Cancer diagnosis using proteomic patterns

Thomas P. Conrads; Ming Zhou; Emmanuel F. Petricoin; Lance Liotta; Timothy D. Veenstra

doi:10.1586/14737159.3.4.411

Cancer diagnosis using proteomic patterns

Thomas P. Conrads, Ming Zhou, Emmanuel F. Petricoin, Lance Liotta, Timothy D. Veenstra^*

^*Corresponding author for this work

Research output: Contribution to journal › Review article › peer-review

138 Scopus citations

Abstract

The advent of proteomics has brought with it the hope of discovering novel biomarkers that can be used to diagnose diseases, predict susceptibility and monitor progression. Much of this effort has focused upon the mass spectral identification of the thousands of proteins that populate complex biosystems such as serum and tissues. A revolutionary approach in proteomic pattern analysis has emerged as an effective method for the early diagnosis of diseases such as ovarian cancer. Proteomic pattern analysis relies on the pattern of proteins observed and does not rely on the identification of a traceable biomarker. Hundreds of clinical samples per day can be analyzed utilizing this technology, which has the potential to be a novel, highly sensitive diagnostic tool for the early detection of cancer.

Original language	English
Pages (from-to)	411-420
Number of pages	10
Journal	Expert Review of Molecular Diagnostics
Volume	3
Issue number	4
DOIs	https://doi.org/10.1586/14737159.3.4.411
State	Published - Jul 2003
Externally published	Yes

Keywords

Bioinformatics
Biomarkers
Cancer
Early diagnosis
Mass spectromytry
Proteomic patterns

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10.1586/14737159.3.4.411

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title = "Cancer diagnosis using proteomic patterns",

abstract = "The advent of proteomics has brought with it the hope of discovering novel biomarkers that can be used to diagnose diseases, predict susceptibility and monitor progression. Much of this effort has focused upon the mass spectral identification of the thousands of proteins that populate complex biosystems such as serum and tissues. A revolutionary approach in proteomic pattern analysis has emerged as an effective method for the early diagnosis of diseases such as ovarian cancer. Proteomic pattern analysis relies on the pattern of proteins observed and does not rely on the identification of a traceable biomarker. Hundreds of clinical samples per day can be analyzed utilizing this technology, which has the potential to be a novel, highly sensitive diagnostic tool for the early detection of cancer.",

keywords = "Bioinformatics, Biomarkers, Cancer, Early diagnosis, Mass spectromytry, Proteomic patterns",

author = "Conrads, {Thomas P.} and Ming Zhou and Petricoin, {Emmanuel F.} and Lance Liotta and Veenstra, {Timothy D.}",

note = "Funding Information: The authors would like to acknowledge Correlogics Systems for their collaboration on using high resolution mass spectrometry to diagnose ovarian cancer. This project has been funded in whole or in part with Federal funds from the National Cancer Institute, National Institutes of Health, Contract No. NO1-CO-12400.",

year = "2003",

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doi = "10.1586/14737159.3.4.411",

language = "English",

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journal = "Expert Review of Molecular Diagnostics",

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AU - Conrads, Thomas P.

AU - Zhou, Ming

AU - Petricoin, Emmanuel F.

AU - Liotta, Lance

AU - Veenstra, Timothy D.

N1 - Funding Information: The authors would like to acknowledge Correlogics Systems for their collaboration on using high resolution mass spectrometry to diagnose ovarian cancer. This project has been funded in whole or in part with Federal funds from the National Cancer Institute, National Institutes of Health, Contract No. NO1-CO-12400.

PY - 2003/7

Y1 - 2003/7

N2 - The advent of proteomics has brought with it the hope of discovering novel biomarkers that can be used to diagnose diseases, predict susceptibility and monitor progression. Much of this effort has focused upon the mass spectral identification of the thousands of proteins that populate complex biosystems such as serum and tissues. A revolutionary approach in proteomic pattern analysis has emerged as an effective method for the early diagnosis of diseases such as ovarian cancer. Proteomic pattern analysis relies on the pattern of proteins observed and does not rely on the identification of a traceable biomarker. Hundreds of clinical samples per day can be analyzed utilizing this technology, which has the potential to be a novel, highly sensitive diagnostic tool for the early detection of cancer.

AB - The advent of proteomics has brought with it the hope of discovering novel biomarkers that can be used to diagnose diseases, predict susceptibility and monitor progression. Much of this effort has focused upon the mass spectral identification of the thousands of proteins that populate complex biosystems such as serum and tissues. A revolutionary approach in proteomic pattern analysis has emerged as an effective method for the early diagnosis of diseases such as ovarian cancer. Proteomic pattern analysis relies on the pattern of proteins observed and does not rely on the identification of a traceable biomarker. Hundreds of clinical samples per day can be analyzed utilizing this technology, which has the potential to be a novel, highly sensitive diagnostic tool for the early detection of cancer.

KW - Bioinformatics

KW - Biomarkers

KW - Cancer

KW - Early diagnosis

KW - Mass spectromytry

KW - Proteomic patterns

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Cancer diagnosis using proteomic patterns

Abstract

Keywords

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