Co-prevalence of Epstein–Barr virus and high-risk human papillomaviruses in Syrian women with breast cancer
Bibliographic record
Abstract
ABSTRAT We recently performed 2 studies viewing the presence of Epstein-Barr virus (EBV) and high-risk human papillomaviruses (HPVs) types 16, 18, 31, 33 and 35 in human breast cancer in the Syrian population. Herein, we report that EBV and high-risk HPVs are co-present in breast cancer in Syrian women. Therefore, and based on our previous studies and present data, we reveal that 35 (32%) of 108 cancer samples are positive for both EBV and high-risk HPVs and their co-presence is associated with high grade invasive ductal carcinomas (IDCs) with at least one positive lymph nodes, in comparison with EBV and high-risk HPVs-positive samples, which are low to intermediate grade IDCs, respectively. Future studies are needed to confirm the co-presence and the cooperation effect of these onco-viruses in human breast carcinogenesis and metastasis.
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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) | 0.001 | 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 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".