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

Author(s):  
Denise Wolrab ◽  
Robert Jirásko ◽  
Ondřej Peterka ◽  
Jakub Idkowiak ◽  
Michaela Chocholoušková ◽  
...  

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.

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Denise Wolrab ◽  
Robert Jirásko ◽  
Ondřej Peterka ◽  
Jakub Idkowiak ◽  
Michaela Chocholoušková ◽  
...  

AbstractEarly detection of cancer is one of the unmet needs in clinical medicine. Peripheral blood analysis is a preferred method for efficient population screening, because blood collection is well embedded in clinical practice and minimally invasive for patients. Lipids are important biomolecules, and variations in lipid concentrations can reflect pathological disorders. Lipidomic profiling of human plasma by the coupling of ultrahigh-performance supercritical fluid chromatography and mass spectrometry is investigated with the aim to distinguish patients with breast, kidney, and prostate cancers from healthy controls. The mean sensitivity, specificity, and accuracy of the lipid 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 the differentiation of cancer types studied are CE 16:0, Cer 42:1, LPC 18:2, PC 36:2, PC 36:3, SM 32:1, and SM 41:1 These seven lipids represent a potential biomarker panel for kidney, breast, and prostate cancer screening, but a further verification step in a prospective study has to be performed to verify clinical utility.


2006 ◽  
Vol 118 (2) ◽  
pp. 518-520 ◽  
Author(s):  
Kirsi Syrjäkoski ◽  
Henna Fredriksson ◽  
Tarja Ikonen ◽  
Tuula Kuukasjärvi ◽  
Ville Autio ◽  
...  

ISRN Oncology ◽  
2012 ◽  
Vol 2012 ◽  
pp. 1-10 ◽  
Author(s):  
Michiko Takakura ◽  
Akira Yokomizo ◽  
Yoshinori Tanaka ◽  
Michimoto Kobayashi ◽  
Giman Jung ◽  
...  

Serum prostate-specific antigen (PSA) levels ranging from 4 to 10 ng/mL is considered a diagnostic gray zone for detecting prostate cancer because biopsies reveal no evidence of cancer in 75% of these subjects. Our goal was to discover a new highly specific biomarker for prostate cancer by analyzing plasma proteins using a proteomic technique. Enriched plasma proteins from 25 prostate cancer patients and 15 healthy controls were analyzed using a label-free quantitative shotgun proteomics platform called 2DICAL (2-dimensional image converted analysis of liquid chromatography and mass spectrometry) and candidate biomarkers were searched. Among the 40,678 identified mass spectrum (MS) peaks, 117 peaks significantly differed between prostate cancer patients and healthy controls. Ten peaks matched carbonic anhydrase I (CAI) by tandem MS. Independent immunological assays revealed that plasma CAI levels in 54 prostate cancer patients were significantly higher than those in 60 healthy controls (, Mann-Whitney test). In the PSA gray-zone group, the discrimination rate of prostate cancer patients increased by considering plasma CAI levels. CAI can potentially serve as a valuable plasma biomarker and the combination of PSA and CAI may have great advantages for diagnosing prostate cancer in patients with gray-zone PSA level.


2006 ◽  
Vol 45 (2) ◽  
pp. 216-217 ◽  
Author(s):  
C. Ortega ◽  
R. Faggiuolo ◽  
R. Vormola ◽  
F. Montemurro ◽  
D. Nanni ◽  
...  

2013 ◽  
Vol 14 (5) ◽  
pp. 3357-3362 ◽  
Author(s):  
Sharifa Wan Puteh Ezat ◽  
Syed Mohamed Aljunid Syed Junid ◽  
Noraziani Khamis ◽  
Zafar Ahmed ◽  
Saperi Sulong ◽  
...  

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