TY - JOUR
T1 - Whole blood GRHL2 expression as a prognostic biomarker in metastatic hormone-sensitive and castration-resistant prostate cancer
AU - Kwan, Edmond M.
AU - Fettke, Heidi
AU - Crumbaker, Megan
AU - Docanto, Maria M.
AU - To, Sarah Q.
AU - Bukczynska, Patricia
AU - Mant, Andrew
AU - Ng, Nicole
AU - Foroughi, Siavash
AU - Graham, Lisa Jane K.
AU - Haynes, Anne Maree
AU - Azer, Sarah
AU - Lim, Lisi Elizabeth
AU - Segelov, Eva
AU - Mahon, Kate
AU - Davis, Ian D.
AU - Parente, Phillip
AU - Pezaro, Carmel
AU - Todenhöfer, Tilman
AU - Sathianathen, Niranjan
AU - Hauser, Christine
AU - Horvath, Lisa G.
AU - Joshua, Anthony M.
AU - Azad, Arun A.
N1 - Funding Information:
We thank the patients and families for their participation in this study. We also thank Ms. Sophie Beck for providing statistical support during the manuscript revision process. Funding: The following authors formally acknowledge their respective sources of funding support: Edmond M. Kwan: NHMRC Postgraduate Scholarship, Monash University Postgraduate Publications Award; Heidi Fettke: Australian Government Research Training Program (RTP) Scholarship, Monash University Postgraduate Publications Award; Megan Crumbaker: Australian Government RTP Scholarship; Sarah Q. To: NHMRC CJ Martin Early Career Fellowship (APP1070112); Kate Mahon: Movember/Prostate Cancer Foundation of Australia Clinical Scientist Fellow; Ian D. Davis: NHMRC Practitioner Fellowship (APP1102604); Carmel Pezaro: Cancer Council Victoria Early Career Seed Grant; Lisa G. Horvath: Astellas Investigator-Initiated Grant, Cancer Institute NSW Translational Program Grant; Arun A. Azad: NHMRC Project Grant (GNT1098647), Victorian Cancer Agency Clinical Research Fellowship (CRF14009), Astellas Investigator-Initiated Grant.
Funding Information:
ICMJE uniform disclosure form (available at http:// dx.doi.org/10.21037/tau-20-1444). EMK reports receiving honoraria from Janssen and Ipsen; travel & accommodation from Astellas Pharma, Pfizer and Ipsen; and institutional research funding from Astellas Pharma, AstraZeneca, Bristol Myers Squibb, Pfizer, and Merck Serono. AAA reports receiving compensation as a Consultant from Astellas Pharma, Janssen, and Novartis; speakers bureau for Astellas, Janssen, Novartis, Amgen, Ipsen, Bristol Myers Squibb, Merck Serono and Bayer; honoraria from Astellas, Novartis, Sanofi, AstraZeneca, Tolmar, Telix; Merck Serono; Janssen, Bristol Myers Squibb, Ipsen, Bayer, Pfizer, Amgen, Noxopharm, and Merck Sharpe Dome; research funding from Astellas (investigator), Merck Serono (investigator), Astra Zeneca (investigator), Bristol Myers Squibb (institutional), Astra Zeneca (institutional), Aptevo Therapeutics (institutional), Glaxo Smith Kline (institutional), Pfizer (institutional), MedImmune (institutional), Astellas (institutional), SYNthorx (institutional), Bionomics (institutional), Sanofi Aventis (institutional), Novartis (institutional), and Ipsen (institutional); travel and accommodation from Astellas, Merck Serono, Amgen, Novartis, Janssen, Tolmar, Pfizer;and is on the Scientific Advisory Board for Astellas, Novartis, Sanofi, AstraZeneca, Tolmar, Pfizer, Telix; Merck Serono; Janssen, Bristol Myers Squibb, Ipsen, Bayer, Merck Sharpe Dome, Amgen and Noxopharm. The other authors have no conflicts of interest to declare.
Publisher Copyright:
© Translational Andrology and Urology. All rights reserved.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/4
Y1 - 2021/4
N2 - Background: As potent systemic therapies transition earlier in the prostate cancer disease course, molecular biomarkers are needed to guide optimal treatment selection for metastatic hormone-sensitive prostate cancer (mHSPC). The value of whole blood RNA to detect candidate biomarkers in mHSPC remains largely undefined. Methods: In this cohort study, we used a previously optimised whole blood reverse transcription polymerase chain reaction assay to assess the prognostic utility [measured by seven-month undetectable prostate-specific antigen (PSA) and time to castration-resistance (TTCR)] of eight prostate cancer-associated gene transcripts in 43 mHSPC patients. Transcripts with statistically significant associations (P<0.05) were further investigated in a metastatic castration-resistant prostate cancer (mCRPC) cohort (n=119) receiving contemporary systemic therapy, exploring associations with PSA >50% response (PSA50), progression-free survival (PFS) and overall survival (OS). Clinical outcomes were prospectively collected in a protected digital database. Kaplan-Meier estimates and multivariable Cox proportional-hazards models assessed associations between gene transcripts and clinical outcomes (mHSPC covariates: disease volume, docetaxel use and haemoglobin level; mCRPC covariates: prior exposure to chemotherapy or ARPIs, haemoglobin, performance status and presence of visceral disease). Follow-up was performed monthly during ARPI treatment, three-weekly during taxane chemotherapy, and three-monthly during androgen deprivation therapy (ADT) monotherapy. Serial PSA measurements were performed before each follow-up visit and repeat imaging was at the discretion of the investigator. Results: Detection of circulating Grainyhead-like 2 (GRHL2) transcript was associated with poor outcomes in mHSPC and mCRPC patients. Detectable GRHL2 expression in mHSPC was associated with a lower rate of seven-month undetectable PSA levels (25% vs. 65%, P=0.059), and independently associated with shorter TTCR (HR 7.3, 95% CI: 1.5-36, P=0.01). In the mCRPC cohort, GRHL2 expression predicted significantly lower PSA50 response rates (46% vs. 69%, P=0.01), and was independently associated with shorter PFS (HR 3.1, 95% CI: 1.8-5.2, P<0.001) and OS (HR 2.9, 95% CI: 1.6-5.1, P<0.001). Associations were most apparent in patients receiving ARPIs. Conclusions: Detectable circulating GRHL2 was a negative prognostic biomarker in our mHSPC and mCRPC cohorts. These data support further investigation of GRHL2 as a candidate prognostic biomarker in metastatic prostate cancer, in addition to expanding efforts to better understand a putative role in therapeutic resistance to AR targeted therapies.
AB - Background: As potent systemic therapies transition earlier in the prostate cancer disease course, molecular biomarkers are needed to guide optimal treatment selection for metastatic hormone-sensitive prostate cancer (mHSPC). The value of whole blood RNA to detect candidate biomarkers in mHSPC remains largely undefined. Methods: In this cohort study, we used a previously optimised whole blood reverse transcription polymerase chain reaction assay to assess the prognostic utility [measured by seven-month undetectable prostate-specific antigen (PSA) and time to castration-resistance (TTCR)] of eight prostate cancer-associated gene transcripts in 43 mHSPC patients. Transcripts with statistically significant associations (P<0.05) were further investigated in a metastatic castration-resistant prostate cancer (mCRPC) cohort (n=119) receiving contemporary systemic therapy, exploring associations with PSA >50% response (PSA50), progression-free survival (PFS) and overall survival (OS). Clinical outcomes were prospectively collected in a protected digital database. Kaplan-Meier estimates and multivariable Cox proportional-hazards models assessed associations between gene transcripts and clinical outcomes (mHSPC covariates: disease volume, docetaxel use and haemoglobin level; mCRPC covariates: prior exposure to chemotherapy or ARPIs, haemoglobin, performance status and presence of visceral disease). Follow-up was performed monthly during ARPI treatment, three-weekly during taxane chemotherapy, and three-monthly during androgen deprivation therapy (ADT) monotherapy. Serial PSA measurements were performed before each follow-up visit and repeat imaging was at the discretion of the investigator. Results: Detection of circulating Grainyhead-like 2 (GRHL2) transcript was associated with poor outcomes in mHSPC and mCRPC patients. Detectable GRHL2 expression in mHSPC was associated with a lower rate of seven-month undetectable PSA levels (25% vs. 65%, P=0.059), and independently associated with shorter TTCR (HR 7.3, 95% CI: 1.5-36, P=0.01). In the mCRPC cohort, GRHL2 expression predicted significantly lower PSA50 response rates (46% vs. 69%, P=0.01), and was independently associated with shorter PFS (HR 3.1, 95% CI: 1.8-5.2, P<0.001) and OS (HR 2.9, 95% CI: 1.6-5.1, P<0.001). Associations were most apparent in patients receiving ARPIs. Conclusions: Detectable circulating GRHL2 was a negative prognostic biomarker in our mHSPC and mCRPC cohorts. These data support further investigation of GRHL2 as a candidate prognostic biomarker in metastatic prostate cancer, in addition to expanding efforts to better understand a putative role in therapeutic resistance to AR targeted therapies.
KW - Biomarker
KW - Castration-resistant
KW - Grainyhead-like 2 (GRHL2)
KW - Hormone-sensitive
KW - Prostate cancer
UR - http://www.scopus.com/inward/record.url?scp=85105318620&partnerID=8YFLogxK
U2 - 10.21037/tau-20-1444
DO - 10.21037/tau-20-1444
M3 - Article
C2 - 33968657
AN - SCOPUS:85105318620
SN - 2223-4683
VL - 10
SP - 1688
EP - 1699
JO - Translational Andrology and Urology
JF - Translational Andrology and Urology
IS - 4
ER -