Molecular lipid species in urinary exosomes as potential prostate cancer biomarkers

2017 ◽  
Vol 70 ◽  
pp. 122-132 ◽  
Author(s):  
Tore Skotland ◽  
Kim Ekroos ◽  
Dimple Kauhanen ◽  
Helena Simolin ◽  
Therese Seierstad ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Cancer Biomarkers ◽  
Lipid Species ◽  
Urinary Exosomes

scholarly journals Identification of prostate cancer biomarkers in urinary exosomes

Oncotarget ◽  
2015 ◽  
Vol 6 (30) ◽  
pp. 30357-30376 ◽  
Author(s):  
Anders Øverbye ◽  
Tore Skotland ◽  
Christian J. Koehler ◽  
Bernd Thiede ◽  
Therese Seierstad ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Cancer Biomarkers ◽  
Urinary Exosomes

scholarly journals Identification of non-invasive miRNAs biomarkers for prostate cancer by deep sequencing analysis of urinary exosomes

2017 ◽  
Vol 16 (1) ◽  
Author(s):  
Marta Rodríguez ◽  
Cristina Bajo-Santos ◽  
Nina P. Hessvik ◽  
Susanne Lorenz ◽  
Bastian Fromm ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Deep Sequencing ◽  
Sequencing Analysis ◽  
Non Invasive ◽  
Urinary Exosomes ◽  
Deep Sequencing Analysis

scholarly journals A Model for the Design and Construction of a Resource for the Validation of Prognostic Prostate Cancer Biomarkers

2013 ◽  
Vol 20 (1) ◽  
pp. 39-44 ◽  
Author(s):  
Sarah Hawley ◽  
Ladan Fazli ◽  
Jesse K. McKenney ◽  
Jeff Simko ◽  
Dean Troyer ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Cancer Biomarkers ◽  
Design And Construction

scholarly journals Plasma Lipidomic Profiles of Kidney, Breast, and Prostate Cancer Patients Differ from Healthy Controls

2021 ◽  
Author(s):  
Denise Wolrab ◽  
Robert Jirásko ◽  
Ondřej Peterka ◽  
Jakub Idkowiak ◽  
Michaela Chocholoušková ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Cancer Patients ◽  
Clinical Medicine ◽  
Tumor Stage ◽  
Blood Analysis ◽  
Blood Collection ◽  
Healthy Controls ◽  
Lipid Species ◽  
Breast And Prostate Cancer ◽  
Sensitivity Specificity

Abstract Early cancer screening is one of the unmet needs in clinical medicine. The peripheral blood analysis is a preferred method for efficient population screening as blood collection is well embedded in clinical practice and minimally invasive for patients. Lipids are important biomolecules, and variations in lipid concentrations may reflect pathological disorders. The lipidomic profiling by ultrahigh-performance supercritical fluid chromatography hyphenated to mass spectrometry of human plasma for distinguishing samples obtained from breast, kidney, and prostate cancer patients and healthy controls is investigated. The mean sensitivity, specificity, and accuracy of the new lipidomic profiling approach were 85%, 95%, and 92% for kidney cancer; 91%, 97%, and 94% for breast cancer; and 87%, 95%, and 92% for prostate cancer. No association of statistical models with tumor stage is observed. The statistically most significant lipid species for differentiation of studied cancer types are CE 16:0, Cer 42:1, LPC 18:2, PC 36:2, PC 36:3, SM 32:1, and SM 41:1.

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