ONCOBOX
Finding the right cancer drug for each patient
Problem

Over 150 target cancer therapeutics are currently on the market, but there is often no easy or effective way to decide which of these drugs to give to a cancer patient.

Solution

OncoBox is personalized genetic profiling to help oncologists decide which drug to use. OncoBox has been shown to increase the effectiveness of target therapies up to three times.

Advantage

The main difference between OncoBox:Integral test and others currently on the market is that we analyze full DNA and RNA profiles, not just mutations or expression of individual genes (though we do that too). Our original bioinformatics algorithms then distinguish which molecular targets are most crucial for individual cases and find the most appropriate personalized treatment.

OncoBox is cost-effective personalized genetic profiling to help doctors decide which drug to use in late-stage cancer patients. OncoBox analyzes the molecular characteristics of a particular tumor and calculates the probability of a positive effect using specific cancer drugs. Learn more

Our process
Step 1 A tumor sample is sent to the lab.
Step 2 We analyze full DNA and RNA profiles of the tumor.
Step 3 We simulate the effect of over 140 targeted drugs on the patient’s tumor.
Step 4 The list of top-rated drugs for the patient’s tumor is calculated.
Step 5 Doctors use the report to prescribe personalized treatment.
Look at demo report
For Physicians

The OncoBox:Integral test is available now to help finding the best treatment option for a patient. To perform the test a sample of tumor biomaterial is required (FFPE block). Once the analysis is complete in 7-10 days, OncoBox delivers a report containing a list of drug options ranked by expected effectiveness, including the results of their previous clinical trials in similar cases. To order or for more information, get in touch with us using the form below.

Encouraging results on our OncoBox:Integral Test were presented at ASCO Annual Meeting 2017. Among 23 advanced, mainly metastatic, solid tumor patients, to whom target treatments were prescribed according to our recommendations, 82.3% had complete or partial response or stabilization.

ORDER ONCOBOX TEST FOR A PATIENT

Comments

Team

Our team includes world-renowned scientists, molecular biologists, bioinformaticians and medical doctors, who have been investigating molecular mechanisms of cancer for years and been published in many peer-reviewed scientific journals, such as Nature and the Journal of Clinical Oncology. Our mission is to develop solutions that help doctors find the most effective treatment for late-stage cancer patients, who often face few options.

andrew_garazha

Andrew Garazha, MSc

Chief Executive Officer
anton_buzdin

Anton Buzdin, PhD

Chief Scientific Officer

Max Sorokin, PhD

Head of Bioinformatics

Victor Tkachev

Chief Technology Officer

Alex Glusker, MD, PhD

Clinical Oncology Advisor

Charles Cantor, Prof., PhD

Molecular Genetics Advisor. Ex-President Human Genome Project

Alex Poltorak, Prof., PhD

Molecular Immunology Advisor. Tufts University

Ilya Muchnik, Prof., PhD

Biostatistics Algorithms Advisor. Rutgers University
Want to collaborate?
For Researchers and Biopharma

Our team has a successful history of partnering with biotech and research institutions to provide state-of-the-art comprehensive bioinformatics analyses of DNA, RNA, and microRNA. OncoBox offers the original bioinformatics techniques and molecular oncology expertise to assist and optimize research or clinical trials as well as the platform to create companion diagnostics tests for existing or prospective drugs.

Our Research

logo_nature_leukemia

More than

30

publications

Unique database

2500+

pathways

7

patents
and licenses

The latest and most important scientific articles of our team are available here. Full list is on the international archive of biomedical articles Pubmed.

News
Partners
UCLA, Genomic Center & Department of Pathology
Rutgers University
California Insitute of Technology
Boston University
Tufts University
Amazon
New York University
logo_lethbridge_mini
University of Lethbridge, Canada
logo_jgu_mini
University of Mainz, Germany
Universitaet_Zuerich_Logo
University of Zurich, Switzerland