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Over 80% of anticancer drug candidates fail during clinical screening due to weak efficacy or adverse events.
“However, the success rate of anticancer drugs in clinical trials is very low, with over 80% of drug candidates failing during clinical screening due to weak efficacy or adverse events4–7.”
From Tumor-on-a-chip: from bioinspired design to biomedical application (2021) · cites this paper as [4]
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Estimation of clinical trial success rates and related parameters
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“The [1,2,3]triazolo[1,5-a]pyridine moiety appeared only six times in the initial dataset of 880 structures.”
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New Mechanism for Release of Endosomal Contents: Osmotic Lysis via Nigericin-Mediated K+/H+ Exchange
Rangasamy, L., Chelvam, V., Kanduluru, A. K., Srinivasarao, M., Bandara, N. A., You, F., Orellana, E. A., Kasinski, A. L., & Low, P. S. (2018) · Bioconjugate Chemistry · doi:10.1021/acs.bioconjchem.7b00714 · Cited by 31 · see citing works
The Kv1.3 K+ channel in the immune system and its “precision pharmacology” using peptide toxins
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Drug Screening, Oral Bioavailability and Regulatory Aspects: A Need for Human Organoids
Zietek, T., Boomgaarden, W., & Rath, E. (2021) · Pharmaceutics · doi:10.3390/pharmaceutics13081280 · Cited by 31 · see citing works
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“However, merely 18% of potential biologic drug candidates discovered in research laboratories are able to overcome all challenges involved in their drug product development and successfully reach the clinic (Smietana et al., 2016).”
BackgroundSchistosomiasis Drug Discovery in the Era of Automation and Artificial Intelligence
Moreira‐Filho, J. T., Silva, A. C., Dantas, R. F., Gomes, B. F., Neto, L. R. S., Brandão-Neto, J., Owens, R. J., Furnham, N., Neves, B. J., Silva, F. P., et al. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.642383 · Cited by 32 · see citing works
“Despite all advances achieved in the fi eld of automation of screens, FBDD, and also in the understanding of disease biology in the post-genomic era, delivering new drugs to the market remains a highly complex, expensive and time-consuming process (288, 289).”
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“entering Phase 1 fail as a result of the translational gap between the preclinical and clinical settings [20].”
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“tion rates, with about 90% of drug candidates reaching Phase I clinical trials being destined to fail [4].”
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Monobodies as tool biologics for accelerating target validation and druggable site discovery
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Multitask CapsNet: An Imbalanced Data Deep Learning Method for Predicting Toxicants
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Bioprinting and its Use in Tumor-On-A-Chip Technology for Cancer Drug Screening: A Review
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“Food and Drug Administration marketing approval is between 5% and 10%, which is significantly lower than that of drugs for other diseases[6-8].”
Background
- Authors
- Smietana, K., Siatkowski, M., & Møller, M.
- Affiliations
- McKinsey & Company (United States) (US)
- Venue
- Nature Reviews Drug Discovery
- Published
- 2016-05-20
- Volume
- 15
- Issue
- 6
- Pages
- 379-380
- ISSN
- 1474-1776 (ISSN-L)
- 1474-1784
- OpenAlex
- W2396649694
- Cited by
- 277
- References
- 0
- Citations by year
- 2026: 18 · 2025: 31 · 2024: 27 · 2023: 21 · 2022: 20 · 2021: 34 · 2020: 40 · 2019: 28 · 2018: 29 · 2017: 25 · 2016: 4
- Type
- other
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Reviews Drug Discovery (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Pharmaceutical Economics and Policy
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Pharmacology › Pharmaceutical industry and healthcare
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Keywords
- clinical success rate, late-stage clinical trials, biologics, industry partnerships, drug development trends, portfolio size
- MeSH terms
- Biological Products, Clinical Trials as Topic, Humans, Research Design
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