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CST: 16/12/2019 01:47:36   

Auransa Presents New Preclinical Data on AU-409, a Novel, AI-Derived Drug Candidate for the Treatment of Hepatocellular Carcinoma

83 Days ago

Oral Presentation at the 13th Annual Conference of the International Liver Cancer Association Highlights Promising Antitumor Activity in Preclinical Cancer Model and HCC Cell Lines

PALO ALTO, Calif., Sept. 23, 2019 (GLOBE NEWSWIRE) -- Auransa Inc., an artificial intelligence (AI)-driven biotechnology company developing precision medicines in areas of significant unmet medical need, today announced that new data on AU-409, the company’s novel lead drug candidate being developed for the treatment of hepatocellular carcinoma (HCC), were presented at the 13th Annual Conference of the International Liver Cancer Association (ILCA) in Chicago.  The study results demonstrated promising antitumor activity for AU-409 in a preclinical orthotopic liver cancer model as evidenced by statistically significant reductions in tumor burden. Additionally, the anticancer activity of AU-409 was also demonstrated in culture using cells derived from patients’ tumors.  The data were highlighted in an oral presentation at the 2019 ILCA conference by Auransa’s Chief Scientific Officer, Andrew Protter, Ph.D.

AU-409 is Auransa’s novel lead drug candidate and was generated leveraging the company’s proprietary AI-driven SMarTR Engine.  The SMarTR Engine tackles disease heterogeneity and leverages gene expression profiles to predict responder patient populations, as well as compounds that might be effective against those patient populations. Auransa is currently conducting investigational new drug (IND)-enabling studies of AU-409 and expects to initiate first-in-human Phase 1 trials in the first half of 2020.

As part of their work, researchers sought to evaluate the anticancer activity of AU-409 in cell culture.  Data demonstrated that AU-409 reduced the viability of HCC cells from a number of patient-derived xenografts, as well as standard HCC stable cell lines.

Additionally, researchers conducted in vivo studies to measure the antitumor activity of AU-409  in an orthotopic mouse model of HCC (Hep3B2.1-7-Luc cells that exhibit bioluminescence measured as total flux, a marker of tumor burden).  Following tumor cell implantation into the liver, mice were treated orally with AU-409 (10 mg/kg or 20 mg/kg) or vehicle for four weeks.  At Day 28, treatment with AU-409 was associated with a dose-dependent, statistically significant decrease in tumor burden, as compared to vehicle.  Tumor burden was reduced by 63% compared to vehicle in the AU-409 10 mg/kg treatment arm (p < 0.001) and 76% compared to vehicle in the AU-409 20 mg/kg treatment arm (p < 0.001).

Treatment with AU-409 in the orthotopic mouse model was well tolerated.  There were no clinical observations associated with the treatment.  Compared to vehicle, AU-409 treatment was associated with a statistically significant increase in body weight, as well as a decrease in liver enzymes that are indicative of liver toxicity.

“These preclinical data support the development of AU-409 for HCC, as predicted by Auransa’s proprietary AI-driven discovery and development technology platform.  The combination of robust anticancer effects in cell culture and in vivo along with evidence of favorable tolerability supports advancing AU-409 into clinical development,” said Dr. Protter.  “Based on these results, we are working to complete IND-enabling studies for the program with the goal of entering the clinic during the first half of 2020.”

“We are pleased by this collection of preclinical data for AU-409 as it offers an early yet important validation of the extent to which Auransa’s SMarTR Engine can accelerate drug discovery and development,” stated Pek Lum, Ph.D., chief executive officer of Auransa. “AU-409 is an example of what we believe is possible when we utilize our novel proprietary AI platform to address the drug discovery and development challenges. By interrogating gene expression profiles, we believe we can predict responder patient populations and the potential treatments that may be effective for those patients. We look forward to the ongoing advancement of the AU-409 program, while continuing to build out our broader product pipeline through novel insights generated by the SMarTR Engine.”

About Auransa

Founded in 2014, Auransa is an artificial intelligence (AI)-driven biotechnology company developing precision medicines in areas of significant unmet medical need.  The company is working to redefine precision medicine by combining a sophisticated, proprietary predictive computational platform with traditional pharmaceutical industry experience.  The company’s SMarTR Engine, which leverages machine learning, advanced analytics and mathematics in an AI framework, generates insights from molecular data for a deep understanding of disease biology and patient subtypes. This information, when paired with the company’s breadth of in-house drug discovery and development expertise, drives the identification of novel compounds designed to most effectively address significant unmet medical needs for clinically meaningful disease subtypes. 

The company has successfully generated a broad pipeline of novel drug candidates that are advancing toward investigational new drug (IND) filings.  This pipeline is led by AU-409, which is being developed for the treatment of hepatocellular carcinoma.  While Auransa is internally focused on oncology, the SMarTR Engine has also generated candidates in the areas of inflammation, infectious disease and metabolic disease.  In addition to the programs being advanced internally, Auransa has also entered into an exclusive regional licensing agreement with a subsidiary of Lee’s Pharmaceutical Holdings Ltd. for the development and commercialization of one of the first programs generated by the SMarTR Engine.  For more information, please visit: www.auransa.com.

Contacts:

For Auransa:

Vida Strategic Partners
Stephanie Diaz (investors)
415-675-7401
sdiaz@vidasp.com

Tim Brons (media)
415-675-7402
tbrons@vidasp.com

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