS was significantly lower in the NLR-high than in the NLR-low group (75.8% vs. 90.7%, p<0.01), in the PLR-high than in the PLR-low group (76.7% vs. 90.6%, p<0.01) and in the SII-high than in the SII-low group (66.8% vs. 90.7%, p<0.01). The 5-year OS was significantly lower in the PLR-high than in the PLR-low group (83.2% vs. 100%, p=0.035) and in the SII-high than in the SII-low group (77.3% vs. 96.4%, p=0.012). A multivariate regression model revealed that tumor size, lymph node involvement, HG, hormone receptor status, PLR and SII were independently correlated with DFS; lymph node involvement and SII were independently correlated with OS. Conclusion Our study suggests that SII is an independent prognostic factor for DFS and OS in HER2-positive breast cancer, and in terms of prognostic reliability, the SII is superior to other inflammation-based indexes.
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Affiliation(s)
- Li Jiang
- Department of General Practice, Ningbo Medical Center Lihuili Hospital/Taipei Medical University Ningbo Medical Center, Ningbo, Zhejiang 315000, People's Republic of China.,Department of Emergency, Ningbo Medical Center Lihuili Hospital/Taipei Medical University Ningbo Medical Center, Ningbo, Zhejiang 315000, People's Republic of China
| | - Jianjiang Fang
- Department of Emergency, Ningbo Medical Center Lihuili Hospital/Taipei Medical University Ningbo Medical Center, Ningbo, Zhejiang 315000, People's Republic of China
| | - Jinhua Ding
- Department of Breast and Thyroid Surgery, Ningbo Medical Center Lihuili Hospital/Taipei Medical University Ningbo Medical Center, Ningbo, Zhejiang 315000, People's Republic of China
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The ratio of hemoglobin to red cell distribution width predicts survival in patients with gastric cancer treated by neoadjuvant FLOT: a retrospective study. Ir J Med Sci 2019; 189:91-102. [PMID: 31832860 DOI: 10.1007/s11845-019-02153-x] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Accepted: 11/22/2019] [Indexed: 12/24/2022]
Abstract
BACKGROUND Hemoglobin (HB) and red cell distribution width (RDW) are known to be prognostic in many cancer types. The HB-RDW ratio (HRR) is a new biomarker that has been shown to be predictive in some cancer types. However, the prognostic significance of HRR in patients with gastric cancer (GC) is unknown. AIMS In this study, we aimed to demonstrate the prognostic importance of HRR in GC patients treated with neoadjuvant fluorouracil, leucovorin, oxaliplatin, docetaxel (FLOT). METHODS Eighty-five GC patients who were treated with neoadjuvant FLOT in our center were included in the study, retrospectively. Associations between clinical and histopathological parameters with disease-free survival (DFS) and overall survival (OS) were analyzed using Kaplan-Meier curves and compared by the log-rank test. The optimal cutoff values were determined by a receiver operating characteristic (ROC) curve analysis. Neutrophil-lymphocyte ratio (NLR), systemic immune-inflammation index (SII), and HRR were grouped based on a cutoff points 3.05, 802, and 0.89, respectively. Univariate and multivariate analyses were used to assess their prognostic values for DFS and OS. RESULTS Low NLR, low SII, and high HRR were found to be associated with longer DFS/OS. In univariate analysis, Eastern Cooperative Oncology Group performance status, grade, stage, response to neoadjuvant treatment, NLR, SII, and HRR were found to be significantly associated with DFS and OS. But in multivariate analysis, only HRR was demonstrated as an independent prognostic factor for DFS/OS (p 0.001, p 0.037, respectively). CONCLUSIONS HRR is a new biomarker that can predict DFS and OS in GC patients treated with neoadjuvant FLOT.
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Lin C, Lin S, Guo QJ, Zong JF, Lu TZ, Lin N, Lin SJ, Pan JJ. Systemic immune-inflammation index as a prognostic marker in patients with newly diagnosed metastatic nasopharyngeal carcinoma: a propensity score-matched study. Transl Cancer Res 2019; 8:2089-2098. [PMID: 35116958 PMCID: PMC8797649 DOI: 10.21037/tcr.2019.09.25] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2019] [Accepted: 09/04/2019] [Indexed: 01/21/2023]
Abstract
Background Systemic immune-inflammation index (SII) is significantly associated with poor survival in variety of cancers. However, SII has not yet been investigated in patients with newly diagnosed metastatic nasopharyngeal carcinoma (mNPC). Thus, our aim is to explore the role of SII in metastatic Nasopharyngeal Carcinoma. Methods Two hundred and forty-three patients with newly diagnosed mNPC were retrospectively enrolled. The Kaplan-Meier analysis and Cox regression analysis was performed to evaluate the prognostic value of SII in overall survival (OS) and progression-free survival (PFS). Heterogeneity of factors was balanced by using propensity score-matched (PSM) analysis (1:1 for high SII versus low SII). Results Kaplan-Meier analysis showed that patients with high SII were associated with poor median OS (18.0 vs. 36.0 m, P<0.001) and PFS (10.0 vs. 22.0 m, P<0.001) in mNPC. The Cox regression analysis suggested that high SII was a prognostic factor for OS (HR 1.75, 95% CI: 1.22–2.52, P=0.001) and PFS (HR 1.69, 95% CI: 1.22–2.35, P=0.002). PSM analysis still confirmed that SII was an independent marker for OS (HR 1.86, 95% CI: 1.22–2.83, P=0.004) and PFS (HR 1.84, 95% CI: 1.23–2.77, P=0.003). Conclusions SII is an independent prognostic biomarker for poor OS and PFS in patients with newly diagnosed mNPC and might be a promising tool for guiding treatment strategy decisions.
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Affiliation(s)
- Cheng Lin
- Department of Radiation Oncology, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou 350000, China
| | - Sheng Lin
- Department of Radiation Oncology, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou 350000, China
| | - Qiao-Juan Guo
- Department of Radiation Oncology, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou 350000, China
| | - Jing-Feng Zong
- Department of Radiation Oncology, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou 350000, China
| | - Tian-Zhu Lu
- Department of Radiation Oncology, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou 350000, China
| | - Na Lin
- Department of Radiation Oncology, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou 350000, China
| | - Shao-Jun Lin
- Department of Radiation Oncology, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou 350000, China
| | - Jian-Ji Pan
- Department of Radiation Oncology, Fujian Cancer Hospital & Fujian Medical University Cancer Hospital, Fuzhou 350000, China
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