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The advanced lung cancer inflammation index is the optimal inflammatory biomarker of overall survival in patients with lung cancer

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机构: [1]Department of Gastrointestinal Surgery/Clinical Nutrition, Capital Medical University Affiliated Beijing Shijitan Hospital, Beijing, China [2]Key Laboratory of Cancer FSMP forState Market Regulation, Beijing, China [3]Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China [4]Departmentof Epidemiology and Statistics, Henan Key Laboratory of Tumor Epidemiology College of Public Health, Zhengzhou University, Zhengzhou, China [5]The Second AffiliatedHospital and Yuying Children’s Hospital of Wenzhou Medical University, Wenzhou, China [6]Liaocheng University, Liaocheng, China [7]The First Affiliated Hospital of KunmingMedical University, Kunming, China [8]Department of Nutrition, Daping Hospital & Research Institute of Surgery, Third Military Medical University, Chongqing, China [9]YunnanUniversity, Kunming, China [10]General surgery clinical medical center of Yunnan province, Kunming, China [11]Cancer Center of the First Hospital of Jilin University, Changchun, China
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关键词: Lung cancer Prognosis Inflammation indicators

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Backgrounds Malnutrition and systemic inflammatory responses are associated with poor overall survival (OS) in lung cancer patients, but it remains unclear which biomarkers are better for predicting their prognosis. This study tried to determine the best one among the existing common nutrition/inflammation-based indicators of OS for patients with lung cancer. Materials and methods There were 16 nutrition or systemic inflammation-based indicators included in this study. The cut-off points for the indicators were calculated using maximally selected rank statistics. The OS was evaluated using the Kaplan-Meier estimator, and univariate and multivariate Cox proportional hazard models were used to determine the relationship between the indicators and OS. A time-dependent receiver operating characteristic curves (time-ROC) and C-index were calculated to assess the predictive ability of the different indicators. Results There were 1772 patients with lung cancer included in this study. In univariate analysis, all 16 indicators were significantly associated with OS of the patients (all P < 0.001). Except for platelet-to-lymphocyte ratio, all other indicators were independent predictors of OS in multivariate analysis (all P < 0.05). Low advanced lung cancer inflammation index (ALI) was associated with higher mortality risk of lung cancer [hazard ratio, 1.30; 95% confidence interval (CI), 1.13-1.49]. The results of the time-AUC and C-index analyses indicated that the ALI (C-index: 0.611) had the best predictive ability on the OS in patients with lung cancer. In different sub-groups, the ALI was the best indicator for predicting the OS of lung cancer patients regardless of sex (C-index, 0.609 for men and 0.613 for women) or smoking status (C-index, 0.629 for non-smoker and 0.601 for smoker) and in patients aged <65 years (C-index, 0.613). However, the modified Glasgow prognostic score was superior to the other indicators in non-small cell lung cancer patients (C-index, 0.639) or patients aged >= 65 years (C-index, 0.610), and the glucose-to-lymphocyte ratio performed better prognostic ability in patients with small cell lung cancer (C-index, 0.601). Conclusions The prognostic ability of the ALI is superior to the other inflammation/nutrition-based indicators for all patients with lung cancer.

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出版当年[2023]版:
大类 | 1 区 医学
小类 | 1 区 老年医学 1 区 医学:内科
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大类 | 1 区 医学
小类 | 1 区 老年医学 1 区 医学:内科
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出版当年[2022]版:
Q1 GERIATRICS & GERONTOLOGY Q1 MEDICINE, GENERAL & INTERNAL
最新[2023]版:
Q1 GERIATRICS & GERONTOLOGY Q1 MEDICINE, GENERAL & INTERNAL

影响因子: 最新[2023版] 最新五年平均 出版当年[2022版] 出版当年五年平均 出版前一年[2021版] 出版后一年[2023版]

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第一作者机构: [1]Department of Gastrointestinal Surgery/Clinical Nutrition, Capital Medical University Affiliated Beijing Shijitan Hospital, Beijing, China [2]Key Laboratory of Cancer FSMP forState Market Regulation, Beijing, China [3]Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China
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通讯机构: [1]Department of Gastrointestinal Surgery/Clinical Nutrition, Capital Medical University Affiliated Beijing Shijitan Hospital, Beijing, China [2]Key Laboratory of Cancer FSMP forState Market Regulation, Beijing, China [3]Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, China [*1]Department of Gastrointestinal Surgery/Clinical Nutrition, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China.
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