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Carcinomas, basal cell carcinomas (BCC) and squamous cell carcinomas (SCC) are the most common cancers in humans.
Carcinomas’ are primarily caused by exposure to ultraviolet (UV) radiation. The process involves UVB and UVA radiation, which leads to DNA damage, suppression of cutaneous immunity, production of reaction oxygen species (ROS), inflammation, and cell dysregulation.5
An overwhelming body of evidence exists in support of sunscreen for protection against carcinomas. Its chemoprotective benefit can be enhanced with the addition of DNA repair ingredient or antioxidants. Daily application of sunscreen with at least SPF-30 is recommended to decrease photo-induced damage and carcinomas.5
An algorithm developed by a prospective cohort study6, using self-reported patient data have high accuracy for predicting risks of carcinomas. The average risk depend on the incidence of carcinomas within a given population.
Overall, a past history of an excised skin cancer or a destroyed actinic skin lesion, and advanced age are the strongest predictors of future risk. Current smoking status, white skin colour and freckling tendency also improve the risk. For patients with no self-reported history of skin cancer, the strongest factors are sunburns in childhood, sunburns in adulthood, and family history of melanoma.6
A web-based application developed by Professor David Whiteman, a medical epidemiologist from Australia, helps to calculate a personal risk.
From a drop-down menu, a person selects the most appropriate response for each of the 10 items that are found to significantly predict risk of carcinomas.
The algorithm sums the beta-coefficients of the selected response items to generate a risk score, and then determines where that person’s score lies relative to the distribution of all risk scores in the QSkin cohort.6
For clinical utility, and to avoid perceptions of spurious precision, the tool reports a risk category rather than the actual score, as follows :
Although the subsequent management of each patient will depend on his or her own particular circumstances, this tool will aid clinicians and their patients in quantifying risk and deciding on an appropriate course of action.
Calculating the risk of developing carcinomas in practice can help the triage of patients with low risk to direct them to their routine care provider (general practitioner or family physician) for tailored recommendations about safe behaviors and sun protection.
It helps to predict current or future risk of a cancer diagnosis to enhance physician decision-making and improve patient outcomes.7
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