scholarly journals Prognostic significance of advanced lung cancer inflammation index (ALI) In untreated and treated stage IV non-small cell lung cancer (NSCLC): An Australian cancer centre experience

2017 ◽  
Vol 28 ◽  
pp. ii45
Author(s):  
H. Mandaliya ◽  
M. Jones ◽  
C. Oldmeadow ◽  
I. Nordman
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
Prognostic Significance ◽  
Stage Iv ◽  
Small Cell ◽  
Advanced Lung Cancer ◽  
Small Cell Lung ◽  
Cancer Centre ◽  
Cancer Inflammation

Circulating tumor cell proportion scoring (CTPS) based PD-L1 assessment and clinical application of circulating tumor cells (CTCs) on stage IV non-small cell lung cancer (NSCLC) through liquid biopsy.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e15031-e15031
Author(s):  
Mi Young Choi ◽  
Da Hye Moon ◽  
Jong-min Jo ◽  
Hae Ung Lee ◽  
Seri Park ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Small Cell Lung Cancer ◽  
Cell Lung Cancer ◽  
False Positive ◽  
Stage Iv ◽  
Small Cell ◽  
Advanced Lung Cancer ◽  
Diagnostic Strategy ◽  
Small Cell Lung ◽  
Tissue Biopsy

e15031 Background: Stage IV lung cancer is the most advanced lung cancer state accompanied by metastasized to the area around the lungs or distant major organs. The most common type of lung cancer is non-small cell lung cancer, which is more aggressive and may spread quickly due to organ-specific complex networks such as lymph and major blood vessels. Thus, only precise diagnostic strategy approaches will determine the effectiveness of the actual and successful clinical treatment. Until a recent date, Immunohistochemistry (IHC) for programmed death-ligand 1(PD-L1) test is the only available biomarker test that purpose diagnostics (CDx) and guide the treatment with immune checkpoint inhibitors in NSCLC. Methods: Given that CDx strategy, tissue biopsy has inevitable limitations, including patient risk, repetitive examination, sample preparation, sensitivity, and accuracy. For this reason, our research team contrived the best strategy for biomarker, PD-L1-specific CTCs in stage IV NSCLC group (N = 30) compared to pulmonary inflammatory patient groups (N = 30) CytoGen Smart biopsy platform. Herein, we removed false-positive cells for the first strategy of distinguishing between lymphoid/myeloid cells and the enriched-CTCs. And the second strategic approach is to calculate the pure CTCs (without false-positive cells) and then CTPS) as measured by the PD-L1 expression among pure-CTCs. That application is the percentage of viable CTCs showing partial or complete stained cells at the deducted cut-off value in each fluorescence, respectively. Results: Consequently, we demonstrated over 80% of the concordance rate between VENTANA PD-L1(SP263) and DAKO PD-L1(SP263) assay tested by the PD-L1 expression on stage IV NSCLC in tissue and pure-CTCs based CTPS from the blood. In contrast, pure-CTCs based CTPS in the pulmonary inflammatory group were all negative (recorded as zero). Conclusions: Conclusively, this study implicates that pure-CTCs based CTPS could be deployed for innovative diagnosis strategies as alternatives for tissue biopsy. Our clinical study's data suggested that the possibility for prompt decision for diagnosis and gain powerful insights to guide the personalized treatment in NSCLCs. Clinical trial information: 2020-0553.

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 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 &lt;32.6 and ALI ≥32.6 groups), and the median OS times were 19.23 and 39.97 months, respectively (p &lt; 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.

Sign in / Sign up

Export Citation Format

Share Document