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Abstract PO-084: Deletion of macrophage migration inhibitory factor promotes antitumoral T cell infiltration and inhibits MDSC recruitment to the head and neck cancer microenvironment

2023· article· en· W4386784656 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueClinical Cancer Research · 2023
Typearticle
Languageen
FieldImmunology and Microbiology
TopicMacrophage Migration Inhibitory Factor
Canadian institutionsnot available
Fundersnot available
KeywordsMacrophage migration inhibitory factorTumor microenvironmentHead and neck squamous-cell carcinomaCancer researchImmune systemImmunotherapyCytokineCancerImmunologyMetastasisTumor progressionT cellBiologyMedicineHead and neck cancerInternal medicine

Abstract

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Abstract Head and neck squamous cell carcinoma (HNSCC) is a significant public health concern worldwide. Immunomodulatory targets in the HNSCC tumor microenvironment are crucial to enhance the efficacy of HNSCC immunotherapy. Macrophage migration inhibitory factor (MIF) is a pro-inflammatory cytokine that has been linked to worse prognosis in many cancers, but the mechanistic role of MIF in HNSCC remains unclear. Using a murine orthotopic oral cancer model in Mif+/+ or Mif− / − mice, we determined the function of host derived MIF in HNSCC tumor development, metastasis as well as localized and systemic tumor immune responses. We found that Mif− / − mice have decreased tumor growth and burden compared to their wild-type counterparts. Flow cytometric analysis of immune populations within the primary tumor site revealed increased T cell recruitment to the HNSCC tumor microenvironment, within the tumors of Mif− / − mice. MIF deletion also enhanced the effector function of anti-tumoral Th1 cells and decreased the accumulation of granulocytic MDSC in the tumor microenvironment. Furthermore, we show that isolated MDSC chemotactically respond to MIF in a dose dependent manner which is inhibited when MIF is depleted. Interestingly, MDSCs of tumor bearing Mif− / − mice expressed increased levels of PDL1 compared to Mif+/+ mice. However, Mif− / − and Mif+/+ MDSCs have comparable abilities to suppress T cell proliferation. Herein we describe a chemotactic and immunomodulatory role for MIF in the context of HNSCC. MIF targeted immunomodulation remains a potentially viable cancer therapeutic, however more remains to be understood about the cellular interaction of MIF within the tumor microenvironment before these targeted therapies can be effectively employed Citation Format: Steve Oghumu. Deletion of macrophage migration inhibitory factor promotes antitumoral T cell infiltration and inhibits MDSC recruitment to the head and neck cancer microenvironment [abstract]. In: Proceedings of the AACR-AHNS Head and Neck Cancer Conference: Innovating through Basic, Clinical, and Translational Research; 2023 Jul 7-8; Montreal, QC, Canada. Philadelphia (PA): AACR; Clin Cancer Res 2023;29(18_Suppl):Abstract nr PO-084.

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.

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 categoriesnone
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 score0.333
Threshold uncertainty score0.666

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.186
GPT teacher head0.440
Teacher spread0.254 · 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