Caris Life Sciences Publishes Study Showing AI Signature-positive Breast Cancer Patients Live Almost Twice as Long as AI-negative Patients When Treated with a Checkpoint Inhibitor
Groundbreaking study in
For this study, Caris' AI model analyzed data from over 35,000 patients in the Caris clinico-genomic database. In breast cancer, the AI model scored PD-L1 positive phenotype status using an H&E image alone and assessed overall survival of patients treated with pembrolizumab, achieving a hazard ratio (HR) for overall survival of 0.511 (p<0.001), compared to an HR of 0.882 (p>0.1) for traditionally scored PD-L1 IHCs, a result consistent with an almost doubling of overall survival for patients treated with pembrolizumab. In colorectal cancer, AI predicted mismatch repair deficiency (MMRd) and microsatellite instability (MSI) equivalent to traditional scoring.
"Traditional PD-L1 testing can undercall positive cases, especially near the 1% threshold," said
"This study highlights how AI can significantly improve the accuracy and efficiency of tissue sample evaluation, and down the line, this has the potential to guide immunotherapy decisions and enhance patient outcomes," said
The publication can be viewed in its entirety on the
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Caris was founded with the belief and vision that combining a vast set of consistently generated molecular information with robust data-driven insights could realize the potential of precision medicine for patients. Headquartered in
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