Evidence map›Paper›PMID 42257532›Full record

ArticleClinical and translational science2026

Tumor-Specific Success Probabilities and Factors Associated With Phase III Trials in Oncology Drug Development.

Keiko Yamamoto, Aya Iwase, Hideki Maeda

Abstract read
In one paragraph

Article in Clinical and translational science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

3 authors.

Keiko YamamotoRegulatory Science, Graduate School of Pharmaceutical Sciences, Meiji Pharmaceutical University, Tokyo, Japan.ORCID 0009-0007-0706-3556
Aya IwaseRegulatory Science, Graduate School of Pharmaceutical Sciences, Meiji Pharmaceutical University, Tokyo, Japan.
Hideki MaedaRegulatory Science, Graduate School of Pharmaceutical Sciences, Meiji Pharmaceutical University, Tokyo, Japan.ORCID 0000-0002-0117-3961

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Despite advances in novel therapeutic modalities, such as molecularly targeted agents and immunotherapies, the probability of success in Phase III oncology trials remains low. This study quantitatively characterized success probabilities of Phase III trials in oncology drug development and evaluated the factors associated with trial success. Phase III interventional oncology drug trials registered at ClinicalTrials.gov between 2007 and 2023 with publicly available primary endpoint results were included. Trial success was defined as the achievement of at least one primary endpoint, and tumor-specific success probabilities were calculated. Multivariable logistic regression analyses were conducted to assess the association between trial success and key trial characteristics. We analyzed 824 trials (358 successful and 466 unsuccessful). Overall success probabilities were comparable between solid tumors and hematologic malignancies, although substantial heterogeneity was observed across solid tumors, with particularly low success probabilities for central nervous system tumors and pancreatic cancer. Multivariable analyses showed that biomarker-based patient selection, more recently initiated trials, line of therapy, and the number of primary endpoints were associated with trial success. Trials evaluating molecularly targeted therapies and those with short-term evaluable endpoints showed higher success probabilities, whereas trials evaluating chemotherapy or assessing overall or event-free survival endpoints showed lower success probabilities. Phase III trial success in oncology is associated with tumor-specific characteristics and development-stage factors, including biomarker-based patient selection and trial design. These results provide quantitative evidence to inform decision-making and trial design in oncology drug development.

Indexed as

Antineoplastic AgentsClinical Trials, Phase III as TopicDrug DevelopmentNeoplasmsBiomarkers, TumorEndpoint DeterminationHumansMolecular Targeted TherapyPatient SelectionProbabilityTreatment OutcomeAntineoplastic AgentsBiomarkers, Tumorbiomarker‐based patient selectionclinical trial designoncology drug developmentphase III clinical trialstrial success probability

Identifiers

PMID42257532
PMCPMC13244666

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Registered trials

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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.