非鳞状非小细胞肺癌代谢改变的影像学及临床影响
Landscape and clinical impact of metabolic alterations in non-squamous non-small cell lung cancer.
作者信息
Ivanina Foureau Anna V, Sha Wei, Foureau David M, Symanowski James T, Farhangfar Carol J, Mileham Kathryn F
机构信息
Translational Research, Levine Cancer Institute, Atrium Health, Charlotte, NC, USA.
Cancer Biostatistics, Levine Cancer Institute, Atrium Health, Charlotte, NC, USA.
出版信息
Transl Lung Cancer Res. 2022 Dec;11(12):2464-2476. doi: 10.21037/tlcr-22-377.
BACKGROUND
Metabolomics studies to date have described widespread metabolic reprogramming events during the development of non-squamous non-small cell lung cancer (NSCLC). Extending far beyond the Warburg effect, not only is carbohydrate metabolism affected, but also metabolism of amino acids, cofactors, lipids, and nucleotides.
METHODS
We evaluated the clinical impact of metabolic reprogramming. We performed comparative analysis of publicly available data on non-squamous NSCLC, to identify concensus altered metabolic pathways. We investigated whether alterations of metabolic genes controlling those consensus metabolic pathways impacted clinical outcome. Using the clinically annotated lung adenocarcinoma (LUAD) cohort from The Cancer Genome Atlas, we surveyed the distribution and frequency of function-altering mutations in metabolic genes and their impact on overall survival (OS).
RESULTS
We identified 42 metabolic genes of clinical significance, the majority of which (37 of 42) clustered across three metabolic superpathways (carbohydrates, amino acids, and nucleotides) and most functions (40 of 42) were associated with shorter OS. Multivariate analyses showed that dysfunction of carbohydrate metabolism had the most profound impact on OS [hazard ratio (HR) =5.208; 95% confidence interval (CI): 3.272 to 8.291], false discovery rate (FDR)-P≤0.0001, followed by amino acid metabolism (HR =3.346; 95% CI: 2.129 to 5.258), FDR-P≤0.0001 and nucleotide metabolism (HR =2.578; 95% CI: 1.598 to 4.159), FDR-P=0.0001. The deleterious effect of metabolic reprogramming on non-squamous NSCLC was observed independently of disease stage and across treatments groups.
CONCLUSIONS
By providing a detailed landscape of metabolic alterations in non-squamous NSCLC, our findings offer new insights in the biology of the disease and metabolic adaptation mechanisms of clinical significance.
背景
迄今为止,代谢组学研究已描述了非鳞状非小细胞肺癌(NSCLC)发生发展过程中广泛的代谢重编程事件。这些事件远远超出了瓦伯格效应,不仅碳水化合物代谢受到影响,氨基酸、辅因子、脂质和核苷酸的代谢也受到影响。
方法
我们评估了代谢重编程的临床影响。我们对公开可得的非鳞状NSCLC数据进行了比较分析,以确定一致改变的代谢途径。我们研究了控制这些一致代谢途径的代谢基因改变是否会影响临床结局。利用来自癌症基因组图谱的临床注释肺腺癌(LUAD)队列,我们调查了代谢基因中功能改变突变的分布和频率及其对总生存期(OS)的影响。
结果
我们鉴定出42个具有临床意义的代谢基因,其中大多数(42个中的37个)聚集在三个代谢超级途径(碳水化合物、氨基酸和核苷酸)中,且大多数功能(42个中的40个)与较短的OS相关。多变量分析显示,碳水化合物代谢功能障碍对OS的影响最为深远[风险比(HR)=5.208;95%置信区间(CI):3.272至8.291],错误发现率(FDR)-P≤0.0001,其次是氨基酸代谢(HR =3.346;95%CI:2.129至5.258),FDR-P≤0.0001,以及核苷酸代谢(HR =2.578;95%CI:1.598至4.159),FDR-P=0.0001。在不考虑疾病分期和治疗组的情况下,均观察到代谢重编程对非鳞状NSCLC具有有害作用。
结论
通过提供非鳞状NSCLC代谢改变的详细情况,我们的研究结果为该疾病的生物学特性及具有临床意义的代谢适应机制提供了新的见解。
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