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Record W4282970097 · doi:10.1158/1538-7445.am2022-2043

Abstract 2043: The role of CCL20 in response to radiation in head and neck squamous cell carcinomas

2022· article· en· W4282970097 on OpenAlexaff
Cleopatra Rutihinda, Ayman Oweida, Patrick Delage, Léanie Moreau, Safia Chelighem, Nour Elhouda Saidi

Bibliographic record

VenueCancer Research · 2022
Typearticle
Languageen
FieldMedicine
TopicChemokine receptors and signaling
Canadian institutionsUniversité du Québec à Trois-RivièresUniversité de Sherbrooke
Fundersnot available
KeywordsCCL20Immune systemRadioresistanceMedicineCancer researchFlow cytometryHead and neck squamous-cell carcinomaImmunologyChemokineHead and neck cancerPathologyCancerRadiation therapyInternal medicine

Abstract

fetched live from OpenAlex

Abstract Background: Radioresistance is responsible for most cases of tumor progression and recurrence in head and neck squamous cell carcinomas (HNSCC). Combined radiotherapy (RT) and immunotherapy (IT) treatment has improved survival for a minority of patients with inflamed tumors or tumors susceptible to RT-induced inflammation. To enhance the response of radioresistant tumors to radiation, an understanding of the factors that suppress anti-tumor immunity is necessary. In this regard, regulatory T cells (Tregs) are critical mediators of immune suppression in HNSCCs and their depletion improves tumor response to RT. In this study, we investigated how radiation modulates Treg infiltration through the chemokine CCL20. We hypothesized that radiation induces CCL20 secretion resulting in Treg infiltration and suppression of anti-tumor immunity and that blocking CCL20 could lead to improved response to RT. Methods: Human (Cal27, SCC9) and mouse (MOC1, MOC2) cell lines with different immune phenotypes were irradiated at doses of 2Gy or 10Gy. Conditioned media (CM), RNA and protein were collected for the assessment of CCL20. qPCR was used to determine CCL20 gene expression. In vivo, MOC2 cell were were implanted into the right buccal cavity of mice and the effect of neutralizing CCL20 antibody was determined alone and in combination with RT. Blood samples were collected before and after RT for the analysis of serum levels of CCL20. Tumor samples were analyzed by flow cytometry to determine immune infiltrates, including CD8 T cells and Tregs. Results: Cal27 and MOC2 tumors had a gene signature associated with immunosuppression and Treg infiltration whereas SCC9 and MOC1 tumors displayed a gene signature associated with an inflamed microenvironment. In vitro, high-dose radiation significantly induced CCL20 in Cal27 and MOC2 cells relative to control. Multiplex analysis of chemokines from conditioned media samples showed that induction of CCL20 was associated with increased secretion of GM-CSF by MOC2 and Cal27 cells. In vivo, inhibition of CCL20 alone resulted in a significant decrease in tumor growth compared to control in MOC2 tumors. The combination of RT and anti-CCL20 showed a significant decrease in tumor volume compared to RT alone. Conclusion: Our data suggests that high-dose radiation promotes the induction of CCL20 secretion by tumor cells which is responsible for attraction of Tregs. Inhibition of CCL20 secretion using anti-CCL20 antibodies can slow down tumor growth and enhance the response to radiation. Citation Format: Cleopatra Rutihinda, Ayman J. Oweida, Patrick Delage, Léanie Moreau, Safia Chelighem, Nour Elhouda Saidi. The role of CCL20 in response to radiation in head and neck squamous cell carcinomas [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 2043.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.041
GPT teacher head0.369
Teacher spread0.328 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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