Gene pair correlation coefficients in sphingolipid metabolic pathway as a potential prognostic biomarker for breast cancer

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

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

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.

Original languageEnglish
Article number1747
Pages (from-to)1-8
Number of pages8
JournalCancers
Volume12
Issue number7
DOIs
Publication statusPublished - 2020

Keywords

  • Biomarker
  • Breast cancer
  • Gene expression
  • Gene pair correlation
  • Sphingolipid

ASJC Scopus subject areas

  • Oncology
  • Cancer Research

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