The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Research and Development Spending to Bring a Single Cancer Drug to Market and Revenues After Approval
Open accessAbstract
Importance: A common justification for high cancer drug prices is the sizable research and development (R&D) outlay necessary to bring a drug to the US market. A recent estimate of R&D spending is $2.7 billion (2017 US dollars). However, this analysis lacks transparency and independent replication. Objective: To provide a contemporary estimate of R&D spending to develop cancer drugs. Design, Setting, and Participants: Analysis of US Securities and Exchange Commission filings for drug companies with no drugs on the US market that received approval by the US Food and Drug Administration for a cancer drug from January 1, 2006, through December 31, 2015. Cumulative R&D spending was estimated from initiation of drug development activity to date of approval. Earnings were also identified from the time of approval to the present. The study was conducted from December 10, 2016, to March 2, 2017. Main Outcomes and Measures: Median R&D spending on cancer drug development. Results: Ten companies and drugs were included in this analysis. The 10 companies had a median time to develop a drug of 7.3 years (range, 5.8-15.2 years). Five drugs (50%) received accelerated approval from the US Food and Drug Administration, and 5 (50%) received regular approval. The median cost of drug development was $648.0 million (range, $157.3 million to $1950.8 million). The median cost was $757.4 million (range, $203.6 million to $2601.7 million) for a 7% per annum cost of capital (or opportunity costs) and $793.6 million (range, $219.1 million to $2827.1 million) for a 9% opportunity costs. With a median of 4.0 years (range, 0.8-8.8 years) since approval, the total revenue from sales of these 10 drugs since approval was $67.0 billion compared with total R&D spending of $7.2 billion ($9.1 billion, including 7% opportunity costs). Conclusions and Relevance: The cost to develop a cancer drug is $648.0 million, a figure significantly lower than prior estimates. The revenue since approval is substantial (median, $1658.4 million; range, $204.1 million to $22 275.0 million). This analysis provides a transparent estimate of R&D spending on cancer drugs and has implications for the current debate on drug pricing.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
How to improve R&D productivity: the pharmaceutical industry's grand challenge
Paul, S. M., Mytelka, D. S., Dunwiddie, C. T., Persinger, C. C., Munos, B. H., Lindborg, S. R., & Schacht, A. L. (2010) · Nature Reviews Drug Discovery · doi:10.1038/nrd3078 · Cited by 3,566
Innovation in the pharmaceutical industry: New estimates of R&D costs
DiMasi, J. A., Grabowski, H. G., & Hansen, R. W. (2016) · Journal of Health Economics · doi:10.1016/j.jhealeco.2016.01.012 · Cited by 3,359
Leukemia, E. I. C. M. (2013) · Blood · doi:10.1182/blood-2013-03-490003 · Cited by 592
The cost of biopharmaceutical R&D: is biotech different?
DiMasi, J. A., & Grabowski, H. G. (2007) · Managerial and Decision Economics · doi:10.1002/mde.1360 · Cited by 517
Gagnon, M.-A., & Lexchin, J. (2008) · PLoS Medicine · doi:10.1371/journal.pmed.0050001 · Cited by 502
Smith, D. C., Smith, M. R., Sweeney, C., Elfiky, A. A., Logothetis, C., Corn, P. G., Vogelzang, N. J., Small, E. J., Harzstark, A. L., Gordon, M. S., et al. (2013) · Journal of Clinical Oncology · doi:10.1200/jco.2012.45.0494 · Cited by 446
The high price of anticancer drugs: origins, implications, barriers, solutions
Prasad, V., De Jesús, K., & Mailankody, S. (2017) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2017.31 · Cited by 442
Self-citationKim, C., & Prasad, V. (2015) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2015.5868 · Cited by 354
Self-citationManagerial and Decision Economics
(2006) · Managerial and Decision Economics · doi:10.1002/(issn)1099-1468 · Cited by 320
The $2.6 Billion Pill — Methodologic and Policy Considerations
Avorn, J. (2015) · New England Journal of Medicine · doi:10.1056/nejmp1500848 · Cited by 318
Cited by
Estimated Research and Development Investment Needed to Bring a New Medicine to Market, 2009-2018
Wouters, O. J., McKee, M., & Luyten, J. (2020) · JAMA · doi:10.1001/jama.2020.1166 · Cited by 1,531
Moore, T. J., Zhang, H., Anderson, G., & Alexander, G. C. (2018) · JAMA Internal Medicine · doi:10.1001/jamainternmed.2018.3931 · Cited by 356
How much does it cost to research and develop a new drug? A systematic review and assessment
Schlander, M., Hernandez-Villafuerte, K., Cheng, C.-Y., Mestre-Ferrandiz, J., & Baumann, M. (2021) · PharmacoEconomics · doi:10.1007/s40273-021-01065-y · Cited by 360
Could 3D models of cancer enhance drug screening?
Brancato, V., Oliveira, J. M., Correlo, V. M., Reis, R. L., & Kundu, S. C. (2020) · Biomaterials · doi:10.1016/j.biomaterials.2019.119744 · Cited by 281
Tumor-on-a-chip: from bioinspired design to biomedical application
Liu, X., Fang, J., Huang, S., Wu, X., Xie, X., Wang, J., Liu, F., Zhang, M., Peng, Z., & Hu, N. (2021) · Microsystems & Nanoengineering · doi:10.1038/s41378-021-00277-8 · Cited by 246
Metadata
- Authors
- Prasad, V., & Mailankody, S.
- Venue
- JAMA Internal Medicine
- Publisher
- American Medical Association (AMA)
- Published
- 2017-11-01
- Volume
- 177
- Issue
- 11
- Pages
- 1569
- ISSN
- 2168-6106 (ISSN-L)
- OpenAlex
- W2754725540
- Cited by
- 503
- References
- 17
- FWCI
- 89.36
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Research and Development Spending to Bring a Single Cancer Drug to Market and Revenues After Approval. https://app.cochat.ai/papers/10.1001/jamainternmed.2017.3601
- The paper
- Prasad, V., & Mailankody, S. (2017). Research and Development Spending to Bring a Single Cancer Drug to Market and Revenues After Approval. JAMA Internal Medicine. https://doi.org/10.1001/jamainternmed.2017.3601
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.