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Whole blood GRHL2 expression as a prognostic biomarker in metastatic hormone-sensitive and castration-resistant prostate cancer

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 remai...

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Autores principales: Kwan, Edmond M., Fettke, Heidi, Crumbaker, Megan, Docanto, Maria M., To, Sarah Q., Bukczynska, Patricia, Mant, Andrew, Ng, Nicole, Foroughi, Siavash, Graham, Lisa-Jane K., Haynes, Anne-Maree, Azer, Sarah, Lim, Lisi Elizabeth, Segelov, Eva, Mahon, Kate, Davis, Ian D., Parente, Phillip, Pezaro, Carmel, Todenhöfer, Tilman, Sathianathen, Niranjan, Hauser, Christine, Horvath, Lisa G., Joshua, Anthony M., Azad, Arun A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8100842/
https://www.ncbi.nlm.nih.gov/pubmed/33968657
http://dx.doi.org/10.21037/tau-20-1444
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author Kwan, Edmond M.
Fettke, Heidi
Crumbaker, Megan
Docanto, Maria M.
To, Sarah Q.
Bukczynska, Patricia
Mant, Andrew
Ng, Nicole
Foroughi, Siavash
Graham, Lisa-Jane K.
Haynes, Anne-Maree
Azer, Sarah
Lim, Lisi Elizabeth
Segelov, Eva
Mahon, Kate
Davis, Ian D.
Parente, Phillip
Pezaro, Carmel
Todenhöfer, Tilman
Sathianathen, Niranjan
Hauser, Christine
Horvath, Lisa G.
Joshua, Anthony M.
Azad, Arun A.
author_facet Kwan, Edmond M.
Fettke, Heidi
Crumbaker, Megan
Docanto, Maria M.
To, Sarah Q.
Bukczynska, Patricia
Mant, Andrew
Ng, Nicole
Foroughi, Siavash
Graham, Lisa-Jane K.
Haynes, Anne-Maree
Azer, Sarah
Lim, Lisi Elizabeth
Segelov, Eva
Mahon, Kate
Davis, Ian D.
Parente, Phillip
Pezaro, Carmel
Todenhöfer, Tilman
Sathianathen, Niranjan
Hauser, Christine
Horvath, Lisa G.
Joshua, Anthony M.
Azad, Arun A.
author_sort Kwan, Edmond M.
collection PubMed
description 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 (PSA(50)), 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 PSA(50) 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.
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spelling pubmed-81008422021-05-07 Whole blood GRHL2 expression as a prognostic biomarker in metastatic hormone-sensitive and castration-resistant prostate cancer Kwan, Edmond M. Fettke, Heidi Crumbaker, Megan Docanto, Maria M. To, Sarah Q. Bukczynska, Patricia Mant, Andrew Ng, Nicole Foroughi, Siavash Graham, Lisa-Jane K. Haynes, Anne-Maree Azer, Sarah Lim, Lisi Elizabeth Segelov, Eva Mahon, Kate Davis, Ian D. Parente, Phillip Pezaro, Carmel Todenhöfer, Tilman Sathianathen, Niranjan Hauser, Christine Horvath, Lisa G. Joshua, Anthony M. Azad, Arun A. Transl Androl Urol Original Article 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 (PSA(50)), 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 PSA(50) 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. AME Publishing Company 2021-04 /pmc/articles/PMC8100842/ /pubmed/33968657 http://dx.doi.org/10.21037/tau-20-1444 Text en 2021 Translational Andrology and Urology. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Kwan, Edmond M.
Fettke, Heidi
Crumbaker, Megan
Docanto, Maria M.
To, Sarah Q.
Bukczynska, Patricia
Mant, Andrew
Ng, Nicole
Foroughi, Siavash
Graham, Lisa-Jane K.
Haynes, Anne-Maree
Azer, Sarah
Lim, Lisi Elizabeth
Segelov, Eva
Mahon, Kate
Davis, Ian D.
Parente, Phillip
Pezaro, Carmel
Todenhöfer, Tilman
Sathianathen, Niranjan
Hauser, Christine
Horvath, Lisa G.
Joshua, Anthony M.
Azad, Arun A.
Whole blood GRHL2 expression as a prognostic biomarker in metastatic hormone-sensitive and castration-resistant prostate cancer
title Whole blood GRHL2 expression as a prognostic biomarker in metastatic hormone-sensitive and castration-resistant prostate cancer
title_full Whole blood GRHL2 expression as a prognostic biomarker in metastatic hormone-sensitive and castration-resistant prostate cancer
title_fullStr Whole blood GRHL2 expression as a prognostic biomarker in metastatic hormone-sensitive and castration-resistant prostate cancer
title_full_unstemmed Whole blood GRHL2 expression as a prognostic biomarker in metastatic hormone-sensitive and castration-resistant prostate cancer
title_short Whole blood GRHL2 expression as a prognostic biomarker in metastatic hormone-sensitive and castration-resistant prostate cancer
title_sort whole blood grhl2 expression as a prognostic biomarker in metastatic hormone-sensitive and castration-resistant prostate cancer
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8100842/
https://www.ncbi.nlm.nih.gov/pubmed/33968657
http://dx.doi.org/10.21037/tau-20-1444
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