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866 The effect of butyrophilin 1A1 blockade in combination with radiation treatment in colon and Lewis lung carcinoma

2023· article· en· W4388072441 on OpenAlexaboutno aff
Steven H. Lin, Stephen Yoo, Nan Li

Bibliographic record

VenueRegular and Young Investigator Award Abstracts · 2023
Typearticle
Languageen
FieldMedicine
TopicCancer Immunotherapy and Biomarkers
Canadian institutionsnot available
Fundersnot available
KeywordsRadioresistanceCancer researchLung cancerLewis lung carcinomaApoptosisMedicineCD44Radiation therapyFlow cytometryPathologyCellBiologyCancerInternal medicineImmunologyMetastasis

Abstract

fetched live from OpenAlex

<h3>Background</h3> Most advanced non-small cell lung cancer (NSCLC) patients will receive radiotherapy (RT) during the course of their treatment. However, response to RT varies widely among patients and radioresistance remains a major impediment to cure. Despite the addition of immune check point inhibitors to RT, many patients have inherent resistance or develop resistance after such treatment. There’s a significant unmet need to improve RT treatment in lung cancer. In order to deliver personalized RT treatment, it’s important to gain an understanding of the mechanisms that lead to radioresistance. In this work, we identified toll like receptor 4 (TLR4) as a potential target to improve response to RT. Our preliminary data shows that radiation increases TLR4 expression leading to increased regulatory T cell infiltration, tumor cell proliferation and migration. We therefore hypothesized that inhibition of TLR4 signalling can lead to decreased tumor growth and promote infiltration of cytotoxic T cells. <h3>Methods</h3> We used two murine NSCLC cell lines, adenocarcinoma (LLCI) and squamous cell carcinoma (KLN205). Cells were irradiated at 2 Gy and 10 Gy. TLR4 expression was evaluated by qPCR and Western blot. Migration, MTT and crystal violet staining assays were performed with and without the TLR4 inhibitor, TAK242. Apoptosis was evaluated using Annexin V staining. For <i>in vivo</i> experiments, KLN205 cells were inoculated into DBA/2 mice and divided into 4 groups: control, RT, TAK242 and TAK242+RT. Tumour volume was measured using callipers. Flow cytometry was performed to assess the impact of treatment on the tumor immune microenvironment. <h3>Results</h3> Both LLCI and KLN205 cell lines showed increased gene expression of TLR4 and MyD88 in response to 2 Gy and a further increase at 10 Gy <i>in vitro</i>. KLN205 showed similar results <i>in vivo</i>. At the protein level, radiation induced TLR4 and activated the downstream MyD88 pathway for the KLN205 cell line. TLR4 inhibition increased apoptosis and reduced cell proliferation and migration. <i>In vivo,</i> the combination of TLR4 inhibition and RT significantly reduced tumour growth and regulatory T cell infiltration. <h3>Conclusions</h3> Based on these preliminary results, we suggest that radiation induces TLR4 expression leading to increased migration and proliferation of NSCLC cell lines. Inhibition of TLR4 in combination with RT is a promising strategy to improve RT response. <h3>Ethics Approval</h3> Animal studies were approved by the institutional ethics committee of Université de Sherbrooke, Sherbrooke (protocol 363–14).

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.352

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.008
GPT teacher head0.242
Teacher spread0.234 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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
Published2023
Admission routes1
Has abstractyes

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