Metabonomics studies on serum and urine of patients with breast cancer using 1H-NMR spectroscopy

Jianping Zhou,Xinli Zhang,Yanxia Wang

doi:10.18632/oncotarget.16210

Abstract

// Jianping Zhou 1 , Yanxia Wang 1 , Xinli Zhang 1 1 Radiation Immunity Test Center, Shaanxi Provincial People’s Hospital, Xi'an, China Correspondence to: Xinli Zhang, email: kallyyue@sina.com Keywords: breast cancer, 1 H-NMR, metabonomics, serum, urine Received: February 06, 2017      Accepted: March 03, 2017      Published: March 15, 2017 ABSTRACT The aim of this study was to describe a metabolomic study of breast cancer using 1 H-NMR combined with bioinformatics analysis. 1 H-NMR spectroscopy combined with multi-variate pattern recognition analysis was used to cluster the groups (serum and urine samples from breast cancer patients and healthy controls) and establish a breast-cancer-specific metabolites phenotype. Orthogonalpartial least-squares discriminant analysis (OPLS-DA) was capable of distinguishing serum and urine samples from breast cancer patients and healthy controls and establishing a breast-cancer-specific metabolite profile. A total of 9 metabolites in serum concentration and 3 metabolites in urine concentration differed significantly between breast cancer patients and healthy controls. Serum samples from breast cancer patients were characterized by decreased concentrations of choline, glucose, histidine, valine, lysine, acetate, tyrosine and glutamic, accompanied by increased concentrations of lipid relative to healthy controls. In urine samples, the level of phenylacetylglycine and guanidoacetate was significantly lower, while the level of citrate was significantly higher in breast cancer patients relative to healthy controls. In conclusion, this study reveals the metabolic profile of serum and urine from breast cancer patients. NMR-based metabolomics has the potential to be developed into a novel clinical tool for diagnosis or therapeutic monitoring for breast cancer. However, because of limitations of methods and technique, further research and verification is needed.

Highlights

Breast cancer is one of the most common cancers and the fifth leading cause of cancer-related deaths among women worldwide [1]
The main different peaks between the two groups are concentrated in the area of 0.5–5.5 and 6.5–9.0 ppm for serum samples and 0.5–9.0ppm for urine samples (Figure 1 and Figure 2).To conduct an overview of discrimination between group A and B, further analysis was applied
Due to various factors inside and outside the body, the synthesis activity of DNA and RNase increased, while protein anabolism and catabolism are enhanced, and anabolism is more powerful than catabolism [15]

Summary

Introduction

Breast cancer is one of the most common cancers and the fifth leading cause of cancer-related deaths among women worldwide [1]. The clinical diagnostic methods for breast cancer include physical examinations, mammography and histopathology. In order to avoid poor prognosis and increase long-term survival, it is important to make an accurate diagnose as early as possible. A major factor that contributes to poor prognosis is the fact that diagnosis is often delayed due to limitation in the conventional diagnostic screening methods [2]. Several tissue biomarkers have been identified, biopsy cannot be frequently repeated. New sensitive and noninvasive biomarkers are still urgently needed to improve early detection rates of breast cancer

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Results

Conclusion