Literature DB >> 26804544

Biomarkers in bladder cancer: A metabolomic approach using in vitro and ex vivo model systems.

Daniela Rodrigues1, Carmen Jerónimo2,3, Rui Henrique2,3,4, Luís Belo5, Maria de Lourdes Bastos1, Paula Guedes de Pinho1, Márcia Carvalho1,6.   

Abstract

Metabolomics has recently proved to be useful in the area of biomarker discovery for cancers in which early diagnostic and prognostic biomarkers are urgently needed, as is the case of bladder cancer (BC). This article presents a comprehensive review of the literature on the metabolomic studies on BC, highlighting metabolic pathways perturbed in this disease and the altered metabolites as potential biomarkers for BC detection. Current disease model systems used in the study of BC metabolome include in vitro-cultured cancer cells, ex vivo neoplastic bladder tissues and biological fluids, mainly urine but also blood serum/plasma, from BC patients. The major advantages and drawbacks of each model system are discussed. Based on available data, it seems that BC metabolic signature is mainly characterized by alterations in metabolites related to energy metabolic pathways, particularly glycolysis, amino acid and fatty acid metabolism, known to be crucial for cell proliferation, as well as glutathione metabolism, known to be determinant in maintaining cellular redox balance. In addition, purine and pyrimidine metabolism as well as carnitine species were found to be altered in BC. Finally, it is emphasized that, despite the progress made in respect to novel biomarkers for BC diagnosis, there are still some challenges and limitations that should be addressed in future metabolomic studies to ensure their translatability to clinical practice.
© 2016 UICC.

Entities:  

Keywords:  biofluids; biomarkers; bladder cancer; cell lines; metabolic pathways; metabolomics; review; serum; tissue; urine

Mesh:

Substances:

Year:  2016        PMID: 26804544     DOI: 10.1002/ijc.30016

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  29 in total

1.  Recognition of early and late stages of bladder cancer using metabolites and machine learning.

Authors:  Valentina L Kouznetsova; Elliot Kim; Eden L Romm; Alan Zhu; Igor F Tsigelny
Journal:  Metabolomics       Date:  2019-06-20       Impact factor: 4.290

2.  A systematic review on metabolomics-based diagnostic biomarker discovery and validation in pancreatic cancer.

Authors:  Nguyen Phuoc Long; Sang Jun Yoon; Nguyen Hoang Anh; Tran Diem Nghi; Dong Kyu Lim; Yu Jin Hong; Soon-Sun Hong; Sung Won Kwon
Journal:  Metabolomics       Date:  2018-08-10       Impact factor: 4.290

3.  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

4.  The impact of cruciferous vegetable isothiocyanates on histone acetylation and histone phosphorylation in bladder cancer.

Authors:  Besma Abbaoui; Kelly H Telu; Christopher R Lucas; Jennifer M Thomas-Ahner; Steven J Schwartz; Steven K Clinton; Michael A Freitas; Amir Mortazavi
Journal:  J Proteomics       Date:  2017-01-27       Impact factor: 4.044

5.  Comprehensive Urinomic Identification of Protein Alternatives to Creatinine Normalization for Diagnostic Assessment of Lupus Nephritis.

Authors:  Sanam Soomro; Samantha Stanley; Rongwei Lei; Ramesh Saxena; Michelle Petri; Chandra Mohan
Journal:  Front Immunol       Date:  2022-06-14       Impact factor: 8.786

6.  Serum Metabolic Profiling Identified a Distinct Metabolic Signature in Bladder Cancer Smokers: A Key Metabolic Enzyme Associated with Patient Survival.

Authors:  Chandra Sekhar Amara; Chandrashekar R Ambati; Venkatrao Vantaku; Danthasinghe Waduge Badrajee Piyarathna; Sri Ramya Donepudi; Shiva Shankar Ravi; James M Arnold; Vasanta Putluri; Gurkamal Chatta; Khurshid A Guru; Hoda Badr; Martha K Terris; Roni J Bollag; Arun Sreekumar; Andrea B Apolo; Nagireddy Putluri
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2019-01-14       Impact factor: 4.254

7.  Closing the gap between in vivo and in vitro omics: using QA/QC to strengthen ex vivo NMR metabolomics.

Authors:  Amith Sadananda Maroli; Robert Powers
Journal:  NMR Biomed       Date:  2021-08-08       Impact factor: 4.044

8.  Metabolomics in Glaucoma: A Systematic Review.

Authors:  Ying Wang; Xiao-Wen Hou; Gang Liang; Chen-Wei Pan
Journal:  Invest Ophthalmol Vis Sci       Date:  2021-05-03       Impact factor: 4.799

Review 9.  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

Review 10.  Host-Microbiome Interaction and Cancer: Potential Application in Precision Medicine.

Authors:  Alejandra V Contreras; Benjamin Cocom-Chan; Georgina Hernandez-Montes; Tobias Portillo-Bobadilla; Osbaldo Resendis-Antonio
Journal:  Front Physiol       Date:  2016-12-09       Impact factor: 4.566

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