A metabonomic approach to the diagnosis of oral squamous cell carcinoma, oral lichen planus and oral leukoplakia

Yan, Shaomin; Wei, Ben-Juan; Lin, Zhongying; Yang, Yi; Zhou, Zengtong; Zhang, Wei‐Dong

doi:10.1016/j.oraloncology.2007.06.007

Cited by 82 publications

(69 citation statements)

References 31 publications

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“…Although these profiling approaches focus on upstream genetic and protein variations, metabolomics captures the global metabolic changes that occur in response to pathological, environmental or lifestyle factors (12). Consequently, metabolomics complements the information obtained by genomics and proteomics (13) and has already shown promise in identifying metabolite-based biomarkers in prostate (14), breast (15), ovarian (16), brain (17), and oral (18) cancers. Recently metabolomic study of HCC has been performed by high resolution magic-angle spinning 1 H nuclear magnetic resonance spectroscopy (19) and a panel of 13 differential tissue metabolites, including alanine, leucine and glucose were identified.…”

Section: Hepatocelluar Carcinoma (Hcc)mentioning

confidence: 99%

Serum and Urine Metabolite Profiling Reveals Potential Biomarkers of Human Hepatocellular Carcinoma

Chen

Xie

Wang

et al. 2011

Molecular & Cellular Proteomics

261

118

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Hepatocellular carcinoma (HCC) is a common malignancy in the world with high morbidity and mortality rate. Identification of novel biomarkers in HCC remains impeded primarily because of the heterogeneity of the disease in clinical presentations as well as the pathophysiological variations derived from underlying conditions such as cirrhosis and steatohepatitis. The aim of this study is to search for potential metabolite biomarkers of human HCC using serum and urine metabolomics approach. Sera and urine samples were collected from patients with HCC (n ‫؍‬ 82), benign liver tumor patients (n ‫؍‬ 24), and healthy controls (n ‫؍‬ 71). Metabolite profiling was performed by gas chromatography time-of-flight mass spectrometry and ultra performance liquid chromatography-quadrupole time of flight mass spectrometry in conjunction with univariate and multivariate statistical analyses. Forty three serum metabolites and 31 urinary metabolites were identified in HCC patients involving several key metabolic pathways such as bile acids, free fatty acids, glycolysis, urea cycle, and methionine metabolism. Differentially expressed metabolites in HCC subjects, such as bile acids, histidine, and inosine are of great statistical significance and high fold changes, which warrant further validation as potential biomarkers for HCC. However, alterations of several bile acids seem to be affected by the condition of liver cirrhosis and hepatitis. Quantitative measurement and comparison of seven bile acids among benign liver tumor patients with liver cirrhosis and hepatitis, HCC patients with liver cirrhosis and hepatitis, HCC patients without liver cirrhosis and hepatitis, and healthy controls revealed that the abnormal levels of glycochenodeoxycholic acid, glycocholic acid, taurocholic acid, and chenodeoxycholic acid are associated with liver cirrhosis and hepatitis. HCC patients with alpha fetoprotein values lower than 20 ng/ml was successfully differentiated from healthy controls with an accuracy of 100% using a panel of metabolite markers. Our work shows that metabolomic profiling approach is a promising screening tool for the diagnosis and stratification of HCC patients.Molecular & Cellular Proteomics 10: 10.1074/mcp.M110.004945, 1-13, 2011. Hepatocelluar carcinoma (HCC)1 is the fifth most common cancer (1) and the third leading cause of cancer-related death (2) with a five-year survival rate of less than 7% (3). The morbidity of HCC in Southeast Asia and sub-Saharan Africa is greater than 20 cases per 100,000 population, whereas in North America and Western Europe is much lower, less than 5 per 100,000 population (4). However, a dramatically increasing incidence of HCC in the world, especially in the United States has been reported in recent years, primarily because of chronic alcohol use and chronic hepatitis C infection (5). Diabetic and metabolic diseases of the liver have been known to contribute to an increased incidence of HCC in recent years (6, 7). Despite significant progress in cancer diagnosis and treatment, the morbidity...

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Section: Hepatocelluar Carcinoma (Hcc)mentioning

confidence: 99%

Serum and Urine Metabolite Profiling Reveals Potential Biomarkers of Human Hepatocellular Carcinoma

Chen

Xie

Wang

et al. 2011

Molecular & Cellular Proteomics

261

118

View full text Add to dashboard Cite

show abstract

“…Furthermore, an ideal cancer screening method should be accurate, non-invasive, and low-cost. Metabolomics or metabonomics (Sugimoto et al 2010;Tiziani et al 2009;Yan et al 2008;Zhou et al 2009) is a complementary approach for early detection of oral cancer (OSCC) which utilizes a novel and unique strategy that provides a coherent perspective of the complete metabolic response of organisms to pathophysiologic stimuli or genetic modification. Recent urinary metabonomic analysis demonstrates its applicability for the diagnosis and prognosis of disease (Kind et al 2007;Qiu et al 2010;Wu et al 2009a).…”

Section: Introductionmentioning

confidence: 99%

“…A panel of 23 discriminatory serum metabolites including valine, alanine, tyrosine and serine were identified. Salivary (Yan et al 2008) metabonomics analysis of OSCC and OLK was also performed by high performance liquid chromatography-mass spectrometry (HPLC-MS) and a total of 14 OSCC-related and 11 OLK-related metabolites were discovered; although, these differential metabolites were not identified. Recently, an UPLC-QTOFMS based salivary metabolomics approach has been successfully demonstrated as a complementary tool in the early detection and diagnosis of oral cancer by our group (Wei et al 2010).…”

Section: Introductionmentioning

confidence: 99%

Urine metabolite profiling offers potential early diagnosis of oral cancer

et al. 2011

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Abstract:Oral cancer is the sixth most common human cancer, with a high morbidity rate and an overall 5-year survival rate of less than 50%. It is often not diagnosed until it has reached an advanced stage. Therefore, an early diagnostic and stratification strategy is of great importance for oral cancer. In the current study, urine samples of patients with oral squamous cell carcinoma (OSCC, n = 37), oral leukoplakia (OLK, n = 32) and healthy subjects (n = 34) were analyzed by gas chromatography-mass spectrometry (GC-MS). Using multivariate statistical analysis, the urinary metabolite profiles of OSCC, OLK and healthy control samples can be clearly discriminated and a panel of differentially expressed metabolites was obtained. Metabolites, valine and 6-hydroxynicotic acid, in combination yielded an accuracy of 98.9%, sensitivity of 94.4%, specificity of 91.4%, and positive predictive value of 91.9% in distinguishing OSCC from the controls. The combination of three differential metabolites, 6-hydroxynicotic acid, cysteine, and tyrosine, was able to discriminate between OSCC and OLK with an accuracy of 92.7%, sensitivity of 85.0%, specificity of 89.7%, and positive predictive value of 91.9%. This study demonstrated that the metabolite markers derived from this urinary metabolite profiling approach may hold promise as a diagnostic tool for early stage OSCC and its differentiation from other oral conditions.

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“…It has been widely applied to disease research and showed a great potential in discovery of biomarkers, disease diagnosis and pathological mechanism research (Jia et al 2008;Zhang et al 2009;Yan et al 2008). Because endogenous metabolites have diverse physicochemical properties and wide concentration range, it is generally accepted that there is no single analytical technique can provide whole information of metabolites in organism.…”

Section: Introductionmentioning

confidence: 99%

An 1H NMR and UPLC–MS-based plasma metabonomic study to investigate the biochemical changes in chronic unpredictable mild stress model of depression

Zheng

Zhang

et al. 2010

Metabolomics

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Depression is a common and highly debilitating psychiatric illness. However, the pathophysiology of depression is not fully understood. In this study SpragueDawley rats were exposed to chronic unpredictable mild stress (CUMS) to induce depression. A metabonomic study on plasma of CUMS-induced depressive rats was performed to research the pathologic mechanism of depression by using 1 H nuclear magnetic resonance (NMR) spectroscopy and ultra performance liquid chromatography coupled to mass spectrometry (UPLC-MS). Clear separations between depressive rats and control rats were observed by principal component analysis (PCA) based on the data obtained using both analytical techniques and 18 significantly changed metabolites were identified as potential biomarkers of depression. Depressive rats were characterized by altered levels of plasma lysophosphatidylcholines, amino acids, cholic acid, choline, lactate, glycoproteins, glucose, ketone bodies, nucleosides and gut microflora metabolites, which were related to multiple perturbed metabolic pathways and contributed to the elucidation of the complex mechanism of depression. To the best of our knowledge, this is the first plasma metabonomic study on CUMS-induced depressive rats by using two complementary analytical technologies. Our results showed that metabonomic approach offers a useful tool to identify depression-specific biomarkers and provide new insights into the pathophysiology of depression.

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A metabonomic approach to the diagnosis of oral squamous cell carcinoma, oral lichen planus and oral leukoplakia

Cited by 82 publications

References 31 publications

Serum and Urine Metabolite Profiling Reveals Potential Biomarkers of Human Hepatocellular Carcinoma

Serum and Urine Metabolite Profiling Reveals Potential Biomarkers of Human Hepatocellular Carcinoma

Urine metabolite profiling offers potential early diagnosis of oral cancer

An 1H NMR and UPLC–MS-based plasma metabonomic study to investigate the biochemical changes in chronic unpredictable mild stress model of depression

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