Protein BioChip Mass Spectrometry: A Novel Protein Profiling Approach for Diagnosis and Prognosis of Prostate Cancer

Abstract

The present study was designed for the early detection of prostate cancer and monitoring the outcome of prostatectomy treatment. All the prostate cancer patients had undergone radical prostatectomy with no positive nodes, no extra capsular extension, no positive seminal vesicle involvement at time of surgery, and no positive CT scans post surgery. This allowed us to build a pattern matching algorithm to detect early stage cancer. Currently, we are developing an in-house algorithm to preprocess the raw spectra data which includes three steps: (1). Background subtraction and noise reduction (2) Local alignment of spectra, (3) Peak detection. Developing a classification algorithm is in progress. This will be completed in Fall 2005. The completion of the data analysis will be expected in the end of 2005.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2005
Accession Number
ADA439852

Entities

People

  • Bao-ling Adam

Organizations

  • Medical College of Georgia

Tags

DTIC Thesaurus Topics

  • Data Analysis
  • Data Processing
  • Detection
  • Experimental Design
  • Genitalia
  • Identification
  • Information Processing
  • Information Science
  • Mass Spectrometry
  • Neoplasms
  • Noise
  • Noise Reduction
  • Prostate Cancer
  • Protein Microarrays
  • Spectra
  • Spectrometry
  • X-Ray Computed Tomography

Readers

  • Approximation Theory.
  • Oncology and Biomarker-Based Cancer Detection.