Identification of Adipophilin as a Potential Plasma Biomarker for Colorectal Cancer Using Label-Free Quantitative Mass Spectrometry and Protein Microarray

The aim of this study was to identify a new plasma biomarker for use in early detection of colorectal cancer. Using the combination of hollow fiber membrane (HFM)-based low-molecular weight protein enrichment and two-dimensional image converted analysis of liquid chromatography and mass spectrometry...

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Veröffentlicht in:Cancer epidemiology, biomarkers & prevention biomarkers & prevention, 2011-10, Vol.20 (10), p.2195-2203
Hauptverfasser: MATSUBARA, Junichi, HONDA, Kazufumi, NAGAI, Hideo, LOKA, Tatsuya, OKUSAKA, Takuji, KOSUGE, Tomoo, TSUCHIDA, Akihiko, SHIMAHARA, Masashi, YASUNAMI, Yohichi, CHIBA, Tsutomu, YAMADA, Tesshi, ONO, Masaya, SEKINE, Shigeki, TANAKA, Yoshinori, KOBAYASHI, Michimoto, GIMAN JUNG, SAKUMA, Tomohiro, NAKAMORI, Shoji, SATA, Naohiro
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container_end_page 2203
container_issue 10
container_start_page 2195
container_title Cancer epidemiology, biomarkers & prevention
container_volume 20
creator MATSUBARA, Junichi
HONDA, Kazufumi
NAGAI, Hideo
LOKA, Tatsuya
OKUSAKA, Takuji
KOSUGE, Tomoo
TSUCHIDA, Akihiko
SHIMAHARA, Masashi
YASUNAMI, Yohichi
CHIBA, Tsutomu
YAMADA, Tesshi
ONO, Masaya
SEKINE, Shigeki
TANAKA, Yoshinori
KOBAYASHI, Michimoto
GIMAN JUNG
SAKUMA, Tomohiro
NAKAMORI, Shoji
SATA, Naohiro
description The aim of this study was to identify a new plasma biomarker for use in early detection of colorectal cancer. Using the combination of hollow fiber membrane (HFM)-based low-molecular weight protein enrichment and two-dimensional image converted analysis of liquid chromatography and mass spectrometry (2DICAL), we compared the plasma proteome of 22 colorectal cancer patients with those of 21 healthy controls. An identified biomarker candidate was then validated in two larger cohorts [validation-1 (n = 210) and validation-2 (n = 113)] using a high-density reverse-phase protein microarray. From a total of 53,009 mass peaks, we identified 103 with an area under curve (AUC) value of 0.80 or higher that could distinguish cancer patients from healthy controls. A peak that increased in colorectal cancer patients, with an AUC of 0.81 and P value of 0.0004 (Mann-Whitney U test), was identified as a product of the PLIN2 gene [also known as perilipin-2, adipose differentiation-related protein (ADRP), or adipophilin]. An increase in plasma adipophilin was consistently observed in colorectal cancer patients, including those with stage I or stage II disease (P < 0.0001, Welch's t test). Immunohistochemical analysis revealed that adipophilin is expressed primarily in the basal sides of colorectal cancer cells forming polarized tubular structures, and that it is absent from adjacent normal intestinal mucosae. Adipophilin is a plasma biomarker potentially useful for the detection of early-stage colorectal cancer. The combination of HFM and 2DICAL enables the comprehensive analysis of plasma proteins and is ideal for use in all biomarker discovery studies.
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ispartof Cancer epidemiology, biomarkers & prevention, 2011-10, Vol.20 (10), p.2195-2203
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source MEDLINE; American Association for Cancer Research; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals
subjects Adult
Area Under Curve
Biological and medical sciences
biomarkers
Biomarkers, Tumor - blood
Blood Proteins - metabolism
Blotting, Western
Case-Control Studies
Chromatography, Liquid
Colorectal cancer
Colorectal Neoplasms - metabolism
Electrophoresis, Gel, Two-Dimensional
Female
Fibers
Follow-Up Studies
Gastroenterology. Liver. Pancreas. Abdomen
Humans
Image processing
Immunoenzyme Techniques
Intestine
Liquid chromatography
Male
Mass spectroscopy
Medical sciences
Membrane Proteins - metabolism
Middle Aged
Neoplasm Staging
Perilipin-2
Plasma proteins
Prognosis
Prospective Studies
Protein Array Analysis
Protein arrays
Proteome - analysis
Stomach. Duodenum. Small intestine. Colon. Rectum. Anus
Tandem Mass Spectrometry
Tumors
title Identification of Adipophilin as a Potential Plasma Biomarker for Colorectal Cancer Using Label-Free Quantitative Mass Spectrometry and Protein Microarray
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