Plasmablastic lymphoma in the ano-rectal junction presenting in an immunocompetent man: a case report
Bibliographic record
Abstract
INTRODUCTION: Plasmablastic lymphoma is an aggressive non-Hodgkin lymphoma classically occurring in individuals infected with HIV. Plasmablastic lymphoma has a predilection for the oral cavity and jaw. However, recent case reports have shown lymphoma in the stomach, lung, nasal cavity, cervical lymph nodes and jejunum in HIV-negative individuals. We report what is, to the best of our knowledge, the first case of plasmablastic lymphoma occurring in the ano-rectal junction of an HIV-negative man. CASE PRESENTATION: A previously healthy 59-year-old Caucasian man presented with painless rectal bleeding. Colonoscopy revealed a lesion in the ano-rectal junction, with pathological examination demonstrating atypical lymphoid cells consisting primarily of plasmablasts with rounded nuclei, coarse chromatin, small nucleoli and multiple mitotic figures. Immunohistochemical analysis showed the atypical cells were negative for CD45, CD20, CD79a and immunoglobulin light chains, but were strongly positive for CD138 and EBV-encoded RNA. The results were consistent with a diagnosis of plasmablastic lymphoma. Aggressive systemic chemotherapy and involved field radiation therapy resulted in complete clinical and pathological remission. CONCLUSION: Increasing awareness of plasmablastic lymphoma in HIV-negative individuals and in this location is warranted.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".