Molecular Signature of Cancer at Gene Level or Pathway Level? Case Studies of Colorectal Cancer and Prostate Cancer Microarray Data
Joint Authors
Zhang, Daqing
Wang, Ying
Chen, Jiajia
Shen, Bairong
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-01-16
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
With recent advances in microarray technology, there has been a flourish in genome-scale identification of molecular signatures for cancer.
However, the differentially expressed genes obtained by different laboratories are highly divergent.
The present discrepancy at gene level indicates a need for a novel strategy to obtain more robust signatures for cancer.
In this paper we hypothesize that (1) the expression signatures of different cancer microarray datasets are more similar at pathway level than at gene level; (2) the comparability of the cancer molecular mechanisms of different individuals is related to their genetic similarities.
In support of the hypotheses, we summarized theoretical and experimental evidences, and conducted case studies on colorectal and prostate cancer microarray datasets.
Based on the above assumption, we propose that reliable cancer signatures should be investigated in the context of biological pathways, within a cohort of genetically homogeneous population.
It is hoped that the hypotheses can guide future research in cancer mechanism and signature discovery.
American Psychological Association (APA)
Chen, Jiajia& Wang, Ying& Shen, Bairong& Zhang, Daqing. 2013. Molecular Signature of Cancer at Gene Level or Pathway Level? Case Studies of Colorectal Cancer and Prostate Cancer Microarray Data. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-507325
Modern Language Association (MLA)
Chen, Jiajia…[et al.]. Molecular Signature of Cancer at Gene Level or Pathway Level? Case Studies of Colorectal Cancer and Prostate Cancer Microarray Data. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-507325
American Medical Association (AMA)
Chen, Jiajia& Wang, Ying& Shen, Bairong& Zhang, Daqing. Molecular Signature of Cancer at Gene Level or Pathway Level? Case Studies of Colorectal Cancer and Prostate Cancer Microarray Data. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-507325
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-507325