Evidence map›Paper›PMID 42518232›Full record

SynthesisJAMA network open2026

Drug Costs in Federally Sponsored Cancer Clinical Trials: A Systematic Review.

Hong Xiao, Michael L LeBlanc, Monica M Bertagnolli, Sara Ashley Threlkel, Matthew Chansky, Dawn L Hershman, Joseph M Unger

Abstract readSystematic Review
In one paragraph

Synthesis in JAMA network open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Hong XiaoPublic Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington.
Michael L LeBlancPublic Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington.
Monica M BertagnolliHarvard Kennedy School, Harvard University, Cambridge, Massachusetts.
Sara Ashley ThrelkelPublic Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington.
Matthew ChanskyPublic Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington.
Dawn L HershmanHerbert Irving Comprehensive Cancer Center, Columbia University Irving Medical Center, New York, New York.
Joseph M UngerPublic Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, Washington.

Funding

SWOG NCORP Research BaseUG1CA189974 · NCI · THE HOPE FOUNDATION · PI CHARLES D. BLANKE, DAWN HERSHMAN · 2014 to 2026
$80.6M
NCI NIH HHS UG1 CA189974
6 · The paper itself

Abstract

Importance: Federally sponsored cancer clinical trials (FS-CCTs) address research questions often overlooked by industry (eg, pharmaceutical or biotechnology companies), such as treatment combinations, rare cancers, within-class comparisons, and de-escalation strategies. However, drug costs in these trials have not been comprehensively quantified. Federal agencies typically support trial infrastructure but not drugs, necessitating cosponsorship or in-kind donations from pharmaceutical companies. These arrangements often involve complex contractual processes that may delay trial initiation. Quantifying drug-related costs is important for informing policy and optimizing federal support for cancer research. Objective: To estimate the direct purchase costs of drugs in FS-CCTs and examine cost patterns across sponsor types and therapeutic classes. Design, Setting, and Participants: This systematic review included a search of the ClinicalTrials.gov registry using a structured query to identify all US-based cancer treatment trials initiated between January 1, 2017, and December 31, 2023, that involved pharmaceutical or biological interventions and received federal sponsorship. Analyses were conducted between June 1 and September 20, 2025. Exposure: Drug or biological interventions in FS-CCTs. Main Outcomes and Measures: Wholesale acquisition cost-based trial-level total and per-patient drug costs. Between-group comparisons used Mann-Whitney and Kruskal-Wallis tests for 2- and multiple-group comparisons, respectively. Results: A total of 1378 US FS-CCTs with 140 066 participants were included in the analysis. The estimated median trial-level drug costs were $7.58 million (IQR, $2.11-$19.88 million), with substantially higher median costs for phase 3 trials ($58.92 million [IQR, $12.25-$127.17 million]) vs early phase trials ($6.90 million [IQR, $2.01-$17.70 million]) (P < .001) and for immunotherapies ($9.25 million [IQR, $3.12-$23.22 million]), targeted therapies ($6.60 million [IQR, $2.22-$18.06 million]), and combined immunotherapy and targeted therapy ($15.08 million [IQR, $6.30-$34.83 million]) compared with chemotherapy ($0.43 million [IQR, $0.11-$2.87 million]) (P < .001). Experimental agents accounted for approximately 80% of total drug costs. The median per-patient drug costs were higher in trials that were solely federally funded ($196 764 [IQR, $83 516-$414 514]) vs cosponsored trials ($149 879 [IQR, $35 329-$390 142]) (P < .001). Among 221 comparative phases 2 to 3 trials, the median experimental arm costs ($12.91 million [IQR, $3.37-$46.96 million]) were 5-fold higher than in control arms ($2.05 million [IQR, $0.16-$11.31 million]). Conclusions and Relevance: In this systematic review of FS-CCTs, drug costs were substantial, particularly in late-stage trials and those examining immunotherapies and targeted agents. High costs routinely required federally sponsored groups to seek industry support, which may have limited independence and constrained new treatment discovery. Policy innovations are needed to reduce trial drug cost burden and enable FS-CCT researchers to conduct scientifically and clinically relevant trials.

Indexed as

Antineoplastic AgentsClinical Trials as TopicDrug CostsFinancing, GovernmentNeoplasmsHumansUnited StatesAntineoplastic Agents

Identifiers

PMID42518232
PMCPMC13416910

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.