Evidence map›Paper›PMID 33290430›Full record

ArticlePloS one2020

Optimal control to reach eco-evolutionary stability in metastatic castrate-resistant prostate cancer.

Jessica Cunningham, Frank Thuijsman, Ralf Peeters, Yannick Viossat, Joel Brown, Robert Gatenby, Kateřina Staňková

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Cancer, collapse, and the politics of somatic evolution.Evolution, medicine, and public health · 2026
    Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Threshold-awareness in adaptive cancer therapy.PLoS computational biology · 2024
    Article
  15. Review
  16. Article
  17. Article
  18. Synthetic living materials in cancer biology.Nature reviews bioengineering · 2023
    Article
  19. Evolutionary Dynamics and Intermittent Therapy for Metastatic Cancers.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2023
    Article
  20. Article
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.

Jessica CunninghamDepartment of Integrated Mathematical Oncology, Moffitt Cancer Center & Research Institute, Tampa, Florida, United States of America.ORCID 0000-0001-8704-8848
Frank ThuijsmanDepartment of Data Science and Knowledge Engineering, Maastricht University, Maastricht, The Netherlands.
Ralf PeetersDepartment of Data Science and Knowledge Engineering, Maastricht University, Maastricht, The Netherlands.ORCID 0000-0002-9973-8181
Yannick ViossatCEREMADE, Université Paris-Dauphine, Université PSL, Paris, France.
Joel BrownDepartment of Integrated Mathematical Oncology, Moffitt Cancer Center & Research Institute, Tampa, Florida, United States of America.
Robert GatenbyDepartment of Integrated Mathematical Oncology, Moffitt Cancer Center & Research Institute, Tampa, Florida, United States of America.
Kateřina StaňkováDepartment of Data Science and Knowledge Engineering, Maastricht University, Maastricht, The Netherlands.ORCID 0000-0002-4519-0325

Funding

The Physi(ologi)cal Microenvironment and its Role in Tumor Invasion and MetastaseU54CA143970 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI GATENBY, ROBERT A · 2009 to 2014
$9.3M
Application of Evolutionary Principles to Maintain Cancer Control (PQ21)R01CA170595 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI GATENBY, ROBERT A · 2012 to 2015
$2.1M
NCI NIH HHS R01 CA170595NCI NIH HHS U54 CA143970
6 · The paper itself

Abstract

In the absence of curative therapies, treatment of metastatic castrate-resistant prostate cancer (mCRPC) using currently available drugs can be improved by integrating evolutionary principles that govern proliferation of resistant subpopulations into current treatment protocols. Here we develop what is coined as an 'evolutionary stable therapy', within the context of the mathematical model that has been used to inform the first adaptive therapy clinical trial of mCRPC. The objective of this therapy is to maintain a stable polymorphic tumor heterogeneity of sensitive and resistant cells to therapy in order to prolong treatment efficacy and progression free survival. Optimal control analysis shows that an increasing dose titration protocol, a very common clinical dosing process, can achieve tumor stabilization for a wide range of potential initial tumor compositions and volumes. Furthermore, larger tumor volumes may counter intuitively be more likely to be stabilized if sensitive cells dominate the tumor composition at time of initial treatment, suggesting a delay of initial treatment could prove beneficial. While it remains uncertain if metastatic disease in humans has the properties that allow it to be truly stabilized, the benefits of a dose titration protocol warrant additional pre-clinical and clinical investigations.

Indexed as

AndrostenesCell ProliferationDisease ProgressionDocetaxelDrug Resistance, NeoplasmHumansKaplan-Meier EstimateMaleModels, TheoreticalNeoplasm MetastasisProgression-Free SurvivalProstate-Specific AntigenProstatic Neoplasms, Castration-ResistantTreatment OutcomeTumor BurdenAndrostenesDocetaxelProstate-Specific Antigen

Identifiers

PMID33290430
PMCPMC7723267

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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.