THE ROLE OF HHV-8 IN THE PATHOGENESIS OF HIV NEGATIVE CASTLEMAN'S DISEASE: MMUNOHISTOCHEMISTRY ANALYSIS
Bibliographic record
Abstract
BACHGROUND: Castleman's disease (CD) is a rare atypical lymphoproliferative disorder that is morphologically and clinically heterogeneous and is associated with a risk of developing malignant lymphoma. The pathogenesis of CD is still not clear. The aim of this study is to evaluate the possible involvement of human herpesvirus-8 (HHV-8) in the pathogenesis of CD. METHOD: Immunohistochemistry for HHV-8 was performed on archival formalin- fixed, paraffin wax embedded biopsy specimens from 25 cases of CD without human immunodeficiency virus (HIV) infection at The Toronto General Hospital, University Health Network (Toronto, Canada), King Abdulaziz University Hospital and King Faisal Specialist Hospital and Research Centre (Jeddah, Saudi Arabia). The clinical histories were reviewed. Pathology sections (4 m) were stained using mouse monoclonal antibody (NCL-HHV8-LNA), which is specific for human herpesvirus type 8 latent nuclear antigen-1 (LNA-1). The assays were performed at the Department of Pathology, KAUH, Jeddah, KSA in 2007. RESULTS: The age range was 16-90 years. There were 14 males and 11 females. Twenty-one patients had the localized form of CD and 4 patients had the multicentric form. Only one of the 25 cases (4%) showed positive nuclear staining. CONCLUSIONS: HHV-8 is unlikely to play a significant role in the pathogenesis of the large majority of cases of HIV-negative CD. This is in contrast to the reported involvement of HHV-8 in HIV-positive CD.
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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 | 0.001 | 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".