Radka Stoyanova, Ph.D.
Associate Professor of Radiation Oncology
Description of Research
Dr. Stoyanova’s research is dedicated to the development and implementation of techniques for imaging, genomics and metabolomics data analysis to ensure optimum and accurate retrieval of information from large and complex biomedical datasets. Her initial work was related to analysis of phosphorus and proton in vivo NMR spectroscopy data related to cancer in Fox Chase Cancer Center, Philadelphia. She obtained her doctoral training from Imperial College London under the mentorship of Profs. J.K. Nicholson and J.C. Lindon, who pioneered the application of pattern recognition techniques to NMR. Through her doctoral work she gathered experience of analyzing high resolution NMR data in biofluids and tissues. Dr. Stoyanova also expanded her expertise with analysis of gene microarray data within the Fox Chase Cancer Center genetics program under the leadership of Dr. Alfred Knudson. Dr. Stoyanova has published extensively in all three areas – in vivo and in vitro spectroscopy, as well as microarray analysis.
Dr. Stoyanova’s current projects are related to application of imaging for delineation and visualization of the tumor for proper delivery of radiotherapy. Primary brain tumors are infiltrative by nature and identifying the treatment volumes outside of the visible MRI lesion is challenging. Proton MRI spectroscopy can provide the measurement of several metabolites, some of which (Choline, N-acetylaspartade) have been related to malignancy. Dr. Stoyanova also utilizes Dynamic Contrast Enhanced MRI of the prostate to identify areas of neo-angeogenesis. The delineated volumes can be targeted with radiation boost for full eradication of cancer.
- Developing Principal Component Analysis-based techniques for identification and removal of spectral artifacts, such as frequency and phase shifts and line width variations. The approach is further extended to high-resolution NMR spectra for metabolomics applications and normalization of cDNA microarrays.
- Developing unsupervised pattern recognition approaches for analysis of large and complex datasets. The techniques are applied to metabolomics, imaging and genomics datasets
- Identification areas of tumor microenvironment and in particular hypoxic regions based on in vivo imaging.
Selected Cancer-Related Publications
- Stoyanova R, Pahlajani NH, Egleston BL, Buyyounouski MK, Chen DY, Horwitz EM, Pollack A. The impact of dose-escalated radiotherapy plus androgen deprivation for prostate cancer using 2 linked nomograms. Cancer 119:1080-8,2013 Read more »
- Han SH, Ackerstaff E, Stoyanova R, Carlin S, Huang W, Koutcher JA, Kim JK, Cho G, Jang G, Cho H. Gaussian mixture model-based classification of dynamic contrast enhanced MRI data for identifying diverse tumor microenvironments: preliminary results. NMR Biomed 26:519-32,2013 Read more »
- Pollack A, Walker G, Horwitz EM, Price R, Feigenberg S, Konski AA, Stoyanova R, Movsas B, Greenberg RE, Uzzo RG, Ma C, Buyyounouski MK. Randomized trial of hypofractionated external-beam radiotherapy for prostate cancer. J Clin Oncol 31:3860-8,2013 Read more »
- Stoyanova R, Huang K, Sandler K, Cho H, Carlin S, Zanzonico PB, Koutcher JA, Ackerstaff E. Mapping Tumor Hypoxia In Vivo Using Pattern Recognition of Dynamic Contrast-enhanced MRI Data. Transl Oncol 5:437-47,2012 Read more »
- Patel V, Papineni RV, Gupta S, Stoyanova R, Ahmed MM. A realistic utilization of nanotechnology in molecular imaging and targeted radiotherapy of solid tumors. Radiat Res 177:483-95,2012 Read more »
- Hensley HH, Hannoun-Levi JM, Hachem P, Mu Z, Stoyanova R, Khor LY, Agrawal S, Pollack A. PKA knockdown enhances cell killing in response to radiation and androgen deprivation. Int J Cancer 128:962-73,2011 Read more »
- Udayakumar TS, Stoyanova R, Hachem P, Ahmed MM, Pollack A. Adenovirus E2F1 overexpression sensitizes LNCaP and PC3 prostate tumor cells to radiation in vivo. Int J Radiat Oncol Biol Phys 79:549-58,2011 Read more »