Literature DB >> 27033065

Amino acid profiling as a method of discovering biomarkers for early diagnosis of cancer.

Edyta Simińska1, Marcin Koba2.   

Abstract

Cancer is one of the main causes of mortality in the world and its early detection significantly increases chances of patients' survival. High cancer mortality rate is caused mainly by late-stage diagnosis and lack of non-invasive and reliable methods for early diagnosis, such as plasma biomarkers. The incidence of cancers in the world still grows so it is crucial to develop a new, faster, high specificity and more sensitive diagnostic technologies. Several recent researchers indicate amino acids as a potential marker for cancer detection. An ideal cancer biomarker should be characterized by high specificity and sensitivity, reliability, ease of measurement and, what is important, ability to detect disease in its early stage. This study is focused on indicating metabolic amino acid profiling as a method of identifying biomarkers for cancer early detection and screening. Presented results are derived from the most recent studies where patients in early, often asymptomatic stages of disease constituted a large percentage of all the patients and, what is important, where researchers have observed alterations in these patients' amino acid profiles. This review is concentrated on analyzing studies on the most common cancers with high mortality rate. Inventing effective methods of early diagnosis is particularly important in case of such diseases. Research presented in this publication is focused on patients with lung, breast and colon cancer. In all analyzed cases, significant changes in the amino acid profile in cancer patients comparing to healthy controls were observed. This study indicates potential of amino acid profiling as method for early cancer detection.

Entities:  

Keywords:  Amino acid profiling; Biomarker; Cancer; Early diagnosis; Metabolomics

Mesh:

Substances:

Year:  2016        PMID: 27033065     DOI: 10.1007/s00726-016-2215-2

Source DB:  PubMed          Journal:  Amino Acids        ISSN: 0939-4451            Impact factor:   3.520


  17 in total

1.  Resolution and Assignment of Differential Ion Mobility Spectra of Sarcosine and Isomers.

Authors:  Francis Berthias; Belkis Maatoug; Gary L Glish; Fathi Moussa; Philippe Maitre
Journal:  J Am Soc Mass Spectrom       Date:  2018-02-21       Impact factor: 3.109

2.  Plasma amino acids indicate glioblastoma with ATRX loss.

Authors:  Ernest Jan Bobeff; Dorota Szczesna; Michał Bieńkowski; Karolina Janczar; Malgorzata Chmielewska-Kassassir; Karol Wiśniewski; Wielisław Papierz; Lucyna Alicja Wozniak; Dariusz Jan Jaskólski
Journal:  Amino Acids       Date:  2021-01-04       Impact factor: 3.520

3.  A Prospective Targeted Serum Metabolomics Study of Pancreatic Cancer in Postmenopausal Women.

Authors:  Li Jiao; Suman Maity; Cristian Coarfa; Kimal Rajapakshe; Liang Chen; Feng Jin; Vasanta Putluri; Lesley F Tinker; Qianxing Mo; Fengju Chen; Subrata Sen; Haleh Sangi-Hyghpeykar; Hashem B El-Serag; Nagireddy Putluri
Journal:  Cancer Prev Res (Phila)       Date:  2019-02-05

4.  Parahydrogen Hyperpolarization Allows Direct NMR Detection of α-Amino Acids in Complex (Bio)mixtures.

Authors:  Lisanne Sellies; Ruud L E G Aspers; Martin C Feiters; Floris P J T Rutjes; Marco Tessari
Journal:  Angew Chem Int Ed Engl       Date:  2021-11-18       Impact factor: 16.823

5.  Analysis of metabolites and metabolic pathways in breast cancer in a Korean prospective cohort: the Korean Cancer Prevention Study-II.

Authors:  Hye Jin Yoo; Minjoo Kim; Minkyung Kim; Minsik Kang; Keum Ji Jung; Se-Mi Hwang; Sun Ha Jee; Jong Ho Lee
Journal:  Metabolomics       Date:  2018-06-08       Impact factor: 4.290

6.  Metabolomic identification of diagnostic serum-based biomarkers for advanced stage melanoma.

Authors:  A W L Bayci; D A Baker; A E Somerset; O Turkoglu; Z Hothem; R E Callahan; R Mandal; B Han; T Bjorndahl; D Wishart; R Bahado-Singh; S F Graham; R Keidan
Journal:  Metabolomics       Date:  2018-08-03       Impact factor: 4.290

7.  Usefulness of Amino Acid Profiling in Ovarian Cancer Screening with Special Emphasis on Their Role in Cancerogenesis.

Authors:  Szymon Plewa; Agnieszka Horała; Paweł Dereziński; Agnieszka Klupczynska; Ewa Nowak-Markwitz; Jan Matysiak; Zenon J Kokot
Journal:  Int J Mol Sci       Date:  2017-12-16       Impact factor: 5.923

8.  Cheminformatics approach to exploring and modeling trait-associated metabolite profiles.

Authors:  Jeremy R Ash; Melaine A Kuenemann; Daniel Rotroff; Alison Motsinger-Reif; Denis Fourches
Journal:  J Cheminform       Date:  2019-06-24       Impact factor: 5.514

9.  Metabolomics: a promising diagnostic and therapeutic implement for breast cancer.

Authors:  Zhanghan Chen; Zehuan Li; Haoran Li; Ying Jiang
Journal:  Onco Targets Ther       Date:  2019-08-21       Impact factor: 4.147

10.  2-Deoxy-d-Glucose-Induced Metabolic Alteration in Human Oral Squamous SCC15 Cells: Involvement of N-Glycosylation of Axl and Met.

Authors:  Naeun Lee; Won-Jun Jang; Ji Hae Seo; Sooyeun Lee; Chul-Ho Jeong
Journal:  Metabolites       Date:  2019-09-17
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