scholarly journals A Low Advanced Lung Cancer Inflammation Index Predicts a Poor Prognosis in Patients With Metastatic Non–Small Cell Lung Cancer

2022 ◽  
Vol 8 ◽  
Author(s):  
Ping Lu ◽  
Yifei Ma ◽  
Jindan Kai ◽  
Jun Wang ◽  
Zhucheng Yin ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Cox Regression ◽  
Small Cell ◽  
Advanced Lung Cancer ◽  
Categorical Variables ◽  
Small Cell Lung ◽  
Neutrophil Lymphocyte Ratio ◽  
Cancer Inflammation

Introduction: Inflammation plays a crucial role in cancers, and the advanced lung cancer inflammation index (ALI) is considered to be a potential factor reflecting systemic inflammation.Objectives: This work aimed to explore the prognostic value of the ALI in metastatic non–small cell lung cancer (NSCLC) and classify patients according to risk and prognosis.Methods: We screened 318 patients who were diagnosed with stage IV NSCLC in Hubei Cancer Hospital from July 2012 to December 2013. The formula for ALI is body mass index (BMI, kg/m2) × serum albumin (Alb, g/dl)/neutrophil–lymphocyte ratio (NLR). Categorical variables were analyzed by the chi-square test or Fisher’s exact test. The overall survival (OS) rates were analyzed by the Kaplan–Meier method and plotted with the R language. A multivariate Cox proportional hazard model was used to analyze the relationship between ALI and OS.Results: According to the optimal cut-off value determined by X-tile software, patients were divided into two groups (the ALI <32.6 and ALI ≥32.6 groups), and the median OS times were 19.23 and 39.97 months, respectively (p < 0.01). A multivariable Cox regression model confirmed that ALI and chemotherapy were independent prognostic factors for OS in patients with NSCLC. OS in the high ALI group was better than that in the low ALI group (HR: 1.39; 95% CI: 1.03–1.89; p = 0.03).Conclusions: Patients with a low ALI tend to have lower OS among those with metastatic NSCLC, and the ALI can serve as an effective prognostic factor for NSCLC patients.

The low advanced lung cancer inflammation index to predict poor prognosis of patients with metastatic non-small cell lung cancer.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e21132-e21132
Author(s):  
Ping Lu ◽  
Yifei Ma ◽  
Jindan Kai ◽  
Jun Wang ◽  
Zhucheng Yin ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Regression Model ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Cox Regression ◽  
Small Cell ◽  
Advanced Lung Cancer ◽  
Small Cell Lung ◽  
Metastatic Nsclc ◽  
Cancer Inflammation

e21132 Background: Inflammation plays a crucial role in cancers, in which the advanced lung cancer inflammation index (ALI) is considered to be a potential factor reflecting systemic inflammation. This work aimed to explore the prognostic value of ALI in metastatic non-small cell lung cancer (NSCLC) and classify patients according to their potential risks and different prognosis. Methods: Non-small cell lung cancer patients with stage IV were included in this retrospective study who were diagnosed pathologically in Hubei Cancer Hospital from June 2012 to December 2013. Combined with relevant imaging data and exfoliative cytology, patients with non-small cell lung cancer were staged according to the eighth edition of TNM staging criteria for non-small cell lung cancer. We screened 318 patients who met the inclusion and exclusion criteria requirements. The clinicopathological and therapeutic data of the patients were collected through medical records, including age, sex, smoking and drinking, tumor site, tumor family history, histology, metastatic site, chemotherapy, radiotherapy, anti-VEGF therapy and EGFR-TKI therapy. The formula of ALI is body mass index (BMI, Kg / m2) × serum albumin (Alb, g / dl) / neutrophil-lymphocyte ratio (NLR). Categorical variables were analyzed by chi-square test or Fisher’s exact test. The OS rates was analyzed by Kaplan–Meier method and plotted with R language. Multivariate Cox proportional hazard model was used to analyze the relationship between ALI and OS. The nomogram based on the Multivariable Cox regression was establish, and the Harrell consistency index (C-index) was used to evaluate the predictive performance of the Cox regression model. Results: According to the optimal cut-off value determined by X-tile software, patients were divided into two groups: ALI < 32.6 and ALI ≥ 32.6 and the median OS in the high ALI group were better than those in the low ALI group (39.97 vs 19.23 months, p < 0.01). Local or distant metastases and some distant metastasis sites are related to prognosis. Multivariable Cox regression model confirmed that ALI (HR: 1.39; 95%CI: 1.03-1.89; P = 0.03) and chemotherapy (HR: 0.67; 95%CI: 0.49- 0.91; P = 0.01) were independent prognostic factors for OS in patients with metastatic non-small-cell lung cancer. Conclusions: The results of our study indicates that patients with low ALI tend to have lower OS in metastatic NSCLC, and ALI can serve as an effective prognostic factor for metastatic NSCLC patients.

scholarly journals Prognostic role of the advanced lung cancer inflammation index in cancer patients: a meta-analysis

2019 ◽  
Vol 17 (1) ◽  
Author(s):  
Xin Hua ◽  
Jing Chen ◽  
Ying Wu ◽  
Jun Sha ◽  
Shuhua Han ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cancer Patients ◽  
Cell Lung Cancer ◽  
Meta Analysis ◽  
Small Cell ◽  
Advanced Lung Cancer ◽  
Cochrane Library ◽  
Small Cell Lung ◽  
Cancer Inflammation

Abstract Background Inflammation plays a critical role in the development and progression of cancers. The advanced lung cancer inflammation index (ALI) is thought to be able to reflect systemic inflammation better than current biomarkers. However, the prognostic significance of the ALI in various types of cancer remains unclear. Our meta-analysis aimed to comprehensively investigate the relationship between the ALI and oncologic outcomes to help physicians better assess the prognosis of cancer patients. Methods The PubMed, Embase, Cochrane Library, China National Knowledge Infrastructure, and Wanfang databases were searched for relevant studies. Hazard ratios (HRs) with 95% confidence intervals (95% CIs) were calculated and pooled from the included studies. Furthermore, a sensitivity analysis was performed to evaluate the reliability of the articles. Finally, Begg’s test, Egger’s test, and the funnel plot were applied to assess the significance of publication bias. Results In total, 1736 patients from nine studies were included in our meta-analysis. The median cutoff value for the ALI was 23.2 (range, 15.5–37.66) in the analyzed studies. The meta-analysis showed that there was a statistically significant relationship between a low ALI and worse overall survival (OS) in various types of cancer (HR = 1.70, 95% CI = 1.41–1.99, P < 0.001). Moreover, results from subgroup meta-analysis showed that the ALI had a significant prognostic value in non-small cell lung cancer, small cell lung cancer, colorectal cancer, head and neck squamous cell carcinoma, and diffuse large B cell lymphoma (P < 0.05 for all). Conclusions These results showed that a low ALI was associated with poor OS in various types of cancer, and the ALI could act as an effective prognostic biomarker in cancer patients.

Advanced Lung Cancer Inflammation Index, a New Prognostic Score, Predicts Outcome in Patients With Small-Cell Lung Cancer

2015 ◽  
Vol 16 (6) ◽  
pp. e165-e171 ◽  
Author(s):  
Xiaobo He ◽  
Ting Zhou ◽  
Yunpeng Yang ◽  
Shaodong Hong ◽  
Jianhua Zhan ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Prognostic Score ◽  
Small Cell ◽  
Advanced Lung Cancer ◽  
Small Cell Lung ◽  
Cancer Inflammation

scholarly journals The advanced lung cancer inflammation index predicts outcomes of patients with non-small cell lung cancer following video-assisted thoracic surgery

2021 ◽  
Vol 49 (12) ◽  
pp. 030006052110624
Author(s):  
Zhaohui Han ◽  
Zhonghui Hu ◽  
Qingtao Zhao ◽  
Wenfei Xue ◽  
Guochen Duan
Keyword(s):  
Lung Cancer ◽  
Thoracic Surgery ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Small Cell ◽  
Advanced Lung Cancer ◽  
Small Cell Lung ◽  
Stage Iiia ◽  
Optimal Cutoff ◽  
Cancer Inflammation

Objective The advanced lung cancer inflammation index (ALI) predicts overall survival (OS) in patients with advanced lung cancer. However, few studies have tested ALI’s prognostic effect in patients with non-small cell lung cancer (NSCLC) following video-assisted thoracic surgery (VATS), especially patients at stage III. This study investigated the relationship between ALI and outcomes of patients with NSCLC following VATS. Methods We retrospectively examined 339 patients with NSCLC who underwent VATS at Hebei General Hospital, China. Preoperative clinical and laboratory parameters were collected and analyzed. Optimal cutoff values of potential prognostic factors, including ALI, were determined. Kaplan–Meier and Cox regression analyses were used to determine each factor’s prognostic value. Results The median OS was 31 months. The optimal cutoff value for ALI was 41.20. Patients with high ALI (≥41.20) displayed increased OS (33.87 vs. 30.24 months), higher survival rates, and milder clinical characteristics. Univariate and multivariate analyses showed a significant correlation between ALI and the prognosis of patients with NSCLC, including those at stage IIIA, who underwent VATS. Conclusions Low ALI correlated with poor outcomes in patients with NSCLC following VATS. Preoperative ALI might be a potential prognostic biomarker for patients with NSCLC following VATS, including patients at stage IIIA.

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