Evidence map›Paper›PMID 30689655›Full record

ArticlePloS one2019

Role of tumor-associated neutrophils in regulation of tumor growth in lung cancer development: A mathematical model.

Yangjin Kim, Donggu Lee, Junho Lee, Seongwon Lee, Sean Lawler

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

19 citing papers in PubMed, 34 citations in OpenAlex.

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  18. Neutrophils activated by BJcuL, a C-type lectin isolated fromThe journal of venomous animals and toxins including tropical diseases · 2020
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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 at 3 institutions in 2 countries.

Yangjin KimDepartment of Mathematics, Konkuk University, Seoul, Republic of Korea.ORCID 0000-0002-8905-8481
Donggu LeeDepartment of Mathematics, Konkuk University, Seoul, Republic of Korea.
Junho LeeDepartment of Mathematics, Konkuk University, Seoul, Republic of Korea.
Seongwon LeeDivision of Mathematical Models, National Institute for Mathematical Sciences, Daejeon, Republic of Korea.
Sean LawlerDepartment of neurosurgery, Harvard Medical School & Brigham and Women's Hospital, Boston, Massachusetts, United States of America.
Konkuk University · KRBrigham and Women's Hospital · USNational Institute for Mathematical Sciences · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neutrophils display rapid and potent innate immune responses in various diseases. Tumor-associated neutrophils (TANs) however either induce or overcome immunosuppressive functions of the tumor microenvironment through complex tumor-stroma crosstalk. We developed a mathematical model to address the question of how phenotypic alterations between tumor suppressive N1 TANS, and tumor promoting N2 TANs affect nonlinear tumor growth in a complex tumor microenvironment. The model provides a visual display of the complex behavior of populations of TANs and tumors in response to various TGF-β and IFN-β stimuli. In addition, the effect of anti-tumor drug administration is incorporated in the model in an effort to achieve optimal anti-tumor efficacy. The simulation results from the mathematical model were in good agreement with experimental data. We found that the N2-to-N1 ratio (N21R) index is positively correlated with aggressive tumor growth, suggesting that this may be a good prognostic factor. We also found that the antitumor efficacy increases when the relative ratio (Dap) of delayed apoptotic cell death of N1 and N2 TANs is either very small or relatively large, providing a basis for therapeutically targeting prometastatic N2 TANs.

Indexed as

Models, BiologicalTumor MicroenvironmentHumansInterferon-betaLung NeoplasmsNeoplasm ProteinsNeutrophilsTransforming Growth Factor betaInterferon-betaNeoplasm ProteinsTransforming Growth Factor beta

Identifiers

PMID30689655
PMCPMC6349324
OpenAlexW2912684486

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.