Evidence map›Paper›PMID 42865991›Full record

ArticleEvolution, medicine, and public health2026

Lessons from oncology: Can cancer lead the way in resistance management?

Silvie Huijben, Ernest Boampong, Harley Richker, Beckett Sterner, Carlo C Maley

Abstract read
In one paragraph

Article in Evolution, medicine, and public health, 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

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.

Silvie HuijbenThe Center for Evolution & Medicine, School of Life Sciences, Arizona State University, Tempe, AZ, USA.ORCID https://orcid.org/0000-0002-3537-1915
Ernest BoampongThe Center for Evolution & Medicine, School of Life Sciences, Arizona State University, Tempe, AZ, USA.
Harley RichkerThe Center for Evolution & Medicine, School of Life Sciences, Arizona State University, Tempe, AZ, USA.
Beckett SternerSchool of Life Sciences, Arizona State University, Tempe, AZ, USA.
Carlo C MaleyThe Center for Evolution & Medicine, School of Life Sciences, Arizona State University, Tempe, AZ, USA.ORCID https://orcid.org/0000-0002-0745-7076

Funding

The Role of the Microbiome in Cancer Suppression and Susceptibility Across SpeciesU54CA217376 · NCI · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI SHIBATA, DARRYL K · 2018 to 2022
$8.6M
Modeling Neoplastic Progression in Barrett's Esophagus - Renewal -2R01CA140657 · NCI · WISTAR INSTITUTE · PI Carlo Maley · 2009 to 2026
$5.0M
The Ecology of Barrett's EsophagusR01CA285517 · NCI · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI MALEY, CARLO, YUAN, YINYIN · 2025 to 2025
$3.1M
NCI NIH HHS R01 CA140657NCI NIH HHS R01 CA285517NCI NIH HHS U54 CA217376
6 · The paper itself

Abstract

The evolution of resistance to chemical interventions is a widespread challenge in medicine and agriculture, affecting bacteria, viruses, parasites, cancer, pests, and weeds. Many resistance management strategies have been proposed, but empirical comparisons are rare, especially in large-scale systems like agriculture and public health, where populations are difficult to replicate, and interventions cannot easily be tested experimentally. Cancer offers a unique opportunity to study resistance evolution. Because evolution occurs within individual patients, resistance strategies can be tested directly in clinical trials, with each patient serving as an independent replicate. Combined with diverse therapies and experimental models, this makes oncology a powerful system for studying therapeutic resistance. Whether insights from cancer apply to other systems remains an open but testable question. Addressing this could reveal general principles of resistance evolution and help unify currently fragmented approaches to resistance management across disciplines.

Indexed as

agriculturecancerdrug resistancepublic healthresistance evolutionresistance management

Identifiers

PMID42865991
PMCPMC13656319

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.