Evidence map›Paper›PMID 38591582›Full record

ArticleClinical trials (London, England)2024

Dose optimization for cancer treatments with considerations for late-onset toxicities.

Lucie Biard, Anaïs Andrillon, Rebecca B Silva, Shing M Lee

Abstract read
In one paragraph

Article in Clinical trials (London, England), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Practical Considerations for Using the TITE-BOIN Design to Handle Late-Onset Toxicity or Fast Accrual in Phase I Trials.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    Article
  4. Article
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

4 authors.

Lucie BiardINSERM U1153 Team ECSTRRA, Université Paris Cité, Paris, France.
Anaïs AndrillonINSERM U1153 Team ECSTRRA, Université Paris Cité, Paris, France.
Rebecca B SilvaDepartment of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, USA.
Shing M LeeDepartment of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY, USA.ORCID 0000-0001-8413-6869

Funding

Clinical and Translational Science AwardUL1TR001873 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI REILLY, MUREDACH P · 2016 to 2025
$99.0M
NCATS NIH HHS UL1 TR001873
6 · The paper itself

Abstract

Given that novel anticancer therapies have different toxicity profiles and mechanisms of action, it is important to reconsider the current approaches for dose selection. In an effort to move away from considering the maximum tolerated dose as the optimal dose, the Food and Drug Administration Project Optimus points to the need of incorporating long-term toxicity evaluation, given that many of these novel agents lead to late-onset or cumulative toxicities and there are no guidelines on how to handle them. Numerous methods have been proposed to handle late-onset toxicities in dose-finding clinical trials. A summary and comparison of these methods are provided. Moreover, using PI3K inhibitors as a case study, we show how late-onset toxicity can be integrated into the dose-optimization strategy using current available approaches. We illustrate a re-design of this trial to compare the approach to those that only consider early toxicity outcomes and disregard late-onset toxicities. We also provide proposals going forward for dose optimization in early development of novel anticancer agents with considerations for late-onset toxicities.

Indexed as

Antineoplastic AgentsDose-Response Relationship, DrugMaximum Tolerated DoseNeoplasmsHumansPhosphoinositide-3 Kinase InhibitorsResearch DesignAntineoplastic AgentsPhosphoinositide-3 Kinase Inhibitorscumulative toxicitiesdelayed toxicitiesdose-findingDose optimizationoncologytoxicity efficacy designs

Identifiers

PMID38591582
PMCPMC11132952

What OpenQuestion holds

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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.