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肺癌诊断与治疗中代谢相关生物标志物的综述

A review of metabolism-associated biomarkers in lung cancer diagnosis and treatment.

作者信息

Bamji-Stocke Sanaya, van Berkel Victor, Miller Donald M, Frieboes Hermann B

机构信息

Department of Bioengineering, University of Louisville, Lutz Hall 419, Louisville, KY, 40208, USA.

Department of Cardiovascular and Thoracic Surgery, University of Louisville, Louisville, KY, USA.

出版信息

Metabolomics. 2018 Jun;14(6):81. doi: 10.1007/s11306-018-1376-2. Epub 2018 Jun 1.

Abstract

INTRODUCTION

Lung cancer continues to be the leading cause of cancer-related mortality worldwide. Early detection has proven essential to extend survival. Genomic and proteomic advances have provided impetus to the effort dedicated to detect and diagnose the disease at an earlier stage. Recently, the study of metabolites associated with tumor formation and progression has inaugurated the era of cancer metabolomics to aid in this effort.

OBJECTIVES

This review summarizes recent work regarding novel metabolites with the potential to serve as biomarkers for early lung tumor detection, evaluation of disease progression, and prediction of patient outcomes.

METHOD

We compare the metabolite profiling of cancer patients with that of healthy individuals, and the metabolites identified in tissue and biofluid samples and their usefulness as lung cancer biomarkers. We discuss metabolite alterations in tumor versus paired non-tumor lung tissues, as well as metabolite alterations in different stages of lung cancers and their usefulness as indicators of disease progression and overall survival. We evaluate metabolite dysregulation in different types of lung cancers, and those associated with lung cancer versus other lung diseases. We also examine metabolite differences between lung cancer patients and smokers/risk-factor individuals.

RESULT

Although an extensive list of metabolites has been evaluated to distinguish between these cases, refinement of methods is further required for adequate patient diagnosis.

CONCLUSION

We conclude that with technological advancement, metabolomics may be able to replace more invasive and costly diagnostic procedures while also providing the means to more effectively tailor treatment to patient-specific tumors.

摘要

引言

肺癌仍然是全球癌症相关死亡的主要原因。早期检测已被证明是延长生存期的关键。基因组学和蛋白质组学的进展推动了在更早阶段检测和诊断该疾病的努力。最近,对与肿瘤形成和进展相关的代谢物的研究开启了癌症代谢组学时代,以助力这一努力。

目的

本综述总结了近期关于新型代谢物的研究工作,这些代谢物有潜力作为早期肺肿瘤检测、疾病进展评估和患者预后预测的生物标志物。

方法

我们比较了癌症患者与健康个体的代谢物谱,以及在组织和生物流体样本中鉴定出的代谢物及其作为肺癌生物标志物的效用。我们讨论了肿瘤与配对的非肿瘤肺组织中的代谢物改变,以及肺癌不同阶段的代谢物改变及其作为疾病进展和总生存期指标的效用。我们评估了不同类型肺癌中的代谢物失调,以及与肺癌和其他肺部疾病相关的代谢物失调。我们还研究了肺癌患者与吸烟者/有风险因素个体之间的代谢物差异。

结果

尽管已经评估了大量代谢物以区分这些情况,但仍需要进一步完善方法以进行充分的患者诊断。

结论

我们得出结论,随着技术进步,代谢组学或许能够取代侵入性更强且成本更高的诊断程序,同时还能提供手段更有效地为患者特异性肿瘤量身定制治疗方案。

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