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1130 Investigating macrophage modulation in a murine model of soft tissue sarcoma

2022· article· en· W4308398799 on OpenAlexaffabout
Kurt Hildebrand, Karys Hildebrand, Franz J. Zemp, Carolina Salazar Arcila, Michael J. Monument

Bibliographic record

VenueRegular and Young Investigator Award Abstracts · 2022
Typearticle
Languageen
FieldImmunology and Microbiology
TopicImmune cells in cancer
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMacrophageMolecular biologyImmune systemChemokineBiologyImmunologyBiochemistry

Abstract

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<h3>Background</h3> Soft tissue sarcomas (STSs) are a heterogeneous group of malignancies that arise from mesodermal tissue. Generally, STSs are treated with morbid surgical resection and radiation therapy.<sup>1</sup> The STS tumour microenvironment (TME) contains an abundance of macrophages<sup>2</sup> and few lymphocytes.<sup>3</sup> In many malignancies, macrophages can be associated tumour progression<sup>4</sup> and suppression of lymphocytes.<sup>5</sup> The role of macrophages in STSs needs further investigation. Therefore, the purpose of this study was to modulate macrophages in an immune competent model of STS, and assess the changes in tumour growth and the immune landscape. <h3>Methods</h3> Two models were used to modulate macrophages in an immune competent murine STS model; the Macrophage Fas-Induced Apopotosis (MaFIA) model<sup>6</sup>, and the C-C chemokine receptor-2 Knockout (CCR2 KO) model.<sup>7</sup> MaFIA mice express a transgene and can be given a pharmacological agent to induce cell death in CSF1R+ cells. The CCR2 KO model shows a deficiency in recruiting monocytes to inflamed tissue. Both models have reduced tumour macrophages in other murine models.<sup>8, 9</sup> MaFIA and CCR2 KO mice were engrafted with STS cells in the right hindlimb.<sup>10</sup> Tumour volume, macrophages (CD45<sup>+</sup>, CD11b<sup>+</sup>, F4/80<sup>+</sup>, and CD80<sup>+</sup> or CD206<sup>+</sup>), as well as lymphocytes (CD45<sup>+</sup>, CD3e<sup>+</sup>, and CD4<sup>+</sup> or CD8<sup>+</sup>) were assessed using flow cytometry. <h3>Results</h3> MaFIA mice showed a ~84% decrease (p&lt;0.01) in tumour volume, whereas the CCR2 KO mice and control mice showed no differences in tumour volume. MaFIA mice showed a significant reduction of CSF1R+ macrophages (53%; p&lt;0.01) and CSF1R+, CD206+ macrophages (54%; p&lt;0.05), but no changes to total macrophages. Interestingly, the CCR2 KO mice showed a significant decrease in tumour macrophages (47%; p&lt;0.01), as well as CD206+ macrophages (41%; p&lt;0.01). The MaFIA model showed no differences in lymphocytes, but the CCR2 KO model showed a significant increase in CD8 T cells (360% increase; p&lt;0.01). Interestingly, CSF1R+ ablative treatment was associated with an increased expression of PD1 in the MaFIA model (211%; p&lt;0.01). <h3>Conclusions</h3> Both CSF1R and CCR2 modulation diminished macrophage subtypes, but CSF1R modulation did not diminish the total macrophage population. However, only the CCR2 KO model improved lymphocyte (CD8 T cell) infiltration, which did not improve disease outcome. Additionally, CSF1R modulation was associated with an increased PD1 expression. Thus, modulating the CCR2 axis influenced the TME but did not change tumour burden. The CSF1R axis diminished STS tumour burden and macrophage subtypes, and could potentially also sensitize STS tumours to anti-PD1 therapy. <h3>References</h3> Cormier JN, Pollock RE. Soft tissue sarcomas. <i>CA Cancer J Clin</i>,2004;<b>54</b>(2):94–109. Sawa-Wejksza K, Kandefer-Szerszen M. Tumor-associated macrophages as target for antitumor therapy. Archivum immunologiae et therapiae experimentalis, 2018;<b>66</b>(2):97–111. Sorbye SW, <i>et al</i>. Prognostic impact of lymphocytes in soft tissue sarcomas. <i>PLoS One</i> 2011;<b>6</b>(1):e14611. Lin Y, Xu J, Lan H, Tumor-associated macrophages in tumor metastasis: biological roles and clinical therapeutic applications. <i>J Hematol Oncol</i> 2019;<b>12</b>(1):76. Peranzoni E, <i>et al</i>. Macrophages impede CD8 T cells from reaching tumor cells and limit the efficacy of anti–PD-1 treatment. <i>Proceedings of the National Academy of Sciences</i> 2018;<b>115</b>(17):E4041–E4050. Burnett SH, <i>et al</i>. Conditional macrophage ablation in transgenic mice expressing a Fas-based suicide gene. <i>Journal of Leukocyte Biology</i> 2004;<b>75</b>(4):612–623. Boring L, <i>et al</i>. Impaired monocyte migration and reduced type 1 (Th1) cytokine responses in CC chemokine receptor 2 knockout mice. <i>The Journal of Clinical Investigation</i> 1997;<b>100</b>(10):2552–2561. Gabrusiewicz K, <i>et al</i>. Macrophage ablation reduces M2-like populations and jeopardizes tumor growth in a MAFIA-based glioma model. <i>Neoplasia</i> 2015;<b>17</b>(4):374–384. Sanford DE, <i>et al</i>. Inflammatory monocyte mobilization decreases patient survival in pancreatic cancer: a role for targeting the CCL2/CCR2 axis. <i>Clinical Cancer Research</i> 2013;<b>19</b>(13):3404–3415. 10. Hildebrand KM, <i>et al</i>. The Kras G12D; Trp53 fl/fl murine model of undifferentiated pleomorphic sarcoma is macrophage dense, lymphocyte poor, and resistant to immune checkpoint blockade. <i>PloS One</i> 2021;<b>16</b>(7):e0253864. <h3>Ethics Approval</h3> Studies involving animals were be conducted according to the Canadian Council on Animal Care guidelines. Ethics approval was obtained from the University of Calgary Health Sciences Animal Care Committee (AC19-0072, 6/25/2021). All mice are housed at the University of Calgary Foothills Campus in a level 2 containment facility.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.049
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.237
Teacher spread0.220 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2022
Admission routes2
Has abstractyes

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