Suppr超能文献

中性粒细胞与淋巴细胞比值、血小板与淋巴细胞比值和晚期肺癌炎症指数生物标志物与抑郁相关,可预测肺癌患者的生存情况。

Depression in association with neutrophil-to-lymphocyte, platelet-to-lymphocyte, and advanced lung cancer inflammation index biomarkers predicting lung cancer survival.

机构信息

Department of Psychology, Ohio State University Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio, United States of America.

Department of Biomedical Informatics and Center for Biostatistics, College of Medicine, The Ohio State University, Columbus, Ohio, United States of America.

出版信息

PLoS One. 2023 Feb 24;18(2):e0282206. doi: 10.1371/journal.pone.0282206. eCollection 2023.

Abstract

Lung cancer is a product of inflammation and a dysfunctional immune system, and depression has similar dysregulation. Depression disproportionately affects lung cancer patients, having the highest rates of all cancers. Systemic inflammation and depression are both predictive of non-small cell lung cancer (NSCLC) survival, but the existence and extent of any co-occurrence is unknown. Studied is the association between systemic inflammation ratio (SIR) biomarker levels and patients' depressive symptoms, with the hypothesis that depression severity would be significantly associated with prognostically poor inflammation. Newly diagnosed stage-IV non-small cell lung cancer (NSCLC; N = 186) patients were enrolled (ClinicalTrials.gov Identifier: NCT03199651) and blood draws and depression self-reports (Patient Health Questionnaire-9) were obtained. For SIRs, cell counts of neutrophils (N), lymphocytes (L), and platelets (P) were abstracted for ratio (R) calculations for NLR, PLR, and the Advanced Lung cancer Inflammation Index (ALI). Patients were followed and biomarkers were tested as predictors of 2-year overall survival (OS) to confirm their relevance. Next, multivariate linear regressions tested associations of depression with NLR, PLR, and ALI. Overall 2-year mortality was 61% (113/186). Cox model analyses confirmed higher NLR [hazard ratio (HR) = 1.91; p = 0.001] and PLR (HR = 2.08; p<0.001), along with lower ALI (HR = 0.53; p = 0.005), to be predictive of worse OS. Adjusting for covariates, depression was reliably associated with biomarker levels (p ≤ 0.02). Patients with moderate/severe depressive symptoms were 2 to 3 times more likely to have prognostically poor biomarker levels. Novel data show patients' depressive symptoms were reliably associated with lung-relevant systemic inflammation biomarkers, all assessed at diagnosis/pretreatment. The same SIRs were found prognostic for patients' 2-year OS. Intensive study of depression, combined with measures of cell biology and inflammation is needed to extend these findings to discover mechanisms of depression toxicity for NSCLC patients' treatment responses and survival.

摘要

肺癌是炎症和功能失调的免疫系统的产物,而抑郁也有类似的失调。抑郁在肺癌患者中不成比例地高发,其发生率在所有癌症中最高。全身炎症和抑郁都可预测非小细胞肺癌(NSCLC)的生存,但两者同时存在的情况及其程度尚不清楚。本研究旨在探讨全身炎症比(SIR)生物标志物水平与患者抑郁症状之间的关联,并提出假设,即抑郁严重程度与预后不良的炎症显著相关。新诊断的 IV 期非小细胞肺癌(NSCLC;N = 186)患者入组(ClinicalTrials.gov 标识符:NCT03199651),并采集血液样本和抑郁自评报告(患者健康问卷-9)。对于 SIR,中性粒细胞(N)、淋巴细胞(L)和血小板(P)的细胞计数用于 NLR、PLR 和高级肺癌炎症指数(ALI)的比率(R)计算。对患者进行随访,并对生物标志物进行检测,以确认其与 2 年总生存率(OS)的相关性。然后,多变量线性回归检验了抑郁与 NLR、PLR 和 ALI 的相关性。总的 2 年死亡率为 61%(113/186)。Cox 模型分析证实,更高的 NLR[危险比(HR)=1.91;p=0.001]和 PLR(HR=2.08;p<0.001),以及更低的 ALI(HR=0.53;p=0.005),与较差的 OS 相关。调整协变量后,抑郁与生物标志物水平显著相关(p≤0.02)。有中重度抑郁症状的患者有 2 到 3 倍的可能性具有预后不良的生物标志物水平。新数据显示,患者的抑郁症状与与肺部相关的全身炎症生物标志物显著相关,这些标志物均在诊断/治疗前进行评估。相同的 SIR 被发现对患者的 2 年 OS 具有预后意义。需要深入研究抑郁以及细胞生物学和炎症的测量,以扩展这些发现,以发现抑郁对 NSCLC 患者治疗反应和生存的毒性机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ae37/9956881/331b02f41558/pone.0282206.g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验