Literature DB >> 32390191

Developing a risk prediction model for keratinocyte carcinoma in patients with actinic keratosis.

Y Kim1,2, E Jorgenson3, M M Asgari1,2.   

Abstract

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Year:  2020        PMID: 32390191      PMCID: PMC7720815          DOI: 10.1111/bjd.18966

Source DB:  PubMed          Journal:  Br J Dermatol        ISSN: 0007-0963            Impact factor:   9.302


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Actinic keratoses (AKs) commonly arise on skin exposed to chronic ultraviolet radiation. AKs have been associated with an increased risk of keratinocyte carcinoma (KC), including basal cell carcinoma (BCC) and squamous cell carcinoma (SCC).[1] While the majority of AKs regress,[2] up to 16% may undergo malignant transformation.[3] Thus, it is important to identify a subset of patients with AK who are at increased risk for developing KC. There are several models for predicting KC based on known risk factors, including age, sex, pigmentation, sun sensitivity, freckling and history of skin cancer.[4,5] Risk models incorporating genetic risk using polygenic risk scores or the number of risk alleles in KC development showed improved discriminative ability.[6,7] Despite the increased risk for developing KC in patients with AK, a risk prediction model for KC that is developed among those with AK lesions has been lacking. In this issue of the BJD, Tokez et al. propose a novel prediction model for incident KC among patients with AK using the Rotterdam Study cohort.[8] They assessed potentially relevant phenotypic, lifestyle and genetic factors to produce their model, which demonstrates modest discriminative ability (C-statistic 0·60).[8] Predictors in their final model included the number of AKs, anatomical location of AKs and coffee consumption. While the majority of AKs arise on chronically sun-exposed areas including the head/neck and upper extremities, in the proposed prediction model, AK lesions located on anatomical sites other than the head/neck or upper extremities were associated with a higher risk of developing KC. The authors reported that coffee consumption reduced KC risk; however, the level of support is limited, as indicated by the confidence interval in the multivariable analyses. Observational studies on the association between coffee intake and KC risk have shown conflicting results, although two recent meta-analyses reported a protective effect against BCC development.[9,10] Future studies are needed to replicate the effect of coffee consumption in patients with AK. The authors investigated the impact of a genetic risk score generated from seven BCC- and cutaneous SCC-associated single-nucleotide polymorphisms (SNPs) in their model selection: BNC2/CNTLN, TYR, IRF4, HERC2, MC1R, SLC45A2 and RALY/ASIP. However, this score ultimately did not meet the criteria for inclusion in the final model. Three of these SNPs (TYR, IRF4 and MC1R) were also associated with AK risk in a previous genome-wide association study, and perhaps the choice of SNPs for the genetic risk score might have impacted its lack of inclusion in the final model.[11] Future genetic studies are warranted to improve the model’s discriminative ability. Although these findings need to be externally validated, this work paves the way for a prediction of KCs developing in patients with AK by providing a risk prediction model and a tool to quantify the combined contribution of the risk factors. This tool integrated readily accessible factors and can be used to aid identification of patients in need of increased skin cancer prevention efforts and dermatological surveillance. Future studies may help validate and optimize this risk prediction model and tool.
  11 in total

1.  A Model to Predict the Risk of Keratinocyte Carcinomas.

Authors:  David C Whiteman; Bridie S Thompson; Aaron P Thrift; Maria-Celia Hughes; Chiho Muranushi; Rachel E Neale; Adele C Green; Catherine M Olsen
Journal:  J Invest Dermatol       Date:  2016-02-22       Impact factor: 8.551

2.  IRF4, MC1R and TYR genes are risk factors for actinic keratosis independent of skin color.

Authors:  Leonie C Jacobs; Fan Liu; Luba M Pardo; Albert Hofman; André G Uitterlinden; Manfred Kayser; Tamar Nijsten
Journal:  Hum Mol Genet       Date:  2015-02-27       Impact factor: 6.150

Review 3.  Coffee, tea and caffeine intake and the risk of non-melanoma skin cancer: a review of the literature and meta-analysis.

Authors:  Saverio Caini; Maria Sofia Cattaruzza; Benedetta Bendinelli; Giulio Tosti; Giovanna Masala; Patrizia Gnagnarella; Melania Assedi; Ignazio Stanganelli; Domenico Palli; Sara Gandini
Journal:  Eur J Nutr       Date:  2016-07-07       Impact factor: 5.614

4.  Predictors for cutaneous basal- and squamous-cell carcinoma among actinically damaged adults.

Authors:  J A Foote; R B Harris; A R Giuliano; D J Roe; T E Moon; B Cartmel; D S Alberts
Journal:  Int J Cancer       Date:  2001-01-20       Impact factor: 7.396

5.  A Prediction Tool to Facilitate Risk-Stratified Screening for Squamous Cell Skin Cancer.

Authors:  Wei Wang; Eric Jorgenson; Nilah M Ioannidis; Maryam M Asgari; Alice S Whittemore
Journal:  J Invest Dermatol       Date:  2018-07-02       Impact factor: 8.551

6.  Predicting the Risk of a Second Basal Cell Carcinoma.

Authors:  Joris A C Verkouteren; Hilde Smedinga; Ewout W Steyerberg; Albert Hofman; Tamar Nijsten
Journal:  J Invest Dermatol       Date:  2015-03-03       Impact factor: 8.551

7.  Coffee consumption and risk of nonmelanoma skin cancer: a dose-response meta-analysis.

Authors:  Golnaz Vaseghi; Shaghayegh Haghjoo-Javanmard; Jamal Naderi; Azadeh Eshraghi; Manijeh Mahdavi; Marjan Mansourian
Journal:  Eur J Cancer Prev       Date:  2018-03       Impact factor: 2.497

8.  Are actinic keratoses really squamous cell cancer? How do we know if they would become malignant?

Authors:  Claudio Conforti; Emanuela Beninati; Caterina Dianzani
Journal:  Clin Dermatol       Date:  2017-08-31       Impact factor: 3.541

9.  Actinic keratoses: Natural history and risk of malignant transformation in the Veterans Affairs Topical Tretinoin Chemoprevention Trial.

Authors:  Vincent D Criscione; Martin A Weinstock; Mark F Naylor; Claudia Luque; Melody J Eide; Stephen F Bingham
Journal:  Cancer       Date:  2009-06-01       Impact factor: 6.860

10.  Predicting keratinocyte carcinoma in patients with actinic keratosis: development and internal validation of a multivariable risk-prediction model.

Authors:  S Tokez; M Alblas; T Nijsten; L M Pardo; M Wakkee
Journal:  Br J Dermatol       Date:  2020-02-26       Impact factor: 9.302

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