PredxBio to Present Groundbreaking Findings in Spatial Analytics for Precision Oncology at SITC 2025

PredxBio, a leader in AI-driven spatial analytics for precision oncology, will present new clinical and translational results at the Society for Immunotherapy of Cancer (SITC) 2025 Annual Meeting. The company will host a scientific symposium and share findings from four collaborative studies that demonstrate the potential of spatial multi-omic analytics to predict immunotherapy response, reveal new targets, and accelerate precision oncology development.

Key Takeaways:

• PredxBio will present new findings in spatial analytics for precision oncology at SITC 2025 through a scientific symposium and four collaborative studies.
• The studies will showcase how AI-driven spatial and multi-omic analytics can uncover cellular and molecular programs that predict immunotherapy response and reveal new targets.
• PredxBio's SpaceIQ platform will be featured in live demonstrations at Booth #819, showcasing its ability to decode the tumor immune microenvironment and enable predictive biomarker discovery, patient stratification, and mechanism-of-action insights.
• The company's findings have the potential to accelerate precision oncology development, improve patient selection and stratification in immunotherapy trials, and uncover new therapeutic targets.
• PredxBio will also share results from four collaborative spatial multi-omic studies linking immune metabolism, spatial signaling, and molecular interactions within the tumor microenvironment to therapeutic outcomes.

Statistics:

• 4 collaborative spatial multi-omic studies will be presented at SITC 2025, covering multiple disease contexts including head and neck cancer, non-small cell lung cancer, pulmonary fibrosis, and combination chemo-immunotherapy trials.
• The studies have identified markers of Wnt/β-catenin signaling and glutamine utilization within the stromal microenvironment in Head & Neck Squamous Cell Carcinoma (HNSCC) that predict cancer recurrence.
• Metabolic reprogramming of glycolysis, fatty acid oxidation, and anti-oxidative stress in macrophages is predictive of immunotherapy response in NSCLC.
• Spatial multi-omic analysis captures immuno-modulatory programs of ATG7, CD44, and LPAR1 genes in mediating disease heterogeneity of pulmonary fibrosis (PF).

Sources:

• PredxBio press release, "PredxBio to Present Groundbreaking Findings in Spatial Analytics for Precision Oncology at SITC 2025" (November 3, 2025)
• SITC 2025 Annual Meeting, Gaylord National Resort & Convention Center, National Harbor, MD (November 5-9, 2025)
• PredxBio website, predxbio.com
• A. Burak Tosun, PredxBio Inc., 1 4122123115, info@predxbio.com