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KIYATEC Clinical Study Data Shows Test Accurately Predicts Brain Cancer Patient Response

Validated platform with clinically actionable results creates real possibilities to improve care for glioblastoma (GBM) and other high-grade glioma patients

GREENVILLE, S.C. – June 17, 2021 – KIYATEC, Inc. announced today the publication of new peer-reviewed data that establishes clinically meaningful prediction of patient-specific responses to standard of care therapy, prior to treatment, in newly diagnosed glioblastoma (GBM) and other high-grade glioma (HGG) patients. The results, the interim data analysis of the company’s 3D-PREDICT clinical study, were published June 16, 2021 in Neuro-Oncology Advances, an open access clinical journal.

A goal of the study, which continues to enroll, was for the test’s prospective, patient-specific response prediction to achieve statistical significance for predictive accuracy. The 3D-PREDICT study met this goal early, at its interim data analysis, an achievement that is uncommon for innovations in oncology. For clinicians and payors, the publication establishes the successful analytical validation and early clinical validation of KIYATEC’s 3D Predict™ Glioma assay.

The recent bipartisan resolution passed by the US Senate designating July 21, 2021 as Glioblastoma Awareness Day highlights the severity of this aggressive brain cancer. Fewer than 10% of patients survive longer than five years. Pharmaceutical and clinical efforts have only resulted in modest increases in overall survival since the disease was first described in the 1920s. Today, most newly diagnosed patients receive the same treatment regimen (radiation therapy and temozolomide), presenting an opportunity to improve care through shifting the paradigm toward individualized medicine for HGG treatment.

KIYATEC’s test results accurately identified the patients as future temozolomide responders or future non-responders prior to the initiation of drug treatment. The future responder group had a statistically significant 6-month comparative increase in overall survival. Since test results are available only seven days after surgery, this creates an opportunity to improve outcomes for each predicted non-responder by providing the possibility of patient-specific treatment strategies. In the future, KIYATEC’s results may also prove useful to improve outcomes for each predicted responder through patient-specific combination strategies.

Successful response-prediction for newly diagnosed patients follows the company’s previous success with predicting treatment response in recurrent high-grade glioma patients. In December 2020, KIYATEC announced a clinical case series demonstrating that use of their test doubled these patients’ median time to progression over what would be expected without use of the test. In addition, the earlier announcement demonstrated successful clinical use of the targeted agent dabrafenib in two patients that were not identified by genetic sequencing. By identifying successful response to drugs that would have been missed by today’s testing, KIYATEC’s results expanded the successful treatment options for these patients.

“Decision making in our framework is based on patient-specific evidence, embodying truly personalized medicine. Evidence of response before the first dose is administered creates options that were not previously available when it comes to treatment,” said Matthew Gevaert, PhD, CEO of KIYATEC.

Versus other approaches, tests developed using KIYATEC’s 3D ex vivo cell culture platform demonstrate increased biological fidelity, which was first reported in 2019 in ovarian cancer. In newly diagnosed ovarian cancer patients, KIYATEC’s test prospectively and accurately predicted response to first-line chemotherapy with 89% accuracy. The new GBM results now establish comparable predictive accuracy in two solid tumors, with eight additional cancers in the company’s pipeline.

About KIYATEC
KIYATEC leverages its proprietary ex vivo 3D cell culture platforms to accurately model and predict response to approved and investigational cancer drugs targeting a spectrum of solid tumors. The platforms are positioned to address the gap-defining limitations of current cancer drug selection. The company’s Clinical Services business is currently engaged in the validation of clinical assays as well as investigator-initiated studies in ovarian cancer, breast cancer, glioblastoma and rare tumors, in its CLIA-certified laboratory. The company’s Drug Development Services business works in partnership with leading biopharmaceutical companies to unlock response dynamics for their investigational drug candidates across the majority of solid tumor types.

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Tamia Sumpter

Tamia is a driven senior undergraduate Bioengineering student currently enrolled at Clemson University. With a strong foundation in her field, she has honed her skills through hands-on experience in research and development at Eli Lilly & Company. During her time in the ADME department, Tamia contributed significantly by working on siRNAs and their applications in finding In Vitro-In Vivo Correlation (IVIVC). Looking ahead, Tamia has set her sights on a promising career in law. She aspires to specialize in Intellectual Property Law, with a particular focus on serving as in-house counsel for leading medical device or pharmaceutical companies. Her enthusiasm for this role is palpable as she prepares to embark on her legal journey! She is also a proud member of the Omicron Phi chapter of Delta Sigma Theta Sorority, Inc., PEER Mentor for Clemson PEER/WiSE, and currently serves as the President of Clemson Bioengineering Organization (CBO). With her unique blend of scientific knowledge and legal interests, Tamia is poised to make a meaningful impact in the healthcare and life sciences industries.