On April 15, 2026 OncoHost, a technology company transforming precision oncology through proteomics-based biomarker development, reported its acceptance to present a scientific poster at the American Association for Cancer Research (AACR) (Free AACR Whitepaper) Annual Meeting 2026, taking place April 17–22, 2026, in San Diego, CA.
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The abstract, titled "Proteomic aging biomarkers predict survival in immunotherapy-treated tumors," explores the application of plasma proteomics to quantify biological aging and its clinical implications across multiple cancer types. By leveraging organismal and organ-specific proteomic aging models, the study evaluates how aging-related biological processes correlate with tumor characteristics, patient characteristics, and treatment outcomes.
"This research expands our understanding of how systemic and organ-specific aging processes influence cancer biology and response to immunotherapy," said Michal Harel, Ph.D., VP Translational Medicine at OncoHost and lead author of the study. "By capturing both systemic biological aging and organ-specific aging across multiple tissues, we are uncovering clinically relevant signals that go beyond traditional biomarkers and may help refine patient stratification."
The study analyzed deep plasma proteomic profiles from patients with metastatic solid tumors, including NSCLC, SCLC, renal cell carcinoma (RCC), and melanoma, alongside healthy controls. Results demonstrated that cancer patients exhibit significantly elevated biological age compared to healthy individuals, with lung age gap highest in NSCLC and SCLC, and kidney age gap most significant in RCC. In addition, organ-specific aging patterns were associated with relevant comorbidities, reinforcing the systemic nature of cancer-related aging.
Furthermore, the findings highlight the prognostic value of immune-specific aging for benefit from immunotherapy. Among patients treated with immune checkpoint inhibitors, those with a high immune age gap had significantly shorter overall survival compared to those with a low immune age gap (median OS: 16.4 vs. 31.8 months; HR=0.67, p<0.0001 The effect varied by indication, with the strongest signal observed in melanoma (HR = 0.27, p = 0.0007) and no effect in SCLC (HR = 0.87, p = 0.65), potentially reflecting differences in tumor immunogenicity.
"Being selected to present at AACR (Free AACR Whitepaper) highlights the power of moving beyond tumor-centric thinking," said Ofer Sharon, MD, CEO of OncoHost. "By quantifying biological aging across the body, and specifically the immune system, we are uncovering a new layer of insight into cancer progression and treatment response – one that has the potential to transform how we guide immunotherapy, ultimately enabling more informed treatment decisions and improved patient outcomes."
Poster Presentation Details
Title: Proteomic aging biomarkers predict survival in immunotherapy-treated tumors
Session Title: Biomarkers Predictive of Therapeutic Benefit 3
Poster Board #: 22
Presenters: Michal Harel, PhD, VP Translational Medicine, OncoHost & Adam Dicker, MD, PhD, Chief Medical Officer, OncoHost
Date & Time: Monday, April 20, 2026, 9:00 AM – 12:00 PM PDT
The abstract is available on the AACR (Free AACR Whitepaper) website here.
(Press release, OncoHost, APR 15, 2026, View Source [SID1234664410])