Evidence map›Paper›PMID 35165830›Full record

ArticleTheory in biosciences = Theorie in den Biowissenschaften2022

Delay induced interaction of humoral- and cell-mediated immune responses with cancer.

Sumana Ghosh, Sandip Banerjee

Abstract read
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In one paragraph

Article in Theory in biosciences = Theorie in den Biowissenschaften, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

2 authors.

Sumana GhoshTranslational Health Science and Technology Institute, Complex Analysis Group, Faridabad, Haryana, 121001, India. sumanaghosh.math@gmail.com.ORCID http://orcid.org/0000-0002-4004-6869
Sandip BanerjeeDepartment of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, 247667, India.

Funding

Indo-French Centre for Applied Mathematics MA/IFCAM/13/120Ministry of Human Resource Development MHR02-41-113-429
6 · The paper itself

Abstract

A mathematical model for the quantitative analysis of the interaction between cancer cells and cell-mediated immune system with two discrete-time delays, considering the role of antibodies, is studied in this paper. The model is analyzed both analytically and numerically to understand the dynamics of interaction delay and proliferation enhancement effect delay in the eradication of cancer. Hopf bifurcation occurs when one-time delay crosses the critical value in the absence of the other. It is also observed that as we increase any of the delays, it will increase the cancer burden. The analysis shows that a cancer-free state cannot be obtained solely by the killing rate of cytotoxic T-lymphocytes, but humoral response in combination with cell-mediated immune responses plays an important role to eradicate cancer.

Indexed as

Models, TheoreticalNeoplasmsComputer SimulationHumansImmune SystemImmunityAntibodiesB-cellsCancer cellsCytotoxic T-lymphocytesDiscrete delaysHopf bifurcationPlasma cells

Identifiers

PMID35165830

What OpenQuestion holds

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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.