Evidence map›Paper›PMID 37969061›Full record

ReviewCPT: pharmacometrics & systems pharmacology2024

Realizing the promise of Project Optimus: Challenges and emerging opportunities for dose optimization in oncology drug development.

Wei Gao, Jiang Liu, Blerta Shtylla, Karthik Venkatakrishnan, Donghua Yin, Mirat Shah, Timothy Nicholas, Yanguang Cao

Abstract readReview
In one paragraph

Review in CPT: pharmacometrics & systems pharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 pooled it
–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

33 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

8 authors.

Wei GaoQuantitative Pharmacology, EMD Serono Research & Development Institute, Inc., Billerica, Massachusetts, USA.ORCID 0009-0004-3149-8486
Jiang LiuFood and Drug Administration, Silver Spring, Maryland, USA.
Blerta ShtyllaQuantitative Systems Pharmacology, Pfizer, San Diego, California, USA.
Karthik VenkatakrishnanQuantitative Pharmacology, EMD Serono Research & Development Institute, Inc., Billerica, Massachusetts, USA.ORCID 0000-0003-4039-9813
Donghua YinClinical Pharmacology, Pfizer, San Diego, California, USA.
Mirat ShahFood and Drug Administration, Silver Spring, Maryland, USA.
Timothy NicholasPharmacometrics, Pfizer, Groton, Connecticut, USA.
Yanguang CaoDivision of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0002-3974-9073

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Project Optimus is a US Food and Drug Administration Oncology Center of Excellence initiative aimed at reforming the dose selection and optimization paradigm in oncology drug development. This project seeks to bring together pharmaceutical companies, international regulatory agencies, academic institutions, patient advocates, and other stakeholders. Although there is much promise in this initiative, there are several challenges that need to be addressed, including multidimensionality of the dose optimization problem in oncology, the heterogeneity of cancer and patients, importance of evaluating long-term tolerability beyond dose-limiting toxicities, and the lack of reliable biomarkers for long-term efficacy. Through the lens of Totality of Evidence and with the mindset of model-informed drug development, we offer insights into dose optimization by building a quantitative knowledge base integrating diverse sources of data and leveraging quantitative modeling tools to build evidence for drug dosage considering exposure, disease biology, efficacy, toxicity, and patient factors. We believe that rational dose optimization can be achieved in oncology drug development, improving patient outcomes by maximizing therapeutic benefit while minimizing toxicity.

Indexed as

Antineoplastic AgentsDrug DevelopmentNeoplasmsUnited States Food and Drug AdministrationDose-Response Relationship, DrugHumansUnited StatesAntineoplastic Agents

Identifiers

PMID37969061
PMCPMC11098159

What OpenQuestion holds

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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.