Stable isotope-resolved metabolomics analyses of metabolic phenotypes reveal variable glutamine metabolism in different patient-derived models of non-small cell lung cancer from a single patient

IF 3.5 3区 医学 Q2 ENDOCRINOLOGY & METABOLISM
Connor J. Kinslow, Michael Bousamra ll, Yihua Cai, Jun Yan, Pawel K. Lorkiewicz, Ahmad Al-Attar, Jinlian Tan, Richard M. Higashi, Andrew N. Lane, Teresa W-M. Fan
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Abstract

Introduction

Stable isotope tracers have been increasingly used in preclinical cancer model systems, including cell culture and mouse xenografts, to probe the altered metabolism of a variety of cancers, such as accelerated glycolysis and glutaminolysis and generation of oncometabolites. Comparatively little has been reported on the fidelity of the different preclinical model systems in recapitulating the aberrant metabolism of tumors.

Objectives

We have been developing several different experimental model systems for systems biochemistry analyses of non-small cell lung cancer (NSCLC1) using patient-derived tissues to evaluate appropriate models for metabolic and phenotypic analyses.

Methods

To address the issue of fidelity, we have carried out a detailed Stable Isotope-Resolved Metabolomics study of freshly resected tissue slices, mouse patient derived xenografts (PDXs), and cells derived from a single patient using both 13C6-glucose and 13C5,15N2-glutamine tracers.

Results

Although we found similar glucose metabolism in the three models, glutamine utilization was markedly higher in the isolated cell culture and in cell culture-derived xenografts compared with the primary cancer tissue or direct tissue xenografts (PDX).

Conclusions

This suggests that caution is needed in interpreting cancer biochemistry using patient-derived cancer cells in vitro or in xenografts, even at very early passage, and that direct analysis of patient derived tissue slices provides the optimal model for ex vivo metabolomics. Further research is needed to determine the generality of these observations.

Abstract Image

稳定同位素分辨代谢组学分析表明,来自单一患者的不同非小细胞肺癌患者衍生模型的谷氨酰胺代谢各不相同
导言稳定同位素示踪剂已越来越多地用于临床前癌症模型系统,包括细胞培养和小鼠异种移植,以探究各种癌症的代谢改变,如加速糖酵解和谷氨酰胺酵解以及产生副代谢产物。我们一直在开发几种不同的实验模型系统,利用患者来源的组织对非小细胞肺癌(NSCLC1)进行系统生物化学分析,以评估代谢和表型分析的合适模型。方法为了解决保真度问题,我们使用 13C6 葡萄糖和 13C5,15N2 谷氨酰胺示踪剂对新鲜切除的组织切片、小鼠患者衍生异种移植物 (PDX) 和单个患者衍生细胞进行了详细的稳定同位素分辨代谢组学研究。结果虽然我们发现这三种模型中的葡萄糖代谢相似,但与原发性癌症组织或直接组织异种移植(PDX)相比,谷氨酰胺在分离细胞培养物和细胞培养物衍生的异种移植中的利用率明显更高。要确定这些观察结果的普遍性,还需要进一步的研究。
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来源期刊
Metabolomics
Metabolomics 医学-内分泌学与代谢
CiteScore
6.60
自引率
2.80%
发文量
84
审稿时长
2 months
期刊介绍: Metabolomics publishes current research regarding the development of technology platforms for metabolomics. This includes, but is not limited to: metabolomic applications within man, including pre-clinical and clinical pharmacometabolomics for precision medicine metabolic profiling and fingerprinting metabolite target analysis metabolomic applications within animals, plants and microbes transcriptomics and proteomics in systems biology Metabolomics is an indispensable platform for researchers using new post-genomics approaches, to discover networks and interactions between metabolites, pharmaceuticals, SNPs, proteins and more. Its articles go beyond the genome and metabolome, by including original clinical study material together with big data from new emerging technologies.
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