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Volume 68, Issue 1, Pages 44-50 (April 2010)


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Comparison of squamous cell carcinoma and adenocarcinoma of the lung by metabolomic analysis of tissue–serum pairs

We wish to dedicate this work to Lance W. Crocker (1944–2004), beloved father of KWJ, and Wei Zheng (1962–1991), courageous sister of LLC. Their losses to lung cancer and loving memories have made this work possible.

K.W. Jordana, C.B. Adkinsa, L. Sud, E.F. Halpernb, E.J. Marka, D.C. Christianicd, L.L. ChengabCorresponding Author Informationemail address

Received 3 December 2008; received in revised form 14 May 2009; accepted 17 May 2009. published online 26 June 2009.

Abstract 

The prospect of establishing serum metabolomic profiles offers great clinical significance for its potential to detect human lung cancers at clinically asymptomatic stages. Patients with suspicious serum metabolomic profiles may undergo advanced radiological tests that are too expensive to be employed as screening tools for the mass population. As the first step to establishing such profiles, this study investigates correlations between tissue and serum metabolomic profiles for squamous cell carcinoma (SCC) and adenocarcinoma (AC) in the lungs of humans. Tissue and serum paired samples from 14 patients (five SCCs and nine ACs), and seven serum samples from healthy controls were analyzed with high-resolution magic angle spinning proton magnetic resonance spectroscopy (HRMAS 1HMRS). Tissue samples were subjected to quantitative histological pathology analyses after MRS. Based on pathology results, tissue metabolomic profiles for the evaluated cancer types were established using principal component and canonical analyses on measurable metabolites. The parameters used to construct tissue cancer profiles were then tested with serum spectroscopic results for their ability to differentiate between cancer types and identify cancer from controls. In addition, serum spectroscopic results were also analyzed independent of tissue data. Our results strongly indicate the potential of serum MR spectroscopy to achieve the task of differentiating between the tested human lung cancer types and from controls.

a Department of Pathology, Massachusetts General Hospital, Harvard Medical School, United States

b Department of Radiology, Massachusetts General Hospital, Harvard Medical School, United States

c Department of Medicine, Massachusetts General Hospital, Harvard Medical School, United States

d Department of Environmental Health, Harvard School of Public Health, Boston, MA, United States

Corresponding Author InformationCorresponding author at: Pathology Research, CNY-7, 149 13th Street, Charlestown, MA 02129, United States. Tel.: +1 617 724 6593; fax: +1 617 726 5684.

PII: S0169-5002(09)00305-5

doi:10.1016/j.lungcan.2009.05.012


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