Serum metabolomics as a novel diagnostic approach for gastrointestinal cancer

Ikeda, Atsuki; Nishiumi, Shin; Shinohara, Masakazu; Yoshie, Tomoo; Hatano, Naoya; Okuno, Tatsuya; Bamba, Takeshi; Fukusaki, Eiichiro; Takenawa, Tadaomi; Azuma, Takeshi; Yoshida, Masaru

doi:10.1002/bmc.1671

Cited by 147 publications

(111 citation statements)

References 30 publications

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“…22). However, other studies by Zhang and colleagues (23) and Ikeda and colleagues (24) showed no significant difference in serum tyrosine levels in patients with esophageal and gastric cancer compared with controls.…”

Section: Tyrosinementioning

confidence: 88%

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Tyrosine, Phenylalanine, and Tryptophan in Gastroesophageal Malignancy: A Systematic Review

Wiggins

Kumar

Markar

et al. 2015

Cancer Epidemiology, Biomarkers &Amp; Prevention

103

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Gastroesophageal cancer has a rapidly increasing incidence worldwide and reliable biomarkers are urgently required to facilitate earlier diagnosis and improve survival. The aromatic amino acids tyrosine, phenylalanine, and tryptophan represent potential biomarkers and their relation to gastroesophageal cancer will be evaluated in this review. An electronic literature search was performed to identify all published research relating to the measurement of tyrosine, phenylalanine, or tryptophan in the biofluids or tissues of patients with gastroesophageal cancer. Sixteen studies were included in this systematic review. Six studies investigated serum concentrations, which all found decreased concentrations of these aromatic amino acids, except one study that found increased phenylalanine. Five studies reported increased concentrations within gastric content of these patients and two reported increased urinary concentrations. Tissue concentrations of these aromatic amino acids were increased in three studies. Tyrosine, phenylalanine, and tryptophan represent potential biomarkers of gastroesophageal cancer, and further research is necessary to definitively establish the mechanism responsible for altered concentrations of these compounds in patients with gastroesophageal cancer. Cancer Epidemiol Biomarkers Prev; 24(1); 32-38. Ó2014 AACR.

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Section: Tyrosinementioning

confidence: 88%

“…Miyagi and colleagues (20) also showed significantly decreased plasma tryptophan concentrations in gastric cancer cases compared with controls (P < 0.01). However, Ikeda and colleagues (24) found no significant difference in tryptophan between patients with esophageal or gastric cancer when compared with healthy controls.…”

Section: Tryptophanmentioning

confidence: 93%

Tyrosine, Phenylalanine, and Tryptophan in Gastroesophageal Malignancy: A Systematic Review

Wiggins

Kumar

Markar

et al. 2015

Cancer Epidemiology, Biomarkers &Amp; Prevention

103

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“…We have showed the use of metabolomics for diagnosing and evaluating the pathologic conditions of various diseases (19)(20)(21)(22)(23)(24). Metabolomics is the comprehensive study of low molecular weight metabolites, which are the endpoint of the omics cascade and hence are the closest point in the cascade to the phenotype.…”

Section: Introductionmentioning

confidence: 99%

A Novel Serum Metabolomics-Based Diagnostic Approach to Pancreatic Cancer

Kobayashi

Nishiumi

Ikeda

et al. 2013

Cancer Epidemiology, Biomarkers &Amp; Prevention

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158

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Background: To improve the prognosis of patients with pancreatic cancer, more accurate serum diagnostic methods are required. We used serum metabolomics as a diagnostic method for pancreatic cancer.Methods: Sera from patients with pancreatic cancer, healthy volunteers, and chronic pancreatitis were collected at multiple institutions. The pancreatic cancer and healthy volunteers were randomly allocated to the training or the validation set. All of the chronic pancreatitis cases were included in the validation set. In each study, the subjects' serum metabolites were analyzed by gas chromatography mass spectrometry (GC/MS) and a data processing system using an in-house library. The diagnostic model constructed via multiple logistic regression analysis in the training set study was evaluated on the basis of its sensitivity and specificity, and the results were confirmed by the validation set study.Results: In the training set study, which included 43 patients with pancreatic cancer and 42 healthy volunteers, the model possessed high sensitivity (86.0%) and specificity (88.1%) for pancreatic cancer. The use of the model was confirmed in the validation set study, which included 42 pancreatic cancer, 41 healthy volunteers, and 23 chronic pancreatitis; that is, it displayed high sensitivity (71.4%) and specificity (78.1%); and furthermore, it displayed higher sensitivity (77.8%) in resectable pancreatic cancer and lower false-positive rate (17.4%) in chronic pancreatitis than conventional markers.Conclusions: Our model possessed higher accuracy than conventional tumor markers at detecting the resectable patients with pancreatic cancer in cohort including patients with chronic pancreatitis.Impact: It is a promising method for improving the prognosis of pancreatic cancer via its early detection and accurate discrimination from chronic pancreatitis. Cancer Epidemiol Biomarkers Prev; 22(4); 571-9. Ó2013 AACR.

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“…Importantly, these amino acids may be of interest as candidate markers, since the results obtained following the 5-FU and CDDP-treatments support the findings of previous studies. [31][32][33] However, further research is warranted to confirm the selection of amino acids and to evaluate their relationships with different anticancer mechanisms of action.…”

Section: Use Of Loading Plots Of Pca and Pls Analyses To Identify Marmentioning

confidence: 99%

Assessment of the Efficacy of Anticancer Drugs by Amino Acid Metabolomics Using Fluorescence Derivatization-HPLC

et al. 2014

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Metabolomic studies conducted for evaluating cancer pathogenesis and progression by monitoring the amino acids metabolic balance hold great promise for assessing current and future anticancer treatments. We performed a comprehensive quantification of 21 amino acids concentrations in cultured human colorectal adenocarcinoma cells treated with the anticancer drugs 5-fluorouracil, irinotecan, and cisplatin. A precolumn fluorescence derivatization-HPLC method involving 6-aminoquinolyl-N-hydroxysuccinimidyl carbamate was used. Amino acid concentration data were analyzed by principal-component analysis and partial least-squares multivariate statistical methods to represent samples on two-dimensional graphs. The hierarchical cluster analysis and linear discriminant analysis were used to classify the samples on the score plots. Unlike the cluster analysis approach, the linear discrimination analysis classification successfully distinguished anticancer drug-treated samples from the untreated controls. Moreover, three candidate amino acids (serine, aspartic acid, and methionine) were identified from the loading plots as potential biomarkers. Our proposed method might be able to evaluate the effectiveness of anticancer therapy even in small laboratories or medical institutions.

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Serum metabolomics as a novel diagnostic approach for gastrointestinal cancer

Cited by 147 publications

References 30 publications

Tyrosine, Phenylalanine, and Tryptophan in Gastroesophageal Malignancy: A Systematic Review

Tyrosine, Phenylalanine, and Tryptophan in Gastroesophageal Malignancy: A Systematic Review

A Novel Serum Metabolomics-Based Diagnostic Approach to Pancreatic Cancer

Assessment of the Efficacy of Anticancer Drugs by Amino Acid Metabolomics Using Fluorescence Derivatization-HPLC

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