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Study Using a Functional Test Supports Clinical Feasibility and Efficacy of Personalized Cancer Therapy
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Study Using a Functional Test Supports Clinical Feasibility and Efficacy of Personalized Cancer Therapy

Study Using a Functional Test Supports Clinical Feasibility and Efficacy of Personalized Cancer Therapy
News

Study Using a Functional Test Supports Clinical Feasibility and Efficacy of Personalized Cancer Therapy

Human lymphoma tumor cells in the pleural fluid stained with a Defquick stain and magnified to 400x. Credit: Dr. Lance Liotta Laboratory/ National Cancer Institute
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Standard therapy for advanced recurring aggressive, hematological malignancies, such as leukemias and lymphomas, have a limited effect with patients experiencing short survival times. A study at the Vienna General Hospital conducted by physicians and scientists from Medical University Vienna and the CeMM Research Center for Molecular Medicine (CeMM), as well as ETH Zurich for the first time demonstrated that therapy selection based on results from a functional test is clinically possible and effective in patients with recurrent hematologic cancers. The researchers quantified drug effects on single cells from real-time patient biopsies using a novel experimental technique, resulting in 56 patients receiving individually tailored treatment – with significant positive outcome. The work is published in Cancer Discovery (Impact Factor: 39.4), a Journal of the American Association for Cancer Research.

The central aim of personalized medicine is to find the right treatment for the right patient at the right time by analyzing and using specific characteristics of the patient’s tumor. Until now, personalized therapy-matching has been primarily done based on genetic biomarkers. However, these provide treatment options for less than 10% of cancer patients. On the other hand, functional precision medicine (FPM) utilizes functionally evaluates the efficacy of numerous drugs directly on cancer cells, similar to the testing of antibiotics in an antibiogram.

This study tested a novel approach of FPM, specifically termed “single-cell functional precision medicine (scFPM)”, where the response to drugs on healthy and malignant cells, isolated from freshly removed tissue from cancer patients, is investigated with an in-depth analysis. Consequently, the method facilitates the identification of drugs that show cancer cell specific efficacy, while plausibly exhibiting a reduction in side effects. High precision of this platform is achieved with automated high-content microscopy and computerized image analysis, formerly called “pharmacoscopy”.

Within the framework of the EXALT (Extended Analysis for Leukemia/Lymphoma Treatment) study, focusing on patients with advanced hematological cancers, physicians and scientists led by Philipp Staber (MedUni Vienna/University Hospital Vienna), Ingrid Simonitsch-Klupp (MedUni Vienna/University Hospital Vienna), Giulio Superti-Furga (CeMM), and Berend Snijder (ETH Zurich, formerly CeMM) were for the first time able to show that therapy guidance by a functional test is clinically feasible and beneficial for cancer patients. The first authorship of the publication is shared by Christoph Kornauth and Tea Pemovska (both MedUni Vienna/University Hospital Vienna), as well as Gregory Vladimer (Exscientia, formerly CeMM).

Testing drug efficacy


“We examined patients' tumor cells of real-time biopsies and directly tested the effects of more than 130 candidate compounds to determine which therapy would be effective in each patient,” said Principal Investigator of the study, Philipp Staber, Associate Professor at the Clinical Department of Hematology and Hemostaseology at MedUni Vienna and the Vienna General Hospital and a member of the Comprehensive Cancer Center (CCC). “To test the individual benefit of patients, the response time to therapy was compared with that to their respective prior therapy. 54% of our patients had a significant, at least more than 30% prolonged time of progression-free survival under the scFPM-guided therapy. 21% of all patients even showed a long-term response. Our study demonstrates that individual therapy tailoring is feasible and effective in breaking resistance to prior therapies," says Staber. The image-based scFPM approach was developed in the research group of CeMM Principal Investigator and Scientific Director Giulio Superti-Furga, also Professor of Molecular Systems Biology at the MedUni Vienna. Giulio Superti-Furga adds: "We wanted to enable true personalized medicine in cancer treatment. For years, many, like us at CeMM and MedUni Vienna, have been working on ever-improving molecular profiles of genes, proteins and metabolites that should facilitate individualized treatment of patients. But the approach used here is a kind of a shortcut. We're directly testing which drug actually works on the cancer cells. The idea of personalized cancer medicine is far from new. But many years of research have gone into developing the technology behind analyzing tumor tissue in such a way that therapy-relevant information can be extracted. Today, we can perform single-cell analyses of patient samples with unprecedented resolution and precision, observe individual immune cell interactions, and thus test the effect of an enormous variety of drugs."

Targeted therapy selection


This is the first systematic prospective evaluation of a precision medicine cancer approach using a direct functional assay to instruct n-of-one therapies. Thus, active substances were directly tested on the patient's cell material in order to derive an individually tailored anti-cancer therapy. The most advanced patients with aggressive hematological cancers clearly benefited from the approach and the findings validate the utility, efficacy, and feasibility of integrating functional drug testing in clinical routine.

Reference: Kornauth C, Pemovska T, Vladimer GI, et al. Functional precision medicine provides clinical benefit in advanced aggressive hematological cancers and identifies exceptional responders. Cancer Discov. 2021. doi: 10.1158/2159-8290.CD-21-0538

This article has been republished from the following materials. Note: material may have been edited for length and content. For further information, please contact the cited source.


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