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Record W7132859359

Preclinical Radiobiological and Immunological Characterization of Syngeneic Head/Neck and Prostate Cancer Tumor Models

2024· dissertation· W7132859359 on OpenAlexaff
Marissa Chow

Bibliographic record

VenueTSpace · 2024
Typedissertation
Language
FieldMedicine
TopicCancer Immunotherapy and Biomarkers
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsProstate cancerDownregulation and upregulationImmune systemLung cancerProstateRadiation therapyCXCR4Cancer
DOInot available

Abstract

fetched live from OpenAlex

Previous research has shown that radiotherapy (RT) plus the CXCR4 inhibitor plerixaforimproved primary tumor control and reduced metastases compared to RT alone in patient-derived cervical cancer models. I hypothesized that similar effects would be seen in syngeneic, subcutaneous head/neck (MOC1, MOC2) and prostate (TRAMP-C2) cancer mouse models with an intact immune system. MOC1 and MOC2 but not TRAMPC2 tumors exhibited significant upregulation of the CXCL12/CXCR4 pathway between 24 hours and 96 hours after RT. Several ISGs and the immune checkpoints regulators PDL1 and CTLA-4 were significantly upregulated as well. Furthermore, the macrophage marker F4/80 was significantly upregulated in MOC1 tumors 72 hours after RT. Tumor growth delay was improved in MOC1 tumors with the addition of plerixafor but only during the time period when plerixafor was administered. There was no improvement in growth delay in MOC2 tumors and no change in lung metastases in either model.

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)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.043
GPT teacher head0.378
Teacher spread0.335 · 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
Published2024
Admission routes1
Has abstractyes

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