Evidence map›Paper›PMID 39287223›Full record

ArticleMathematical medicine and biology : a journal of the IMA2025

Oscillations in a tumor-immune system interaction model with immune response delay.

Zhaoxuan Huo, Jicai Huang, Yang Kuang, Shigui Ruan, Yuyue Zhang

Abstract read
In one paragraph

Article in Mathematical medicine and biology : a journal of the IMA, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

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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

5 authors.

Zhaoxuan HuoSchool of Mathematics and Statistics, Central China Normal University, Wuhan, Hubei 430079, P. R. China.
Jicai HuangSchool of Mathematics and Statistics, Central China Normal University, Wuhan, Hubei 430079, P. R. China.
Yang KuangSchool of Mathematical and Statistical Sciences, Arizona State University, Tempe, AZ 85287, USA.
Shigui RuanDepartment of Mathematics, University of Miami, Coral Gables, FL 33146, USA.
Yuyue ZhangSchool of Mathematics, Southwestern University of Finance and Economics, Chengdu, Sichuan 611130, P. R. China.

Funding

Predictive Modeling of Pattern Formation Driven by Synthetic Gene NetworksR01GM131405 · NIGMS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI KUANG, YANG · 2018 to 2021
$1.5M
National Natural Science Foundation of China 11871235National Science Foundation DEB-1930728National Science Foundation DMS-1615879NIGMS NIH HHS R01 GM131405NIH HHS 5R01GM131405-02
6 · The paper itself

Abstract

In this paper we consider a tumor-immune system interaction model with immune response delay, in which a nonmonotonic function is used to describe immune response to the tumor burden and a time delay is used to represent the time for the immune system to respond and take effect. It is shown that the model may have one, two or three tumor equilibria, respectively, under different conditions. Time delay can only affect the stability of the low tumor equilibrium, and local Hopf bifurcation occurs when the time delay passes through a critical value. The direction and stability of the bifurcating periodic solutions are also determined. Moreover, the global existence of periodic solutions is established by using a global Hopf bifurcation theorem. We also observe the existence of relaxation oscillations and complex oscillating patterns driven by the time delay. Numerical simulations are presented to illustrate the theoretical results.

Indexed as

Immune SystemModels, ImmunologicalNeoplasmsComputer SimulationHumansMathematical ConceptsTime Factorsglobal Hopf bifurcationHopf bifurcationperiodic solutiontime delaytumor–immune system interaction model

Identifiers

PMID39287223
PMCPMC12159292

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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.