Literature DB >> 25388527

Metabonomic profiling of bladder cancer.

Eric Chun Yong Chan1, Kishore Kumar Pasikanti, Yanjun Hong, Paul C Ho, Ratha Mahendran, Lata Raman Nee Mani, Edmund Chiong, Kesavan Esuvaranathan.   

Abstract

Early diagnosis and life-long surveillance are clinically important to improve the long-term survival of bladder cancer patients. Currently, a noninvasive biomarker that is as sensitive and specific as cystoscopy in detecting bladder tumors is lacking. Metabonomics is a complementary approach for identifying perturbed metabolic pathways in bladder cancer. Significant progress has been made using modern metabonomic techniques to characterize and distinguish bladder cancer patients from control subjects, identify marker metabolites, and shed insights on the disease biology and potential therapeutic targets. With its rapid development, metabonomics has the potential to impact the clinical management of bladder cancer patients in the future by revolutionizing the diagnosis and life-long surveillance strategies and stratifying patients for diagnostic, surgical, and therapeutic clinical trials. An introduction to metabonomics, typical metabonomic workflow, and critical evaluation of metabonomic investigations in identifying biomarkers for the diagnosis of bladder cancer are presented.

Entities:  

Keywords:  GC−MS; LC−MS; NMR; biomarker; bladder cancer; metabonomics

Mesh:

Year:  2014        PMID: 25388527     DOI: 10.1021/pr500966h

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


  17 in total

Review 1.  Recent advances in the metabolomic study of bladder cancer.

Authors:  Chandra Sekhar Amara; Venkatrao Vantaku; Yair Lotan; Nagireddy Putluri
Journal:  Expert Rev Proteomics       Date:  2019-02-26       Impact factor: 3.940

2.  Volatile metabolomic signature of bladder cancer cell lines based on gas chromatography-mass spectrometry.

Authors:  Daniela Rodrigues; Joana Pinto; Ana Margarida Araújo; Sara Monteiro-Reis; Carmen Jerónimo; Rui Henrique; Maria de Lourdes Bastos; Paula Guedes de Pinho; Márcia Carvalho
Journal:  Metabolomics       Date:  2018-04-17       Impact factor: 4.290

3.  TRAF6 expression is associated with poorer prognosis and high recurrence in urothelial bladder cancer.

Authors:  Hanli Wu; Aixia Hao; Honghong Cui; Wenbin Wu; Huanrong Yang; Baohong Hu; Peng Li
Journal:  Oncol Lett       Date:  2017-06-20       Impact factor: 2.967

4.  Large-scale profiling of serum metabolites in African American and European American patients with bladder cancer reveals metabolic pathways associated with patient survival.

Authors:  Venkatrao Vantaku; Sri Ramya Donepudi; Danthasinghe Waduge Badrajee Piyarathna; Chandra Sekhar Amara; Chandrashekar R Ambati; Wei Tang; Vasanta Putluri; Darshan S Chandrashekar; Sooryanarayana Varambally; Martha K Terris; Kimberly Davies; Stefan Ambs; Roni Bollag; Andrea B Apolo; Arun Sreekumar; Nagireddy Putluri
Journal:  Cancer       Date:  2019-01-02       Impact factor: 6.860

5.  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

Review 6.  Nuclear magnetic resonance spectroscopy as a new approach for improvement of early diagnosis and risk stratification of prostate cancer.

Authors:  Bo Yang; Guo-Qiang Liao; Xiao-Fei Wen; Wei-Hua Chen; Sheng Cheng; Jens-Uwe Stolzenburg; Roman Ganzer; Jochen Neuhaus
Journal:  J Zhejiang Univ Sci B       Date:  2017 Nov.       Impact factor: 3.066

Review 7.  Metabolomic Approaches for Detection and Identification of Biomarkers and Altered Pathways in Bladder Cancer.

Authors:  Nicola Antonio di Meo; Davide Loizzo; Savio Domenico Pandolfo; Riccardo Autorino; Matteo Ferro; Camillo Porta; Alessandro Stella; Cinzia Bizzoca; Leonardo Vincenti; Felice Crocetto; Octavian Sabin Tataru; Monica Rutigliano; Michele Battaglia; Pasquale Ditonno; Giuseppe Lucarelli
Journal:  Int J Mol Sci       Date:  2022-04-10       Impact factor: 6.208

8.  Tissue Metabonomic Phenotyping for Diagnosis and Prognosis of Human Colorectal Cancer.

Authors:  Yuan Tian; Tangpeng Xu; Jia Huang; Limin Zhang; Shan Xu; Bin Xiong; Yulan Wang; Huiru Tang
Journal:  Sci Rep       Date:  2016-02-15       Impact factor: 4.379

9.  Tumor growth affects the metabonomic phenotypes of multiple mouse non-involved organs in an A549 lung cancer xenograft model.

Authors:  Shan Xu; Yuan Tian; Yili Hu; Nijia Zhang; Sheng Hu; Dandan Song; Zhengshun Wu; Yulan Wang; Yanfang Cui; Huiru Tang
Journal:  Sci Rep       Date:  2016-06-22       Impact factor: 4.379

Review 10.  Advantages and Pitfalls of Mass Spectrometry Based Metabolome Profiling in Systems Biology.

Authors:  Ina Aretz; David Meierhofer
Journal:  Int J Mol Sci       Date:  2016-04-27       Impact factor: 5.923

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