Amino acid profile index for early detection of endometrial cancer: verification as a novel diagnostic marker

Ihata, Yutaka; Miyagi, Etsuko; Numazaki, Reiko; Muramatsu, Toshiya; Imaizumi, Akira; Yamamoto, Hiroshi; Yamakado, Minoru; Okamoto, Naoyuki; Hirahara, Fumiki

doi:10.1007/s10147-013-0565-2

Cited by 57 publications

(64 citation statements)

References 21 publications

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“…59 As summarized in Table 1, Gly consumption was pronounced in pancreatic cancer, 27 breast cancer, 28, 29 colorectal cancer 41 and cervical cancer. 42 While Ser levels were high in some patients with pancreatic cancer, 20 breast cancer, 31, 32 lung cancer, and colorectal cancer, 29 probably due to the overexpression of phosphoglycerate dehydrogenase, other cancers, such as colorectal cancer, 21, 27, 42 pancreatic cancer, 27 gastric cancer 28 and cervical cancer 43 consumed Ser. Although Ser and Gly could be inter-converted and either of them might be used for one-carbon metabolism and nucleotide synthesis, convincing evidence suggested that cancer cell proliferation were supported by Ser instead of Gly consumption.…”

Section: Mechanism Underlying Alterations Of Pfaa Profilesmentioning

confidence: 99%

Plasma-free amino acid profiles are predictors of cancer and diabetes development

Henry

2017

Nutr & Diabetes

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Type 2 diabetes (T2D) and cancers are two major causes of morbidity and mortality worldwide. Nowadays, there is convincing evidence of positive associations between T2D and the incidence or prognosis of a wide spectrum of cancers, for example, breast, colon, liver and pancreas. Many observational studies suggest that certain medications used to treat hyperglycemia (or T2D) may affect cancer cells directly or indirectly. The potential mechanisms of the direct T2D cancer links have been hypothesized to be hyperinsulinemia, hyperglycemia and chronic inflammation; however, the metabolic pathways that lead to T2D and cancers still remain elusive. Plasma-free amino acid (PFAA) profiles have been highlighted in their associations with the risks of developing T2D and cancers in individuals with different ethnic groups and degree of obesity. The alterations of PFAAs might be predominately caused by the metabolic shift resulted from insulin resistance. The underlying mechanisms have not been fully elucidated, in particular whether the amino acids are contributing to these diseases development in a causal manner. This review addresses the molecular and clinical associations between PFAA alterations and both T2D and cancers, and interprets possible mechanisms involved. Revealing these interactions and mechanisms may improve our understanding of the complex pathogenesis of diabetes and cancers and improve their treatment strategies.

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Section: Mechanism Underlying Alterations Of Pfaa Profilesmentioning

confidence: 99%

Plasma-free amino acid profiles are predictors of cancer and diabetes development

Henry

2017

Nutr & Diabetes

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“…The Fischer index (the ratio of branched chain amino acids to aromatic amino acids) is a useful indicator for diagnosis and prediction of liver diseases [5]. Previous studies have shown that several cancers, including lung, gastric, colorectal, breast and prostate cancer, influence plasma free amino acid profiles, and measuring these profiles accurately could be a valuable diagnostic tool [6][7][8][9][10][11]. Furthermore, plasma free amino acid profiles are also associated with visceral fat accumulation in obese Japanese subjects [12].…”

Section: Introductionmentioning

confidence: 97%

Validation of an analytical method for human plasma free amino acids by high-performance liquid chromatography ionization mass spectrometry using automated precolumn derivatization

Yoshida

Kondo

Yamamoto

et al. 2015

Journal of Chromatography B

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“…At the same time, it was convincingly demonstrated that the removal or correction of the intermediate metabolic changes can be achieved using individual amino acids and their derivatives or a combination of them as universal natural bioregulators -compounds that has direct effect on the mechanisms of cellular metabolism in physiological concentrations [1][2][3]. To date, there are evidences of the importance of not only amino acids as building blocks for protein synthesis, but regulators of gene expression at the level of mRNA translation by mTOR-dependent mechanism, signaling molecules and bio-logical response modifiers, as well as, precursors of a wide range of bioregulators, which play a key role in the integration of major metabolic fluxes [12][13][14][15][16].…”

Section: Resultsmentioning

confidence: 99%

The Amino Acid Pool in Oncology: Plastic Substrates, Specific Regulators of Metabolism and Markers

Karavay¹,

Karavay²,

Nefyodov³

2017

J Pat Care

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On the basis of experimental data we suggest that discovered differences in certain amino acids concentrations in blood plasma, red blood cells and tumors are criteria in early diagnostic of primary cancerous growth as well as, in estimation of the effectiveness of specific cancer treatment. In clinical studies (1,495 patients with cancer of mammary gland, lungs, prostate, ovaries, bladder or digestive tract) biological fluids and tumors of cancer patients significant changes of physiological concentrations of amino acids real or indirectly regulate processes of the antitumor response, oncogenesis, immunogenesis and apoptosis were shown. Our strategy of application of amino acids as medicinal preparations includes a directional effect on the functional and metabolic relationships which change in specific pathology through the effect on the regulatory mechanisms of intermediate metabolic reactions, limiting stages of metabolic flows, utilization of energy substrates and transport systems restricting the processes of amino acids pool formation. The creation methodology of pathogenetic compositions of amino acids and their derivatives on the basis of their physiological concentration for practical application in oncology of their regulatory effects was discussed.that practically ignored their regulatory effects on metabolic processes and key metabolic reactions.To understand the metabolic processes and vital functions of the regulatory effect of amino acids, this manifests itself under natural or near concentrations of these compounds in body fluids and tissues. It is obvious that the effective use of L-amino acids or their derivatives for metabolic correction and directional changes in metabolism in pathological or extreme conditions limited accumulation of information about theme mechanisms of regulatory effects of the compounds tested at concentrations comparable to their physiological (endogenous) level [1][2][3][4][5][6][7][8][9][10]. Materials and Methods Our development methodology is based on• The study of physiological concentrations of free amino acids, their derivatives, precursors and metabolites, as well as, biochemical marker parameters in healthy donors and patients with various pathologies.• Creating a unified database for the studied parameters, construction of empirical mathematical model consisting of pathogenic markers specific pathology and amino acid profiles.• Specialized development of new formulations of the compositions of infusion solutions of amino acids and their Journal of Patient CareJo u r n al of Pati en t C a re

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Amino acid profile index for early detection of endometrial cancer: verification as a novel diagnostic marker

Abstract: The sensitivity and disease specificity of API for early-stage detection of endometrial cancer was superior to CA125. This novel plasma biomarker has the potential to become a diagnostic and screening marker for endometrial cancer.

Cited by 57 publications

References 21 publications

Plasma-free amino acid profiles are predictors of cancer and diabetes development

Plasma-free amino acid profiles are predictors of cancer and diabetes development

Validation of an analytical method for human plasma free amino acids by high-performance liquid chromatography ionization mass spectrometry using automated precolumn derivatization

The Amino Acid Pool in Oncology: Plastic Substrates, Specific Regulators of Metabolism and Markers

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