Evidence map›Paper›PMID 42682083›Full record

ArticleCancer research2026

Varying Cancer Drug Doses to Balance Tumor Control and Resistance Evolution.

Amy E Pomeroy, Adam C Palmer

Abstract readComment
PubMed Publisher
In one paragraph

Article in Cancer research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Amy E PomeroyDepartment of Pharmacology, Computational Medicine Program, UNC Lineberger Comprehensive Cancer Center, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.ORCID 0000-0001-9217-3539
Adam C PalmerDepartment of Pharmacology, Computational Medicine Program, UNC Lineberger Comprehensive Cancer Center, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.ORCID 0000-0001-5028-7028

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The effectiveness of any cancer therapy depends on its dose and its treatment schedule. A potential third dimension of regimen design is whether intentional fluctuations in administered dose might improve treatment outcomes. In this issue, West and colleagues demonstrate that dose fluctuations can alter both tumor drug response and the evolution of drug resistance, in ways related to the shapes of dose-response functions. In mouse xenograft models of ALK-fusion non-small cell lung cancer treated with the ALK inhibitor alectinib, steady dosing produced the best immediate tumor response, but fluctuations in dose were better at delaying the evolution of drug resistance. Treatment schedules that switched between even and uneven dosing navigated this tradeoff, achieving comparable tumor control with steady dosing while better preserving drug sensitivity. By showing how dose-response measurements can guide when doses should remain steady or fluctuate, this work expands how cancer treatment schedules might be optimized. See related article by West et al., p. 4434.

Indexed as

Antineoplastic AgentsCarbazolesCarcinoma, Non-Small-Cell LungDrug Resistance, NeoplasmLung NeoplasmsPiperidinesAnaplastic Lymphoma KinaseAnimalsDose-Response Relationship, DrugHumansMiceProtein Kinase InhibitorsXenograft Model Antitumor AssaysalectinibAnaplastic Lymphoma KinaseAntineoplastic AgentsCarbazolesPiperidinesProtein Kinase Inhibitors

Identifiers

What OpenQuestion holds

Textmetadata
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.