Next Article in Journal
Reactive Oxygen Species and Antitumor Immunity—From Surveillance to Evasion
Previous Article in Journal
Cancer Stem Cell-Inducing Media Activates Senescence Reprogramming in Fibroblasts
Previous Article in Special Issue
The Progression of Acute Myeloid Leukemia from First Diagnosis to Chemoresistant Relapse: A Comparison of Proteomic and Phosphoproteomic Profiles
Open AccessCommunication

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

1
Drug Discovery and Development Research Group, College of Pharmacy and Nutrition, University of Saskatchewan, 107 Wiggins Road, Saskatoon, SK S7N 5E5, Canada
2
Institute of Biological Sciences, Faculty of Science, University of Malaya, Kuala Lumpur 50603, Malaysia
3
Department of Pharmacology, JSS College of Pharmacy, JSS Academy of Higher Education & Research (JSSAHER), Mysuru 570 015, India
4
Ageing and Dementia Research Group, Sultan Qaboos University, Muscat 123, Oman
5
Department of Food Science and Nutrition, College of Agricultural and Marine Sciences, Sultan Qaboos University, Muscat 123, Oman
*
Authors to whom correspondence should be addressed.
Cancers 2020, 12(7), 1747; https://doi.org/10.3390/cancers12071747
Received: 17 June 2020 / Revised: 26 June 2020 / Accepted: 29 June 2020 / Published: 1 July 2020
(This article belongs to the Special Issue Innovations in Cancer Diagnostic Evaluation and Biomarker Detection)
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. View Full-Text
Keywords: sphingolipid; gene expression; gene pair correlation; breast cancer; biomarker sphingolipid; gene expression; gene pair correlation; breast cancer; biomarker
Show Figures

Figure 1

MDPI and ACS Style

Sakharkar, M.K.; Kaur Dhillon, S.; Chidambaram, S.B.; Essa, M.M.; Yang, J. Gene Pair Correlation Coefficients in Sphingolipid Metabolic Pathway as a Potential Prognostic Biomarker for Breast Cancer. Cancers 2020, 12, 1747.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop