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Identification of arginine and its “Downstream” molecules as potential markers of breast cancer
Author(s) -
Hu Lu,
Gao Yu,
Cao Yunfeng,
Zhang Yinxu,
Xu Minghao,
Wang Yuanyuan,
Jing Yu,
Guo Shengnan,
Jing Fangyu,
Hu Xiaodan,
Zhu Zhitu
Publication year - 2016
Publication title -
iubmb life
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.132
H-Index - 113
eISSN - 1521-6551
pISSN - 1521-6543
DOI - 10.1002/iub.1557
Subject(s) - identification (biology) , downstream (manufacturing) , arginine , breast cancer , computational biology , chemistry , molecule , cancer , biology , cancer research , microbiology and biotechnology , biochemistry , genetics , amino acid , engineering , botany , operations management , organic chemistry
Summary Breast cancer (BC) is the most commonly diagnosed cancer in women worldwide. Arginine is a semiessential amino acid in humans and is essential for several biological pathways in malignant and normal cells, such as ornithine and N1, N12‐diacetylspermine (DiAcSpm). This study aimed to determine the role of arginine and these downstream molecules in BC. Plasma arginine, ornithine, and arginine–to–ornithine ratio (AOR) were analysed by liquid chromatography‐tandem mass spectrometry (LC‐MS/MS). Urine samples were measured by the colloid gold aggregation to test determination of urinary diAcSpm. A principal component analysis was performed to evaluate the results observed between breast tumor and control characteristics. Differences in individual metabolite concentrations between BC patients and controls were tested by receiver operating characteristics (ROC) analyses. Student's t tests were used to detect the differences between two groups of normally distributed variables, and Wilcoxon sign rank tests were performed for asymmetrically distributed variables. As we analyzed, BC patients had lower plasma arginine and arginine/ornithine level, and higher plasma ornithine and urinary DiAcSpm concentrations as compared with control patients ( P = 0.028, 0.020, 0.002, and 0.011, respectively). And the ROC curve was drawn and the area under the curve of the metabolites was calculated to be 0.659 ( P = 0.028), 0.645 ( P = 0.045), 0.7233 ( P = 0.002), 0.683 ( P = 0.011), respectively. In addition, our analysis showed that arginine concentrations and AOR had a positive correlation with ER status, while ornithine had a negative correlation with T stage ( P = 0.042, 0.083, 0.023, respectively).In conclusion, arginine and these downstream molecules were biomarkers for BC. More studies are needed to highlight the theoretical strengths. © 2016 IUBMB Life, 68(10):817–822, 2016