Abstract PO-018: Pathological analysis of newly established immunocompetent mice with full HPV16 genome integration
Bibliographic record
Abstract
Abstract Human papillomaviruses (HPV) are associated with both benign and malignant epithelial lesions. High-risk HPV subtype HPV 16 is the causative agent of cervical and the majority of oropharyngeal squamous cell carcinomas. Despite the continuous increase in the disease burden, mechanisms and pathways of HPV16-induced cancer growth are not fully understood, thus leading to suboptimal treatment. In the last few decades, several transgenic mouse models were developed, which helped tremendously in the study of HPV-induced carcinogenesis. However, all existent HPV transgenic mice were targeted early genes expression driven by an artificial promoter and did not encompass the functionality of the whole HPV genome, including the upstream regulatory region (URR) that contains HPV promoters, regulatory elements, and a replication origin, limited our ability to investigate HPV-associated malignant transformation and the role of host factors in this process. Therefore, we generated HPV16 transgenic mice by using CRISPR/Cas9-mediated genome editing to insert the full-length HPV16 genome into the Rosa26 locus. Two founder mice, with single HPV copy and with tandem HPV integration, were used to establish mouse colonies. Interestingly, regardless of HPV copy number, approximately 50% of the HPV knock-in mice exhibited early death during the first 2 weeks after birth, while surviving pups were significantly smaller than the same-age wild-type mice and had severe hair loss. Intriguingly, the growth retardant and hair loss phenotype in the HPV16 knock-in mice disappeared in approximately 4 weeks, most likely indicating that viral genes compromise specific stages of mouse development. We evaluated the expression of HPV genes during development, in different mouse organs, and in established fibroblasts and epithelial cell cultures. Our newly established HPV16 knock-in mouse model provides viral gene expression from natural viral promoters offering an essential basis to explore the role of cellular factors in HPV-driven pathologies. Citation Format: Xue Li, Aditi Kothari, Hina Rehmani, Wendell G. Yarbrough, Natalia Issaeva. Pathological analysis of newly established immunocompetent mice with full HPV16 genome integration [abstract]. In: Proceedings of the AACR-AHNS Head and Neck Cancer Conference: Innovating through Basic, Clinical, and Translational Research; 2023 Jul 7-8; Montreal, QC, Canada. Philadelphia (PA): AACR; Clin Cancer Res 2023;29(18_Suppl):Abstract nr PO-018.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.003 |
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 source (direct Gemma or distilled Codex), 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".