Evidence map›Paper›PMID 40998270›Full record

ArticleInternational journal of radiation oncology, biology, physics2026

Evolutionary Double-Bind Treatment Using Radiation Therapy and Natural Killer Cell-Based Immunotherapy in Prostate Cancer.

Kimberly A Luddy, Jeffrey West, Mark Robertson-Tessi, Bina Desai, Andrew Ojeda, Hannah Newman, Veronica Estrella, Taylor M Bursell, Sarah Barrett, Jacintha O'Sullivan and 5 more

Abstract read
In one paragraph

Article in International journal of radiation oncology, biology, physics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. The logarithmic phase as a therapeutic direction: evaluating pharmacological strategies against cancer progression.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Review
  2. Cancer Evolvability Determines Therapy Outcomes.bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Cancer, collapse, and the politics of somatic evolution.Evolution, medicine, and public health · 2026
    Review
  5. 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

15 authors.

Kimberly A LuddyDepartment of Cancer Biology and Evolution, Moffitt Cancer Center, Tampa, Florida. Electronic address: Kimberly.Luddy@Moffitt.org.
Jeffrey WestIntegrated Mathematical Oncology Department, Moffitt Cancer Center, Tampa, Florida. Electronic address: Jeffrey.West@Moffitt.org.
Mark Robertson-TessiIntegrated Mathematical Oncology Department, Moffitt Cancer Center, Tampa, Florida.
Bina DesaiDepartment of Cancer Biology and Evolution, Moffitt Cancer Center, Tampa, Florida.
Andrew OjedaDepartment of Cancer Biology and Evolution, Moffitt Cancer Center, Tampa, Florida.
Hannah NewmanDepartment of Cancer Biology and Evolution, Moffitt Cancer Center, Tampa, Florida.
Veronica EstrellaDepartment of Cancer Biology and Evolution, Moffitt Cancer Center, Tampa, Florida.
Taylor M BursellDepartment of Cancer Biology and Evolution, Moffitt Cancer Center, Tampa, Florida.
Sarah BarrettTrinity St. James's Cancer Institute, Radiobiology and Molecular Oncology Research Group, Applied Radiation Therapy Trinity, Discipline of Radiation Therapy, Trinity College Dublin, Dublin, Ireland.
Jacintha O'SullivanSchool of Biochemistry and Immunology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland.
Laure MarignolTrinity St. James's Cancer Institute, Radiobiology and Molecular Oncology Research Group, Applied Radiation Therapy Trinity, Discipline of Radiation Therapy, Trinity College Dublin, Dublin, Ireland.
Robert A GatenbyDepartment of Cancer Biology and Evolution, Moffitt Cancer Center, Tampa, Florida.
Joel S BrownDepartment of Cancer Biology and Evolution, Moffitt Cancer Center, Tampa, Florida.
Alexander R A AndersonIntegrated Mathematical Oncology Department, Moffitt Cancer Center, Tampa, Florida. Electronic address: Alexander.Anderson@Moffitt.org.
Cliona O'FarrellySchool of Biochemistry and Immunology, Trinity Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland.

Funding

"Research Supplement to Promote Diversity in Health-Related Research", as part of Moffitt PS-OC, "Cancer as a Complex adaptive System"U54CA193489 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI ANDERSON, ALEXANDER ROBERTSON ALLAN, GATENBY, ROBERT A · 2015 to 2020
$12.5M
The Delta Ecology of NSCLC TreatmentU54CA274507 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI Alexander Robertson Allan Anderson, ROBERT A GATENBY · 2023 to 2026
$9.4M
Eco-Evolutionary dynamics of NSCLC to immunotherapy: Response and ResistanceU01CA232382 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI ANDERSON, ALEXANDER ROBERTSON ALLAN, ANTONIA, SCOTT J. · 2018 to 2022
$3.3M
NCI NIH HHS U01 CA232382NCI NIH HHS U54 CA193489NCI NIH HHS U54 CA274507
6 · The paper itself

Abstract

purposeEvolution-informed therapies exploit evolutionary consequences of drug resistance to inhibit treatment resistance and prolong time to progression. One strategy, termed an evolutionary double-bind, uses an initial therapy to elicit a specific adaptive response by cancer cells, which is then selectively targeted by a follow-on therapy. Although the concept of an evolutionary double-bind has long been hypothesized in cancer, it has not been measured. Here, to our knowledge, we present the first example of a quantifiable double-bind: radiation therapy (RT) with natural killer (NK) cells. RT induces lethal double-strand DNA breaks, but cancer cells adapt. Although this increases resistance to DNA-damaging agents, it also enhances expression of NK cell ligands creating an obvious choice for a double-bind strategy. METHODS AND MATERIALS: We investigated this potential evolutionary double-bind through in vitro studies and evolution-based mathematical models. Using multiple prostate cancer cell lines, we evaluated surface and soluble NK ligand expression following RT. In vitro competition experiments were performed with an isogenic radiation-resistant cell line model. We introduced a two-population Lotka-Volterra competition model, consisting of radiation-sensitive and radiation-resistant populations modeling intrinsic growth rates with fixed carrying capacity and inter-specific competition terms.

resultsAlterations in NK cell ligands resulted in a twofold increase in sensitivity to NK cell-mediated killing with selective targeting of RT-resistant cells. These dynamics were framed mathematically to quantify the double bind. RT alone slowed overall growth but strongly selected for RT-resistant cells. NK cell therapy alone suppressed the RT-resistant population, but with a surviving population of radiation-sensitive cells. Model simulation predicted that optimal tumor control would be achieved through initial RT followed by NK cells. Subsequent experiments confirmed the model prediction.

conclusionsWe conclude that RT and NK cell-based immunotherapy produce an evolutionary double-bind. This multidimensional approach addresses the immediate challenge of treatment resistance and lays the groundwork for the development of personalized treatment regimens tailored to the evolving dynamics of individual tumors. SIGNIFICANCE: Clinical experience demonstrates that prostate cancer has a remarkable capacity to evolve resistance to all currently available treatments resulting in progression and, ultimately, patient death. Resistance mechanisms often come at a fitness cost placing cells in a bind when competing with surrounding cells. A carefully chosen secondary drug can introduce a double-bind targeting the adaptive resistance mechanism. This manuscript provides the first direct experimental evidence quantifying an "evolutionary double-bind' in prostate cancer supporting the combination of DNA-damaging agents and NK cell-based immunotherapy in evolutionarily guided treatment designs. Our work is mathematically novel in that it extends Evolutionary Game Theory models and establishes an experimental-mathematical framework to quantify genuine evolutionary double binds applicable across cancer types and treatment modalities.

Indexed as

ImmunotherapyKiller Cells, NaturalProstatic NeoplasmsCell Line, TumorDNA Breaks, Double-StrandedDrug Resistance, NeoplasmHumansMaleRadiation Tolerance

Identifiers

PMID40998270
PMCPMC12908384

What OpenQuestion holds

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LicenceCC BY
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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.