FoxP3 overexpression and CD1a+ and CD3+ depletion in anal tissue as possible mechanisms for increased risk of human papillomavirus-related anal carcinoma in HIV infection
Bibliographic record
Abstract
AIM: We analysed local cellular and humoral immunity factors in the anal mucosa in an attempt to explain how HIV infection increases the risk of anal cancer in HPV-infected patients. METHOD: HIV-positive cases and matched HIV-negative controls with more than one recurrence of condylomas were included in a prospective study following treatment of the initial lesions. Patients were followed every 3 to 6 months for the development of anal intraepithelial neoplasia (AIN3) and cancer for up to 60 months. Tissue CD1a(+), CD3(+), CD4(+), CD8(+) cells and mRNAs of selected cytokines and chemokines were quantified and compared in patients with or without AIN3 or cancer using morphometric or immunohistochemistry analysis and qRT-PCR. RESULTS: Sixty-six individuals (22 patients and 44 controls) were included. In the case group, CD1a(+) and CD3(+) cell counts were significantly lower in biopsies from AIN3 and cancer specimens compared with those from AIN 1-2 or normal biopsies (P < 0.0001). A CD1a(+) count of < 10/mm was predictive of AIN3 and cancer (Odds ratio = 9.4, 95% CI: 5.4-18.3, P < 0.0001). IL-8 and IL23 levels were significantly higher in cancer than in non-cancer tissues regardless of HIV status (P = 0.02). FoxP3 expression was significantly higher in HIV-infected cases than in controls with AIN3/cancer (P < 0.04). CONCLUSION: Depletion of CD1a(+) and CD3(+) cells and overexpression of FoxP3 in the anal mucosa appear likely to contribute to the risk of HPV-related anal cancer in HIV-infected patients. Furthermore, overexpression of IL-8 and IL-23 in the anal mucosa might be responsible for the development of this cancer regardless of HIV status.
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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 | 0.000 | 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 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".