Imaging Mass Spectrometry Scholarly Peer-review Journal

Imaging mass spectrometry has been used for the analysis of proteins in cancer tissue including breast, prostate, kidney, skin, colon, lung, ovarian, and gastric as well as other diseases such as inflammatory bowel diseases, S. aureus infection, and sarcoidosis. The aim of most of these investigations is the identification of proteins and protein signatures for improved diagnosis, prognosis, prediction of response to treatment, as well as determination of potential drug targets.IMS has been used in the classification of papillary bladder tumors into high grade (HG) and low grade (LG). These types of tumors had previously been classified into three groups—G1, G2, and G3—according to histology, but in 2004 the World Health Organization eliminated the middle grade group. Although high-grade and low-grade tumors could be easily differentiated based on histological characteristics, the formerly classified grade 2 tumors proved more challenging. To better differentiate this group, a support vector machine algorithm was generated from IMS data from 27 LG tumors and 21 HG tumors that was then applied to a set of  G2 tumors. In the initial training set, cross-validation accuracies of 97.82% and 96.54% were obtained for the LG and HG groups, respectively. Classification of the G2 samples designated 23 samples as LG and 8 as HG.     

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