Clinical utility of skin cancer and melanoma risk scores for population screening: TRoPICS study. (27th December 2020)

• Record Type: Journal Article
• Authors: Shetty, A.; Janda, M.; Fry, K.; Brown, S.; Yau, B.; Schuckmann, L. Von; Thomas, S.; Rayner, J.E.; Spelman, L.; Wagner, G.; Jenkins, H.; Lun, K.; Parbery, J.; Soyer, H.P.; Neale, R.E.; Green, A.C.; Whiteman, D.C.; Olsen, C.M.; Khosrotehrani, K.
• Is Part Of: Journal of the European Academy of Dermatology and Venereology. Volume 35:Number 5(2021)
• Page Start: 1094
• Page End: 1098
• Publication Date: 2020-12-27
• Subjects: Dermatology -- Periodicals; Sexually transmitted diseases -- Periodicals; 616.5
• DOI: 10.1111/jdv.17062
• Languages: English
• ISSNs: 0926-9959

Abstract

Abstract: Background: Screening for skin cancer can be cost‐effective if focused on high‐risk groups. Risk prediction tools have been developed for keratinocyte cancers and melanoma to optimize advice and management. However, few have been validated in a clinical setting over the past few years. Objectives: To assess the clinical utility of risk assessment tools to identify individuals with prevalent skin cancers in a volunteer‐based screening clinic. Methods: Participants were adults presenting for a skin check at a volunteer‐based skin cancer screening facility. We used previously published tools, based on questionnaire responses, to predict melanoma and keratinocyte cancers [KCs; basal cell carcinoma (BCC) and squamous cell carcinoma (SCC)] and classified each participant into one of five risk categories. Participants subsequently underwent a full skin examination by a dermatologist. All suspicious lesions were biopsied, and all cancers were histopathologically confirmed. Results: Of 789 people who presented to the clinic, 507 (64%) consented to the study. Twenty‐two BCCs, 19 SCCs and eight melanomas were diagnosed. The proportion of keratinocyte cancers diagnosed increased according to risk category from <1% in the lowest to 24% in the highest risk category ( P < 0.001). Subtype analysis revealed similar proportionate increases in BCC or SCC prevalence according to risk category. However, a similar proportion of melanoma cases were detected in the low‐risk and high‐risk groups. Conclusion: The risk prediction model for keratinocyte cancers can reliably identify individuals with a significant skin cancer burden prior to a skin examination in the community setting. The prediction tool for melanoma needs to be tested in a larger sample exposed to a wider range of environmental risk factors.