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Record W4413008970 · doi:10.1097/ppo.0000000000000775

Radiation-dependent Nucleic Acid Sensing, and Its Possible Impact on Radiotherapy

2025· review· en· W4413008970 on OpenAlex
Robert J. Pickering, Christian Zierhut

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Cancer Journal · 2025
Typereview
Languageen
FieldImmunology and Microbiology
Topicinterferon and immune responses
Canadian institutionsInstitute of Cancer Research
Fundersnot available
KeywordsNucleic acidInnate immune systemDNA damageWnt signaling pathwayBiologyRadiation therapyDNATumor microenvironmentImmune systemCancer researchSignalling pathwaysAIM2DNA repairCell biologyTumor cellsSignal transductionImmunologyGeneticsMedicine

Abstract

fetched live from OpenAlex

DNA damage and chromosomal instability can promote sterile inflammatory responses in cells, similar to those induced by pathogen infection. Primary contributors to this phenomenon are cGAS-dependent and AIM2-dependent DNA-sensing mechanisms, as well as RIG-I-dependent, MDA5-dependent, and ZBP1-dependent RNA-sensing mechanisms. Work over the last decade has established that some or all of these pathways may also be activated by radiotherapy, potentially modulating the behavior of irradiated tumours. With an emphasis on tumor cells, we review here how innate immune signalling may become activated during radiotherapy, and how it may impact the behavior of irradiated cells, as well as how this might pattern the tumor microenvironment.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.984
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0020.000

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 head0.023
GPT teacher head0.354
Teacher spread0.331 · 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