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Enregistrement W4416794021 · doi:10.1093/emph/eoaf035

Harnessing the extinction vortex against acute lymphoblastic leukemia

2025· article· en· W4416794021 sur OpenAlexaff
Peng Chen, S B Murphy, Huiqing Yeo, Megan Serr, Joel S. Brown

Notice bibliographique

RevueEvolution Medicine and Public Health · 2025
Typearticle
Langueen
DomaineMedicine
ThématiqueAcute Lymphoblastic Leukemia research
Établissements canadiensUniversity of Calgary
Organismes subventionnairesnon disponible
Mots-clésLymphoblastic LeukemiaExtinction (optical mineralogy)VortexLeukemia

Résumé

récupéré en direct d'OpenAlex

Acute lymphoblastic leukemia (ALL) is the most common pediatric cancer, accounting for |$\sim $|25% of childhood cancers worldwide [1]. Current treatment employs a 4–6 week induction combination therapy, resulting in a complete remission in 95% of patients [2]. This is followed by several months of consolidation/intensification using sequences of chemotherapy agents, targeted therapies, and/or immunotherapies tailored to the ALL subtype, and concludes with lower dose maintenance therapy for 2–3 years [3]. Since the 1990s [4], the induction and consolidation phases have typically included multiple combinations of therapeutic agents that are switched up after a few weeks or months [3]. The multiphase approach for ALL treatment provides an example of a successful evolution-informed extinction therapy, though not always described in these terms [5, 6]. Outcomes were once poor (long-term remission or cure <10% during 1962–1966) but improved decade by decade to >90% by 2000–2017 (St. Jude therapy studies; Fig. 1 in [3]). This success reflects not only the development of new agents but also the strategy of switching therapies frequently before drug resistance can evolve; simultaneous multi-agent therapy further slows resistance. This is the essence of extinction therapy: apply a set of diverse therapies so a “first strike” (induction) drives a partial or complete response. Then, before resistance can emerge and the cancer rebounds, apply sequences of “second strikes” (consolidation/intensification) that continue to fragment, homogenize, and eliminate small residual cancer cell populations. Each second-strike combination is used long enough to permit efficacy, but not so long as to allow resistance to evolve. Conceptual depiction of the extinction vortex in ALL treatment, where (Left) induction, consolidation, and maintenance phases impose successive selective pressures that progressively shrink the leukemic population, deplete genetic diversity, and spiral tumor cells into an extinction vortex, and (Right) tumor-burden curves show that single-agent chemotherapy often permits relapse while strategically timed, multi-agent extinction therapy can sustain pressure and achieves tumor eradication. Extinction therapy draws inspiration from ecological and evolutionary frameworks for preventing species extinctions. The “extinction vortex” [7, 8] describes how the extinction of a species usually entails not just one stressor, such as habitat loss (a first strike), but sequential or tandem additional stressors such as hunting, competition from other species, introduction of invasive species, or loss of genetic diversity (second strikes). This understanding of species extinctions can be flipped to assist in curing what currently are otherwise incurable cancers due to the evolution of drug resistance. An extinction therapy employs sequential and diverse therapies thus subjecting the cancer cells to an array of selection pressures without leaving time for resistance to evolve. These strikes maintain reductions in cancer cell survival and proliferation. As the cancer cell population becomes fragmented, genetic diversity declines due to the loss of alleles and genetic drift. Allee effects may further compromise the fitness of cancer cells in small populations [9]. Together, these processes reduce the ability of the remaining cells to evolve resistance and withstand subsequent stressors. Treatment of ALL shows a direct connection with the evolutionary and ecological processes underlying the extinction vortex and preventing evolutionary rescue. The first strike drugs (induction phase) often combine cytotoxicity (e.g. Doxorubicin) with mitotic dysregulation of rapidly dividing cells (e.g. Vincristine). Upon remission, second strikes (consolidation/intensification phase) include drugs with different and diverse modes of action, such as Cyclophosphamide (alkylating agent), Methotrexate (inhibitor of purine and pyrimidine synthesis), Etoposide (topoisomerase poison), and others. Continued second strikes (maintenance therapy) maintain selective pressure through lower intensity cytotoxic agents and may add additional modes of action, such as immunotherapy or tyrosine kinase inhibitors, or return to prior drugs such as Vincristine where drug desensitization may have occurred. Standard of care for many incurable cancers generally follows a different treatment strategy. First-line therapies are not switched until there is measurable disease progression or unacceptable toxicities. With such care, the tumor burden over time tends to follow a U-shaped dynamic where the tumor burden first falls, has a period of remission or stable disease, and then a rise with the evolution of resistance. With extinction therapy, first-line treatment is used as a first strike and, upon a complete response, is immediately switched to second-strike therapies. Under a partial response, another first-strike drug may be used at or before the nadir of tumor burden. This follow-up first strike aims to achieve to no evidence of disease (NED), setting up the subsequent phase of second-strike therapy. Often guided by mathematical models of cancer dynamics, extinction therapy anticipates resistance and aims to prevent it by proactively switching therapies at critical time points when the tumor population is most vulnerable. This strategy ensures continuous therapeutic pressure, repeatedly diminishing the cancerous population’s adaptability and resilience. Consequently, this approach potentially increases the odds of complete tumor eradication while simultaneously minimizing the cumulative drug exposure and associated toxicities. ALL, with its established multiphasic treatment framework and robust monitoring capabilities, represents an ideal candidate for validating the clinical potential of extinction therapy. Extinction therapies hold promise for solid tumors, using blood biomarkers, circulating tumor DNA, and imaging data to guide personalized treatment strategies in real-time. There are presently three non-randomized clinical trials of extinction therapy on pediatric rhabdomyosarcoma (NCT04388839), hormone positive metastatic breast cancer (NCT06409390), and high-risk metastatic castration-sensitive prostate cancer (NCT05189457) [10]. Similar first- and second-strike approaches have been proposed for metastatic Ewing and bone sarcomas (NCT07194044) [11, 12]. This clinical brief was developed as part of the 2025 Evolutionary Medicine Summer Institute on “Overcoming Resistance: Harnessing Evolution to Control Cancer, Infectious Diseases, and Pests.” We are grateful to the EMSI organizers for fostering a productive, collaborative environment. We thank Damon Reed and Fred Thomas for their helpful reviews and insightful comments. Peng Chen (Conceptualization-Equal, Visualization-Lead, Writing—original draft-Equal, Writing—review & editing-Equal), Sydney Murphy (Conceptualization-Equal, Visualization-Equal, Writing—original draft-Equal, Writing—review & editing-Equal), Huiqing Yeo (Conceptualization-Equal, Visualization-Equal, Writing— original draft-Equal, Writing—review & editing-Equal), Megan Serr (Conceptualization-Equal, Writing— review & editing-Equal), Joel Brown (Conceptualization-Equal, Writing—original draft-Equal, Writing—review & editing-Equal)

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,004
score de la tête « metaresearch » (Gemma)0,008
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,006
Score d'incertitude au seuil0,019

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,008
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0010,003
Communication savante0,0030,003
Science ouverte0,0010,004
Intégrité de la recherche0,0010,004
Charge utile insuffisante (le modèle a refusé de juger)0,0060,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,030
Tête enseignante GPT0,332
Écart entre enseignants0,302 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeThéorique ou conceptuel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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