Predictive, preventive and personalized medicine is the common goal of patients and health-care providers. The completion of the human genome project and genetic screenings of several hundreds of human cancers over the last years, have led to the identification of hundreds of """"""""driver"""""""" kinase mutations in different types of cancers. To take advantage of the information emerging from these studies, our long-term efforts are directed towards applying advanced systems biology methodologies to better define the consequences of combined mutations in head and neck squamous cell carcinomas (HNSCC). Such an approach will allow patient tailored therapies to be prescribed in the future, resulting in higher cure rates and lower toxicity. In addition to oncogenic mutations, another important regulatory component of cell signaling is represented by the generation of reactive oxygen species (ROS) in response to growth factors initiated signaling, radiation therapy, drugs/xenobiotics metabolism and other factors. The combined contribution of oncogenic mutations and oxidation of signaling proteins in HNSCC or other cancers has received little attention. The redox regulation of signaling networks is particularly important in the context of radiation therapies as little is known about the interaction of radiation induced ROS and signaling pathways that promote cell death or cell proliferation. To investigate the redox regulation of signaling networks that control tumor growth and the response to radiation and drug therapies, we describe here a cross-disciplinary, translational approach based on i] proteomics methodologies, ii] specific instrumentation for cellular stimulation with growth factors with millisecond time resolution, iii] first time use of highly specific molecular probes for the detection of sulfenic acid containing proteins as key intermediates in redox signaling, and iv] computational methods to integrate and evaluate the massive amount of data generated by the proteomics approach. We propose to define targets of protein oxidation and protein phosphorylation under normal (EGF stimulation) and therapeutic conditions (radiation plus or minus Erlotinib) using an isogenic radiation-resistant model of HNSCC. Also, we describe a series of follow-up studies to assess the consequences of oxidative modification on protein function and radiation resistance phenotype for a selected number of signaling proteins identified as oxidized by the proteomics studies. The outcome of this project will yield a systems-level understanding of phospho- and oxidative signaling following radiation, both in sensitive and resistant cell lines. This proposal combines multiple sets of experimental data, modeling, and theory for developing a systems-level understanding of properties and biological consequences of these perturbations.
With the completion of the human genome project and the advances in genomic screening of different types of cancers, a more complete understanding of the molecular mechanism that links the genetic background of an individual with the response to radiation or drug therapies is critically needed. Along with heart disease, cancer is the leading cause of death in US and according to the Cancer Statistics released last year by the American Cancer Society, there has been a dramatic decrease in the US death rates caused by heart disease, from 586.8 in 1950 to 231.6 in 2003 (rate per 100,000 patients). At the same time, there was only a very modest improvement in the rate of cancer related deaths, from 193.9 in 1950 to 190.1 in 2003. To tackle cancer, we are taking a translational approach to dissect the mechanism of resistance to radiation therapies and identify molecular predictors of response to radiation and drug therapies so that more patient tailored therapies could be prescribed in the future. The cross-disciplinary research effort described here will bring significant impact by advancing novel biological paradigms inspired by kinetics and proteomics approaches to cell signaling. For the broader impact, this will also increase the participation and training of high quality PhD and MD/PhD students in translational science and enhance the infrastructure for research at Wake Forest University Medical School by introducing advanced instrumentation and highlighting the connections between the interdisciplinary Molecular Medicine graduate program and clinical research.
|Devarie-Baez, Nelmi O; Silva Lopez, Elsa I; Furdui, Cristina M (2016) Biological chemistry and functionality of protein sulfenic acids and related thiol modifications. Free Radic Res 50:172-94|
|Chen, Xiaofei; Liu, Liang; Mims, Jade et al. (2015) Analysis of DNA methylation and gene expression in radiation-resistant head and neck tumors. Epigenetics 10:545-61|
|Mims, Jade; Bansal, Nidhi; Bharadwaj, Manish S et al. (2015) Energy metabolism in a matched model of radiation resistance for head and neck squamous cell cancer. Radiat Res 183:291-304|
|Baez, Nelmi O Devarie; Reisz, Julie A; Furdui, Cristina M (2015) Mass spectrometry in studies of protein thiol chemistry and signaling: opportunities and caveats. Free Radic Biol Med 80:191-211|
|Reisz, Julie A; Bansal, Nidhi; Qian, Jiang et al. (2014) Effects of ionizing radiation on biological molecules--mechanisms of damage and emerging methods of detection. Antioxid Redox Signal 21:260-92|
|Bansal, Nidhi; Mims, Jade; Kuremsky, Jeffrey G et al. (2014) Broad phenotypic changes associated with gain of radiation resistance in head and neck squamous cell cancer. Antioxid Redox Signal 21:221-36|
|Furdui, Cristina M; Poole, Leslie B (2014) Chemical approaches to detect and analyze protein sulfenic acids. Mass Spectrom Rev 33:126-46|
|Furdui, Cristina M (2014) Ionizing radiation: mechanisms and therapeutics. Antioxid Redox Signal 21:218-20|
|Poole, Thomas H; Reisz, Julie A; Zhao, Weiling et al. (2014) Strained cycloalkynes as new protein sulfenic acid traps. J Am Chem Soc 136:6167-70|
|Haynes, Alexina C; Qian, Jiang; Reisz, Julie A et al. (2013) Molecular basis for the resistance of human mitochondrial 2-Cys peroxiredoxin 3 to hyperoxidation. J Biol Chem 288:29714-23|
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