Suppr超能文献

肺癌筛查中的液体活检:代谢组学的贡献。一项初步研究的结果。

Liquid Biopsy in Lung Cancer Screening: The Contribution of Metabolomics. Results of A Pilot Study.

作者信息

Singhal Sandeep, Rolfo Christian, Maksymiuk Andrew W, Tappia Paramjit S, Sitar Daniel S, Russo Alessandro, Akhtar Parveen S, Khatun Nazrina, Rahnuma Parveen, Rashiduzzaman Ahmed, Ahmed Bux Rashid, Huang Guoyu, Ramjiawan Bram

机构信息

Columbia University Medical Center, New York, NY 10032, USA.

Marlene and Stewart Greenebaum Comprehensive Cancer Centre, University of Maryland, Baltimore, MD 21201, USA.

出版信息

Cancers (Basel). 2019 Jul 29;11(8):1069. doi: 10.3390/cancers11081069.

Abstract

: Lung cancer is the most common cause of cancer-related deaths worldwide. Early diagnosis is crucial to increase the curability chance of the patients. Low dose CT screening can reduce lung cancer mortality, but it is associated with several limitations. Metabolomics is a promising technique for cancer diagnosis due to its ability to provide chemical phenotyping data. The intent of our study was to explore metabolomic effects and profiles of lung cancer patients to determine if metabolic perturbations in the SSAT-1/polyamine pathway can distinguish between healthy participants and lung cancer patients as a diagnostic and treatment monitoring tool. : Plasma samples were collected as part of the SSAT1 Amantadine Cancer Study. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) was used to identify and quantify metabolite concentrations in lung cancer patient and control samples. Standard statistical analyses were performed to determine whether metabolite concentrations could differentiate between healthy subjects and lung cancer patients, as well as risk prediction modeling applied to determine whether metabolic profiles could provide an indication of cancer progression in later stage patients. : A panel consisting of 14 metabolites, which included 6 metabolites in the polyamine pathway, was identified that correctly discriminated lung cancer patients from controls with an area under the curve of 0.97 (95% CI: 0.875-1.0). When used in conjunction with the SSAT-1/polyamine pathway, these metabolites may provide the specificity required for diagnosing lung cancer from other cancer types and could be used as a diagnostic and treatment monitoring tool.

摘要

肺癌是全球癌症相关死亡的最常见原因。早期诊断对于提高患者的治愈几率至关重要。低剂量CT筛查可降低肺癌死亡率,但它存在一些局限性。代谢组学因其能够提供化学表型数据,是一种很有前景的癌症诊断技术。我们研究的目的是探索肺癌患者的代谢组学效应和特征,以确定SSAT-1/多胺途径中的代谢紊乱是否可以作为诊断和治疗监测工具,区分健康参与者和肺癌患者。:作为SSAT1金刚烷胺癌症研究的一部分,收集了血浆样本。采用液相色谱-串联质谱法(LC-MS/MS)鉴定和定量肺癌患者和对照样本中的代谢物浓度。进行标准统计分析以确定代谢物浓度是否可以区分健康受试者和肺癌患者,以及应用风险预测模型来确定代谢谱是否可以为晚期患者的癌症进展提供指示。:鉴定出一个由14种代谢物组成的小组,其中包括多胺途径中的6种代谢物,其正确区分肺癌患者和对照的曲线下面积为0.97(95%CI:0.875-1.0)。当与SSAT-1/多胺途径结合使用时,这些代谢物可能提供从其他癌症类型中诊断肺癌所需的特异性,并可作为诊断和治疗监测工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fb11/6721278/4b7a44b5b8a4/cancers-11-01069-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验