Identification and validation of leucine-rich α-2-glycoprotein 1 as a noninvasive biomarker for improved precision in prostate cancer risk stratification
Autor: | Rune Kvåle, Anne George, Håkon Ramberg, Vincent J. Gnanapragasam, Fredrik Wiklund, David E. Neal, Ian G. Mills, Wolfgang Lilleby, Ingrid Jenny Guldvik, Helene Hartvedt Grytli, Verena Zuber, Kristin Austlid Taskén, Fahri Saatcioglu, Manuela Zucknick, Bernd Thiede, Peder Rustøen Braadland, Randi Elin Gislefoss, Henrik Grönberg |
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Přispěvatelé: | Gnanapragasam, Vincent [0000-0003-4722-4207], Apollo - University of Cambridge Repository |
Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
EXPRESSION
Oncology medicine.medical_specialty MIGRATION Urology ANTIGEN DIAGNOSIS lcsh:RC870-923 Noninvasive lcsh:RC254-282 COLORECTAL-CANCER Metastasis Leucine-rich alpha-2-glycoprotein 1 Prostate cancer SDG 3 - Good Health and Well-being Prostate Internal medicine medicine Prospective cohort study Noninvasive biomarkers Prostate cancer risk Science & Technology ALPHA-2 GLYCOPROTEIN business.industry Prostate Cancer DISEASE-ACTIVITY BIOMARKER Biomarker Urology & Nephrology lcsh:Diseases of the genitourinary system. Urology lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens medicine.disease LRG1 PROMOTES ANGIOGENESIS medicine.anatomical_structure LRG1 PROGNOSTIC-FACTOR SERUM BIOMARKER Risk assessment business Life Sciences & Biomedicine Leucine-rich α-2-glycoprotein 1 |
Zdroj: | European Urology Open Science Guldvik, I J, Zuber, V, Braadland, P R, Grytli, H H, Ramberg, H, Lilleby, W, Thiede, B, Zucknick, M, Saatcioglu, F, Gislefoss, R, Kvåle, R, George, A, Grönberg, H, Wiklund, F, Neal, D E, Gnanapragasam, V J, Taskén, K A & Mills, I G 2020, ' Identification and Validation of Leucine-rich α-2-glycoprotein 1 as a Noninvasive Biomarker for Improved Precision in Prostate Cancer Risk Stratification ', European Urology Open Science, vol. 21, pp. 51-60 . https://doi.org/10.1016/j.euros.2020.08.007 European Urology Open Science, Vol 21, Iss, Pp 51-60 (2020) |
ISSN: | 2666-1683 |
Popis: | Background More accurate risk assessments are needed to improve prostate cancer management. Objective To identify blood-based protein biomarkers that provided prognostic information for risk stratification. Design, setting, and participants Mass spectrometry was used to identify biomarker candidates from blood, and validation studies were performed in four independent cohorts retrospectively collected between 1988 and 2015. Outcome measurements and statistical analysis The primary outcome objectives were progression-free survival, prostate cancer–specific survival (PCSS), and overall survival. Statistical analyses to assess survival and model performance were performed. Results and limitation Serum leucine-rich α-2-glycoprotein 1 (LRG1) was found to be elevated in fatal prostate cancer. LRG1 provided prognostic information independent of metastasis and increased the accuracy in predicting PCSS, particularly in the first 3 yr. A high LRG1 level is associated with an average of two-fold higher risk of disease-progression and mortality in both high-risk and metastatic patients. However, our study design, with a retrospective analysis of samples spanning several decades back, limits the assessment of the clinical utility of LRG1 in today’s clinical practice. Thus, independent prospective studies are needed to establish LRG1 as a clinically useful biomarker for patient management. Conclusions High blood levels of LRG1 are unfavourable in newly diagnosed high-risk and metastatic prostate cancer, and LRG1 increased the accuracy of risk stratification of prostate cancer patients. Patient summary High blood levels of leucine-rich α-2-glycoprotein 1 are unfavourable in newly diagnosed high-risk and metastatic prostate cancer. Take Home Message High blood levels of leucine-rich α-2-glycoprotein 1 (LRG1) is unfavourable in patients with newly diagnosed high-risk or metastatic prostate cancer. Implementation of a blood test for LRG1 alongside standard risk stratification schemes could provide higher precision in treatment decisions. |
Databáze: | OpenAIRE |
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