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PMID: 15258333 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, P.H.S.

Serum protein expression profiling for cancer detection: validation of a SELDI-based approach for prostate cancer.

Disease markers ·Vol. 19 ·No. 4-5 ·2003-00-00 ·Pages 185-95

Grizzle WE, Adam BL, Bigbee WL, Conrads TP, Carroll C, Feng Z, Izbicka E, Jendoubi M, Johnsey D, Kagan J, Leach RJ, McCarthy DB, Semmes OJ, Srivastava S, Srivastava S, Thompson IM, Thornquist MD, Verma M, Zhang Z, Zou Z

Abstract

Multiple studies have reported that analysis of serum and other bodily fluids using surface enhanced laser desorption/ionization time of flight mass spectroscopy (SELDI-TOF-MS) can identify a "fingerprint" or "signature" of spectral peaks that can separate patients with a specific disease from normal control patients. Ultimately, classification by SELDI-TOF-MS relies on spectral differences in position and amplitude of resolved peaks. Since the reproducibility of quantitation, resolution and mass accuracy of the SELDI-TOF-MS, or any high throughput mass spectrometric technique, has never been determined this method has come under some skepticism as to its clinical usefulness. This manuscript describes a detailed design of a three-phase study to validate the clinical usefulness of SELDI-TOF-MS in the identification of patients with prostatic adenocarcinoma (PCA). At the end of this validation study, the usefulness of the general SELDI-TOF-MS approach to identifying patients with PCA will be demonstrated and how it compares with PCA diagnosis by measuring prostate specific antigen.

MeSH Terms
Adenocarcinoma/blood,diagnosis Algorithms Blood Proteins/analysis Clinical Trials as Topic Humans Male Prostatic Neoplasms/blood,diagnosis Research Design Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization
Chemicals
Blood Proteins
Authors & Affiliations
20 authors, click to expand affiliations / ORCID
Grizzle William E
University of Alabama at Birmingham, Birmingham, AL 35233-0007, USA. [email protected]
Adam Bao-Ling L
Bigbee William L
Conrads Thomas P
Carroll Christopher
Feng Ziding
Izbicka Elzbieta
Jendoubi Moncef
Johnsey Donald
Kagan Jacob
Leach Robin J
McCarthy Diane B
Semmes O John
Srivastava Shiv
Srivastava Sudhir
Thompson Ian M
Thornquist Mark D
Verma Mukesh
Zhang Zhen
Zou Zhiqiang
Article Info
Journal
Disease markers
Abbr.
Dis Markers
ISSN
0278-0240
Published
2003-00-00
Pages
185-95
Language
English
Region
United States
NLM ID
8604127
PMCID
PMC3850865
Subset
IM
Grants
NCI NIH HHS · U01 CA085067 · United States
NCI NIH HHS · P30 CA54174 · United States
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