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

doi:10.3390/cancers12071747

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

Food Science and Nutrition

Research output: Contribution to journal › Article › peer-review

9 Citations (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 language	English
Article number	1747
Pages (from-to)	1-8
Number of pages	8
Journal	Cancers
Volume	12
Issue number	7
DOIs	https://doi.org/10.3390/cancers12071747
Publication status	Published - Jul 1 2020

Keywords

Biomarker
Breast cancer
Gene expression
Gene pair correlation
Sphingolipid

ASJC Scopus subject areas

Oncology
Cancer Research

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.3390/cancers12071747

Cite this

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

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.",

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doi = "10.3390/cancers12071747",

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T1 - Gene pair correlation coefficients in sphingolipid metabolic pathway as a potential prognostic biomarker for breast cancer

AU - Sakharkar, Meena Kishore

AU - Dhillon, Sarinder Kaur

AU - Chidambaram, Saravana Babu

AU - Essa, Musthafa Mohamed

AU - Yang, Jian

PY - 2020/7/1

Y1 - 2020/7/1

N2 - 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.

AB - 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.

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KW - Gene expression

KW - Gene pair correlation

KW - Sphingolipid

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

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

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