Literature DB >> 22768978

Analysis of urinary metabolic signatures of early hepatocellular carcinoma recurrence after surgical removal using gas chromatography-mass spectrometry.

Guozhu Ye1, Bin Zhu, Zhenzhen Yao, Peiyuan Yin, Xin Lu, Hongwei Kong, Fei Fan, Binghua Jiao, Guowang Xu.   

Abstract

The objective of present study was to offer insights into the metabolic responses of hepatocellular carcinoma (HCC) to surgical resection and the metabolic signatures latent in early HCC recurrence (one year after operation). Urinary metabolic profiling employing gas chromatography time-of-flight mass spectrometry (GC-TOF MS) was utilized to investigate the complex physiopathologic regulations in HCC after operational intervention. It was revealed that an intricate series of metabolic regulations including energy metabolism, amino acid metabolism, nucleoside metabolism, tricarboxylic acid (TCA) cycle, gut floral metabolism, etc., principally leading to the direction of biomass synthesis, could be observed after tumor surgical removal. Moreover, metabolic differences between recurrent and nonrecurrent patients had emerged 7 days after initial operation. The metabolic signatures of HCC recurrence principally comprised notable up-regulations of lactate excretion, succinate production, purine and pyrimidine nucleosides turnover, glycine, serine and threonine metabolism, aromatic amino acid turnover, cysteine and methionine metabolism, and glyoxylate metabolism, similar to metabolic behaviors of HCC burden. Sixteen metabolites were found to be significantly increased in the recurrent patients compared with those in nonrecurrent patients and healthy controls. Five metabolites (ethanolamine, lactic acid, acotinic acid, phenylalanine and ribose) were further defined; they were favorable to the prediction of early recurrence.

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Year:  2012        PMID: 22768978     DOI: 10.1021/pr300502v

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


  27 in total

Review 1.  Review of mass spectrometry-based metabolomics in cancer research.

Authors:  David B Liesenfeld; Nina Habermann; Robert W Owen; Augustin Scalbert; Cornelia M Ulrich
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2013-10-04       Impact factor: 4.254

2.  A reliable LC-MS/MS method for the quantification of natural amino acids in mouse plasma: Method validation and application to a study on amino acid dynamics during hepatocellular carcinoma progression.

Authors:  Zhenzhen Liu; Mei-Juan Tu; Chao Zhang; Joseph L Jilek; Qian-Yu Zhang; Ai-Ming Yu
Journal:  J Chromatogr B Analyt Technol Biomed Life Sci       Date:  2019-06-02       Impact factor: 3.205

3.  Peroxisome proliferator-activated receptor A/G reprogrammes metabolism associated with lipid accumulation in macrophages.

Authors:  Guozhu Ye; Han Gao; Yi Lin; Dongxiao Ding; Xu Liao; Han Zhang; Yulang Chi; Sijun Dong
Journal:  Metabolomics       Date:  2019-03-04       Impact factor: 4.290

Review 4.  Novel methodologies in analysis of small molecule biomarkers and living cells.

Authors:  Yinan Chen; Zhenggang Zhu; Yingyan Yu
Journal:  Tumour Biol       Date:  2014-08-14

Review 5.  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 6.  The metabolomic window into hepatobiliary disease.

Authors:  Diren Beyoğlu; Jeffrey R Idle
Journal:  J Hepatol       Date:  2013-05-25       Impact factor: 25.083

Review 7.  Metabolomics study of oral cancers.

Authors:  Xun Chen; Dongsheng Yu
Journal:  Metabolomics       Date:  2019-02-08       Impact factor: 4.290

8.  Non-invasive fecal metabonomic detection of colorectal cancer.

Authors:  Lee Cheng Phua; Xiu Ping Chue; Poh Koon Koh; Peh Yean Cheah; Han Kiat Ho; Eric Chun Yong Chan
Journal:  Cancer Biol Ther       Date:  2014-01-14       Impact factor: 4.742

9.  Tissue metabolomics of hepatocellular carcinoma: tumor energy metabolism and the role of transcriptomic classification.

Authors:  Diren Beyoğlu; Sandrine Imbeaud; Olivier Maurhofer; Paulette Bioulac-Sage; Jessica Zucman-Rossi; Jean-François Dufour; Jeffrey R Idle
Journal:  Hepatology       Date:  2013-05-08       Impact factor: 17.425

Review 10.  Prognostic biomarkers for prediction of recurrence of hepatocellular carcinoma: current status and future prospects.

Authors:  Seow Chong Lee; Hwee Tong Tan; Maxey Ching Ming Chung
Journal:  World J Gastroenterol       Date:  2014-03-28       Impact factor: 5.742

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