MétaCan
Menu
← Back to cohort

Topology of cell-free DNA from tumour cells influences its immunogenicity in macrophages and dendritic cells <i>in vitro</i>

2023· article· en· W4385686732 on OpenAlexaffabout
Ethan Z. Malkin, Patricia J. Brooks, Sara Lamorte, Tracy L. McGaha, Scott V. Bratman

Bibliographic record

VenueThe Journal of Immunology · 2023
Typearticle
Languageen
FieldMedicine
TopicCancer Immunotherapy and Biomarkers
Canadian institutionsCentre for Social InnovationPrincess Margaret Cancer CentreUniversity of Toronto
Fundersnot available
KeywordsImmunogenicityBiologyImmune systemIn vitroCancer researchCell biologyCellDNAMolecular biologyChemistryImmunologyGenetics

Abstract

fetched live from OpenAlex

Abstract Activation of DNA-sensing pathways can induce an anti-tumour immune response, but the mechanisms by which tumour-derived cell-free DNA (cfDNA) activates pro-inflammatory signaling is not well-understood. In particular, the topological features of cfDNA that contribute to DNA sensor activation in phagocytes are unknown. As such, we investigated how tumour-derived cfDNA topology influences DNA sensor activation in macrophages and dendritic cells. We treated a murine colon adenocarcinoma cell line (MC38) with chemotherapy (topotecan or staurosporine) for varying durations to induce cfDNA release. We then harvested cfDNA, separated the protected (membrane-bound) and accessible (non-membranous) fractions, and quantified nuclear and mitochondrial cfDNA abundance. The cfDNA fractions were then added to murine RAW 264.7 macrophages or bone marrow-derived dendritic cells (BMDCs), and a panel of inflammatory markers was measured by RT-qPCR. We found that accessible cfDNA from MC38 cells treated with chemotherapy for 48h increased Il6 expression in RAW 264.7, but other inflammatory markers were not elevated. Interestingly, both nuclear and mitochondrial cfDNA abundance directly correlated with Il6 expression. Surprisingly, cfDNA did not induce pro-inflammatory signalling in BMDCs. These results demonstrate that tumour-derived cfDNA immunogenicity depends on its mechanistic origins, abundance, and the immune cell type to which it is exposed. We are currently examining the impact of other cfDNA biophysical properties on macrophage activation, as well as elucidating the DNA sensing pathways responsible for inducing Il6 expression. Our findings will help uncover the role of cfDNA in mediating anti-tumour immunity. E.Z. Malkin is supported by the Frederick Banting and Charles Best Canada Graduate Scholarship (FRN: FBD-175873) through CIHR. S.V. Bratman is supported by the Gattuso-Slaight Personalized Cancer Medicine Fund at the Princess Margaret Cancer Centre and the Dr. Mariano Elia Chair in Head and Neck Cancer Research at University Health Network and the University of Toronto.

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 score0.001
Threshold uncertainty score0.003

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)0.0010.000

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 head0.011
GPT teacher head0.251
Teacher spread0.240 · 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
Published2023
Admission routes2
Has abstractyes

Explore more

Same venueThe Journal of Immunology→Same topicCancer Immunotherapy and Biomarkers→French-language works237,207→