Year: 2004
Type: conference-abstract
Abstract: used for decision tree building.A blinded test set consisting of 20 controls and 320 CaP patients was used to challenge the algorithms.Additional control specimens are being collected for further analysis.RESULTS: A decision tree algorithm consisting of 4 discriminatory peaks with mass designations of 4067Da and 12617Da on the WCX2 array and 7782Da and 9306Da on the IMAC3-Cu array was generated by Biomarker Patterns Software.The algorithm correctly identified 255 of the 320 CaP patients and 17 of the 20 controls in the test set giving a sensitivity of 80% and specificity of 85% on validation.CONCLUSIONS: Using a larger cohort of CaP patients and streamlined robotic processing of specimens, serum proteomic profiling using SELDI-TOF in a follow-up study continues to show promising potential for CaP detection with high sensitivity and specificity.Further evaluations/development of this new technology is underway including additional specimens and new algorithms for the analysis of the same data set Source of Funding: U.S.
Source: The Journal of Urology
Language: English
Subfield: Pulmonary and Respiratory Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: bronze
OpenAlex ID: W2791159923