Gene Expression Correlation for Cancer Diagnosis : A Pilot Study
Joint Authors
Liu, Qiang
Yang, Jian
Chen, Lifeng
Ling, Binbing
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-04-09
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
Poor prognosis for late-stage, high-grade, and recurrent cancers has been motivating cancer researchers to search for more efficient biomarkers to identify the onset of cancer.
Recent advances in constructing and dynamically analyzing biomolecular networks for different types of cancer have provided a promising novel strategy to detect tumorigenesis and metastasis.
The observation of different biomolecular networks associated with normal and cancerous states led us to hypothesize that correlations for gene expressions could serve as valid indicators of early cancer development.
In this pilot study, we tested our hypothesis by examining whether the mRNA expressions of three randomly selected cancer-related genes PIK3C3, PIM3, and PTEN were correlated during cancer progression and the correlation coefficients could be used for cancer diagnosis.
Strong correlations (0.68≤r≤1.0) were observed between PIK3C3 and PIM3 in breast cancer, between PIK3C3 and PTEN in breast and ovary cancers, and between PIM3 and PTEN in breast, kidney, liver, and thyroid cancers during disease progression, implicating that the correlations for cancer network gene expressions could serve as a supplement to current clinical biomarkers, such as cancer antigens, for early cancer diagnosis.
American Psychological Association (APA)
Ling, Binbing& Chen, Lifeng& Liu, Qiang& Yang, Jian. 2014. Gene Expression Correlation for Cancer Diagnosis : A Pilot Study. BioMed Research International،Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-457693
Modern Language Association (MLA)
Ling, Binbing…[et al.]. Gene Expression Correlation for Cancer Diagnosis : A Pilot Study. BioMed Research International No. 2014 (2014), pp.1-6.
https://search.emarefa.net/detail/BIM-457693
American Medical Association (AMA)
Ling, Binbing& Chen, Lifeng& Liu, Qiang& Yang, Jian. Gene Expression Correlation for Cancer Diagnosis : A Pilot Study. BioMed Research International. 2014. Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-457693
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-457693