Two common variants of human papillomavirus type 16 E6 differentially deregulate sugar metabolism and hypoxia signalling in permissive human keratinocytes
Bibliographic record
Abstract
Human papillomavirus type 16 (HPV16) is responsible for most cancers attributable to HPV infection and naturally occurring variants of the HPV16 E6 oncoprotein predispose individuals to varying risk for developing cancer. Population studies by us and others have demonstrated that the common Asian-American E6 (AAE6) variant is a higher risk factor for cervical cancer than the E6 of another common variant, the European prototype (EPE6). However, a complete understanding of the molecular processes fundamental to these epidemiological findings is still lacking. Our previously published functional studies of these two E6 variants showed that AAE6 had a higher immortalization and transformation potential than EPE6. Proteomic analysis revealed markedly different protein patterns between these variants, especially with respect to key cellular metabolic enzymes. Here, we tested the Warburg effect and hypoxia signalling (hallmarks of cancer development) as plausible mechanisms underlying these observations. Lactate and glucose production were enhanced in AAE6-transduced keratinocytes, likely due to raised levels of metabolic enzymes, but independent of hypoxia-inducible factor 1 alpha (HIF-1α) activity. The HIF-1α protein level and activity were elevated by AAE6 in hypoxic conditions, leading to a hypoxia-tolerant phenotype with enhanced migratory potential. The deregulation of HIF-1α was caused by the AAE6 variant's ability to augment mitogen-activated protein kinase/extracellular related kinase signalling. The present study reveals prominent underlying mechanisms of the AAE6's enhanced oncogenic potential.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.001 | 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 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".