Exosomal proteins as novel biomarkers for early detection of ovarian cancer
TS-075248 — Problem
High-grade serous ovarian cancer (HGSOC) accounts for over 75% of all epithelial OC and has a high mortality rate due to a lack of early detection methods. Current biomarkers have low sensitivity and specificity in early-stage disease. There is an urgent need for a more effective diagnosis …
- College: College of Medicine (COM)
- Inventors: Karuppaiyah, Selvendiran; Cohn, David
- Licensing Officer: Taysavang, Panya
Biomarker for peripheral neuropathy
TS-075246 — Problem
Peripheral neuropathy, especially small fiber neuropathy, is a debilitating condition that affects millions and is commonly linked to aging, diabetes, and metabolic disorders. Existing diagnostic tools are often invasive, expensive, or they lack the sensitivity to detect early disease stage…
- College: College of Medicine (COM)
- Inventors: Townsend, Kristy; Blaszkiewicz, Magdalena; Gunsch, Gilian; Segal, Benjamin; Willows, Jake
- Licensing Officer: Willson, Christopher
Biomarker for prediction of immunotherapy outcomes and precision treatment strategies
TS-075237 — Problem
The loss or mutation of serine/threonine kinase 11 (STK11), observed in 20–25% of non-small cell lung cancer (NSCLC) cases, is associated with poor prognosis and resistance to immune checkpoint blockade (ICB). While STK11 alterations are commonly linked to immunotherapy resistance, so…
- College: College of Medicine (COM)
- Inventors: Kaufman, Jacob
- Licensing Officer: Willson, Christopher
Single extracellular vesicular RNA signature as biomarkers for glioblastoma detection
TS-075177 — Problem
Glioblastoma multiforme (GBM) is the most malignant form of gliomas and the most lethal primary brain tumors in adults. Current biomarkers or clinical features from tissue biopsy samples cannot distinguish glioma true progression from pseudoprogression and might not be suited to monitoring …
- College: College of Engineering (COE)
- Inventors: Reategui, Eduardo; Li, Hong
- Licensing Officer: Schworer, Adam
EmitGCL: Prediction of Future Metastasis based on Graph Contrastive Learning
TS-075168 — Problem
Metastasis is the primary driver of cancer-related deaths, yet accurately predicting its onset is a major clinical challenge. Current diagnostic tools often fail to detect occult metastatic cells and metastatic precursor cells, resulting in either overdiagnosis, with unnecessary treatments,…
- College: College of Medicine (COM)
- Inventors: Ma, Qin; Wang, Xiaoying
- Licensing Officer: Hampton, Andrew
Novel Genomic Score for Predicting Survival Benefit with Immunotherapy in Metastatic Cancers
TS-075158 — Problem
The global immune checkpoint inhibitor (ICI) market is ~$60B. However, only ~20% of patients derive long-term survival benefit. The current standard of care biomarker Tumor Mutation Burden (TMB) performs poorly and there is no universal biomarker with robust validated predictive ability.
Opportunity
A companion diagnostic for identifying patients who benefit with ICI would unlock a large market by improving patient outcome and enabling a pan-cancer treatment indication that helps newer market entrants to better compete with incumbents.
Solution
Genomic Score that Predicts Survival: We have developed a pan-cancer genomic scoring system encompassing ~170 genes that predicts long term survival with immune checkpoint inhibition (ICI)
Derivation: Developed from next-generation sequencing genomic data from 54 Neuroendocrine neoplasms who received ICIs at OSU
Validation: Performed by analyzing and scoring 20,563 genomic alterations in 1,662 ICI treated patients with 10 different cancers from a publicly available dataset. (Samstein et al., Nature Genetics 2019).
Broad Applicability: NSCLC, Melanoma, Colorectal Cancer, Bladder cancer and Neuroendocrine Neoplasms.
Competitive Advantage
The genomic score performed better than the TMB score (current standard of care)
AUC of 0.87-0.95 for genomic score vs AUC of 0.57 for TMB
Predictive of survival in 5 types of cancer including NSCLC
Applications
Biotech/Pharma companies: Develop a companion diagnostic to facilitate ICI drug development and improve patient outcome that leads to a new pan-cancer treatment indication that competes strongly with established players such as Keytruda and Opdivo which lose patent exclusivity within 3 years
Payors/Nationalized Health Systems: Accurately predicting survival benefit helps maximize benefit from expenditure on ICI
- College: OSU Wexner Medical Center
- Inventors: Sukrithan, Vineeth
- Licensing Officer: He, Panqing
Free Energy Spectroscopy: Transforming Molecular Analytics for Next-Generation Biotech and Pharma
TS-071946 — Powering faster, smarter decisions with real-time molecular insights for research and therapeutic development.
Overview
Pharmaceutical and biotech companies often face delays and uncertainty in new drug development due to insufficient experimental insight into the shifting behaviors of large biomolecular complexes— processes critical to understanding disease and drug mechanisms. Free Energy Spectrosco…
- College: College of Arts and Sciences (COAAS)
- Inventors: Poirier, Michael; Bonin, Kalven; Bundschuh, Ralf; Castro, Carlos
- Licensing Officer: Panic, Ana
MicroRNA profile predicts colon cancer prognosis
TS-065453 — The Need:
Colon cancer remains one of the most prevalent and lethal forms of cancer worldwide. Timely and accurate diagnosis is critical for effective treatment and improved patient outcomes. Current diagnostic methods often lack the precision and sensitivity needed for early detection and prognosi…
- College: College of Medicine (COM)
- Inventors: Croce, Carlo
- Licensing Officer: Schultz, Teri
Scalable Nanoparticle Synthesis for Precision Applications
TS-064181 —
In the rapidly evolving landscape of nanotechnology, there exists a critical demand for scalable and efficient methods of producing nanoparticles. Current approaches, often confined to small-scale batches, hinder the widespread implementation of nanomaterials in diverse fields such as medicine, bi…
- College: College of Engineering (COE)
- Inventors: Winter, Jessica; Ruan, Gang
- Licensing Officer: Dahlman, Jason "Jay"
Unveiling Biochemically Responsive MR Probes for Precision Beyond Limits
TS-064179 —
In the realm of medical diagnostics, the need for precise and non-invasive detection of molecular-level pathology has been a longstanding challenge. Traditional imaging techniques often fall short in providing detailed insights into biological processes at this scale. To address this gap, there is…
- College: College of Arts and Sciences (COAAS)
- Inventors: Shafaat, Hannah "Hannah"
- Licensing Officer: Dahlman, Jason "Jay"
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