Evidence map›Paper›PMID 36448689›Full record

ArticleJournal of the National Cancer Institute2023

Design and reporting of phase III oncology trials with prospective biomarker validation.

Fei Liang, Ling Peng, Zhengyu Wu, Georgios Giamas, Justin Stebbing

Abstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. AI-based augmentation of oncology clinical trials.Nature reviews. Clinical oncology · 2026
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Fei LiangDepartment of Biostatistics, Zhongshan Hospital, Fudan University, Shanghai, China.ORCID 0000-0002-4184-7844
Ling PengDepartment of Respiratory Disease, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang, China.
Zhengyu WuDepartment of Biostatistics, School of Public Health, Key Laboratory of Public Health Safety and Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, Shanghai, China.
Georgios GiamasDepartment of Biochemistry and Biomedicine, School of Life Sciences, University of Sussex, Brighton, UK.
Justin StebbingDivision of Cancer, Department of Surgery and Cancer, Imperial College London, London, UK.ORCID 0000-0002-1117-6947

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPhase III trials with prospective biomarker validation are essential to drug development in the era of personalized oncology. However, concerns have emerged regarding the design and reporting of phase III trials with prospective biomarker validation.

methodsWe searched MEDLINE for phase III oncology trials with prospective biomarker validation published in high-impact medical journals from 2011 to 2020. Information regarding trial design and reporting were extracted. Descriptive methods were used to summarize the results.

resultsWe identified 45 phase III trials with prospective biomarker validation. There was a trend for increasing use of biomarker validation phase III trials (from 1 trial in 2011 to 12 trials in 2020). For 39 (86.7%) trials, results in biomarker-negative population were either listed as an exploratory subgroup analysis (62.2%) or not mentioned in the methods (24.4%). Twenty-one (46.7%) trials were originally designed without biomarker validation but were then apparently modified to incorporate prospective biomarker validation after trial commencement, albeit only 15 (33.3%) trials reported this change. Treatment effect and primary outcome values in biomarker-negative patients were not reported in 24.4% and 40.0% trials, respectively. For 18 trials with statistically significant results in the overall population, only 7 trials reported a hazard ratio less than 0.8 in the biomarker-negative population.

conclusionsAlthough biomarker validation in phase III trials have been increasingly used in the past decade, issues regarding changes in trial design after commencement without disclosure, underreporting of results in biomarker-negative groups, and recommending treatment in biomarker negative groups despite modest effects require substantial improvement.

Indexed as

NeoplasmsBiomarkersClinical Trials, Phase II as TopicDisclosureDrug DevelopmentHumansMedical OncologyBiomarkers

Identifiers

PMID36448689
PMCPMC9905966

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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.