Antigenic Open Reading Frames from HHV-8 are Present in Multiple Myeloma Patients and Normal Individuals at Similar Frequency
Bibliographic record
Abstract
It has been proposed that the absence of a humoral response to human herpes virus 8 (HHV-8) in patients with multiple myeloma (MM) reflects strain variation or the mutation, or absence, of the antigenic regions of HHV-8 recognized in ELISA screening tests. We therefore assessed DNA sequence of three antigenic regions (ORF65, ORF73 and ORFK8.1) and the transforming hypervariable K1 ORF of HHV-8 in fresh bone marrow cells, bone marrow derived dendritic cells (DCs) and bone marrow stromal cells (BMSCs) from 12 patients with MM and 8 normal individuals. HHV-8 ORFs were detectable by nested PCR in MM patients (ORF65: 67% ORF73: 22% and K8.1: 58%), but were also surprisingly frequent in normal individuals (ORF65: 37%, ORF73: 12.5% and K8.1: 62%). HHV-8 sequences were more frequently detected in cells from BMSC and DC culture than from fresh bone marrow in MM. In contrast no HHV-8 sequences were detected in BMSC from normal individuals. Sequence analysis of ORF65 failed to demonstrate productive mutations in any MM sample. K1 genomic sequences were detected in 42% of MM and 37% of normals and exhibited 98% homology with the K1-A1 HHV-8 strain. In conclusion, our data do not support the presence of a K1-C3 strain of HHV-8 with ORF65 expression deficiency in MM patients. HHV-8 infection appears to be common in the general population when sensitive PCR is employed and multiple samples are analyzed.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.003 | 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".