Literature DB >> 24359151

Metabolomic profiling identifies biochemical pathways associated with castration-resistant prostate cancer.

Akash K Kaushik1, Shaiju K Vareed, Sumanta Basu, Vasanta Putluri, Nagireddy Putluri, Katrin Panzitt, Christine A Brennan, Arul M Chinnaiyan, Ismael A Vergara, Nicholas Erho, Nancy L Weigel, Nicholas Mitsiades, Ali Shojaie, Ganesh Palapattu, George Michailidis, Arun Sreekumar.   

Abstract

Despite recent developments in treatment strategies, castration-resistant prostate cancer (CRPC) is still the second leading cause of cancer-associated mortality among American men, the biological underpinnings of which are not well understood. To this end, we measured levels of 150 metabolites and examined the rate of utilization of 184 metabolites in metastatic androgen-dependent prostate cancer (AD) and CRPC cell lines using a combination of targeted mass spectrometry and metabolic phenotyping. Metabolic data were used to derive biochemical pathways that were enriched in CRPC, using Oncomine concept maps (OCM). The enriched pathways were then examined in-silico for their association with treatment failure (i.e., prostate specific antigen (PSA) recurrence or biochemical recurrence) using published clinically annotated gene expression data sets. Our results indicate that a total of 19 metabolites were altered in CRPC compared to AD cell lines. These altered metabolites mapped to a highly interconnected network of biochemical pathways that describe UDP glucuronosyltransferase (UGT) activity. We observed an association with time to treatment failure in an analysis employing genes restricted to this pathway in three independent gene expression data sets. In summary, our studies highlight the value of employing metabolomic strategies in cell lines to derive potentially clinically useful predictive tools.

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Year:  2013        PMID: 24359151      PMCID: PMC3975657          DOI: 10.1021/pr401106h

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


  56 in total

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Authors:  Daniel R Rhodes; Jianjun Yu; K Shanker; Nandan Deshpande; Radhika Varambally; Debashis Ghosh; Terrence Barrette; Akhilesh Pandey; Arul M Chinnaiyan
Journal:  Neoplasia       Date:  2004 Jan-Feb       Impact factor: 5.715

2.  Unusual specificity of the androgen receptor in the human prostate tumor cell line LNCaP: high affinity for progestagenic and estrogenic steroids.

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3.  Integrative genomic profiling of human prostate cancer.

Authors:  Barry S Taylor; Nikolaus Schultz; Haley Hieronymus; Anuradha Gopalan; Yonghong Xiao; Brett S Carver; Vivek K Arora; Poorvi Kaushik; Ethan Cerami; Boris Reva; Yevgeniy Antipin; Nicholas Mitsiades; Thomas Landers; Igor Dolgalev; John E Major; Manda Wilson; Nicholas D Socci; Alex E Lash; Adriana Heguy; James A Eastham; Howard I Scher; Victor E Reuter; Peter T Scardino; Chris Sander; Charles L Sawyers; William L Gerald
Journal:  Cancer Cell       Date:  2010-06-24       Impact factor: 31.743

4.  Studies on prostatic cancer. I. The effect of castration, of estrogen and androgen injection on serum phosphatases in metastatic carcinoma of the prostate.

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5.  A controlled trial of leuprolide with and without flutamide in prostatic carcinoma.

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Journal:  N Engl J Med       Date:  1989-08-17       Impact factor: 91.245

6.  Identification and validation of novel androgen-regulated genes in prostate cancer.

Authors:  Anne Marie Velasco; Kimberly A Gillis; Yizheng Li; Eugene L Brown; Tammy M Sadler; Maria Achilleos; Lee M Greenberger; Philip Frost; Wenlong Bai; Yixian Zhang
Journal:  Endocrinology       Date:  2004-05-06       Impact factor: 4.736

7.  Transcriptional silencing of zinc finger protein 185 identified by expression profiling is associated with prostate cancer progression.

Authors:  Donkena Krishna Vanaja; John C Cheville; Steve J Iturria; Charles Y F Young
Journal:  Cancer Res       Date:  2003-07-15       Impact factor: 12.701

8.  Gene expression profiling predicts clinical outcome of prostate cancer.

Authors:  Gennadi V Glinsky; Anna B Glinskii; Andrew J Stephenson; Robert M Hoffman; William L Gerald
Journal:  J Clin Invest       Date:  2004-03       Impact factor: 14.808

9.  LNCaP model of human prostatic carcinoma.

Authors:  J S Horoszewicz; S S Leong; E Kawinski; J P Karr; H Rosenthal; T M Chu; E A Mirand; G P Murphy
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Review 10.  Inactivation of androgens by UDP-glucuronosyltransferase enzymes in humans.

Authors:  Alain Bélanger; Georges Pelletier; Fernand Labrie; Olivier Barbier; Sarah Chouinard
Journal:  Trends Endocrinol Metab       Date:  2003-12       Impact factor: 12.015

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  25 in total

Review 1.  Metabolomic profiling of hormone-dependent cancers: a bird's eye view.

Authors:  Stacy M Lloyd; James Arnold; Arun Sreekumar
Journal:  Trends Endocrinol Metab       Date:  2015-08-01       Impact factor: 12.015

Review 2.  Applications of metabolomics to study cancer metabolism.

Authors:  Akash K Kaushik; Ralph J DeBerardinis
Journal:  Biochim Biophys Acta Rev Cancer       Date:  2018-04-25       Impact factor: 10.680

3.  Metabolic Profiling in Formalin-Fixed and Paraffin-Embedded Prostate Cancer Tissues.

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4.  Non-thermal plasma activates human keratinocytes by stimulation of antioxidant and phase II pathways.

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Review 5.  Metabolic changes during prostate cancer development and progression.

Authors:  Alicia-Marie K Beier; Martin Puhr; Matthias B Stope; Christian Thomas; Holger H H Erb
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6.  High-Throughput Metabolic Profiling of Soybean Leaves by Fourier Transform Ion Cyclotron Resonance Mass Spectrometry.

Authors:  Ali Yilmaz; Heather L Rudolph; Jerod J Hurst; Troy D Wood
Journal:  Anal Chem       Date:  2015-12-23       Impact factor: 6.986

Review 7.  Drug discovery in advanced prostate cancer: translating biology into therapy.

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8.  Regulation of the pentose phosphate pathway by an androgen receptor-mTOR-mediated mechanism and its role in prostate cancer cell growth.

Authors:  E Tsouko; A S Khan; M A White; J J Han; Y Shi; F A Merchant; M A Sharpe; L Xin; D E Frigo
Journal:  Oncogenesis       Date:  2014-05-26       Impact factor: 7.485

Review 9.  Strategies for modern biomarker and drug development in oncology.

Authors:  Alan D Smith; Desam Roda; Timothy A Yap
Journal:  J Hematol Oncol       Date:  2014-10-03       Impact factor: 17.388

10.  EMT-induced metabolite signature identifies poor clinical outcome.

Authors:  Salil Kumar Bhowmik; Esmeralda Ramirez-Peña; James Michael Arnold; Vasanta Putluri; Nathalie Sphyris; George Michailidis; Nagireddy Putluri; Stefan Ambs; Arun Sreekumar; Sendurai A Mani
Journal:  Oncotarget       Date:  2015-12-15
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