Literature DB >> 30957583

Metabolomic profiling for the identification of novel diagnostic markers and therapeutic targets in prostate cancer: an update.

Giuseppe Lucarelli1, Davide Loizzo1, Matteo Ferro2, Monica Rutigliano1, Mihai Dorin Vartolomei3, Francesco Cantiello4, Carlo Buonerba5, Giuseppe Di Lorenzo5, Daniela Terracciano6, Ottavio De Cobelli2, Carlo Bettocchi1, Pasquale Ditonno1, Michele Battaglia1.   

Abstract

INTRODUCTION: An altered metabolic regulation is involved in the development and progression of different cancer types. As well as this, many genes associated with tumors are shown to have an important role in control of the metabolism. The incidence of prostate cancer (PCa) is increased in men with metabolic disorders. In particular, obesity is an established risk factor for PCa. An increased body mass index correlates with aggressive disease, and a higher risk of biochemical recurrence and prostate cancer-specific mortality. Increased lipogenesis is also one of the most significant events in PCa metabolism reprogramming. Areas covered: In this article, we provide an updated review of the current understanding of the PCa metabolome and evaluate the possibility of unveiling novel therapeutic targets. Expert opinion: Obesity is an established risk factor for PCa, and an increased BMI correlates with aggressive disease, and a higher risk of biochemical recurrence and prostate cancer-specific mortality. PCa metabolome is characterized by the accumulation of metabolic intermediates and an increased expression of genes in the tricarboxylic acid cycle, the induction of de novo lipogenesis and cholesterogenesis. PCa cells can induce different alterations in their microenvironment by modulating the crosstalk between cancer and stromal cells.

Entities:  

Keywords:  Metabolomics; SREBP; cholesterol; fatty acids; lipid metabolism; prostate cancer

Mesh:

Substances:

Year:  2019        PMID: 30957583     DOI: 10.1080/14737159.2019.1604223

Source DB:  PubMed          Journal:  Expert Rev Mol Diagn        ISSN: 1473-7159            Impact factor:   5.225


  14 in total

1.  NMR metabolomic profiles associated with long-term risk of prostate cancer.

Authors:  Lucie Lécuyer; Agnès Victor Bala; Aicha Demidem; Adrien Rossary; Nadia Bouchemal; Mohamed Nawfal Triba; Pilar Galan; Serge Hercberg; Valentin Partula; Bernard Srour; Paule Latino-Martel; Emmanuelle Kesse-Guyot; Nathalie Druesne-Pecollo; Marie-Paule Vasson; Mélanie Deschasaux-Tanguy; Philippe Savarin; Mathilde Touvier
Journal:  Metabolomics       Date:  2021-03-11       Impact factor: 4.290

Review 2.  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

3.  Biomarker Potential of Plasma MicroRNA-150-5p in Prostate Cancer.

Authors:  Ionut Andrei Paunescu; Razvan Bardan; Anca Marcu; Diana Nitusca; Alis Dema; Serban Negru; Ovidiu Balacescu; Loredana Balacescu; Alin Cumpanas; Ioan Ovidiu Sirbu; Bogdan Petrut; Edward Seclaman; Catalin Marian
Journal:  Medicina (Kaunas)       Date:  2019-09-03       Impact factor: 2.430

4.  Assessment of biochemical recurrence of prostate cancer (Review).

Authors:  Xiaozeng Lin; Anil Kapoor; Yan Gu; Mathilda Jing Chow; Hui Xu; Pierre Major; Damu Tang
Journal:  Int J Oncol       Date:  2019-10-04       Impact factor: 5.650

5.  Association of Hsa-miR-23a rs3745453 variation with prostate cancer risk among Chinese Han population: A case-control study.

Authors:  Minhao Zhang; Yali Wang; Can Wang; Zonghao You; Shuqiu Chen; Qingfang Kong; Bin Xu; Chunhui Liu; Ming Chen
Journal:  Medicine (Baltimore)       Date:  2019-12       Impact factor: 1.817

6.  Integration of Lipidomics and Transcriptomics Reveals Reprogramming of the Lipid Metabolism and Composition in Clear Cell Renal Cell Carcinoma.

Authors:  Giuseppe Lucarelli; Matteo Ferro; Davide Loizzo; Cristina Bianchi; Daniela Terracciano; Francesco Cantiello; Lauren N Bell; Stefano Battaglia; Camillo Porta; Angela Gernone; Roberto A Perego; Eugenio Maiorano; Ottavio de Cobelli; Giuseppe Castellano; Leonardo Vincenti; Pasquale Ditonno; Michele Battaglia
Journal:  Metabolites       Date:  2020-12-13

7.  Identification of metabolites associated with prostate cancer risk: a nested case-control study with long follow-up in the Northern Sweden Health and Disease Study.

Authors:  Hanna E Röhnisch; Cecilie Kyrø; Anja Olsen; Elin Thysell; Göran Hallmans; Ali A Moazzami
Journal:  BMC Med       Date:  2020-07-23       Impact factor: 8.775

8.  XPC exon15 Lys939Gln variant increase susceptibility to prostate adenocarcinoma: Evidence based on 4306 patients and 4779 controls.

Authors:  Feng Qin; Sheng-Lin Gao; Kai Xu; Quan-Xin Su; Ze Zhang; Li Shi; Li-Jie Zhu; Li-Feng Zhang; Li Zuo
Journal:  Medicine (Baltimore)       Date:  2020-07-10       Impact factor: 1.817

9.  Cribriform pattern does not have a significant impact in Gleason Score ≥7/ISUP Grade ≥2 prostate cancers submitted to radical prostatectomy.

Authors:  Simone Flammia; Marco Frisenda; Martina Maggi; Fabio Massimo Magliocca; Antonio Ciardi; Valeria Panebianco; Ettore De Berardinis; Stefano Salciccia; Giovanni Battista Di Pierro; Alessandro Gentilucci; Francesco Del Giudice; Gian Maria Busetto; Michele Gallucci; Alessandro Sciarra
Journal:  Medicine (Baltimore)       Date:  2020-09-18       Impact factor: 1.817

10.  Comprehensive analysis of biomarkers for prostate cancer based on weighted gene co-expression network analysis.

Authors:  Xuan Chen; Jingyao Wang; Xiqi Peng; Kaihao Liu; Chunduo Zhang; Xingzhen Zeng; Yongqing Lai
Journal:  Medicine (Baltimore)       Date:  2020-04       Impact factor: 1.817

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