Evidence map›Paper›PMID 42684524›Full record

ArticleBulletin of mathematical biology2026

Allee Effect and Oncolytic Virotherapy: Different Therapeutic Outcomes for Different Tumour Growth.

Jiawen Chen, Federico Frascoli, Tonghua Zhang

Abstract read
In one paragraph

Article in Bulletin of mathematical biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

3 authors.

Jiawen ChenDepartment of Mathematics, Swinburne University of Technology, John Street, Hawthorn, VIC, 3122, Australia.ORCID http://orcid.org/0000-0003-1960-7972
Federico FrascoliDepartment of Mathematics, Swinburne University of Technology, John Street, Hawthorn, VIC, 3122, Australia. ffrascoli@swin.edu.au.
Tonghua ZhangDepartment of Mathematics, Swinburne University of Technology, John Street, Hawthorn, VIC, 3122, Australia. tonghuazhang@swin.edu.au.ORCID http://orcid.org/0000-0003-0510-1428

Funding

Australian National Health and Medical Research Council NHMRC IDEAS 2013058Australian Research Council DP230100485China Scholarship Council No. 202206460020National Natural Science Foundation of China No. 12271308
6 · The paper itself

Abstract

Tumour recurrence after oncolytic virotherapy is a critical clinical challenge, as solid cancers tend to persist and spread after such therapies alone. Often, mathematical models consider tumour growth without taking possible cooperative cell behaviours into account. Instead, the well-known Allee effect has the ability to drive low-density tumour dynamics and affect therapeutic outcomes. For this reason, we here explore the contribution of Allee effects into two of the most common cancer growth paradigms, e.g. the logistic and the Gompertz frameworks. Our analysis reveals that density-dependent cooperation fundamentally alters virotherapy efficacy. Weak effects can enable pseudo-extinction states where tumour populations collapse to undetectable levels, whilst strong effects can interestingly create non trivial, bistable outcomes. Initial tumour burden seems to be determinant: bifurcation analysis shows scenarios where modest increase in infection or decrease in clearance rates can shift outcomes dramatically. Notably, the Gompertz model exhibits multistability under marginal Allee thresholds, pointing at a possible explanation for spontaneous remission that have been clinically observed. Overall, these findings suggest that Allee effects may be an important factor in the future to adjust dosing schedules, reduce viral loads, lower recurrence risk and shorten therapeutic times. Our framework may also offer quantitative guidance for patient-specific regimes for virotherapy and combination therapies.

Indexed as

Models, BiologicalNeoplasmsOncolytic VirotherapyAnimalsComputer SimulationHumansLogistic ModelsMathematical ConceptsNeoplasm Recurrence, LocalOncolytic VirusesTreatment OutcomeTumor BurdenAllee effectOncolytic virotherapyTherapeutic outcomesTumourTumour growth

Identifiers

PMID42684524
PMCPMC13538181

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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.