Literature DB >> 28741687

A distinct plasma lipid signature associated with poor prognosis in castration-resistant prostate cancer.

Hui-Ming Lin1,2, Kate L Mahon1,2,3,4, Jacquelyn M Weir5, Piyushkumar A Mundra5, Calan Spielman1, Karen Briscoe6, Howard Gurney7, Girish Mallesara8, Gavin Marx9, Martin R Stockler3,4,10,11, Robert G Parton12, Andrew J Hoy13, Roger J Daly14, Peter J Meikle5, Lisa G Horvath1,2,3,4,11.   

Abstract

Lipids are known to influence tumour growth, inflammation and chemoresistance. However, the association of circulating lipids with the clinical outcome of metastatic castration-resistant prostate cancer (CRPC) is unknown. We investigated associations between the plasma lipidome and clinical outcome in CRPC. Lipidomic profiling by liquid chromatography-tandem mass spectrometry was performed on plasma samples from a Phase 1 discovery cohort of 96 CRPC patients. Results were validated in an independent Phase 2 cohort of 63 CRPC patients. Unsupervised analysis of lipidomic profiles (323 lipid species) classified the Phase 1 cohort into two patient subgroups with significant survival differences (HR 2.31, 95% CI 1.44-3.68, p = 0.0005). The levels of 46 lipids were individually prognostic and were predominantly sphingolipids with higher levels associated with poor prognosis. A prognostic three-lipid signature was derived (ceramide d18:1/24:1, sphingomyelin d18:2/16:0, phosphatidylcholine 16:0/16:0) and was also associated with shorter survival in the Phase 2 cohort (HR 4.8, 95% CI 2.06-11.1, p = 0.0003). The signature was an independent prognostic factor when modelled with clinicopathological factors or metabolic characteristics. The association of plasma lipids with CRPC prognosis suggests a possible role of these lipids in disease progression. Further research is required to determine if therapeutic modulation of the levels of these lipids by targeting their metabolic pathways may improve patient outcome.
© 2017 UICC.

Entities:  

Keywords:  biomarker; castration-resistant; lipids; prognosis; prostate cancer

Mesh:

Substances:

Year:  2017        PMID: 28741687     DOI: 10.1002/ijc.30903

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


  24 in total

Review 1.  Lipids and cancer: Emerging roles in pathogenesis, diagnosis and therapeutic intervention.

Authors:  Lisa M Butler; Ylenia Perone; Jonas Dehairs; Leslie E Lupien; Vincent de Laat; Ali Talebi; Massimo Loda; William B Kinlaw; Johannes V Swinnen
Journal:  Adv Drug Deliv Rev       Date:  2020-07-23       Impact factor: 15.470

Review 2.  Tumour fatty acid metabolism in the context of therapy resistance and obesity.

Authors:  Andrew J Hoy; Shilpa R Nagarajan; Lisa M Butler
Journal:  Nat Rev Cancer       Date:  2021-08-20       Impact factor: 60.716

3.  Aberrations in circulating ceramide levels are associated with poor clinical outcomes across localised and metastatic prostate cancer.

Authors:  Lisa M Butler; Peter J Meikle; Lisa G Horvath; Hui-Ming Lin; Kevin Huynh; Manish Kohli; Winston Tan; Arun A Azad; Nicole Yeung; Kate L Mahon; Blossom Mak; Peter D Sutherland; Andrew Shepherd; Natalie Mellett; Maria Docanto; Corey Giles; Margaret M Centenera
Journal:  Prostate Cancer Prostatic Dis       Date:  2021-03-21       Impact factor: 5.554

4.  Lipid profiles of prostate cancer cells.

Authors:  Alexandra Sorvina; Christie A Bader; Chiara Caporale; Elizabeth A Carter; Ian R D Johnson; Emma J Parkinson-Lawrence; Peter V Simpson; Phillip J Wright; Stefano Stagni; Peter A Lay; Massimiliano Massi; Douglas A Brooks; Sally E Plush
Journal:  Oncotarget       Date:  2018-10-30

5.  Lipidomic profiling of extracellular vesicles derived from prostate and prostate cancer cell lines.

Authors:  Joshua S Brzozowski; Helen Jankowski; Danielle R Bond; Siobhan B McCague; Benjamin R Munro; Melanie J Predebon; Christopher J Scarlett; Kathryn A Skelding; Judith Weidenhofer
Journal:  Lipids Health Dis       Date:  2018-09-08       Impact factor: 3.876

Review 6.  Metabolomics Contributions to the Discovery of Prostate Cancer Biomarkers.

Authors:  Nuria Gómez-Cebrián; Ayelén Rojas-Benedicto; Arturo Albors-Vaquer; José Antonio López-Guerrero; Antonio Pineda-Lucena; Leonor Puchades-Carrasco
Journal:  Metabolites       Date:  2019-03-08

7.  An inverted CAV1 (caveolin 1) topology defines novel autophagy-dependent exosome secretion from prostate cancer cells.

Authors:  Nicholas Ariotti; Yeping Wu; Satomi Okano; Yann Gambin; Jordan Follett; James Rae; Charles Ferguson; Rohan D Teasdale; Kirill Alexandrov; Frederic A Meunier; Michelle M Hill; Robert G Parton
Journal:  Autophagy       Date:  2020-09-20       Impact factor: 16.016

8.  Endogenous Sphingolipid Signaling Pathway Implicated in the Action of Croton membranaceus on the Prostate Gland in BPH Patients.

Authors:  George Awuku Asare; Yvonne Anang; Daniel K Afriyie; Brodrick Yeboah Amoah; Bernice Asiedu; Derek Doku; Hannah Serwah Ocansey; Nana Yaw Odei Danso; Prince Tekpor; Sarah Osam
Journal:  Medicines (Basel)       Date:  2017-11-18

9.  Association of High miR-182 Levels with Low-Risk Prostate Cancer.

Authors:  Bethany Baumann; Andrés M Acosta; Zachary Richards; Ryan Deaton; Anastasiya Sapatynska; Adam Murphy; Andre Kajdacsy-Balla; Peter H Gann; Larisa Nonn
Journal:  Am J Pathol       Date:  2019-01-29       Impact factor: 4.307

10.  Identification of Plasma Glycosphingolipids as Potential Biomarkers for Prostate Cancer (PCa) Status.

Authors:  Ashley J Snider; Michael C Seeds; Laurel Johnstone; Justin M Snider; Brian Hallmark; Rahul Dutta; Cristina Moraga Franco; John S Parks; Jeannette T Bensen; Corey D Broeckling; James L Mohler; Gary J Smith; Elizabeth T H Fontham; Hui-Kuan Lin; William Bresette; Susan Sergeant; Floyd H Chilton
Journal:  Biomolecules       Date:  2020-09-30
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