Association of circulating immune and metabolic markers with clinical outcomes in the ENZAMET trial (ANZUP 1304).

5093 Background: ENZAMET showed that enzalutamide (ENZ) significantly improves overall survival (OS) of metastatic hormone-sensitive prostate cancer (mHSPC) compared to conventional non-steroidal anti-androgen (NSAA). However, intrinsic and acquired resistance to ENZ are ongoing problems. In the CHAARTED mHSPC cohort, elevated circulating IL8 and IGFBP1, and a low IGF1:IGFBP1 ratio, were associated with shorter OS and shorter time to castration-resistance. The aim of this study was to confirm the prognostic association of IL8, IGFBP1, and IGF1:IGFBP1 in mHSPC, and also explore the relationship of a set of immune markers with ENZ treatment by post-hoc analysis of ENZAMET. Methods: Baseline plasma levels of IL8, IGF1, IGFBP1, C-reactive protein (CRP), and 14 other cytokines were profiled in 852 participants of ENZAMET (ENZ n=420; NSAA n=432) using Milliplex antibody assays (Merck). The association of these markers with OS and clinical progression-free survival (cPFS) was assessed by Cox regression. Results: In the whole study cohort, we confirmed that high IGFBP1 and IL8, and low IGF1:IGFBP1 were significantly associated with shorter OS and shorter cPFS (p≤0.029). High CRP, CXCL16, IL6, MIC1 and YKL40, and low IL28A were also associated with shorter OS (p≤0.015). These markers were independently associated with OS in multivariable analysis with treatment arm, volume of disease, concurrent docetaxel, and presence of visceral metastases (p≤0.047, Table). None of these markers were predictive of ENZ response. In subgroup analyses by treatment arm, IGFBP1 and IGF1:IGFBP1 were prognostic in the ENZ arm (OS p≤0.042, cPFS p≤0.02) but not in NSAA (OS p=0.08, cPFS p≥0.2). IL8 was prognostic in the NSAA arm (OS p=0.02, cPFS p=0.006) but not in ENZ (OS p=0.5, cPFS p=0.5). MIC1 was the only marker that was prognostic in both treatment arms (OS & cPFS p≤0.002). Conclusions: These data validate IL8, IGFBP1, and IGF1:IGFBP1 as prognostic biomarkers in mHSPC. Furthermore, pro-inflammatory and macrophage-associated cytokines are associated with poorer clinical outcomes. Clinical trial information: NCT02446405 . Hazard ratio (HR) for OS from univariable analyses and multivariable analyses with clinical variables. Variable (log2) HR (95% CI) from univariable analysis P-value HR (95% CI) from multivariable analysis with clinical variables P-value IL8 1.10 (1.01-1.19) 0.029 1.09 (1.00-1.18) 0.047 IGFBP1 1.12 (1.04-1.21) 0.004 1.10 (1.02-1.18) 0.018 IGF1/IGFBP1 0.94 (0.90-0.98) 0.008 0.94 (0.90-0.98) 0.004 CXCL16 1.43 (1.10-1.84) 0.007 1.31 (1.04-1.65) 0.020 CRP 1.10 (1.05-1.16) <0.001 1.08 (1.03-1.14) 0.002 IL6 1.13 (1.07-1.20) <0.001 1.10 (1.04-1.17) 0.001 MIC1 1.39 (1.23-1.58) <0.001 1.23 (1.08-1.40) 0.002 YKL40 1.19 (1.08-1.32) <0.001 1.17 (1.06-1.29) 0.001 IL28A 0.93 (0.88-0.99) 0.015 0.91 (0.86-0.97) 0.002

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Journal
Journal of Clinical Oncology
Published
2025-05-28
DOI
https://doi.org/10.1200/jco.2025.43.16_suppl.5093
Primary Topic
Diabetes and associated disorders
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article
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article

Association of circulating immune and metabolic markers with clinical outcomes in the ENZAMET trial (ANZUP 1304).

Margaret McJannett, Sonia Yip, Kim N. Chi, Ray McDermott et al.
Journal of Clinical Oncology
Diabetes and associated disorders
article

Association of circulating immune and metabolic markers with clinical outcomes in the ENZAMET trial (ANZUP 1304).

Margaret McJannett, Sonia Yip, Kim N. Chi, Ray McDermott, Vinod Vijay Subhash, Andrew Martin, Nicole Yeung, Scott North, Hui‐Ming Lin, Martin R. Stockler, Ian D. Davis, Neil Portman, Ran Kim, Lisa Glen Horvath, Anthony M. Joshua, Christopher Sweeney
article en

Abstract

5093 Background: ENZAMET showed that enzalutamide (ENZ) significantly improves overall survival (OS) of metastatic hormone-sensitive prostate cancer (mHSPC) compared to conventional non-steroidal anti-androgen (NSAA). However, intrinsic and acquired resistance to ENZ are ongoing problems. In the CHAARTED mHSPC cohort, elevated circulating IL8 and IGFBP1, and a low IGF1:IGFBP1 ratio, were associated with shorter OS and shorter time to castration-resistance. The aim of this study was to confirm the prognostic association of IL8, IGFBP1, and IGF1:IGFBP1 in mHSPC, and also explore the relationship of a set of immune markers with ENZ treatment by post-hoc analysis of ENZAMET. Methods: Baseline plasma levels of IL8, IGF1, IGFBP1, C-reactive protein (CRP), and 14 other cytokines were profiled in 852 participants of ENZAMET (ENZ n=420; NSAA n=432) using Milliplex antibody assays (Merck). The association of these markers with OS and clinical progression-free survival (cPFS) was assessed by Cox regression. Results: In the whole study cohort, we confirmed that high IGFBP1 and IL8, and low IGF1:IGFBP1 were significantly associated with shorter OS and shorter cPFS (p≤0.029). High CRP, CXCL16, IL6, MIC1 and YKL40, and low IL28A were also associated with shorter OS (p≤0.015). These markers were independently associated with OS in multivariable analysis with treatment arm, volume of disease, concurrent docetaxel, and presence of visceral metastases (p≤0.047, Table). None of these markers were predictive of ENZ response. In subgroup analyses by treatment arm, IGFBP1 and IGF1:IGFBP1 were prognostic in the ENZ arm (OS p≤0.042, cPFS p≤0.02) but not in NSAA (OS p=0.08, cPFS p≥0.2). IL8 was prognostic in the NSAA arm (OS p=0.02, cPFS p=0.006) but not in ENZ (OS p=0.5, cPFS p=0.5). MIC1 was the only marker that was prognostic in both treatment arms (OS & cPFS p≤0.002). Conclusions: These data validate IL8, IGFBP1, and IGF1:IGFBP1 as prognostic biomarkers in mHSPC. Furthermore, pro-inflammatory and macrophage-associated cytokines are associated with poorer clinical outcomes. Clinical trial information: NCT02446405 . Hazard ratio (HR) for OS from univariable analyses and multivariable analyses with clinical variables. Variable (log2) HR (95% CI) from univariable analysis P-value HR (95% CI) from multivariable analysis with clinical variables P-value IL8 1.10 (1.01-1.19) 0.029 1.09 (1.00-1.18) 0.047 IGFBP1 1.12 (1.04-1.21) 0.004 1.10 (1.02-1.18) 0.018 IGF1/IGFBP1 0.94 (0.90-0.98) 0.008 0.94 (0.90-0.98) 0.004 CXCL16 1.43 (1.10-1.84) 0.007 1.31 (1.04-1.65) 0.020 CRP 1.10 (1.05-1.16) <0.001 1.08 (1.03-1.14) 0.002 IL6 1.13 (1.07-1.20) <0.001 1.10 (1.04-1.17) 0.001 MIC1 1.39 (1.23-1.58) <0.001 1.23 (1.08-1.40) 0.002 YKL40 1.19 (1.08-1.32) <0.001 1.17 (1.06-1.29) 0.001 IL28A 0.93 (0.88-0.99) 0.015 0.91 (0.86-0.97) 0.002

Journal of Clinical OncologyVol. 43(16_suppl)
The University of Sydney (AU), Garvan Institute of Medical Research (AU), University of British Columbia (CA), University of Alberta (CA), The University of Queensland (AU), St Vincent's Hospital Melbourne (AU), Chris O’Brien Lifehouse (AU), Eastern Health (AU), Cancer Trials Ireland (IE), St. Vincent's University Hospital (IE), St Vincent's Clinic (AU), Centre for Cancer Biology (AU), The Kinghorn Cancer Centre (AU), Australian and New Zealand Urogenital and Prostate Cancer Trials Group (AU), National Health and Medical Research Council (AU), Monash University (AU), The University of Adelaide (AU)
Cancer Council Australia
Openalex Percentile: Top 86%
Diabetes and associated disorders
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