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Journal article
Bioinformatic approaches to augment study of epithelial-to-mesenchymal transition in lung cancer
Physiological genomics, v 46(19), pp 699-724
01 Oct 2014
PMID: 25096367
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Bioinformatic approaches are intended to provide systems level insight into the complex biological processes that underlie serious diseases such as cancer. In this review we describe current bioinformatic resources, and illustrate how they have been used to study a clinically important example: epithelial-to-mesenchymal transition (EMT) in lung cancer. Lung cancer is the leading cause of cancer-related deaths and is often diagnosed at advanced stages, leading to limited therapeutic success. While EMT is essential during development and wound healing, pathological reactivation of this program by cancer cells contributes to metastasis and drug resistance, both major causes of death from lung cancer. Challenges of studying EMT include its transient nature, its molecular and phenotypic heterogeneity, and the complicated networks of rewired signaling cascades. Given the biology of lung cancer and the role of EMT, it is critical to better align the two in order to advance the impact of precision oncology. This task relies heavily on the application of bioinformatic resources. Besides summarizing recent work in this area, we use four EMT-associated genes, TGF-β (TGFB1), NEDD9/HEF1, β-catenin (CTNNB1) and E-cadherin (CDH1), as exemplars to demonstrate the current capacities and limitations of probing bioinformatic resources to inform hypothesis-driven studies with therapeutic goals.
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Details
- Title
- Bioinformatic approaches to augment study of epithelial-to-mesenchymal transition in lung cancer
- Creators
- Tim N Beck - Fox Chase Cancer CenterAdaeze J Chikwem - Fox Chase Cancer CenterNehal R Solanki - Fox Chase Cancer CenterErica A Golemis - Fox Chase Cancer Center
- Publication Details
- Physiological genomics, v 46(19), pp 699-724
- Publisher
- American Physiological Society (APS)
- Grant note
- U54 CA-149147 / NCI NIH HHS F30 CA180607 / NCI NIH HHS P50 CA-083638 / NCI NIH HHS R21 CA-181287 / NCI NIH HHS P30 CA006927 / NCI NIH HHS CA-06927 / NCI NIH HHS R21 CA181287 / NCI NIH HHS R01 CA-63366 / NCI NIH HHS F30 CA-180607 / NCI NIH HHS
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Biochemistry and Molecular Biology
- Web of Science ID
- WOS:000343281600001
- Scopus ID
- 2-s2.0-84991535758
- Other Identifier
- 991019319082504721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Cell Biology
- Genetics & Heredity
- Physiology