Mutation burden of narrowband ultraviolet B phototherapy (NB-UVB) in human skin: relevance to NB-UVB lifetime exposures and skin cancer surveillance
Bibliographic record
Abstract
BACKGROUND: Ultraviolet radiation (UVR) is used as treatment for psoriasis and other skin diseases, but UVR can induce DNA mutations that may lead to skin cancer development. While skin cancers have been documented in patients treated with phototherapy, a limited number of epidemiological studies have examined the incidence of skin cancer in people receiving narrowband ultraviolet B (NB-UVB) treatment. Information on the mutagenicity of NB-UVB would help inform about the potential skin cancer risks of this treatment. OBJECTIVES: To determine the mutation burden in human skin resulting from a NB-UVB treatment course and to use this data to estimate the total number of NB-UVB exposures whereupon skin cancer surveillance should begin. METHODS: Biopsies of normal skin were obtained before and after a course of NB-UVB from 16 patients with psoriasis. Epidermal DNA was sequenced using nanorate sequencing (NanoSeq) to determine the mutational signatures and mutation burden from NB-UVB. RESULTS: The NB-UVB treatment course increased the number of mutations in skin. Median increase in mutation burden was 0.55 substitutions per Mb in infrequently sun-exposed (buttock; n = 14) skin and 0.89 substitutions per Mb in frequently sun-exposed (forearm; n = 10) skin (P < 0.001). Change in mutation burden due to NB-UVB ranged from 1.16- to 10.50-fold in buttock skin and from 0.93- to 2.33-fold in forearm skin. This increase was mainly attributable to UVR exposure-linked mutational signatures, SBS7a and SBS7b, with some evidence that mutational burden was related to the genetic background of the individual. Modelling the change in mutation burden from NB-UVB relative to minimal erythema dose (MED) in comparison with average mutation burden in keratinocyte skin cancers allowed estimation of total lifetime exposures at which patients are likely to require skin cancer surveillance; for patients with a MED equal to 2 standard erythemal doses (SEDs), skin cancer surveillance should be offered at 422, 165 and 58 NB-UVB exposures for those receiving low, typical and high levels of sun exposure, respectively. CONCLUSIONS: A treatment course of NB-UVB causes UVR-induced mutations in the healthy skin of patients with psoriasis. Relating mutation burden to MED and sun behaviour habits allows estimation of when to begin skin cancer surveillance according to total lifetime NB-UVB exposures.
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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) | 0.001 | 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) | 0.000 | 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".