Genomic based personalized chemotherapy analysis to support decision systems for breast cancer

2015 IEEE International Symposium on Medical Measurements and Applications, MeMeA 2015 - Proceedings

Volumn , Issue , 2015, Pages 495-500

  Saribudak, Aydin ^a   Gundry, Stephen ^a   Zou, Jianmin ^b   Umit Uyar, M ^a  

^a City College of New York   (United States)

^b United States Patent and Trademark Office   (United States)

Author keywords

breast cancer; chemotherapy; gene expressions; I SPY 1 Trial; pharmacodynamics; tumor growth models

Indexed keywords

CELL CULTURE; CELL DEATH; CHEMOTHERAPY; DECISION SUPPORT SYSTEMS; DISEASES; GENE EXPRESSION; PHARMACODYNAMICS; TITRATION; TUMORS;

ANTI-CANCER AGENTS; ANTI-CANCER THERAPIES; BREAST CANCER; BREAST CANCER CELLS; COMPARTMENTAL SYSTEMS; GENETIC INFORMATION; SHRINKAGE PARAMETER; TUMOR GROWTH MODELS;

VOLUME MEASUREMENT;

EID: 84939552785     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MeMeA.2015.7145254     Document Type: Conference Paper

References (18)

1. J. Harrold and R.Parker, "Clinically relevant cancer chemotherapy dose scheduling via mixed-integer optimization," Computers & Chemical Engineering, vol. 33, no. 12, pp. 2042-2054, 2009.
2. L. Norton, "Conceptual and practical implications of breast tissue geometry: toward a more effective, less toxic therapy," The Oncologist, vol. 10, no. 6, pp. 370-381, 2005.
3. M. Simeoni, P. Magni, C. Cammia et al., "Predictive pharmacokinetic pharmacodynamic modeling of tumor growth kinetics in xenograft models after administration of anticancer agents," Cancer Research, vol. 64, pp. 1094-1101, 2004.
4. G. Koch, A. Walz, G. Lahu et al., "Modeling of tumor growth and anticancer effects of combination therapy," Journal of Pharmacokinetcs and Pharmacodynamics, vol. 36, pp. 179-197, 2009.
5. A. Saribudak, E. Ganic, J. Zou, S. Gundry, and M. U. Uyar, "Toward genomic based personalized mathematical models for breast cancer tumor growth," in IEEE 14th Int'l. Conf. on BioInformatics and BioEngineering (BIBE), Nov. 2014, pp. 115-119.
6. E. Ganic, S. Gundry, J. Zou, and M. U. Uyar, "Evaluation of anti-cancer therapy using in silico analysis of treatments for HER2+ breast cancer," in IEEE Intl. Symposium on Medical Measurements and Applications (MeMeA 2014), Lisbon, Portugal, June, 2014, pp. 211-216.
7. R. Edgar, M. Domrachev, and A. E. Lash, "Gene expression omnibus: Ncbi gene expression and hybridization array data repository," Nucleic acids research, vol. 30, no. 1, pp. 207-210, 2002.
8. "NBIA-National Biomedical Imaging Archive," National Institutes of Health, https://imaging.nci.nih.gov/ncia.
9. L. J. van't Veer, H. Dai, M. J. Van De Vijver et al., "Gene expression profiling predicts clinical outcome of breast cancer," nature, vol. 415, no. 6871, pp. 530-536, 2002.
10. A. J. Minn, G. P. Gupta, P. M. Siegel, P. D. Bos, W. Shu, D. D. Giri, A. Viale, A. B. Olshen, W. L. Gerald, and J. Massagué, "Genes that mediate breast cancer metastasis to lung," Nature, vol. 436, no. 7050, pp. 518-524, 2005.
11. X.-J. Ma, S. Dahiya, E. Richardson, M. Erlander, and D. C. Sgroi, "Gene expression profiling of the tumor microenvironment during breast cancer progression," Breast Cancer Res, vol. 11, no. 1, p. R7, 2009.
12. J. W. Park, K. Hong, D. B. Kirpotin, G. Colbern, R. Shalaby, J. Baselga, Y. Shao, U. B. Nielsen, J. D. Marks, D. Moore et al., "Anti-her2 immunoliposomes enhanced efficacy attributable to targeted delivery," Clinical Cancer Research, vol. 8, no. 4, pp. 1172-1181, 2002.
13. S. Man, G. Bocci, G. Francia, S. K. Green, S. Jothy, D. Hanahan, P. Bohlen, D. J. Hicklin, G. Bergers, and R. S. Kerbel, "Antitumor effects in mice of low-dose (metronomic) cyclophosphamide administered continuously through the drinking water," Cancer Research, vol. 62, no. 10, pp. 2731-2735, 2002.
14. M. Rocchetti, M. Simeoni, E. Pesenti et al., "Predicting the active doses in humans from animal studies: A novel approach in oncology," European Journal of Cancer, vol. 43, no. 12, pp. 1862-1868, 2007.
15. A. Chakraborty and W. J. Jusko, "Pharmacodynamic interaction of recombinant human interleukin-10 and prednisolone using in vitro whole blood lymphocyte proliferation," Journal of pharmaceutical sciences, vol. 91, no. 5, pp. 1334-1342, 2002.
16. J. Demsar, "Statistical comparisons of classifiers over multiple data sets," The Journal of Machine Learning Research, vol. 7, pp. 1-30, 2006.
17. J. Kusyk, C. Sahin, M. Uyar, E. Urrea, and S. Gundry, "Self organization of nodes in mobile ad hoc networks using evolutionary games and genetic algorithms," J. of Advanced Research, vol. 2, no. 3, pp. 253-264, 2011.
18. C. S. Sahin, S. Gundry, and M. U. Uyar, "Markov chain analysis of selforganizing mobile nodes," Journal of Intelligent and Robotic Systems, vol. 67, pp. 133-153, 2012.