Literature DB >> 24333717

Metabolomics in diagnosis and biomarker discovery of colorectal cancer.

Aihua Zhang1, Hui Sun1, Guangli Yan1, Ping Wang1, Ying Han1, Xijun Wang2.   

Abstract

Colorectal cancer (CRC), a major public health concern, is the second leading cause of cancer death in developed countries. There is a need for better preventive strategies to improve the patient outcome that is substantially influenced by cancer stage at the time of diagnosis. Patients with early stage colorectal have a significant higher 5-year survival rates compared to patients diagnosed at late stage. Although traditional colonoscopy remains the effective means to diagnose CRC, this approach generally suffers from poor patient compliance. Thus, it is important to develop more effective methods for early diagnosis of this disease process, also there is an urgent need for biomarkers to diagnose CRC, assess disease severity, and prognosticate course. Increasing availability of high-throughput methodologies open up new possibilities for screening new potential candidates for identifying biomarkers. Fortunately, metabolomics, the study of all metabolites produced in the body, considered most closely related to a patient's phenotype, can provide clinically useful biomarkers applied in CRC, and may now open new avenues for diagnostics. It has a largely untapped potential in the field of oncology, through the analysis of the cancer metabolome to identify marker metabolites defined here as surrogate indicators of physiological or pathophysiological states. In this review we take a closer look at the metabolomics used within the field of colorectal cancer. Further, we highlight the most interesting metabolomics publications and discuss these in detail; additional studies are mentioned as a reference for the interested reader.
Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Biomarkers; Colorectal cancer; Early diagnosis; Metabolites; Metabolomics

Mesh:

Substances:

Year:  2013        PMID: 24333717     DOI: 10.1016/j.canlet.2013.11.011

Source DB:  PubMed          Journal:  Cancer Lett        ISSN: 0304-3835            Impact factor:   8.679


  58 in total

1.  A critical analysis of the relationship between aldehyde dehydrogenases-2 Glu487Lys polymorphism and colorectal cancer susceptibility.

Authors:  Bo Chen; Kong-Wang Hu; Jia-Wei Zhang; Zhi-Jian Wei; Xiang-Ling Meng; Mao-Ming Xiong
Journal:  Pathol Oncol Res       Date:  2015-01-09       Impact factor: 3.201

2.  Modeling of Tumor Growth with Input from Patient-Specific Metabolomic Data.

Authors:  Hunter A Miller; John Lowengrub; Hermann B Frieboes
Journal:  Ann Biomed Eng       Date:  2022-01-26       Impact factor: 3.934

Review 3.  A review of applications of metabolomics in osteoarthritis.

Authors:  Jie-Ting Li; Ni Zeng; Zhi-Peng Yan; Tao Liao; Guo-Xin Ni
Journal:  Clin Rheumatol       Date:  2020-11-20       Impact factor: 2.980

Review 4.  Metabolomic Biomarkers of Prostate Cancer: Prediction, Diagnosis, Progression, Prognosis, and Recurrence.

Authors:  Rachel S Kelly; Matthew G Vander Heiden; Edward Giovannucci; Lorelei A Mucci
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2016-04-06       Impact factor: 4.254

Review 5.  Translational metabolomics in cancer research.

Authors:  Nathaniel W Snyder; Clementina Mesaros; Ian A Blair
Journal:  Biomark Med       Date:  2015-09-01       Impact factor: 2.851

6.  Permutation-based identification of important biomarkers for complex diseases via machine learning models.

Authors:  Xinlei Mi; Baiming Zou; Fei Zou; Jianhua Hu
Journal:  Nat Commun       Date:  2021-05-21       Impact factor: 14.919

7.  Sulfasalazine modifies metabolic profiles and enhances cisplatin chemosensitivity on cholangiocarcinoma cells in in vitro and in vivo models.

Authors:  Malinee Thanee; Sureerat Padthaisong; Manida Suksawat; Hasaya Dokduang; Jutarop Phetcharaburanin; Poramate Klanrit; Attapol Titapun; Nisana Namwat; Arporn Wangwiwatsin; Prakasit Sa-Ngiamwibool; Narong Khuntikeo; Hideyuki Saya; Watcharin Loilome
Journal:  Cancer Metab       Date:  2021-03-16

8.  High-throughput lipidomics reveal mirabilite regulating lipid metabolism as anticancer therapeutics.

Authors:  Hong-Lian Zhang; Ai-Hua Zhang; Xiao-Hang Zhou; Hui Sun; Xiang-Qian Wang; Liu Liang; Xi-Jun Wang
Journal:  RSC Adv       Date:  2018-10-18       Impact factor: 4.036

Review 9.  Systems-level biomarkers identification and drug repositioning in colorectal cancer.

Authors:  Hande Beklen; Esra Yildirim; Medi Kori; Beste Turanli; Kazim Yalcin Arga
Journal:  World J Gastrointest Oncol       Date:  2021-07-15

10.  Metabolic fingerprinting to understand therapeutic effects and mechanisms of silybin on acute liver damage in rat.

Authors:  Qun Liang; Cong Wang; Binbing Li; Ai-Hua Zhang
Journal:  Pharmacogn Mag       Date:  2015 Jul-Sep       Impact factor: 1.085

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