Evidence map›Paper›PMID 33899934›Full record

ReviewClinical pharmacology and therapeutics2021

Model-Informed Therapeutic Dose Optimization Strategies for Antibody-Drug Conjugates in Oncology: What Can We Learn From US Food and Drug Administration-Approved Antibody-Drug Conjugates?

Michael Z Liao, Dan Lu, Matts Kågedal, Dale Miles, Divya Samineni, Stephanie N Liu, Chunze Li

Open access · hybridAbstract readReview
In one paragraph

Review in Clinical pharmacology and therapeutics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
4.2field-weighted citation impact, top 4% 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

39 citing papers in PubMed, 65 citations in OpenAlex.

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  15. Improving the Dosing Schedules of Targeted Anticancer Agents.Pharmaceuticals (Basel, Switzerland) · 2025
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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

7 authors.

Michael Z LiaoGenentech Inc., South San Francisco, California, USA.
Dan LuGenentech Inc., South San Francisco, California, USA.
Matts KågedalGenentech Inc., South San Francisco, California, USA.
Dale MilesGenentech Inc., South San Francisco, California, USA.
Divya SamineniGenentech Inc., South San Francisco, California, USA.
Stephanie N LiuGenentech Inc., South San Francisco, California, USA.
Chunze LiGenentech Inc., South San Francisco, California, USA.

Funding

F. Hoffman-La Roche, Ltd
6 · The paper itself

Abstract

Antibody-drug conjugates (ADCs) combine the specificity of an antibody with the cytotoxicity of a chemical agent. They represent a rapidly evolving area of oncology drug development and hold significant promise. There are currently nine ADCs on the market, more than half of which gained US Food and Drug Administration approval more recently, since 2019. Despite their enormous promise, the therapeutic window for these ADCs remains relatively narrow, especially when compared with other oncology drugs, such as targeted therapies or checkpoint inhibitors. In this review, we provide a detailed overview of the five dosing regimen optimization strategies that have been leveraged to broaden the therapeutic window by mitigating the safety risks while maintaining efficacy. These include body weight cap dosing; treatment duration capping; dose schedule (e.g., dosing frequency and dose fractionation); response-guided dosing recommendations; and randomized dose-finding. We then discuss how the lessons learned from these studies can inform ADC development going forward. Informed application of these dosing strategies should allow researchers to maximize the safety and efficacy for next-generation ADCs.

Indexed as

Models, BiologicalUnited States Food and Drug AdministrationAntineoplastic AgentsClinical Trials as TopicDose-Response Relationship, DrugDrug ApprovalHumansImmunoconjugatesNeoplasmsUnited StatesAntineoplastic AgentsImmunoconjugates

Identifiers

PMID33899934
PMCPMC8596428
OpenAlexW3159031217

What OpenQuestion holds

Textmetadata
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.