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March 4, 2026Journal of Clinical Oncology0 citations

Age as modifier of early proteomic remodeling after androgen deprivation therapy (ADT) in prostate cancer: Influence of innate immune/complement–ECM pathways.

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HKHarikrishnan Hyma KunhiramanOEOsama El‐SayedPNPriyanshu Nain

Key Points

  • This research aims to explore how age influences the proteomic changes occurring after androgen deprivation therapy in prostate cancer patients.
  • Men with prostate cancer initiating androgen deprivation therapy were profiled longitudinally (baseline, 1, 3 months) for proteomic changes.
  • Olink Explore profiling evaluated 2,874 proteins in plasma samples.
  • Linear mixed-effects modeling assessed changes by age group (<70 vs. ≥70).
  • Age×time interactions and pathway enrichments were analyzed to understand age-specific effects.
  • Nine proteins showed significant changes in the first three months post-ADT (FDR q<0.05).
  • Certain proteins, such as ITIH4 and MDGA1, were upregulated while KLK3 and others were downregulated, indicating diverse proteomic responses.
  • Only younger men exhibited significant declines in the anti-inflammatory protein PI3, highlighting age-specific regulatory mechanisms.
  • The study identified distinct proteomic phenotypes with generally consistent changes across age groups.

Abstract

246 Background: ADT is standard for advanced prostate cancer (PC) but increases cardiometabolic risk. The proteomic mechanisms, and whether they differ by age, remain poorly defined. We profiled longitudinal plasma proteomes around ADT initiation to test for age-modified effects. Methods: Men with PC starting ADT (n = 14; baseline, 1, 3 months) underwent Olink Explore profiling (2,874 proteins). Standardized NPX changes were modeled with linear mixed-effects (random intercepts; fixed effects for visit and age <70 vs ≥70) and FDR control. Age×time interactions, baseline traits, and pathway enrichments were analyzed. Results: Median age 65.5 years (IQR 64–72.8); 43% African American; BMI 30.4; 50% diabetes; 79% hypertension; 50% metastatic; median Gleason 8.5. Nine proteins changed over 3 months (FDR q<0.05): Upregulated: ITIH4 (acute-phase/complement), MDGA1. Downregulated: KLK3/PSA (on-target), INSL3 (Leydig), EDDM3B, galanin, PI3 (elafin), SPINT3, ENDOU. Most trajectories were consistent across ages except PI3, which declined only in <70 (β −0.71, FDR <10⁻⁴) and was unchanged in ≥70 (β −0.003, FDR 0.99; interaction q = 0.025). Galanin and ENDOU were significant only in younger men. ITIH4, INSL3, KLK3, EDDM3B, SPINT3, and MDGA1 changed in both (≥70 q ≤ 0.05). Baseline clustering revealed two proteomic phenotypes without differential response. Two deaths occurred (non-significant). Conclusions: ADT induces rapid, multisystem proteomic remodeling with suppression of androgen-linked and activation of innate immune/complement–ECM pathways. Age modifies anti-inflammatory protease regulation (PI3), suggesting divergent inflammatory and matrix-remodeling responses after ADT in younger vs older men. These findings link ADT to early complement–ECM biology underlying cardiometabolic risk and highlight age and select proteins as candidates for biomarker-guided monitoring. Larger, outcome-linked cohorts are needed for validation. Age stratified 3 month effects (standardized NPX β) and FDR q-values. Protein (biology) Direction β (<70y) q (<70y) β (≥70y) q (≥70y) Age×time q ITIH4 (acute-phase/complement-linked) Up +0.42 0.0016 +0.56 0.0218 0.65 MDGA1 (neuronal glycoprotein) Up +0.41 0.0009 +0.56 0.0501 0.65 KLK3/PSA (on-target) Down −4.20 2.9×10⁻⁵ −5.10 0.0167 0.53 INSL3 (Leydig function) Down −5.89 7×10⁻⁶ −5.09 0.0115 0.65 EDDM3B (reproductive) Down −1.55 7×10⁻⁶ −1.87 0.0167 0.65 Galanin (neuroendocrine) Down −1.35 0.00029 −0.76 0.168 0.65 PI3 / Elafin (anti-inflammatory) Down −0.71 9×10⁻⁶ −0.003 0.987 0.025 SPINT3 (serine protease inhibitor) Down −4.48 2.9×10⁻⁵ −4.65 0.0115 0.65 ENDOU (RNA processing) Down −0.72 0.00029 −0.48 0.123 0.65 β = standardized effect (baseline→3 mo); FDR = Benja

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Kunhiraman et al. (2026) studied this question.

synapsesocial.com/papers/69a7cd4fd48f933b5eed98a5https://doi.org/10.1200/jco.2026.44.7_suppl.246
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