OncoHost, a technology company focused on precision medicine for improved patient outcomes, announced the publication of a study that highlighted the role of its PROphet NSCLC as a plasma proteome machine learning-based decision-support tool, identifying patient subsets benefiting from PD-1/PD-L1 inhibitor-based therapies.
The study that demonstrated the clinical validity and utility of OncoHost’s proprietary PROphet NSCLC test, was published in JCO Precision Oncology (JCO PO)
Entitled ‘Plasma Proteome-Based Test for First-Line Treatment Selection in Metastatic Non-Small Cell Lung Cancer,’ the peer-reviewed paper also highlighted how the PROphet NSCLC test served as a composite biomarker alongside tumor PD-L1 testing, OncoHost’s test optimizes treatment selection, leading to improved survival outcomes and potentially reducing chemotherapy-related toxicity in select patients.
PROphet NSCLC Alongside Tumor PD-L1 Testing
“One of the greatest unmet needs in therapy of non-small cell lung cancer is the development of better predictive biomarkers for checkpoint immunotherapy,” says Profesor David Gandara, clinical advisor at OncoHost and co-author of the paper. “While both PD-L1 and tumor mutational burden are approved biomarkers, they have limited applicability due to the genomic and immunologic complexity of this cancer type. The preliminary data in this paper suggests that PROphet, when used together with the PD-L1 score, can greatly improve therapeutic decision-making and benefit our patients.”
Improving Quality of Care and Patient Outcomes
Currently, there is a significant gap in the availability of definitive biomarkers to effectively guide immunotherapy treatment decisions. It takes an average of 3-6 months to assess treatment response, which not only decreases the quality of care but also heightens the risk of poor outcomes. Despite the thousands of ongoing clinical trials exploring immunotherapy-based therapeutics, progress has remained modest, the company says. To drive meaningful advances and enhance clinical outcomes, it is imperative to identify both response and resistance biomarkers for immunotherapy-based therapies. OncoHost’s PROphet platform represents a new generation of precision oncology tools offering a solution to this critical challenge, the company says.
Further reading: OncoHost Develops Predictive Biomarker for Immune-Related Adverse Events in NSCLC Patients
“This publication underscores the strength of our PROphet NSCLC test as a reliable proteomics-based decision-support tool for metastatic patients,” says Ofer Sharon, MD, CEO of OncoHost. “Notably, this represents a significant step forward for the industry, as there are few precision oncology tests utilizing machine learning (ML) on liquid assays in proteomics. By integrating ML into our approach, we have created a new breed of tests that can analyze vast amounts of data points from the blood proteome, providing clear clinical utility for physicians treating patients with advanced disease. Thank you to all the patients, physicians, and scientists who, together with our dedicated team at OncoHost, made this work possible. I am eager to see the promising developments ahead.”
