Immunological dynamics in orthotopic compared with subcutaneous murine models of HPV-positive oropharyngeal cancer
Bibliographic record
Abstract
The necessity of reliable preclinical models for evaluating the efficacy of novel therapeutic strategies is imperative. Nevertheless, the degree to which tumor-bearing murine models represent the immunological characteristics of human papillomavirus (HPV)-positive oropharyngeal squamous cell carcinoma (OPSCC) has largely been unexplored. By utilizing single-cell RNA sequencing technology, our research elucidated that subcutaneous (SC) murine models more accurately reflect the early immunogenic phase of human HPV-positive OPSCC, marked by a stage-dependent increase in effector T-cell infiltration. By contrast, orthotopic (base of tongue, BOT) tumors exhibited a progressive decline of cytotoxic T cells and accumulation of myeloid-derived suppressive cells, paralleling the immune decrease observed in advanced, immune-excluded human tumors. Additionally, our drug responsiveness analysis indicated that early-stage BOT models more accurately replicate the response to PDCD1 blockade, whereas late-stage SC models more accurately mirror the response to CTLA4 blockade akin to human samples. Our findings provide pivotal insights into the suitability of murine models for the preclinical assessment of immunotherapies in HPV-positive OPSCC.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".