Identification of Molecular Biomarkers for Cancer Target Therapy Efficacy
NCT03724097 · Status: UNKNOWN · Type: OBSERVATIONAL · Enrollment: 200
Last updated 2021-09-14
Summary
This is a prospective trial for a computation-based efficacy prediction method for anticancer target therapies. The original computational algorithm utilizes individual transcriptome data of a cancer sample and assesses changes at the level of gene expression and intracellular signaling pathways. By applying the database of known molecular targets of anticancer target drugs it allows to rank potential efficacies of target drugs.
Conditions
Interventions
- OTHER
-
RNA sequencing
Next Generation Sequencing of RNA from tumor samples, rRNA-depleted.
- OTHER
-
Transcriptome analysis
Analysis of RNA-seq data using the Oncobox algorithm.
- DRUG
-
target drug with the score above 0,1
target drug with the score above 0,1
- DRUG
-
target drug with the score equal or below 0,1
target drug with the score equal or below 0,1
- DRUG
-
non-target drug
non-target drug
- DRUG
-
palliative care
palliative care
Sponsors & Collaborators
-
Oncobox Ltd
collaborator UNKNOWN -
Vitamed LLC
collaborator UNKNOWN -
N.N. Blokhin National Medical Research Center of Oncology
collaborator OTHER -
Kaluga Regional Clinical Oncology Center
collaborator OTHER -
Multidisciplinary medical holding SM-Clinic
collaborator UNKNOWN -
Oncological Clinical Dispensary No. 1 of the Moscow City Health Department
collaborator UNKNOWN -
OmicsWay Corp.
lead INDUSTRY
Principal Investigators
-
Anton A Buzdin, Ph.D., D.Sc · OmicsWay Corp.
Eligibility
- Min Age
- 18 Years
- Max Age
- 80 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2017-10-17
- Primary Completion
- 2021-04-01
- Completion
- 2022-11-01
- FDA Drug
- Yes
Countries
- United States
- Russia
Study Locations
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