alexa MALDI MS Profiles Distinguish ER-Negative Breast Cancers from Lung Adenocarcinoma | OMICS International | Abstract
ISSN: 0974-276X

Journal of Proteomics & Bioinformatics
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Research Article

MALDI MS Profiles Distinguish ER-Negative Breast Cancers from Lung Adenocarcinoma

Michelle L Reyzer1#, Jun Won Park2#, Jamie L Allen1, Oleg Chertov3, Dae Yong Kim4, Han Sung Kang2, Geon Kook Lee2, Richard Caprioli1 and Hark Kyun Kim2*

1Mass Spectrometry Research Center, Vanderbilt University, Nashville, TN 37232-8575, USA

2National Cancer Center, Goyang, Gyeonggi 410-769, Republic of Korea

3Protein Chemistry Laboratory, SAIC-Frederick, Inc., National Cancer Institute at Frederick, Frederick, MD, 21702, USA

4College of Veterinary Medicine, Seoul National University, Seoul 151-742, Republic of Korea

#These authors equally contributed to this paper

*Corresponding Author:
Hark K Kim
Chief, Biomolecular Function Research Branch
National Cancer Center, 323 Ilsanro, Ilsandong
Goyang, Gyeonggi 410-769, Republic of Korea
E-mail: [email protected]

Received date: April 01, 2013; Accepted date: May 02, 2013; Published date: May 06, 2013

Citation: Reyzer ML, Park JW, Allen JL, Chertov O, Kim DY, et al. (2013) MALDI MS Profiles Distinguish ER-Negative Breast Cancers from Lung Adenocarcinoma. J Proteomics Bioinform S6: 004. doi: 10.4172/jpb.S6-004

Copyright: © 2013 Reyzer ML, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.


Background: There is an unmet need for tissue-specific biomarkers that distinguish estrogen receptor (ER)- negative breast cancers from primary lung adenocarcinomas.

Methods: To identify proteins that differ between primary breast and lung cancers, frozen resected samples collected from 10 ER-negative breast and 18 lung adenocarcinomas patients were analyzed using Matrix-Assisted Laser Desorption/Ionization (MALDI) Mass Spectrometry (MS).

Results: MALDI MS profiles were significantly different between primary breast and lung adenocarcinomas. Importantly, 4 peaks that differentially expressed between breast and lung adenocarcinomas correctly predicted the class label of a lung metastasis of breast cancer. A peak at m/z 10,093, which was significantly overexpressed in primary lung cancer, was identified as S100A6. According to immunohistochemistry study using commercially available tissue microarray slides, S100A6 expression was significantly lower in breast cancer samples than in lung adenocarcinomas samples.

Conclusion: We identified MALDI MS profiles that may distinguish primary lung adenocarcinoma from ERnegative breast adenocarcinoma. S100A6 was identified as one of the informative peaks in the MALDI MS profiles.


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