P400 Understanding the impact of TNF-α antagonists on the severity of non-melanoma skin cancer in inflammatory bowel disease and the consequences for therapy
Bibliographic record
Abstract
Abstract Background Non-melanoma skin cancer (NMSC) accounts for at least 40% of all new cancer diagnoses in Canada annually and presents a significant cost to the health care system due to the volume of cases. The incidence of NMSC in patients with inflammatory bowel disease (IBD) is higher when compared with the general population. Generally, in a non-IBD population, the risk of further NMSC progression is low; however, little data exists that highlights differences in the clinical course of patients diagnosed with NMSC who have IBD and are TNF-α antagonist exposed. It is unclear if TNF-α antagonist therapy should be discontinued in this patient population. Our goal is to determine whether TNF-α antagonist exposure in IBD is associated with a high-risk NMSC presentation at diagnosis, as defined by the National Comprehensive Cancer Network (NCCN) stratification. Our secondary objectives include the presence of positive margins following resection, presence of metastatic disease on initial presentation, the requirement of additional therapy to treat NMSC, number of patients who had TNF-α antagonist therapy discontinued following the diagnosis of NMSC and number of individuals with recurrent NMSC. Methods Four hundred and twenty-four IBD patients seen at London Health Sciences Centre were reviewed. We have identified 22 patients who were diagnosed with NMSC. Twelve patients had a pre-NMSC TNF-α antagonist exposure while 10 patients who developed an NMSC and had no TNF-α antagonist exposure prior to NMSC diagnosis. Results Preliminary results of the primary outcome demonstrate that 50% (6/12) of patients who have been exposed to TNF antagonist therapy presented with a high-risk NMSC lesion at diagnosis compared with 40% (4/10) who were not exposed (OR 5.16, 95% CI 0.47–57.00; p = 0.181). Preliminary results of the secondary outcomes suggest that 25% (3/12) of patients exposed to TNF-α antagonist had positive margins compared with 0% (0/10) of patients who were not exposed. No patients in either group presented with metastatic disease. Twenty-five per cent (3/12) of patients in the exposed group received more advanced treatment compared with 0% (0/10) in the non-exposed group. Eight per cent (1/12) of patients in the TNF-α antagonist group had their IBD therapy changed from a TNF-α antagonist to an alternative biologic class, and 17% of patients (2/12) in the TNF-α antagonist group had recurrent NMSC lesions. Conclusion In conclusion, preliminary results suggest that TNF-α antagonist exposure may be associated with higher risk NMSC lesion at presentation. Further expansion of the sample size is required to explore these hypotheses further.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".