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Novel Use of Proteomic Profiles in a Convex-Hull Ensemble Classifier to Predict Gynecological Cancer Patients? Susceptibility to Gastrointestinal Mucositis as Side Effect of Radiation Therapy
Author(s) -
Ralph L. Kodell,
Randy S. Haun,
Eric R. Siegel,
Chuanlei Zhang,
Angela B Trammel,
Martin HauerJensen,
Alexander Burnett
Publication year - 2015
Publication title -
journal of proteomics and bioinformatics
Language(s) - English
Resource type - Journals
ISSN - 0974-276X
DOI - 10.4172/jpb.1000363
Subject(s) - mucositis , radiation therapy , medicine , cervical cancer , oncology , cancer , gastrointestinal cancer , gastroenterology , bioinformatics , colorectal cancer , biology
Whole-pelvis radiation therapy is common practice in the post-surgical treatment of cervical and endometrial cancer. Gastrointestinal mucositis is an adverse side effect of radiation therapy, and is a primary concern in patient management. We investigate whether proteomic information obtained from blood samples drawn from patients scheduled to receive radiation therapy for gynecological cancers could be used to predict which patients are most susceptible to radiation-induced gastrointestinal mucositis, in order to improve the individualization of radiation therapy.

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