Analytical and preanalytical biases in serum proteomic pattern analysis for breast cancer diagnosis.

Author(s): Karsan A, Eigl BJ, Flibotte S, Gelmon K, Switzer P, Hassell P, Harrison D, Law J, Hayes M, Stillwell M, Xiao Z, Conrads TP, Veenstra T

Publication: Clin Chem, 2005, Vol. 51, Page 1525-8

PubMed ID: 15951319 PubMed Review Paper? No

Purpose of Paper

Conclusion of Paper

Studies

1. Study Purpose

   The purpose of this study was to assess the influence of preanalytical (specimen collection source) and analytical processing (day of analysis) variables on the spectral profile of serum by comparing specimens obtained from three clinics and processed and analyzed by SELDI-TOF MS on different days. Blood specimens were collected from patients diagnosed with breast cancer or a benign growth.

   Summary of Findings:

   Two SELDI-TOF analytical machine learning algorithms were unsuccessful in differentiating serum specimens based on cancer status (carcinoma versus benign), but successfully segregated specimens based on the clinic that collected the specimen, the day the chip was prepared, and the day the chip was read.

   Biospecimens

   • Bodily Fluid - Serum
   • Bodily Fluid - Blood

   Preservative Types

   • Frozen

   Diagnoses:

   • Neoplastic - Carcinoma
   • Neoplastic - Benign

   Platform:

   Analyte	Technology Platform
   Protein	SELDI-TOF MS

   Pre-analytical Factors:

   Classification	Pre-analytical Factor	Value(s)
   Preaquisition	Diagnosis/ patient condition	Breast cancer Benign
   Biospecimen Acquisition	Method of fluid acquisition	Clinic dependent phlebotomy methodology (unspecified)
   Biospecimen Acquisition	Locale of biospecimen collection	3 separate medical clinics

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