Predicting cancer-related MiRNAs using expression profiles in tumor tissue

Hsiuying Wang

doi:10.2174/1389201015666140519121255

Predicting cancer-related MiRNAs using expression profiles in tumor tissue

Hsiuying Wang^*

^*Corresponding author for this work

Institute of Statistics

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

19 Scopus citations

Abstract

MicroRNAs (miRNAs) are small, noncoding RNAs with important functions in development, cell differentiation, and regulation of cell cycle and apoptosis. Many studies have now shown that miRNAs are involved in the initiation and progression of cancers. In this study, procedures based on the relative R-squared method (RRSM) are proposed to investigate miRNA-mRNA regulatory relationships between 114 miRNAs and 16063 mRNAs for different organic tissues. These procedures are based on comparing the expression profiles in tumor tissue and those in normal tissues, or based on the expression profiles in tumor tissue only. The analyzed results are used to predict high-confident miRNAs for tumor development and their targets. This study predicts many high-confident miRNAs which are associated with colon cancer, prostate cancer, pancreatic cancer, lung cancer, breast cancer, bladder cancer and kidney cancer, respectively.

Original language	English
Pages (from-to)	438-444
Number of pages	7
Journal	Current Pharmaceutical Biotechnology
Volume	15
Issue number	5
DOIs	https://doi.org/10.2174/1389201015666140519121255
State	Published - 1 Sep 2014

Keywords

Cancer
MicroRNA
Microarray expression profile
Normal tissue
The relative R-squared method
Tumor tissue

UN SDGs

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

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10.2174/1389201015666140519121255

Cite this

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title = "Predicting cancer-related MiRNAs using expression profiles in tumor tissue",

abstract = "MicroRNAs (miRNAs) are small, noncoding RNAs with important functions in development, cell differentiation, and regulation of cell cycle and apoptosis. Many studies have now shown that miRNAs are involved in the initiation and progression of cancers. In this study, procedures based on the relative R-squared method (RRSM) are proposed to investigate miRNA-mRNA regulatory relationships between 114 miRNAs and 16063 mRNAs for different organic tissues. These procedures are based on comparing the expression profiles in tumor tissue and those in normal tissues, or based on the expression profiles in tumor tissue only. The analyzed results are used to predict high-confident miRNAs for tumor development and their targets. This study predicts many high-confident miRNAs which are associated with colon cancer, prostate cancer, pancreatic cancer, lung cancer, breast cancer, bladder cancer and kidney cancer, respectively.",

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AB - MicroRNAs (miRNAs) are small, noncoding RNAs with important functions in development, cell differentiation, and regulation of cell cycle and apoptosis. Many studies have now shown that miRNAs are involved in the initiation and progression of cancers. In this study, procedures based on the relative R-squared method (RRSM) are proposed to investigate miRNA-mRNA regulatory relationships between 114 miRNAs and 16063 mRNAs for different organic tissues. These procedures are based on comparing the expression profiles in tumor tissue and those in normal tissues, or based on the expression profiles in tumor tissue only. The analyzed results are used to predict high-confident miRNAs for tumor development and their targets. This study predicts many high-confident miRNAs which are associated with colon cancer, prostate cancer, pancreatic cancer, lung cancer, breast cancer, bladder cancer and kidney cancer, respectively.

KW - Cancer

KW - MicroRNA

KW - Microarray expression profile

KW - Normal tissue

KW - The relative R-squared method

KW - Tumor tissue

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Predicting cancer-related MiRNAs using expression profiles in tumor tissue

Abstract

Keywords

UN SDGs

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