Evidence map›Paper›PMID 32585427›Full record

ArticleNeoplasia (New York, N.Y.)2020

Mathematical modeling of PDGF-driven glioma reveals the dynamics of immune cells infiltrating into tumors.

Ben Niu, Xianyi Zeng, Tuan Anh Phan, Frank Szulzewsky, Sarah Holte, Eric C Holland, Jianjun Paul Tian

Open access · goldAbstract read
In one paragraph

Article in Neoplasia (New York, N.Y.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 33% of its field
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

7 citing papers in PubMed, 9 citations in OpenAlex.

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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

7 authors at 4 institutions in 2 countries.

Ben NiuDepartment of Mathematical Sciences, New Mexico State University, 1780 E University Ave, Las Cruces, NM 88003, United States; Department of Mathematics, Harbin Institute of Technology at Weihai, 2 West Wenhua Road, Weihai, Shandong 264209, PR China.
Xianyi ZengDepartment of Mathematical Sciences, University of Texas at El Paso, 500 West University Avenue, El Paso, TX 79968, United States.
Tuan Anh PhanDepartment of Mathematical Sciences, New Mexico State University, 1780 E University Ave, Las Cruces, NM 88003, United States.
Frank SzulzewskyHuman Biology Division, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue N., PO Box 19024, Seattle, WA 98109, United States.
Sarah HoltePublic Health Sciences Division, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue N., PO Box 19024, Seattle, WA 98109, United States.
Eric C HollandHuman Biology Division, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue N., PO Box 19024, Seattle, WA 98109, United States; Solid Tumor Translational Research, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue N., PO Box 19024, Seattle, WA 98109, United States. Electronic address: eholland@fredhutch.org.
Jianjun Paul TianDepartment of Mathematical Sciences, New Mexico State University, 1780 E University Ave, Las Cruces, NM 88003, United States. Electronic address: jtian@nmsu.edu.
Fred Hutch Cancer Center · USNew Mexico State University · USHarbin Institute of Technology · CNThe University of Texas at El Paso · US

Funding

Research Education About Cancer and Health (REACH) CoreU54CA132381 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI KAREN R PETERSON · 2007 to 2026
$25.3M
Undergraduate Student Training in Cancer ResearchU54CA132383 · NCI · NEW MEXICO STATE UNIVERSITY LAS CRUCES · PI MICHELE Irene SHUSTER · 2007 to 2026
$21.4M
NCI NIH HHS U54 CA132381NCI NIH HHS U54 CA132383
6 · The paper itself

Abstract

backgroundTumor-infiltrated immune cells compose a significant component of many cancers. They have been observed to have contradictory impacts on tumors. Although the primary reasons for these observations remain elusive, it is important to understand how immune cells infiltrating into tumors is regulated. Recently our group conducted a series of experimental studies, which showed that muIDH1 gliomas have a significant global reduction of immune cells and suggested that the longer survival time of mice with CIMP gliomas may be due to the IDH mutation and its effect on reducing of the tumor-infiltrated immune cells. However, to comprehend how IDH1 mutants regulate infiltration of immune cells into gliomas and how they affect the aggressiveness of gliomas, it is necessary to integrate our experimental data into a dynamical system to acquire a much deeper understanding of subtle regulation of immune cell infiltration.

methodsThe method is integration of mathematical modeling and experiments. According to mass conservation laws and assumption that immune cells migrate into the tumor site along a chemotactic gradient field, a mathematical model is formulated. Parameters are estimated from our experiments. Numerical methods are developed to solve the problem. Numerical predictions are compared with experimental results.

resultsOur analysis shows that the net rate of increase of immune cells infiltrated into the tumor is approximately proportional to the 4/5 power of the chemoattractant production rate, and it is an increasing function of time while the percentage of immune cells infiltrated into the tumor is a decreasing function of time. Our model predicts that wtIDH1 mice will survive longer if the immune cells are blocked by reducing chemotactic coefficient. For more aggressive gliomas, our model shows that there is little difference in their survivals between wtIDH1 and muIDH1 tumors, and the percentage of immune cells infiltrated into the tumor is much lower. These predictions are verified by our experimental results. In addition, wtIDH1 and muIDH1 can be quantitatively distinguished by their chemoattractant production rates, and the chemotactic coefficient determines possibilities of immune cells migration along chemoattractant gradient fields.

conclusionsThe chemoattractant gradient field produced by tumor cells may facilitate immune cells migration to the tumor cite. The chemoattractant production rate may be utilized to classify wtIDH1 and muIDH1 tumors. The dynamics of immune cells infiltrating into tumors is largely determined by tumor cell chemoattractant production rate and chemotactic coefficient.

Indexed as

Models, TheoreticalMutationAnimalsBrain NeoplasmsGliomaHumansIsocitrate DehydrogenaseLymphocytes, Tumor-InfiltratingMicePlatelet-Derived Growth FactorIsocitrate DehydrogenasePlatelet-Derived Growth FactorChemotactic gradient fieldImmune cellInfiltration dynamicsmuIDH1wtIDH1

Identifiers

PMID32585427
PMCPMC7322103
OpenAlexW3037323250

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.