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Integrated omics and gene expression analysis identifies the loss of metabolite–metabolite correlations in small cell lung cancer

Overview of attention for article published in OncoTargets and therapy, July 2018
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Title
Integrated omics and gene expression analysis identifies the loss of metabolite–metabolite correlations in small cell lung cancer
Published in
OncoTargets and therapy, July 2018
DOI 10.2147/ott.s166149
Pubmed ID
Authors

Li Yu, Kefeng Li, Zhaoguo Xu, Guoyuan Cui, Xiaoye Zhang

Abstract

Small cell lung cancer (SCLC) is the most aggressive type of lung carcinoma with high metastatic potential and chemoresistance upon relapse. Cancer cells remodel the existing metabolic pathways for their benefits and the perturbations in cellular metabolism are the hallmark of cancer. However, the extent of these changes remains largely unknown for SCLC. We characterized the metabolic perturbations in SCLC cells (SCLCC) by metabolomics. Large-scale correlation analysis was performed between metabolites. Targeted proteomics and gene expression analysis were employed to investigate the changes of key enzymes and genes in the disturbed pathways. We found dramatic decrease of metabolite-metabolite correlations in SCLCC compared with normal control cells and non-small cell lung cancer cells. Pathway analysis revealed that the loss of correlations was associated with the alternations of fatty acid oxidation, urea cycle, and purine salvage pathway in SCLCC. Targeted proteomics and gene expression analysis confirmed significant changes of the expression for the key enzymes and genes in the pathways in SCLCC including the upregulation of carbamoyl phosphate synthase 1 (urea cycle) and carnitine palmitoyltransferase 1A (fatty acid oxidation), and the downregulation of hypoxanthine-guanine phosphoribosyltransferase and adenine phosphoribosyltransferase in purine salvage pathway. We demonstrated the loss of metabolite-metabolite correlations in SCLCC associated with the upregulation of fatty acid oxidation and urea cycle and the downregulation of purine salvage pathways. Our findings provide insights into the metabolic reprogramming in SCLCC and highlight the potential therapeutic targets for the treatment of SCLC.

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Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 3 17%
Researcher 3 17%
Student > Master 3 17%
Student > Ph. D. Student 2 11%
Lecturer 1 6%
Other 1 6%
Unknown 5 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 28%
Unspecified 3 17%
Agricultural and Biological Sciences 2 11%
Medicine and Dentistry 1 6%
Unknown 7 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 July 2018.
All research outputs
#20,845,819
of 25,611,630 outputs
Outputs from OncoTargets and therapy
#1,602
of 3,013 outputs
Outputs of similar age
#266,815
of 342,210 outputs
Outputs of similar age from OncoTargets and therapy
#65
of 108 outputs
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