Exscientia to Present Data Highlighting Pipeline and Precision Medicine Platform at AACR

Exscientia plc (Nasdaq: EXAI) today announced that four abstracts have been accepted for poster presentation at the upcoming American Association for Cancer Research (AACR) Annual Meeting 2023, being held April 14-19, 2023, at the Orange County Convention Center in Orlando, FL. These abstracts highlight the components of Exscientia's approach to precision discovery, design and personalised medicine as well as planned innovation in the clinic.

“The clinical and preclinical data showcased at AACR further validate Exscientia's functional precision medicine platform and translational research capabilities,” said Andrew Hopkins, D.Phil, founder and Chief Executive Officer of Exscientia. “These new data demonstrate the potential of integrating outstanding science with cutting-edge AI, to efficiently identify novel targets with the potential for increased probability of clinical success. We also believe that our platform can be used to predict outcomes that help identify cancer patients with high unmet need who may benefit most from treatment. We look forward to advancing these programmes and expanding our pipeline with the goal of developing precision-designed, truly personalised medicines for patients around the world.”

Abstracts Accepted for Poster Presentation:

Title: Identification of transcript adenosine fingerprint to enrich for A_2AR and PD-1 inhibition responders
Session Title: Biomarkers of Therapeutic Benefit 2
Abstract Number: #2151
Date/Time: Monday, April 17 / 9:00 AM - 12:30 PM EDT

Next generation precision cancer medicine mandates a deep understanding of the disease milieu and drug function to create complex patient selection biomarkers, more than single mutations. To enrich for patients who will most likely respond to EXS21546 (‘546), Exscientia's clinical stage A_2AR-selective antagonist targeting the adenosine pathway, Exscientia researchers leveraged a combination of single cell functional and transcriptomics from complex primary patient samples to identify an adenosine-induced immunosuppression biomarker signature (adenosine burden score or ABS). The ABS correlates with checkpoint inhibitor (CI) response prediction to potentially predict patients likely to benefit from combined A_2AR antagonism and CI. Here, researchers show that the adenosine burden, as monitored by ABS, is reduced following antagonism of A_2AR with ‘546, which in turn restores CI response potential. The ABS is being confirmed retrospectively in the ongoing IGNITE Phase 1/2 clinical study of ‘546 in combination with a PD-1 inhibitor in relapsed/refractory renal cell carcinoma (RCC) and non-small cell lung cancer (NSCLC).