Evidence map›Paper›PMID 41502952›Full record

ArticlebioRxiv : the preprint server for biology2025

A Systematic Review of Evidence for the Cost of Therapeutic Resistance in Cancer.

Bailey Kane, Lauren Mestas, Madds Garza, Tiara Soesilo, Meghan Hufford, Harley Richker, Carlo Maley

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

7 authors.

Bailey KaneArizona Cancer Evolution Center, Arizona State University, Tempe, Arizona, USA 85287-5301.ORCID 0009-0006-1311-7322
Lauren MestasArizona Cancer Evolution Center, Arizona State University, Tempe, Arizona, USA 85287-5301.
Madds GarzaArizona Cancer Evolution Center, Arizona State University, Tempe, Arizona, USA 85287-5301.
Tiara SoesiloArizona Cancer Evolution Center, Arizona State University, Tempe, Arizona, USA 85287-5301.
Meghan HuffordArizona Cancer Evolution Center, Arizona State University, Tempe, Arizona, USA 85287-5301.
Harley RichkerArizona Cancer Evolution Center, Arizona State University, Tempe, Arizona, USA 85287-5301.ORCID 0009-0002-6064-4126
Carlo MaleyArizona Cancer Evolution Center, Arizona State University, Tempe, Arizona, USA 85287-5301.ORCID 0000-0002-0745-7076

Funding

The Role of the Microbiome in Cancer Suppression and Susceptibility Across SpeciesU54CA217376 · NCI · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI MALEY, CARLO · 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

Emergence of therapeutic resistance is a critical clinical challenge in cancer treatment, contributing to treatment failure, disease relapse, and overall poor prognosis. Adaptive therapy (AT), a resistance management strategy, aims to address this issue by selectively applying therapeutic pressure to promote competition between therapy-sensitive and therapy-resistant clones, allowing for long-term control of tumor burden. AT relies upon the assumption that resistance comes at some fitness cost in the absence of therapy. Is that assumption justified? We conducted a systematic review of the literature on experimental tests of the fitness cost of therapeutic resistance. We conducted a search for peer-reviewed papers that fulfilled the following selection criteria: (i) experiments of direct competition, (ii) between therapy-resistant and therapy-sensitive clones, (iii) in a therapy-free environment. We found 47 experiments that matched those criteria. Of those experiments, approximately two-thirds (68%) found a fitness cost to resistance in a competitive environment. Of all pooled features from the studies reviewed, we found that the resistance characteristic was most significantly associated with whether resistant clones exhibited a fitness advantage in competition (p=0.0147). Further, we identify complex ecological interactions that may influence the behavior of the cancer cell population without selection by therapeutic pressure. Predicting which resistance characteristics can be exploited therapeutically with AT and identifying potential methods of modulating the costliness of the resistant phenotype may be critical to future improvements in cancer therapy.

Identifiers

PMID41502952
PMCPMC12773004

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Registered trials

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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.