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Prostate Cancer Associated Lipid Signatures in Serum Studied by ESI-Tandem Mass Spectrometryas Potential New Biomarkers

Prostate cancer (PCa) is one amongst the most common cancersin western men. Incidence rate ofPCa is on the rise worldwide. The present study deals with theserum lipidome profiling of patients diagnosed with PCa to identify potential new biomarkers. We employed ESI-MS/MS and GC-MS for identification...

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Autores principales: Duscharla, Divya, Bhumireddy, Sudarshana Reddy, Lakshetti, Sridhar, Pospisil, Heike, Murthy, P. V. L. N., Walther, Reinhard, Sripadi, Prabhakar, Ummanni, Ramesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4784901/
https://www.ncbi.nlm.nih.gov/pubmed/26958841
http://dx.doi.org/10.1371/journal.pone.0150253
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author Duscharla, Divya
Bhumireddy, Sudarshana Reddy
Lakshetti, Sridhar
Pospisil, Heike
Murthy, P. V. L. N.
Walther, Reinhard
Sripadi, Prabhakar
Ummanni, Ramesh
author_facet Duscharla, Divya
Bhumireddy, Sudarshana Reddy
Lakshetti, Sridhar
Pospisil, Heike
Murthy, P. V. L. N.
Walther, Reinhard
Sripadi, Prabhakar
Ummanni, Ramesh
author_sort Duscharla, Divya
collection PubMed
description Prostate cancer (PCa) is one amongst the most common cancersin western men. Incidence rate ofPCa is on the rise worldwide. The present study deals with theserum lipidome profiling of patients diagnosed with PCa to identify potential new biomarkers. We employed ESI-MS/MS and GC-MS for identification of significantly altered lipids in cancer patient’s serum compared to controls. Lipidomic data revealed 24 lipids are significantly altered in cancer patinet’s serum (n = 18) compared to normal (n = 18) with no history of PCa. By using hierarchical clustering and principal component analysis (PCA) we could clearly separate cancer patients from control group. Correlation and partition analysis along with Formal Concept Analysis (FCA) have identified that PC (39:6) and FA (22:3) could classify samples with higher certainty. Both the lipids, PC (39:6) and FA (22:3) could influence the cataloging of patients with 100% sensitivity (all 18 control samples are classified correctly) and 77.7% specificity (of 18 tumor samples 4 samples are misclassified) with p-value of 1.612×10(−6) in Fischer’s exact test. Further, we performed GC-MS to denote fatty acids altered in PCa patients and found that alpha-linolenic acid (ALA) levels are altered in PCa. We also performed an in vitro proliferation assay to determine the effect of ALA in survival of classical human PCa cell lines LNCaP and PC3. We hereby report that the altered lipids PC (39:6) and FA (22:3) offer a new set of biomarkers in addition to the existing diagnostic tests that could significantly improve sensitivity and specificity in PCa diagnosis.
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spelling pubmed-47849012016-03-23 Prostate Cancer Associated Lipid Signatures in Serum Studied by ESI-Tandem Mass Spectrometryas Potential New Biomarkers Duscharla, Divya Bhumireddy, Sudarshana Reddy Lakshetti, Sridhar Pospisil, Heike Murthy, P. V. L. N. Walther, Reinhard Sripadi, Prabhakar Ummanni, Ramesh PLoS One Research Article Prostate cancer (PCa) is one amongst the most common cancersin western men. Incidence rate ofPCa is on the rise worldwide. The present study deals with theserum lipidome profiling of patients diagnosed with PCa to identify potential new biomarkers. We employed ESI-MS/MS and GC-MS for identification of significantly altered lipids in cancer patient’s serum compared to controls. Lipidomic data revealed 24 lipids are significantly altered in cancer patinet’s serum (n = 18) compared to normal (n = 18) with no history of PCa. By using hierarchical clustering and principal component analysis (PCA) we could clearly separate cancer patients from control group. Correlation and partition analysis along with Formal Concept Analysis (FCA) have identified that PC (39:6) and FA (22:3) could classify samples with higher certainty. Both the lipids, PC (39:6) and FA (22:3) could influence the cataloging of patients with 100% sensitivity (all 18 control samples are classified correctly) and 77.7% specificity (of 18 tumor samples 4 samples are misclassified) with p-value of 1.612×10(−6) in Fischer’s exact test. Further, we performed GC-MS to denote fatty acids altered in PCa patients and found that alpha-linolenic acid (ALA) levels are altered in PCa. We also performed an in vitro proliferation assay to determine the effect of ALA in survival of classical human PCa cell lines LNCaP and PC3. We hereby report that the altered lipids PC (39:6) and FA (22:3) offer a new set of biomarkers in addition to the existing diagnostic tests that could significantly improve sensitivity and specificity in PCa diagnosis. Public Library of Science 2016-03-09 /pmc/articles/PMC4784901/ /pubmed/26958841 http://dx.doi.org/10.1371/journal.pone.0150253 Text en © 2016 Duscharla et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Duscharla, Divya
Bhumireddy, Sudarshana Reddy
Lakshetti, Sridhar
Pospisil, Heike
Murthy, P. V. L. N.
Walther, Reinhard
Sripadi, Prabhakar
Ummanni, Ramesh
Prostate Cancer Associated Lipid Signatures in Serum Studied by ESI-Tandem Mass Spectrometryas Potential New Biomarkers
title Prostate Cancer Associated Lipid Signatures in Serum Studied by ESI-Tandem Mass Spectrometryas Potential New Biomarkers
title_full Prostate Cancer Associated Lipid Signatures in Serum Studied by ESI-Tandem Mass Spectrometryas Potential New Biomarkers
title_fullStr Prostate Cancer Associated Lipid Signatures in Serum Studied by ESI-Tandem Mass Spectrometryas Potential New Biomarkers
title_full_unstemmed Prostate Cancer Associated Lipid Signatures in Serum Studied by ESI-Tandem Mass Spectrometryas Potential New Biomarkers
title_short Prostate Cancer Associated Lipid Signatures in Serum Studied by ESI-Tandem Mass Spectrometryas Potential New Biomarkers
title_sort prostate cancer associated lipid signatures in serum studied by esi-tandem mass spectrometryas potential new biomarkers
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4784901/
https://www.ncbi.nlm.nih.gov/pubmed/26958841
http://dx.doi.org/10.1371/journal.pone.0150253
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