Evidence map›Paper›PMID 40299825›Full record

ArticleCancer research2025

Adaptive Therapy Exploits Fitness Deficits in Chemotherapy-Resistant Ovarian Cancer to Achieve Long-Term Tumor Control.

Helen Hockings, Eszter Lakatos, Weini Huang, Maximilian Mossner, Mohammed A Khan, Nikolina Bakali, Jacqueline McDermott, Kane Smith, Ann-Marie Baker, Trevor A Graham and 1 more

Abstract read
In one paragraph

Article in Cancer research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Hazard curvature makes within-host variability costly for survival.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Adaptive therapy and its challenges.Evolution, medicine, and public health · 2026
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Generative AI - Assisted Adaptive Cancer Therapy.Cancer control : journal of the Moffitt Cancer Center
    Review
  19. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Helen HockingsCentre for Cancer Cell and Molecular Biology, Barts Cancer Institute, Queen Mary University of London, London, United Kingdom.ORCID 0000-0003-4509-6387
Eszter LakatosCentre for Cancer Evolution, Barts Cancer Institute, Queen Mary University of London, London, United Kingdom.ORCID 0000-0002-7221-6850
Weini HuangSchool of Mathematical Sciences, Queen Mary University of London, London, United Kingdom.ORCID 0000-0002-9016-2665
Maximilian MossnerCentre for Cancer Evolution, Barts Cancer Institute, Queen Mary University of London, London, United Kingdom.ORCID 0000-0001-9751-3803
Mohammed A KhanCentre for Cancer Evolution, Barts Cancer Institute, Queen Mary University of London, London, United Kingdom.ORCID 0000-0001-9473-8679
Nikolina BakaliCentre for Cancer Evolution, Barts Cancer Institute, Queen Mary University of London, London, United Kingdom.ORCID 0009-0000-3006-5217
Jacqueline McDermottPathology Department, Barts Health NHS Trust, London, United Kingdom.ORCID 0000-0001-8052-7133
Kane SmithCentre for Cancer Evolution, Barts Cancer Institute, Queen Mary University of London, London, United Kingdom.ORCID 0000-0002-8661-7401
Ann-Marie BakerCentre for Cancer Evolution, Barts Cancer Institute, Queen Mary University of London, London, United Kingdom.ORCID 0000-0001-8905-9137
Trevor A GrahamCentre for Cancer Evolution, Barts Cancer Institute, Queen Mary University of London, London, United Kingdom.ORCID 0000-0001-9582-1597
Michelle LockleyCentre for Cancer Evolution, Barts Cancer Institute, Queen Mary University of London, London, United Kingdom.ORCID 0000-0002-9281-5789

Funding

The Role of the Microbiome in Cancer Suppression and Susceptibility Across SpeciesU54CA217376 · NCI · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI MALEY, CARLO, SHIBATA, DARRYL K · 2018 to 2022
$8.6M
Barts Charity MGU0598Bowel Cancer UK (BCUK)Cancer Research UK (CRUK)Cancer Research UK (CRUK) A19771Cancer Research UK (CRUK) C41405/A19694Cancer Research UK (CRUK) DRCNPG-Cancer Research UK (CRUK) May21\100001National Cancer Institute (NCI) NCI U54 CA217376NCI NIH HHS U54 CA217376Wellcome TrustWellcome Trust (WT) 202778/Z/16/Z
6 · The paper itself

Abstract

Drug resistance results in poor outcomes for patients with cancer. Adaptive therapy is a potential strategy to address drug resistance that exploits competitive interactions between sensitive and resistant subclones. In this study, we showed that adapting carboplatin dose according to tumor response (adaptive therapy) significantly prolonged survival of murine ovarian cancer models compared with standard carboplatin dosing, without increasing mean daily drug dose or toxicity. Platinum-resistant ovarian cancer cells exhibited diminished fitness when drug was absent in vitro and in vivo, which caused selective decline of resistant populations due to reduced proliferation and increased apoptosis. Conversely, fitter, sensitive cells regrew when drug was withdrawn. Using a bioinformatics pipeline that exploits copy number changes to quantify the emergence of treatment resistance, analysis of cell-free DNA obtained longitudinally from patients with ovarian cancer during treatment showed subclonal selection through therapy, and measurements of resistant population growth correlated strongly with disease burden. These preclinical findings pave the way for future clinical testing of personalized adaptive therapy regimens tailored to the evolution of carboplatin resistance in individual patients with ovarian cancer. SIGNIFICANCE: Carboplatin adaptive therapy improves treatment efficacy without increasing daily dose due to reduced fitness of drug-resistant populations, which can be tracked using cfDNA and could direct adaptive therapy in future clinical trials. See related commentary by Gatenby, p. 3373.

Indexed as

Antineoplastic AgentsCarboplatinDrug Resistance, NeoplasmOvarian NeoplasmsAnimalsApoptosisCell Line, TumorCell ProliferationDose-Response Relationship, DrugFemaleHumansMiceMice, NudeXenograft Model Antitumor AssaysAntineoplastic AgentsCarboplatin

Identifiers

PMID40299825
PMCPMC12434395

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.