Evidence map›Paper›PMID 32036448›Full record

ArticleCancer immunology, immunotherapy : CII2020

Nonlinear response to cancer nanotherapy due to macrophage interactions revealed by mathematical modeling and evaluated in a murine model via CRISPR-modulated macrophage polarization.

Fransisca Leonard, Louis T Curtis, Ahmed R Hamed, Carolyn Zhang, Eric Chau, Devon Sieving, Biana Godin, Hermann B Frieboes

Open access · greenAbstract read
In one paragraph

Article in Cancer immunology, immunotherapy : CII, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

25 citing papers in PubMed, 42 citations in OpenAlex.

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  9. Spatio-Temporal Dynamics of MBulletin of mathematical biology · 2025
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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

8 authors at 2 institutions in 2 countries.

Fransisca LeonardDepartment of Nanomedicine, Houston Methodist Research Institute, R8-213, 6670 Bertner St., Houston, TX, 77030, USA.
Louis T CurtisDepartment of Bioengineering, University of Louisville, Louisville, KY, USA.
Ahmed R HamedDepartment of Nanomedicine, Houston Methodist Research Institute, R8-213, 6670 Bertner St., Houston, TX, 77030, USA.
Carolyn ZhangDepartment of Nanomedicine, Houston Methodist Research Institute, R8-213, 6670 Bertner St., Houston, TX, 77030, USA.
Eric ChauDepartment of Nanomedicine, Houston Methodist Research Institute, R8-213, 6670 Bertner St., Houston, TX, 77030, USA.
Devon SievingDepartment of Nanomedicine, Houston Methodist Research Institute, R8-213, 6670 Bertner St., Houston, TX, 77030, USA.
Biana GodinDepartment of Nanomedicine, Houston Methodist Research Institute, R8-213, 6670 Bertner St., Houston, TX, 77030, USA. bgodin@houstonmethodist.org.
Hermann B FrieboesDepartment of Bioengineering, University of Louisville, Lutz Hall 419, Louisville, KY, 40292, USA. hbfrie01@louisville.edu.ORCID http://orcid.org/0000-0001-5959-4286
Houston Methodist · USUniversity of Louisville · US

Funding

Integrated framework to predict chemotherapy response post lung tumor resectionR15CA203605 · NCI · UNIVERSITY OF LOUISVILLE · PI FRIEBOES, HERMANN · 2016 to 2016
$462k
Dr. Cyrus and Myrtle Katzen Cancer Research Center, George Washington University (US) Cardiovascular Nanomedicine GrantHouston Methodist Research Institute Department of Nanomedicine Innovative Grant AwardHouston Methodist Research Institute METAvivor Foundation Early Career Investigator AwardNCI NIH HHS R15 CA203605NCI NIH HHS R15CA203605
6 · The paper itself

Abstract

Tumor-associated macrophages (TAMs) have been shown to both aid and hinder tumor growth, with patient outcomes potentially hinging on the proportion of M1, pro-inflammatory/growth-inhibiting, to M2, growth-supporting, phenotypes. Strategies to stimulate tumor regression by promoting polarization to M1 are a novel approach that harnesses the immune system to enhance therapeutic outcomes, including chemotherapy. We recently found that nanotherapy with mesoporous particles loaded with albumin-bound paclitaxel (MSV-nab-PTX) promotes macrophage polarization towards M1 in breast cancer liver metastases (BCLM). However, it remains unclear to what extent tumor regression can be maximized based on modulation of the macrophage phenotype, especially for poorly perfused tumors such as BCLM. Here, for the first time, a CRISPR system is employed to permanently modulate macrophage polarization in a controlled in vitro setting. This enables the design of 3D co-culture experiments mimicking the BCLM hypovascularized environment with various ratios of polarized macrophages. We implement a mathematical framework to evaluate nanoparticle-mediated chemotherapy in conjunction with TAM polarization. The response is predicted to be not linearly dependent on the M1:M2 ratio. To investigate this phenomenon, the response is simulated via the model for a variety of M1:M2 ratios. The modeling indicates that polarization to an all-M1 population may be less effective than a combination of both M1 and M2. Experimental results with the CRISPR system confirm this model-driven hypothesis. Altogether, this study indicates that response to nanoparticle-mediated chemotherapy targeting poorly perfused tumors may benefit from a fine-tuned M1:M2 ratio that maintains both phenotypes in the tumor microenvironment during treatment.

Indexed as

Models, BiologicalAlbumin-Bound PaclitaxelAnimalsBreast NeoplasmsCell DifferentiationCell EngineeringCell Line, TumorCoculture TechniquesCRISPR-Cas SystemsDisease Models, AnimalFemaleHumansLiposomesLiver NeoplasmsMacrophage ActivationMacrophagesAlbumin-Bound PaclitaxelLiposomesBreast cancer liver metastasesCancer immunotherapycomputational simulationMacrophage polarizationMathematical modelingNanotherapy

Identifiers

PMID32036448
PMCPMC7186159
OpenAlexW3004451327

What OpenQuestion holds

Textmetadata
LicenceTDM
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.