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Vinsamlegast notið þetta auðkenni þegar þið vitnið til verksins eða tengið í það: http://hdl.handle.net/1946/40669

Titill: 
  • Titill er á ensku Search for novel biomarkers in plasma to improve early breast cancer diagnosis
Námsstig: 
  • Meistara
Útdráttur: 
  • Útdráttur er á ensku

    Breast cancer is the most common cancer worldwide and one of the deadliest, falling second to only lung cancer. Early diagnosis and early treatment are two of the most important factors in improving survival rates of breast cancer. Currently used screening methods have a low rate of early diagnosis and can be operator dependent. A noninvasive screening method that is not operator dependent with a high rate of early diagnosis could help increase survival rates. For this to become a reality, a more selective and sensitive method such as protein quantification needs to be developed.
    The aim of this project was to quantify 131 different proteins in plasma samples of cancer patients and healthy controls using MRM-UPLC-MS/MS and to use a liquid handling robot for sample pretreatment. A PeptiQuantTM Plus proteomics kit for 131 proteins was used for quantification of the proteins in human plasma. The 131 proteins were measured in 25 breast cancer patients and 25 healthy controls. The accuracy and precision of a liquid handling robot for sample preparation was compared to the accuracy and precision of manual sample preparation. The results indicate slight improvement accuracy and precision using the liquid handling robot for sample pretreatment over manual sample preparation. Out of the 131 proteins measured, 42 of them were unquantifiable in the plasma samples analyzed as majority of the samples contained concentration below the lowest standard for those proteins. The concentration of the 89 proteins in 24 cases and 24 controls was analyzed using multivariate data analysis to see if there is any notable difference between cases and controls. The multivariate data analysis indicated that there was a slight difference between cases and controls.

Samþykkt: 
  • 25.4.2022
URI: 
  • http://hdl.handle.net/1946/40669


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