Sophia Genetics presents multimodal research on AI-driven patient stratification

SOPHiA GENETICS (Nasdaq: SOPH), a cloud-native healthcare technology company and a leader in data-driven medicine, unveiled new research at the European Society for Medical Oncology (ESMO) 2024. The study, conducted in collaboration with AstraZeneca, leverages advanced AI-driven techniques to identify subgroups of stage IV non-small cell lung cancer (NSCLC) patients who could most benefit from the addition of tremelimumab to durvalumab and chemotherapy.

The research is a retrospective, multimodal analysis of the POSEIDON Phase 3 clinical trial (NCT03164616). This trial originally demonstrated that the combination of tremelimumab, durvalumab, and chemotherapy significantly increases progression-free survival (PFS) and overall survival (OS) versus chemotherapy in patients with metastatic NSCLC, which lead to approval of this regiment globally in 1L mNSCLC. The SOPHiA GENETICS study used cutting-edge multimodal machine learning models to analyze clinical, biological, genomic, and imaging data, pinpointing patient subgroups who are most likely to benefit from the combination treatment.

The research highlighted signatures identifying patients with non-squamous metastatic NSCLC who may derive higher OS benefit from the addition of tremelimumab to durvalumab plus chemotherapy in the first-line treatment setting. In particular, EGFR wild-type, FGFR3 wild-type, CDKN2A wild-type, KRAS mutation, and STK11 mutation comprised elements of a signature was identified as being associated with a higher OS benefit. These findings could have significant implications for the treatment of NSCLC, as it provides an exploration avenue towards a more tailored approach to patient care.

“Our collaboration with AstraZeneca represents a major step forward in personalized oncology. Non-small cell lung cancer remains one of the most challenging cancers to treat due to its complex biology and the late stage at which it is often diagnosed,” said Jurgi Camblong, Ph.D., Co-founder and CEO of SOPHiA GENETICS. “This study harnesses the power of multimodal data and advanced AI to identify which patients are most likely to benefit from specific therapies. By tailoring treatment strategies based on a patient’s unique multimodal profile, we aim to improve outcomes and offer new hope to those battling this difficult disease.”

The study was presented as a poster by Ferdinandos Skoulidis, Department of Thoracic Medical Oncology, University of Texas MD Anderson Cancer Center at ESMO 2024 hosted in Barcelona, Spain from September 13-17, 2024. His presentation showcased the operational feasibility and clinical impact of large-scale multimodal analyses in identifying heterogeneous treatment effects in oncology.