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鞘脂代谢途径中的基因对相关系数作为乳腺癌潜在的预后生物标志物

Gene Pair Correlation Coefficients in Sphingolipid Metabolic Pathway as a Potential Prognostic Biomarker for Breast Cancer.

作者信息

Sakharkar Meena Kishore, Kaur Dhillon Sarinder, Chidambaram Saravana Babu, Essa Musthafa Mohamed, Yang Jian

机构信息

Drug Discovery and Development Research Group, College of Pharmacy and Nutrition, University of Saskatchewan, 107 Wiggins Road, Saskatoon, SK S7N 5E5, Canada.

Institute of Biological Sciences, Faculty of Science, University of Malaya, Kuala Lumpur 50603, Malaysia.

出版信息

Cancers (Basel). 2020 Jul 1;12(7):1747. doi: 10.3390/cancers12071747.

Abstract

Complex diseases such as cancer are usually governed by dynamic and simultaneous modifications of multiple genes. Since sphingolipids are potent bioactive molecules and regulate many important pathophysiological processes such as carcinogenesis, we studied the gene pair correlations of 36 genes (31 genes in the sphingolipid metabolic pathway and 5 genes encoding the sphingosine-1-phosphate receptors) between breast cancer patients and healthy controls. It is remarkable to observe that the gene expressions were widely and strongly correlated in healthy controls but in general lost in breast cancer patients. This study suggests that gene pair correlation coefficients could be applied as a systematic and novel method for the diagnosis and prognosis of breast cancer.

摘要

诸如癌症这样的复杂疾病通常由多个基因的动态且同时发生的修饰所调控。由于鞘脂是强效生物活性分子且调控许多重要的病理生理过程,如致癌作用,我们研究了乳腺癌患者与健康对照之间36个基因(鞘脂代谢途径中的31个基因和5个编码1-磷酸鞘氨醇受体的基因)的基因对相关性。值得注意的是,在健康对照中基因表达广泛且强烈相关,但在乳腺癌患者中总体上这种相关性丧失了。这项研究表明基因对相关系数可作为一种用于乳腺癌诊断和预后的系统且新颖的方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d142/7409333/499bf47ed40a/cancers-12-01747-g001.jpg

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