Literature DB >> 25105552

Metabonomics of human colorectal cancer: new approaches for early diagnosis and biomarker discovery.

Yan Ni1, Guoxiang Xie, Wei Jia.   

Abstract

Colorectal cancer (CRC) is one of the most common cancers in the world, having both high prevalence and mortality. It is usually diagnosed at advanced stages due to the limitations of current screening methods used in the clinic. There is an urgent need to develop new biomarkers and modalities to detect, diagnose, and monitor the disease. Metabonomics, an approach that involves the comprehensive profiling of the full complement of endogenous metabolites in a biological system, has demonstrated its great potential for use in the early diagnosis and personalized treatment of various cancers including CRC. By applying advanced analytical techniques and bioinformatics tools, the metabolome is mined for biomarkers that are associated with carcinogenesis and prognosis. This review provides an overview of the metabonomics workflow and studies, with a focus on recent advances and findings in biomarker discovery for the early diagnosis and prognosis of CRC.

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Year:  2014        PMID: 25105552     DOI: 10.1021/pr500443c

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  46 in total

1.  Urinary Metabolomics to Identify a Unique Biomarker Panel for Detecting Colorectal Cancer: A Multicenter Study.

Authors:  Lu Deng; Kathleen Ismond; Zhengjun Liu; Jeremy Constable; Haili Wang; Olusegun I Alatise; Martin R Weiser; T P Kingham; David Chang
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2019-05-31       Impact factor: 4.254

2.  Effect of lentivirus-mediated shRNA inactivation of HK1, HK2, and HK3 genes in colorectal cancer and melanoma cells.

Authors:  Anna V Kudryavtseva; Maria S Fedorova; Alex Zhavoronkov; Alexey A Moskalev; Alexander S Zasedatelev; Alexey A Dmitriev; Asiya F Sadritdinova; Irina Y Karpova; Kirill M Nyushko; Dmitry V Kalinin; Nadezhda N Volchenko; Nataliya V Melnikova; Kseniya M Klimina; Dmitry V Sidorov; Anatoly Y Popov; Tatiana V Nasedkina; Andrey D Kaprin; Boris Y Alekseev; George S Krasnov; Anastasiya V Snezhkina
Journal:  BMC Genet       Date:  2016-12-22       Impact factor: 2.797

3.  ERα upregulates the expression of long non-coding RNA LINC00472 which suppresses the phosphorylation of NF-κB in breast cancer.

Authors:  Zhanwei Wang; Dionyssios Katsaros; Nicoletta Biglia; Yi Shen; Lenora Loo; Xiao Yu; Hongyan Lin; Yuanyuan Fu; Wen-Ming Chu; Peiwen Fei; Yan Ni; Wei Jia; Xiaobei Deng; Biyun Qian; Herbert Yu
Journal:  Breast Cancer Res Treat       Date:  2019-03-04       Impact factor: 4.872

4.  The Healthy Core Metabolism: A New Paradigm for Primary Preventive Nutrition.

Authors:  A Fardet; E Rock
Journal:  J Nutr Health Aging       Date:  2016-03       Impact factor: 4.075

5.  Beneficial Regulation of Metabolic Profiles by Black Raspberries in Human Colorectal Cancer Patients.

Authors:  Pan Pan; Chad W Skaer; Steven M Stirdivant; Matthew R Young; Gary D Stoner; John F Lechner; Yi-Wen Huang; Li-Shu Wang
Journal:  Cancer Prev Res (Phila)       Date:  2015-06-08

6.  Distinct Metabolic Signature of Human Bladder Cancer Cells Carrying an Impaired Fanconi Anemia Tumor-Suppressor Signaling Pathway.

Authors:  Jayabal Panneerselvam; Guoxiang Xie; Raymond Che; Mingming Su; Jun Zhang; Wei Jia; Peiwen Fei
Journal:  J Proteome Res       Date:  2016-03-16       Impact factor: 4.466

7.  Metabolic phenotyping to monitor chronic enteritis canceration.

Authors:  Fan Zhang; Chunbo Li; Kui Deng; Zhuozhong Wang; Weiwei Zhao; Kai Yang; Chunyan Yang; Zhiwei Rong; Lei Cao; Yaxin Lu; Yue Huang; Peng Han; Kang Li
Journal:  Metabolomics       Date:  2020-02-24       Impact factor: 4.290

Review 8.  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

9.  Metabolomic profiles of arsenic (+3 oxidation state) methyltransferase knockout mice: effect of sex and arsenic exposure.

Authors:  Madelyn C Huang; Christelle Douillet; Mingming Su; Kejun Zhou; Tao Wu; Wenlian Chen; Joseph A Galanko; Zuzana Drobná; R Jesse Saunders; Elizabeth Martin; Rebecca C Fry; Wei Jia; Miroslav Stýblo
Journal:  Arch Toxicol       Date:  2016-02-16       Impact factor: 5.153

10.  How to Screen and Prevent Metabolic Syndrome in Patients of PCOS Early: Implications From Metabolomics.

Authors:  Xiaoxuan Zhao; Xiaoling Feng; Xinjie Zhao; Yuepeng Jiang; Xianna Li; Jingyun Niu; Xiaoyu Meng; Jing Wu; Guowang Xu; Lihui Hou; Ying Wang
Journal:  Front Endocrinol (Lausanne)       Date:  2021-06-02       Impact factor: 5.555

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