ArticlePloS one2015
Comparative Metabolomic and Lipidomic Analysis of Phenotype Stratified Prostate Cells.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
16 citing papers in PubMed, 30 citations in OpenAlex.
- Article
- Role of Lipids and Lipid Metabolism in Prostate Cancer Progression and the Tumor's Immune Environment.Cancers · 2022Review
- Site-Specific Intact N-Linked Glycopeptide Characterization of Prostate-Specific Membrane Antigen from Metastatic Prostate Cancer Cells.ACS omega · 2022Article
- From Omics to Multi-Omics Approaches for In-Depth Analysis of the Molecular Mechanisms of Prostate Cancer.International journal of molecular sciences · 2022Review
- Shotgun Lipidomics for Differential Diagnosis of HPV-Associated Cervix Transformation.Metabolites · 2022Article
- Article
- Choline Kinase: An Unexpected Journey for a Precision Medicine Strategy in Human Diseases.Pharmaceutics · 2021Review
- Identification of lipidomic profiles associated with drug-resistant prostate cancer cells.Lipids in health and disease · 2021Article
- Comprehensive metabolomics analysis of prostate cancer tissue in relation to tumor aggressiveness and TMPRSS2-ERG fusion status.BMC cancer · 2020Article
- Lipids and cancer: Emerging roles in pathogenesis, diagnosis and therapeutic intervention.Advanced drug delivery reviews · 2020Review
- Prostate cancer diagnosis and characterization with mass spectrometry imaging.Prostate cancer and prostatic diseases · 2018Review
- Lipidomics unveils the complexity of the lipidome in metabolic diseases.Clinical and translational medicine · 2018Review
- Seminal plasma enables selection and monitoring of active surveillance candidates using nuclear magnetic resonance-based metabolomics: A preliminary investigation.Prostate international · 2017Article
- Lipid quantification by Raman microspectroscopy as a potential biomarker in prostate cancer.Cancer letters · 2017Article
- Metabolic Perturbation and Potential Markers in Patients with Esophageal Cancer.Gastroenterology research and practice · 2017Article
- Hexadecenoic Fatty Acid Isomers in Human Blood Lipids and Their Relevance for the Interpretation of Lipidomic Profiles.PloS one · 2016Article
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Prostate cancer (PCa) is the most prevalent cancer amongst men and the second most common cause of cancer related-deaths in the USA. Prostate cancer is a heterogeneous disease ranging from indolent asymptomatic cases to very aggressive life threatening forms. The goal of this study was to identify differentially expressed metabolites and lipids in prostate cells with different tumorigenic phenotypes. We have used mass spectrometry metabolomic profiling, lipidomic profiling, bioinformatic and statistical methods to identify, quantify and characterize differentially regulated molecules in five prostate derived cell lines. We have identified potentially interesting species of different lipid subclasses including phosphatidylcholines (PCs), phosphatidylethanolamines (PEs), glycerophosphoinositols (PIs) and other metabolites that are significantly upregulated in prostate cancer cells derived from distant metastatic sites. Transcriptomic and biochemical analysis of key enzymes that are involved in lipid metabolism demonstrate the significant upregulation of choline kinase alpha in the metastatic cells compared to the non-malignant and non-metastatic cells. This suggests that different de novo lipogenesis and other specific signal transduction pathways are activated in aggressive metastatic cells as compared to normal and non-metastatic cells.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.