Flare Therapeutics Presents Novel, AI-Based Method Identifying Luminal Subtype of Urothelial Cancer Supporting Lead Asset FX-909 at the 2023 AACR-NCI-EORTC International Conference on Molecular Targets and Cancer Therapeutics

– Approach has potential to identify patients likely to respond to PPARG inhibition through FX-909 –
– AI-powered, end-to-end learning model was developed in collaboration with PathAI –

Cambridge, Massachusetts – October 13, 2023 – Flare Therapeutics, a biotechnology company targeting transcription factors to discover precision medicines for cancer and other diseases, today announced a new study describing a robust artificial intelligence (AI)-based model in partnership with PathAI that accurately predicts luminal muscle invasive urothelial cancer (MIUC), characterized by high peroxisome proliferator-activated receptor gamma (PPARG) expression using H&E-stained slides. This approach supports the clinical development of the Company’s first-in-class clinical candidate, FX-909, for the treatment of patients with advanced Urothelial Carcinoma (UC). These findings were shared at the 2023 AACR-NCI-EORTC International Conference on Molecular Targets and Cancer Therapeutics being held in Boston, Mass. from October 11-15, 2023.

“The digitization of pathology has ushered in a new era of AI and machine learning that can inform patient diagnosis and guide clinical decision-making. We are excited to be at the forefront of applying these innovative biomarker approaches to identify patients with advanced urothelial cancer that may potentially respond to PPARG inhibition,” said Michaela Bowden, Chief Development Officer at Flare Therapeutics. “High PPARG expression is a defining feature of luminal MIUC, accounting for approximately 65% of cases in the advanced and metastatic setting. The ability to further stratify patient subsets could offer a powerful tool to inform the path forward for therapy that could include Flare Therapeutics’ lead investigational compound, FX-909.”

The poster presentation, titled “AI Analysis of Histological Images Accurately Identifies Luminal Subtype Urothelial Carcinomas Characterized by High PPARG Expression,” analyzed H&E-stained slides from 367 unique primary MIUC cases obtained from the TCGA BLCA dataset and 42 MIUC cases from an independent dataset. An end-to-end additive multiple-instance learning model was deployed, resulting in excellent performance typified by AUROC values greater than or equal to 95%, correctly classifying advanced urothelial cancer of luminal subtype, across the test, validation and independent data sets.

“We conducted machine-learning driven analyses of digital images from H&E-stained tissues to identify patients with luminal MIUC,” said Michael Montalto, Chief Scientific Officer at PathAI. “We are highly encouraged by the initial results relative to current molecular approaches and look forward to collaborating with the Flare Therapeutics team to evaluate the performance of this novel algorithm in support of the FX-909 program. The model could have tremendous utility in helping to improve MIUC patient outcomes. It was a pleasure to work closely with the Flare Therapeutics team and apply our model to a real-world application.”

FX-909 is a first-in-class novel, highly potent and selective small molecule that inhibits PPARG to treat patients with the luminal subtype of advanced UC. The Company recently initiated clinical trials for FX-909.

About Flare Therapeutics Inc.
Flare Therapeutics is a biotechnology company exclusively focused on drugging transcription factors (TFs) to fully unlock the therapeutic potential of this previously elusive target class. Flare Therapeutics’ integrated discovery engine converges rich genetic, biochemical, and chemical insights to reveal druggable pockets and identify small molecule ligands capable of modulating TFs of high therapeutic potential. Our proteomic and mass spectrometry platform is powered by a proprietary library of electrophilic compounds unique to Flare Therapeutics. The team has rapidly established an emerging pipeline of programs, highlighted by FX-909, a first-in-class investigational orally bioavailable small molecule inhibitor of PPARG, a master regulator of the luminal lineage in advanced Urothelial Cancer that has entered the clinic. For more information, please visit www.flaretx.com and follow us on LinkedIn.

About FX-909
Flare Therapeutics’ lead investigational compound, FX-909, is a first-in-class novel, highly potent and selective small molecule that inhibits the transcription factor peroxisome proliferator-activated receptor gamma (PPARG) to treat patients with the luminal subtype of advanced urothelial carcinoma (UC). FX-909 is currently undergoing investigation in a Phase 1 clinical study, a first-in-human, dose-escalation and expansion study evaluating safety, tolerability, pharmacokinetics, pharmacodynamics and clinical activity. Preclinical data for FX-909 has demonstrated robust anti-tumor activity, excellent PK/PD correlation, durable efficacy, and a favorable safety profile in mouse models of UC (PPARG-amp and RXRA-mut) at very low oral doses.

About Advanced Urothelial Carcinoma (UC)
In 2020, there were an estimated 725,549 people living with bladder cancer in the United States alone, making it the sixth most common cancer overall, and fourth most common among men (SEER – 2020). Each year, there are more than 83,000 new cases diagnosed among men and women, and about 25% of those cases are classified as muscle-invasive UC (DRG 2020). Advanced UC has high rates of recurrence, where treatment outcomes have remained poor with typical five-year survival rates of 8% in advanced metastatic disease (SEER – 2020). The transcription factor peroxisome proliferator-activated receptor gamma (PPARG) is associated with the luminal lineage subtype reflecting approximately 65% of all advanced UC cases (Robertson, Cell 2017). Recurrent genetic alterations in PPARG are characteristic of this molecular subtype.

Julie Seidel
Stern Investor Relations

Peg Rusconi
Verge Scientific Communications


This links to an external website.