High-Risk HPV/ErbB-2 Interaction on E-Cadherin/Catenin Regulation in Human Carcinogenesis
Bibliographic record
Abstract
Human papillomaviruses (HPVs) are a group of host-specific DNA viruses, with more than 120 different types identified to date. HPVs are classified as high- or low-risk (HR or LR) depending on their potential to induce cancer. Persistent infections with HR types of HPVs present a major risk factor for the development of a variety of human cancers including cervical, colorectal, head and neck as well as breast cancers. On the other hand, the deregulation of ErbB family tyrosine kinase receptors has also been associated with several types of human cancers. For instance, ErbB2 has been shown to have an important role in human carcinomas, specifically breast cancer. Moreover, the E-cadherin/catenin complex plays a pivotal role in the maintenance of normal adhesion in epithelial cells, and has been demonstrated to suppress tumor invasion and participate in cell signaling in human carcinomas. This review focuses on the interaction between HR-HPV/ErbB2 tyrosine receptors and the E-cadherin/catenin complex in human carcinomas including cervical, colorectal, head and neck and breast cancers.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".