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Zhang F, Li L, Wu X, Wen Y, Zhan X, Peng F, Wang X, Zhou Q, Feng X. Pan-immune-inflammation value is associated with poor prognosis in patients undergoing peritoneal dialysis. Ren Fail 2023; 45:2158103. [PMID: 36632816 PMCID: PMC9848369 DOI: 10.1080/0886022x.2022.2158103] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023] Open
Abstract
BACKGROUND Immune-inflammatory biomarkers (IIBs) have been shown to be correlated with prognosis in patients undergoing peritoneal dialysis (PD). In this study, we aimed to evaluate the relationship between a novel comprehensive biomarker, the pan-immune-inflammation value (PIV), and the prognosis of patients undergoing PD. METHODS We retrospectively analyzed data from a multicenter, large-sample PD database. PIV was calculated as (neutrophil count × platelet count × monocyte count)/lymphocyte count. The prognostic endpoints in this study were all-cause death all-cause, cardiovascular disease (CVD) and infection-related death. The Kaplan-Meier method, a Cox proportional hazards regression, Fine-Gray competing risk model, smooth curve, and subgroup analysis were used to analyze the independent relationship between PIV and the prognosis of patients undergoing PD. RESULTS A total of 2796 cases of PD were included, and the study population was divided into Tertiles 1, 2, and 3, according to the tertiles of baseline PIVs. After adjusting for multiple model factors, patients in the Tertile 3 group had a significantly higher risk of all-cause death, CVD death and infection-related death compared with patients with PIV in the Tertile 1 group. Interaction tests showed no positive correlations for subgroup parameters. Regarding all-cause death, compared with the lowest tertile, the multivariable-adjusted hazard ratios (95% confidence intervals) of the highest and middle tertiles were 1.55 (1.25-1.94) and 1.77 (1.43-2.19), respectively; PIV (log2 processing) was associated with 17% excess of mortality in the continuous model. CONCLUSIONS A high PIV at baseline was significantly associated with an increased risk of deaths due to all-causes, CVD and infection in patients undergoing PD.
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Affiliation(s)
- Fengping Zhang
- Department of Nephrology, Jiujiang No. 1 People’s Hospital, Jiujiang, China
| | - Luohua Li
- Department of Nephrology, Jiujiang No. 1 People’s Hospital, Jiujiang, China
| | - Xianfeng Wu
- Department of Nephrology, Affiliated Sixth People’s Hospital, Shanghai, China
| | - Yueqiang Wen
- Department of Nephrology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xiaojiang Zhan
- Department of Nephrology, The First Affiliated Hospital of Nanchang University, Nanchang, China
| | - Fenfen Peng
- Department of Nephrology, Zhujiang Hospital of Southern Medical University, Guangzhou, China
| | - Xiaoyang Wang
- Department of Nephrology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Qian Zhou
- Department of Medical Statistics, Clinical Trials Unit, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Xiaoran Feng
- Department of Nephrology, Jiujiang No. 1 People’s Hospital, Jiujiang, China,CONTACT Xiaoran Feng Department of Nephrology, Jiujiang No. 1 People’s Hospital, Jiujiang, China
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Chen Y, Gong L, Gu P, Hua Y, Sun Y, Ni S, Zhou X, Tang Z. Pan-immune-inflammation and its dynamics: predictors of survival and immune-related adverse events in patients with advanced NSCLC receiving immunotherapy. BMC Cancer 2023; 23:944. [PMID: 37803437 PMCID: PMC10557237 DOI: 10.1186/s12885-023-11366-4] [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: 05/16/2023] [Accepted: 09/04/2023] [Indexed: 10/08/2023] Open
Abstract
OBJECTIVES Pan-immune-inflammation value (PIV) is defined by the neutrophil, platelet, monocyte, and lymphocyte counts and is associated with immune-checkpoint inhibitor (ICI) therapy outcomes in advanced non-small cell lung cancer (aNSCLC). However, PIV is dynamic under therapy and its longitudinal assessment may help predict efficacy. This study investigated the impact of baseline PIV and its dynamics on ICI efficacy and its immune-related adverse events (irAEs). The study additionally attempted to understand the biological significance of PIV. PATIENTS AND METHODS This retrospective study analyzed the clinical data of 269 consecutive patients with aNSCLC. PIV was calculated at baseline and at weeks 3-4 to determine its association with overall survival (OS), progression-free survival (PFS), and irAEs. RESULTS Results revealed that low baseline PIV was positively correlated with the incidence of irAEs. Moreover, a low PIV at baseline was significantly associated with a prolonged PFS (median PFS: 10 vs. 7 months, p = 0.0005) and OS (median OS: 29 vs. 21 months, p < 0.0001). When the PIV at baseline and weeks 3-4 was considered together, its low dynamics correlated with a higher incidence of irAEs (p = 0.001), a longer PFS (median PFS, 9 vs. 6 months, p = 0.012), and a longer OS (median OS; 28 vs. 21 months, p = 0.002). CONCLUSION Thus, PIV at baseline and its dynamics are novel and potent predictors of irAEs, PFS, and OS in patients with aNSCLC receiving immunotherapy. Moreover, the PIV dynamics may be an effective, novel surrogate marker to dynamically observe the efficacy of immunotherapy.
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Affiliation(s)
- Yiqun Chen
- Department of Respiratory and Critical Care Medicine, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, 226001, China
| | - Lingyan Gong
- Department of Respiratory and Critical Care Medicine, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, 226001, China
| | - Pengyang Gu
- Department of Respiratory and Critical Care Medicine, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, 226001, China
| | - Yiwen Hua
- Department of Respiratory and Critical Care Medicine, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, 226001, China
| | - Yingfang Sun
- Department of Pharmacy, Affiliated Hospital of Nantong University, Pharmacy School of Nantong University, Nantong, 226001, China
| | - Songshi Ni
- Department of Respiratory and Critical Care Medicine, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, 226001, China.
| | - Xiaoyu Zhou
- Department of Respiratory and Critical Care Medicine, Affiliated Hospital of Nantong University, Medical School of Nantong University, Nantong, 226001, China.
| | - Zhiyuan Tang
- Department of Pharmacy, Affiliated Hospital of Nantong University, Pharmacy School of Nantong University, Nantong, 226001, China.
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Hai-Jing Y, Shan R, Jie-Qiong X. Prognostic significance of the pretreatment pan-immune-inflammation value in cancer patients: an updated meta-analysis of 30 studies. Front Nutr 2023; 10:1259929. [PMID: 37850085 PMCID: PMC10577316 DOI: 10.3389/fnut.2023.1259929] [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] [Received: 07/21/2023] [Accepted: 09/15/2023] [Indexed: 10/19/2023] Open
Abstract
Background The pan-immune-inflammation value (PIV) has been reported as a promising prognostic biomarker in multiple cancers but still remains inconclusive. The objective of this study is to systematically investigate the association of the pretreatment PIV with survival outcomes in cancer patients, based on available literature. Methods Online databases including PubMed, Embase and the Web of Science were thoroughly searched for studies evaluating the prognostic role of the pretreatment PIV in cancers from the inception to June 2023. Hazard ratios (HRs) with 95% confidence intervals (CIs) were always assessed using a random-effects model. Statistical analyses were performed using Stata 12.0. Results Thirty studies were finally included after comprehensively study searching. In total, 8,799 cancer patients were enrolled in this meta-analysis. The pooled results demonstrated that patients in the high PIV group had a significantly poorer overall survival (HR = 2.07; 95%CI: 1.77-2.41; I2 = 73.0%) and progression-free survival (HR = 1.83; 95%CI: 1.37-2.45; I2 = 98.2%) than patients in the low PIV group. The prognostic significance of the PIV score on overall survival and progression-free survival was observed across various geographical regions, tumor stages and treatment strategies. Sensitivity analyses supported the stability of the above combined results. Conclusion This meta-analysis demonstrated that the pretreatment PIV could be a non-invasive and efficacious prognostic biomarker for cancer patients.
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Affiliation(s)
| | | | - Xia Jie-Qiong
- Department of International Nursing School, Hainan Medical University, Haikou, Hainan, China
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Muacevic A, Adler JR. A Novel Prognostic Index for Metastatic Colon Cancer: The Prognostic Immune Nutritional Index. Cureus 2023; 15:e33808. [PMID: 36819360 PMCID: PMC9931376 DOI: 10.7759/cureus.33808] [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: 01/15/2023] [Indexed: 01/18/2023] Open
Abstract
Objective Systemic inflammation and nutrition are associated with survival outcomes in metastatic colon cancer (mCC) patients. A new and strong prognostic marker named the Prognostic Immune Nutritional Index (PINI) was proposed as the best marker for outcomes in metastatic colon cancer patients. This study aimed to evaluate the prognostic significance of PINI in mCC patients. Methods The data of 190 patients who were admitted to our center and diagnosed with mCC between 2010 and 2020 abiding by our inclusion criteria were reviewed retrospectively. Receiver operating characteristic (ROC) analysis was used to identify the optimum cutoff value of PINI for overall survival (OS). Results The mean age of the participants was 62.64±11.99 years. The median follow-up time was 25.81 months. According to PINI, the median OS in patients who had PINI<3 was 22.70 months (95% confidence interval (CI): 16.05-29.35), and the median OS in patients who had PINI≥3 was 38.83 months (95% CI: 26.98-37.01) (p<0.001). PINI score lower than 3 was an independent prognostic indicator in multivariate analysis. Conclusions PINI was discovered to be an independent prognostic factor in metastatic colorectal cancer. We believe that PINI, which can be calculated using a simple formula, will provide clinicians with important clues when deciding on individual treatment.
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Yang XC, Liu H, Liu DC, Tong C, Liang XW, Chen RH. Prognostic value of pan-immune-inflammation value in colorectal cancer patients: A systematic review and meta-analysis. Front Oncol 2022; 12:1036890. [PMID: 36620576 PMCID: PMC9813847 DOI: 10.3389/fonc.2022.1036890] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Accepted: 12/05/2022] [Indexed: 12/24/2022] Open
Abstract
Background The pan-immune-inflammation value (PIV) has been reported as a novel prognostic biomarker in multiple malignancies. The aim of this study is to investigate the prognostic value of the PIV in patients with colorectal cancer. Methods We comprehensively searched electronic databases including PubMed, Embase and Web of Science up to August 2022. The endpoints were survival outcomes. Hazard ratios (HRs) with 95% confidence intervals (CIs) for survival data were collected for analysis. Results Six studies including 1879 participants were included. A significant heterogeneity in the PIV cut-off value among studies was observed. The combined results indicated that patients in the high baseline PIV group had a worse overall survival (HR=2.09; 95%CI: 1.67-2.61; P<0.0001; I2 = 7%) and progression-free survival (HR=1.82; 95%CI: 1.49-2.22; P<0.0001; I2 = 15%). In addition, early PIV increase after treatment initiation was significantly associated with decreased overall survival (HR=1.79; 95%CI: 1.13-2.93; P=0.01; I2 = 26%), and a trend toward poor progression-free survival (HR=2.00; 95%CI: 0.90-4.41; P=0.09; I2 = 70%). Conclusion Based on existing evidence, the PIV could act as a valuable prognostic index in patients with colorectal cancer. However, the heterogeneity in the PIV cut-off value among studies should be considered when interpreting these findings.
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Affiliation(s)
- Xiao-Chuan Yang
- Department of Interventional Radiology, Central South University, Xiangya School of Medicine Affiliated Haikou Hospital, Haikou, Hainan, China
| | - Hui Liu
- Department of Interventional Radiology, Central South University, Xiangya School of Medicine Affiliated Haikou Hospital, Haikou, Hainan, China
| | - Ding-Cheng Liu
- Department of Interventional Radiology, Central South University, Xiangya School of Medicine Affiliated Haikou Hospital, Haikou, Hainan, China
| | - Chao Tong
- Department of Interventional Radiology, Central South University, Xiangya School of Medicine Affiliated Haikou Hospital, Haikou, Hainan, China
| | - Xian-Wen Liang
- Department of Hepatobiliary Surgery, Hainan General Hospital, Haikou, Hainan, China,*Correspondence: Xian-Wen Liang, ; Ri-Hui Chen,
| | - Ri-Hui Chen
- Department of Interventional Radiology, Central South University, Xiangya School of Medicine Affiliated Haikou Hospital, Haikou, Hainan, China,*Correspondence: Xian-Wen Liang, ; Ri-Hui Chen,
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Topkan E, Selek U, Kucuk A, Pehlivan B. Low Pre-ChemoradiotherapyPan-Immune-Inflammation Value (PIV) Measures Predict Better Survival Outcomes in Locally Advanced Pancreatic Adenocarcinomas. J Inflamm Res 2022; 15:5413-5423. [PMID: 36158517 PMCID: PMC9499729 DOI: 10.2147/jir.s385328] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2022] [Accepted: 09/10/2022] [Indexed: 11/23/2022] Open
Abstract
Objective This study sought to determine whether pretreatment pan-immune-inflammation value (PIV) could be used to predict prognosis in patients with locally advanced pancreatic adenocarcinoma (LA-PAC) following definitive concurrent chemoradiotherapy (C-CRT). Methods The outcomes of 178 LA-PAC patients who received definitive C-CRT were analyzed retrospectively. For all patients, the PIV was calculated using the peripheral blood platelet (P), monocyte (M), neutrophil (N), and lymphocyte (L) counts obtained on the first day of C-CRT: PIV=P×M×N÷L. The optimum cutoff values for PIV connected to progression-free (PFS) and overall survival (OS) results were sought using receiver operating characteristic (ROC) curve analysis. The OS and PFS differences between the PIV groups constituted the primary and secondary endpoints, respectively. Results ROC curve analysis indicated that the ideal PIV cutoff was 464 (AUC: 75.9%, sensitivity: 74.1%, specificity: 71.9%), which categorized patients into two groups based on PFS and OS results: low PIV (L-PIV; N = 69) and high PIV (H-PIV; N = 109). According to comparative survival analyses, patients in the L-PIV group had significantly longer median PFS (14.3 vs 7.3 months; HR: 3.04; P<0.001) and OS (25.9 vs 13.3 months; HR: 2.86; P<0.001) than those in the H-PIV group. Although none of the H-PIV patients could survive beyond 5 years, the estimated 5-year OS rate was 29.7% in the L-PIV cohort. In multivariate analyses, besides the L-PIV, N0 nodal stage, and CA 19–9 ≤ 90 U/mL appeared to be the independent predictors of better PFS (P < 0.05 for each) and OS (P < 0.05 for each) results. Conclusion The present results indicated that pre-C-CRT L-PIV measures were associated with favorable median and long-term PFS and OS results in LA-PAC patients, suggesting that the PIV is a potent and independent novel prognostic biomarker.
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Affiliation(s)
- Erkan Topkan
- Department of Radiation Oncology, Baskent University Medical Faculty, Adana, Turkey
| | - Ugur Selek
- Department of Radiation Oncology, Koc University School of Medicine, Istanbul, Turkey.,Division of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ahmet Kucuk
- Clinic of Radiation Oncology, Mersin Education and Research Hospital, Mersin, Turkey
| | - Berrin Pehlivan
- Department of Radiation Oncology, Bahcesehir University, Istanbul, Turkey
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Guven DC, Sahin TK, Erul E, Kilickap S, Gambichler T, Aksoy S. The Association between the Pan-Immune-Inflammation Value and Cancer Prognosis: A Systematic Review and Meta-Analysis. Cancers (Basel) 2022; 14:cancers14112675. [PMID: 35681656 PMCID: PMC9179577 DOI: 10.3390/cancers14112675] [Citation(s) in RCA: 39] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Revised: 05/25/2022] [Accepted: 05/27/2022] [Indexed: 01/27/2023] Open
Abstract
Background: Prognostic scores derived from the blood count have garnered significant interest as an indirect measure of the inflammatory pressure in cancer. The recently developed pan-immune-inflammation value (PIV), an equation including the neutrophil, platelet, monocyte, and lymphocyte levels, has been evaluated in several cohorts, although with variations in the tumor types, disease stages, cut-offs, and treatments. Therefore, we evaluated the association between survival and PIV in cancer, performing a systematic review and meta-analysis. Methods: We conducted a systematic review from the Pubmed, Medline, and Embase databases to filter the published studies until 17 May 2022. The meta-analyses were performed with the generic inverse-variance method with a random-effects model. Results: Fifteen studies encompassing 4942 patients were included. In the pooled analysis of fifteen studies, the patients with higher PIV levels had significantly increased risk of death than those with lower PIV levels (HR: 2.00, 95% CI: 1.51−2.64, p < 0.001) and increased risk of progression or death (HR: 1.80, 95% CI: 1.39−2.32, p < 0.001). Analyses were consistent across several clinical scenarios, including non-metastatic or metastatic disease, different cut-offs (500, 400, and 300), and treatment with targeted therapy or immunotherapy (p < 0.001 for each). Conclusion: The available evidence demonstrates that PIV could be a prognostic biomarker in cancer. However, further research is needed to explore the promise of PIV as a prognostic biomarker in patients with non-metastatic disease or patients treated without immunotherapy or targeted therapy.
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Affiliation(s)
- Deniz Can Guven
- Department of Medical Oncology, Hacettepe University Cancer Institute, Ankara 06100, Turkey; (S.K.); (S.A.)
- Correspondence: or
| | - Taha Koray Sahin
- Department of Internal Medicine, Hacettepe University Faculty of Medicine, Ankara 06100, Turkey; (T.K.S.); (E.E.)
| | - Enes Erul
- Department of Internal Medicine, Hacettepe University Faculty of Medicine, Ankara 06100, Turkey; (T.K.S.); (E.E.)
| | - Saadettin Kilickap
- Department of Medical Oncology, Hacettepe University Cancer Institute, Ankara 06100, Turkey; (S.K.); (S.A.)
- Department of Medical Oncology, Istinye University Faculty of Medicine, Istanbul 34010, Turkey
| | - Thilo Gambichler
- Department of Dermatology, Skin Cancer Center, Ruhr-University Bochum, 44791 Bochum, Germany;
| | - Sercan Aksoy
- Department of Medical Oncology, Hacettepe University Cancer Institute, Ankara 06100, Turkey; (S.K.); (S.A.)
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