An analysis of a multiple biomarker panel to better predict prostate cancer metastasis after radical prostatectomy. Issue 5 (4th December 2018)
- Record Type:
- Journal Article
- Title:
- An analysis of a multiple biomarker panel to better predict prostate cancer metastasis after radical prostatectomy. Issue 5 (4th December 2018)
- Main Title:
- An analysis of a multiple biomarker panel to better predict prostate cancer metastasis after radical prostatectomy
- Authors:
- Zhang, Alison Y.
Chiam, Karen
Haupt, Ygal
Fox, Stephen
Birch, Simone
Tilley, Wayne
Butler, Lisa M.
Knudsen, Karen
Comstock, Clay
Rasiah, Krishan
Grogan, Judith
Mahon, Kate L.
Bianco‐Miotto, Tina
Ricciardelli, Carmela
Böhm, Maret
Henshall, Susan
Delprado, Warick
Stricker, Phillip
Horvath, Lisa G.
Kench, James G. - Abstract:
- 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 0.758Abstract : 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. Abstract : What's new? In prostate cancer survivors, rising PSA levels can presage a return of the tumor. Much research has gone into identifying biomarkers associated with biochemical relapse, but often these biomarkers aren't individually useful for predicting survival. In this study, the authors surveyed a variety of available biomarkers, to test how well they predicted metastatic relapse. While they found seven markers to be associated with biochemical relapse, only two functioned as key predictors of metastasis. The authors propose that biochemical relapse is not a good surrogate for metastasis. … (more)
- Is Part Of:
- International journal of cancer. Volume 144:Issue 5(2019)
- Journal:
- International journal of cancer
- Issue:
- Volume 144:Issue 5(2019)
- Issue Display:
- Volume 144, Issue 5 (2019)
- Year:
- 2019
- Volume:
- 144
- Issue:
- 5
- Issue Sort Value:
- 2019-0144-0005-0000
- Page Start:
- 1151
- Page End:
- 1159
- Publication Date:
- 2018-12-04
- Subjects:
- prostate cancer -- biomarkers -- AZGP1 -- Ki67 -- prognosis
Cancer -- Periodicals
Cancer -- Prevention -- Periodicals
616.994 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1097-0215 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/ijc.31906 ↗
- Languages:
- English
- ISSNs:
- 0020-7136
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.156000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 9369.xml