Extraordinary Potential of High Technologies Applications: A Literature Review and a Model of Assessment of Head and Neck Squamous Cell Carcinoma (HNSCC) Prognosis
Read full paper at:
http://www.scirp.org/journal/PaperInformation.aspx?PaperID=51154#.VFbluGfHRK0
http://www.scirp.org/journal/PaperInformation.aspx?PaperID=51154#.VFbluGfHRK0
Author(s)
Head and neck squamous cell carcinoma (HNSCC) is the
sixth most common cause of cancer mortality in the world and the 5th
most commonly occurring cancer (Siegel, R. 2014). In the last few
decades a growing interest for the emerging data from both tumor biology
and multimodality treatment in HNSCC has been developed. A huge number
of new markers need to be managed with bio-informatics systems to
elaborate and correlate clinical and molecular data. Data mining
algorithms are a promising medical application. We used this technology
to correlate blood samples with clinical outcome in 120 patients treated
with chemoradiation for locally advanced HNSCC. Our results did not
find a significant correlation because of the sample exiguity but they
show the potential of this tool.
KEYWORDS
Cite this paper
Camuto, C. and Denaro, N. (2014) Extraordinary
Potential of High Technologies Applications: A Literature Review and a
Model of Assessment of Head and Neck Squamous Cell Carcinoma (HNSCC)
Prognosis. International Journal of Medical Physics, Clinical Engineering and Radiation Oncology, 3, 235-240. doi: 10.4236/ijmpcero.2014.34030.
[1] | Banville, D.L. (2009) Mining Chemical and Biological Information from the Drug Literature. Current Opinion in Drug Discovery & Development, 12, 376-387. |
[2] |
Zhu, F., Patumcharoenpol, P.,
Zhang, C., Yang, Y., Chan, J., Meechai, A., Vongsangnak, W. and Shen, B.
(2013) Biomedical Text Mining and Its Applications in Cancer Research.
Journal of Biomedical Informatics, 46, 200-211. http://dx.doi.org/10.1016/j.jbi.2012.10.007 |
[3] |
Siegel, R., Naishadham, D. and
Jemal, A. (2013) Cancer statistics, 2013. CA: A Cancer Journal for
Clinicians, 63, 11-30. http://dx.doi.org/10.3322/caac.21166 |
[4] | Denaro, N., Russi, E.G., Adamo, V. and Merlano, M.C. (2014) State-of-the-Art and Emerging Treatment Options in the Management of Head and Neck Cancer: News from 2013. Oncology, 86, 212-229. |
[5] |
Ang, K.K., Harris, J., Wheeler,
R., Weber, R., Rosenthal, D.I., Nguyen-Tan, P.F., Westra, W.H., Chung,
C.H., Jordan, R.C., Lu, C., Kim, H., Axelrod, R., Silverman, C.C.,
Redmond, K.P. and Gillison, M.L. (2010) Human Papillomavirus and
Survival of Patients with Oropharyngeal Cancer. New England Journal of
Medicine, 363, 24-35. http://dx.doi.org/10.1056/NEJMoa0912217 |
[6] | Wu, J., Ho, C., Laskin, J., Gavin, D., Mak, P., Duncan, K., French, J., McGahan, C., Reid, S., Chia, S. and Cheung, H. (2013) The Development of a Standardized Software Platform to Support Provincial Population-Based Cancer Outcomes Units for Multiple Tumour Sites: OaSIS—Outcomes and Surveillance Integration System. Studies in Health Technology and Informatics, 183, 98-103. |
[7] |
Naqa, I.E, Deasy, J.O., Mu, Y.,
Huang, E., Hope, A.J., Lindsay, P.E., Apte, A., Alaly, J. and Bradley,
J.D. (2010) Datamining Approaches for Modeling Tumor Control
Probability. Acta Oncologica, 49, 1363-73. http://dx.doi.org/10.3109/02841861003649224 |
[8] |
Spencer, S.J., Bonnin, D.A.,
Deasy, J.O., Bradley, J.D. and El Naqa, I. (2009) Bioinformatics Methods
for Learning Radiation-Induced Lung Inflammation from Heterogeneous
Retrospective and Prospective Data. Journal of Biomedicine and
Biotechnology, 2009, 1-14. http://dx.doi.org/10.1155/2009/892863 eww141103lx |
评论
发表评论