Author:
Kim Kyung Soo,Moon Seok Whan,Moon Mi Hyung,Hyun Kwan Yong,Kim Seung Joon,Kim Young Koon,Kim Kwang Youl,Jekarl Dong Wook,Oh Eun-Jee,Kim Yonggoo
Abstract
AbstractThe metabolic profile of cancerous cells is shifted to meet the cellular demand required for proliferation and growth. Here we show the features of cancer metabolic profiles using peripheral blood of healthy control subjects (n = 78) and lung adenocarcinoma (LUAD) patients (n = 64). Among 121 detected metabolites, diagnosis of LUAD is based on arginine, lysophosphatidylcholine-acyl (Lyso.PC.a) C16:0, and PC-diacyl (PC.aa) C38:3. Network analysis revealed that network heterogeneity, diameter, and shortest path were decreased in LUAD. On the contrary, these parameters were increased in advanced-stage compared to early-stage LUAD. Clustering coefficient, network density, and average degree were increased in LUAD compared to the healthy control, whereas these topologic parameters were decreased in advanced-stage compared to early-stage LUAD. Public LUAD data verified that the genes encoding enzymes for arginine (NOS, ARG, AZIN) and for Lyso.PC and PC (CHK, PCYT, LPCAT) were related with overall survival. Further studies are required to verify these results with larger samples and other histologic types of lung cancer.
Funder
Seoul St. Mary's Hospital, Catholic University of Korea
National Research Foundation of Korea
Publisher
Springer Science and Business Media LLC
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