FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2894994562> ?p ?o ?g. }

• W2894994562 endingPage "1159" @default.
• W2894994562 startingPage "1151" @default.
• W2894994562 abstract "A plethora of individual candidate biomarkers for predicting biochemical relapse in localized prostate cancer (PCa) have been proposed. Combined biomarkers may improve prognostication, and ensuring validation against more clinically relevant endpoints are required. The Australian PCa Research Centre NSW has contributed to numerous studies of molecular biomarkers associated with biochemical relapse. In the current study, these biomarkers were re-analyzed for biochemical relapse, metastatic relapse and PCa death with extended follow-up. Biomarkers of significance were then used to develop a combined prognostic model for clinical outcomes and validated in a large independent cohort. The discovery cohort (n = 324) was based on 12 biomarkers with a median follow-up of 16 years. Seven biomarkers were significantly associated with biochemical relapse. Three biomarkers were associated with metastases: AZGP1, Ki67 and PML. Only AZGP1 was associated with PCa death. In their individual and combinational forms, AZGP1 and Ki67 as a dual BM signature was the most robust predictor of metastatic relapse (AUC 0.762). The AZPG1 and Ki67 signature was validated in an independent cohort of 347 PCa patients. The dual BM signature of AZGP1 and Ki67 predicted metastasis in the univariable (HR 7.2, 95% CI, 1.6-32; p = 0.01) and multivariable analysis (HR 5.4, 95% CI, 1.2-25; p = 0.03). The dual biomarker signature marginally improved risk prediction compared to AZGP1 alone (AUC 0.758 versus 0.738, p < 0.001). Our findings indicate that biochemical relapse is not an adequate surrogate for metastasis or PCa death. The dual biomarker signature of AZGP1 and Ki67 offers a small benefit in predicting metastasis over AZGP1 alone." @default.
• W2894994562 created "2018-10-12" @default.
• W2894994562 creator A5001363437 @default.
• W2894994562 creator A5002877928 @default.
• W2894994562 creator A5006944238 @default.
• W2894994562 creator A5008695978 @default.
• W2894994562 creator A5016371744 @default.
• W2894994562 creator A5018161899 @default.
• W2894994562 creator A5020285542 @default.
• W2894994562 creator A5035937627 @default.
• W2894994562 creator A5042201449 @default.
• W2894994562 creator A5042472942 @default.
• W2894994562 creator A5050075947 @default.
• W2894994562 creator A5050329814 @default.
• W2894994562 creator A5050809246 @default.
• W2894994562 creator A5061145902 @default.
• W2894994562 creator A5065279464 @default.
• W2894994562 creator A5079624958 @default.
• W2894994562 creator A5084855225 @default.
• W2894994562 creator A5086098080 @default.
• W2894994562 creator A5086908096 @default.
• W2894994562 creator A5090421656 @default.
• W2894994562 date "2018-12-04" @default.
• W2894994562 modified "2023-10-18" @default.
• W2894994562 title "An analysis of a multiple biomarker panel to better predict prostate cancer metastasis after radical prostatectomy" @default.
• W2894994562 cites W1508662657 @default.
• W2894994562 cites W1590223761 @default.
• W2894994562 cites W1894827484 @default.
• W2894994562 cites W1918568431 @default.
• W2894994562 cites W1934772501 @default.
• W2894994562 cites W1974208182 @default.
• W2894994562 cites W1975561305 @default.
• W2894994562 cites W1988336550 @default.
• W2894994562 cites W2002681681 @default.
• W2894994562 cites W2014578307 @default.
• W2894994562 cites W2016224865 @default.
• W2894994562 cites W2016374136 @default.
• W2894994562 cites W2032732457 @default.
• W2894994562 cites W2039849856 @default.
• W2894994562 cites W2040670368 @default.
• W2894994562 cites W2041120035 @default.
• W2894994562 cites W2042020498 @default.
• W2894994562 cites W2042848642 @default.
• W2894994562 cites W2042996682 @default.
• W2894994562 cites W2049427909 @default.
• W2894994562 cites W2056138285 @default.
• W2894994562 cites W2062357159 @default.
• W2894994562 cites W2066448322 @default.
• W2894994562 cites W2067975750 @default.
• W2894994562 cites W2070077932 @default.
• W2894994562 cites W2071879495 @default.
• W2894994562 cites W2076609162 @default.
• W2894994562 cites W2078159546 @default.
• W2894994562 cites W2101794839 @default.
• W2894994562 cites W2105548709 @default.
• W2894994562 cites W2106330601 @default.
• W2894994562 cites W2112801915 @default.
• W2894994562 cites W2117775530 @default.
• W2894994562 cites W2121312569 @default.
• W2894994562 cites W2126486896 @default.
• W2894994562 cites W2127847089 @default.
• W2894994562 cites W2131357804 @default.
• W2894994562 cites W2132600369 @default.
• W2894994562 cites W2142841375 @default.
• W2894994562 cites W2145847071 @default.
• W2894994562 cites W2150937921 @default.
• W2894994562 cites W2155521816 @default.
• W2894994562 cites W2156366443 @default.
• W2894994562 cites W2166250201 @default.
• W2894994562 cites W2168839045 @default.
• W2894994562 cites W2169961966 @default.
• W2894994562 cites W2171638840 @default.
• W2894994562 cites W2219978888 @default.
• W2894994562 cites W2346720680 @default.
• W2894994562 cites W2465641214 @default.
• W2894994562 cites W2467327469 @default.
• W2894994562 cites W2484046566 @default.
• W2894994562 cites W2561318234 @default.
• W2894994562 cites W2613186203 @default.
• W2894994562 cites W2743350540 @default.
• W2894994562 cites W2769579842 @default.
• W2894994562 cites W2790288166 @default.
• W2894994562 cites W2792086148 @default.
• W2894994562 cites W2793957208 @default.
• W2894994562 cites W3023689102 @default.
• W2894994562 cites W337360335 @default.
• W2894994562 doi "https://doi.org/10.1002/ijc.31906" @default.
• W2894994562 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6661891" @default.
• W2894994562 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30288742" @default.
• W2894994562 hasPublicationYear "2018" @default.
• W2894994562 type Work @default.
• W2894994562 sameAs 2894994562 @default.
• W2894994562 citedByCount "13" @default.
• W2894994562 countsByYear W28949945622019 @default.
• W2894994562 countsByYear W28949945622020 @default.
• W2894994562 countsByYear W28949945622021 @default.
• W2894994562 countsByYear W28949945622022 @default.
• W2894994562 countsByYear W28949945622023 @default.

• next