Evidence map›Paper›PMID 33441097›Full record

SynthesisBMC cancer2021

Optimal biological dose: a systematic review in cancer phase I clinical trials.

J Fraisse, D Dinart, D Tosi, C Bellera, C Mollevi

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in BMC cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
6.2field-weighted citation impact, top 3% of its field
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

28 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
  2. Generalized Pairwise Comparisons in Dose Optimization Oncology Trials: Beyond Safety to Multi-outcome Dose Selection.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Article
  3. Review
  4. Review
  5. Article
  6. Observational
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Clinical Pharmacology of Cytokine Release Syndrome with T-Cell-Engaging Bispecific Antibodies: Current Insights and Drug Development Strategies.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Dose-limiting mucositis: friend or foe?Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2023
    Article
  20. Combination Early-Phase Trials of Anticancer Agents in Children and Adolescents.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2023
    Review
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

5 authors at 2 institutions in 1 country.

J FraisseUnité de Biométrie, Institut du Cancer Montpellier (ICM), Université de Montpellier, 208 rue des Apothicaire, 34298, Montpellier Cedex 5, France.
D DinartInserm CIC1401, Module Epidémiologie clinique, Institut Bergonié, Bordeaux, France.
D TosiUnité de Biométrie, Institut du Cancer Montpellier (ICM), Université de Montpellier, 208 rue des Apothicaire, 34298, Montpellier Cedex 5, France.
C BelleraInserm CIC1401, Module Epidémiologie clinique, Institut Bergonié, Bordeaux, France.
C MolleviUnité de Biométrie, Institut du Cancer Montpellier (ICM), Université de Montpellier, 208 rue des Apothicaire, 34298, Montpellier Cedex 5, France. Caroline.Mollevi@icm.unicancer.fr.ORCID http://orcid.org/0000-0003-4827-3684
Inserm · FRUniversité de Montpellier · FR

Funding

Institut National Du Cancer SHS-ESP 2015-164
6 · The paper itself

Abstract

backgroundClassical phase 1 dose-finding designs based on a single toxicity endpoint to assess the maximum tolerated dose were initially developed in the context of cytotoxic drugs. With the emergence of molecular targeted agents and immunotherapies, the concept of optimal biological dose (OBD) was subsequently introduced to account for efficacy in addition to toxicity. The objective was therefore to provide an overview of published phase 1 cancer clinical trials relying on the concept of OBD.

methodsWe performed a systematic review through a computerized search of the MEDLINE database to identify early phase cancer clinical trials that relied on OBD. Relevant publications were selected based on a two-step process by two independent readers. Relevant information (phase, type of therapeutic agents, objectives, endpoints and dose-finding design) were collected.

resultsWe retrieved 37 articles. OBD was clearly mentioned as a trial objective (primary or secondary) for 22 articles and was traditionally defined as the smallest dose maximizing an efficacy criterion such as biological target: biological response, immune cells count for immunotherapies, or biological cell count for targeted therapies. Most trials considered a binary toxicity endpoint defined in terms of the proportion of patients who experienced a dose-limiting toxicity. Only two articles relied on an adaptive dose escalation design.

conclusionsIn practice, OBD should be a primary objective for the assessment of the recommended phase 2 dose (RP2D) for a targeted therapy or immunotherapy phase I cancer trial. Dose escalation designs have to be adapted accordingly to account for both efficacy and toxicity.

Indexed as

AdultAgedAged, 80 and overAntineoplastic Combined Chemotherapy ProtocolsBiomarkers, TumorCase-Control StudiesCombined Modality TherapyFemaleFollow-Up StudiesGene Expression Regulation, NeoplasticHumansLymphatic MetastasisMaleMiddle AgedNeoplasm InvasivenessNeoplasm Recurrence, LocalBiomarkers, TumorCancerDose finding studyOptimal biological dosePhase 1 clinical trial

Identifiers

PMID33441097
PMCPMC7805102
OpenAlexW3120325488

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.