Differentiating Proteomic Biomarkers in Breast Cancer by Laser Capture Microdissection and MALDI MS

Melinda E. Sanders; Eduardo C. Dias; Baogang J. Xu; James A. Mobley; Dean Billheimer; Heinrich Roder; Julia Grigorieva; Mitchell Dowsett; Carlos L. Arteaga; Richard M. Caprioli

doi:10.1021/pr7008109

Differentiating Proteomic Biomarkers in Breast Cancer by Laser Capture Microdissection and MALDI MS

Melinda E. Sanders, Eduardo C. Dias, Baogang J. Xu, James A. Mobley, Dean Billheimer, Heinrich Roder, Julia Grigorieva, Mitchell Dowsett, Carlos L. Arteaga, Richard M. Caprioli

Research output: Contribution to journal › Article › peer-review

26 Scopus citations

Abstract

We assessed proteomic patterns in breast cancer using MALDI MS and laser capture microdissected cells. Protein and peptide expression in invasive mammary carcinoma versus normal mammary epithelium and estrogen-receptor positive versus estrogen-receptor negative tumors were compared. Biomarker candidates were identified by statistical analysis and classifiers were developed and validated in blinded test sets. Several of the mlz features used in the classifiers were identified by LC-MS/MS and two were confirmed by immunohistochemistry.

Original language	English (US)
Pages (from-to)	1500-1507
Number of pages	8
Journal	Journal of Proteome Research
Volume	7
Issue number	4
DOIs	https://doi.org/10.1021/pr7008109
State	Published - Apr 2008

Keywords

Breast cancer
Laser capture microdissection
MALDI MS

ASJC Scopus subject areas

Biochemistry
Chemistry(all)

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10.1021/pr7008109

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@article{ea8937562663449ea8d6178a975be80b,

title = "Differentiating Proteomic Biomarkers in Breast Cancer by Laser Capture Microdissection and MALDI MS",

abstract = "We assessed proteomic patterns in breast cancer using MALDI MS and laser capture microdissected cells. Protein and peptide expression in invasive mammary carcinoma versus normal mammary epithelium and estrogen-receptor positive versus estrogen-receptor negative tumors were compared. Biomarker candidates were identified by statistical analysis and classifiers were developed and validated in blinded test sets. Several of the mlz features used in the classifiers were identified by LC-MS/MS and two were confirmed by immunohistochemistry.",

keywords = "Breast cancer, Laser capture microdissection, MALDI MS",

author = "Sanders, {Melinda E.} and Dias, {Eduardo C.} and Xu, {Baogang J.} and Mobley, {James A.} and Dean Billheimer and Heinrich Roder and Julia Grigorieva and Mitchell Dowsett and Arteaga, {Carlos L.} and Caprioli, {Richard M.}",

year = "2008",

month = apr,

doi = "10.1021/pr7008109",

language = "English (US)",

volume = "7",

pages = "1500--1507",

journal = "Journal of Proteome Research",

issn = "1535-3893",

publisher = "American Chemical Society",

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T1 - Differentiating Proteomic Biomarkers in Breast Cancer by Laser Capture Microdissection and MALDI MS

AU - Sanders, Melinda E.

AU - Dias, Eduardo C.

AU - Xu, Baogang J.

AU - Mobley, James A.

AU - Billheimer, Dean

AU - Roder, Heinrich

AU - Grigorieva, Julia

AU - Dowsett, Mitchell

AU - Arteaga, Carlos L.

AU - Caprioli, Richard M.

PY - 2008/4

Y1 - 2008/4

N2 - We assessed proteomic patterns in breast cancer using MALDI MS and laser capture microdissected cells. Protein and peptide expression in invasive mammary carcinoma versus normal mammary epithelium and estrogen-receptor positive versus estrogen-receptor negative tumors were compared. Biomarker candidates were identified by statistical analysis and classifiers were developed and validated in blinded test sets. Several of the mlz features used in the classifiers were identified by LC-MS/MS and two were confirmed by immunohistochemistry.

AB - We assessed proteomic patterns in breast cancer using MALDI MS and laser capture microdissected cells. Protein and peptide expression in invasive mammary carcinoma versus normal mammary epithelium and estrogen-receptor positive versus estrogen-receptor negative tumors were compared. Biomarker candidates were identified by statistical analysis and classifiers were developed and validated in blinded test sets. Several of the mlz features used in the classifiers were identified by LC-MS/MS and two were confirmed by immunohistochemistry.

KW - Breast cancer

KW - Laser capture microdissection

KW - MALDI MS

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AN - SCOPUS:45549093377

SN - 1535-3893

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SP - 1500

EP - 1507

JO - Journal of Proteome Research

JF - Journal of Proteome Research

IS - 4

ER -

Differentiating Proteomic Biomarkers in Breast Cancer by Laser Capture Microdissection and MALDI MS

Abstract

Keywords

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