TY - JOUR
T1 - The use of quantitative proteomics towards biomarker discovery in lung squamous cell carcinoma
AU - Whitsett, Timothy G.
AU - Inge, Landon J.
AU - Tran, Nhan L.
N1 - Funding Information:
This work was supported by National Institutes of Health (NIH) grant R01 CA130940 (NLT), and grants from the St, Joseph's Foundation and American Lung Association, RG-224607-N (LJI).
Publisher Copyright:
© Translational lung cancer research. All rights reserved.
PY - 2013
Y1 - 2013
N2 - The high mortality rate in advanced lung cancer, due to a preponderance of tumors discovered at advanced stage, demands the discovery and clinical validation of biomarkers for diagnosing early stage disease. Quantitative proteomics technologies are capable of identifying protein biomarkers with diagnostic, prognostic, and predictive value. Recent works have demonstrated the utility in using quantitative proteomics across normal, pre-cancerous, and cancerous lesions towards the discovery of biomarkers for early stage lung cancer, as well as discovering novel mechanisms of lung carcinogenesis.
AB - The high mortality rate in advanced lung cancer, due to a preponderance of tumors discovered at advanced stage, demands the discovery and clinical validation of biomarkers for diagnosing early stage disease. Quantitative proteomics technologies are capable of identifying protein biomarkers with diagnostic, prognostic, and predictive value. Recent works have demonstrated the utility in using quantitative proteomics across normal, pre-cancerous, and cancerous lesions towards the discovery of biomarkers for early stage lung cancer, as well as discovering novel mechanisms of lung carcinogenesis.
KW - Glutathione s-transferase pi 1 (GSTP1)
KW - Isobaric tags for relative and absolute quantitation (iTRAQ)
KW - Lung squamous cell carcinoma
KW - Proteomics
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U2 - 10.3978/j.issn.2218-6751.2013.10.17
DO - 10.3978/j.issn.2218-6751.2013.10.17
M3 - Article
AN - SCOPUS:84959868473
SN - 2218-6751
VL - 2
SP - 457
EP - 460
JO - Translational Lung Cancer Research
JF - Translational Lung Cancer Research
IS - 6
ER -