Published February 6, 2023 | Version v1
Journal article Open

Computational integration and meta-analysis of abandoned cardio-(vascular/renal/metabolic) therapeutics discontinued during clinical trials from 2011 to 2022

  • 1. University of Chicago
  • 2. Dock Therapeutics, Inc.
  • 3. Indiana University

Description

Cardiovascular/renal/metabolic (CVRM) diseases collectively comprise the leading cause of death worldwide and disproportionally affect older demographics and historically underrepresented minority populations. Despite these critical unmet needs, pharmaceutical research and development (R&D) efforts have historically struggled with high drug failure rates, low approval rates, and other challenges. Drug repurposing is one approach to recovering R&D costs and meeting unmet demands in therapeutic markets. While there are multiple approaches to conducting drug repurposing, we recognize the importance of bringing together and consolidating discontinued drug information to help identify prospective repurposing candidates. In this study, we have harmonized and integrated information on all relevant CVRM drug assets from U.S. Securities and Exchange Commission (SEC) filings, clinical trial records, PharmGKB, Open Targets, and other platforms. A list of existing therapeutics discontinued or shelved by pharmaceutical/biotechnology companies in 2011–2022 were manually curated and interpreted for insights using information on each drug's genetic target, mechanism of action (MOA), clinical indication, and R&D information including highest phase of clinical development, year of discontinuation, previous repurposing attempts (if any), and other actionable metadata. This study also summarizes the profiles of CVRM drugs discontinued within the past decade and identifies the limitations of publicly available information on discontinued drug assets. The constructed database could serve as a tool for identifying candidates for drug repurposing and developing query methods for collecting R&D information.

Data availability

The original contributions presented in this study are included in this article/Supplementary material, further inquiries can be directed to the corresponding author.

Files

Computational-integration-and-meta-analysis.pdf

Files (2.0 MB)

Name Size Download all
Article
md5:40bdd273fdb7d34e6b8a9ecc0d9d012f
1.9 MB Preview Download
md5:6651776d4471b19900c086e9f10965e2
18.9 kB Download
md5:7272f486d119e00f607147458f90b14c
102.9 kB Download

Additional details

Identifiers

DOI
10.3389/fcvm.2023.1033832
Other
oai:uchicago.tind.io:5476

Funding

Indiana University
National Institutes of Health
R01DK132090

UChicago Information

Division(s)
The College
Department(s)
Cell and Molecular Biology, Biological Sciences