A cancer registry-based analysis on the non-white populations reveals a critical role of the female sex in early-onset melanoma

Yuan, Tze-An; Meyskens, Frank L.; Liu‐Smith, Feng

doi:10.1007/s10552-018-1022-3

Cited by 12 publications

(10 citation statements)

References 45 publications

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“…We and others have previously reported that the unadjusted age-specific female to male IRRs exhibited a spiked difference around the age of 20–24 years in both the white and non-white populations [4,26], with non-whites showing a slight shift of age from 20–39 years [26]. This trend was, again, observed in three out of four major body sites in whites, and all four body sites in non-whites (Figure 2A,B).…”

Section: Resultsmentioning

confidence: 99%

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Race-, Age-, and Anatomic Site-Specific Gender Differences in Cutaneous Melanoma Suggest Differential Mechanisms of Early- and Late-Onset Melanoma

Yuan

Edwards

et al. 2019

IJERPH

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In order to explore melanoma risk factors through gender-, age-, race-, and site-specific incidence rates, malignant melanoma cases from the Caucasian whites and non-whites were retrieved from the US SEER database. Age-standardized, age-, and site-specific tumor rates were calculated. All races and both genders showed positive annual average percentage changes (AAPCs) over the years, but AAPCs varied at different body sites, with men’s trunk exhibiting the fastest increase. Non-whites were diagnosed at a significantly younger age than whites and showed a trend towards fewer gender differences in the age of diagnosis. However, non-whites and whites showed a similar pattern of age-specific gender differences in the incidence rate ratios. A consistent spiked difference (female vs. male, incidence rate ratio (IRR) >2) was observed at or near the age of 20–24 in all race groups and at all body sites. The highest female vs. male IRR was found in the hip and lower extremities, and the lowest IRR was found in the head and neck region in all races. These race-, gender-, and site-dependent differences suggest that age-associated cumulative sun exposure weighs significantly more in late-onset melanomas, while genetics and/or pathophysiological factors make important contributions to early-onset melanomas.

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Section: Resultsmentioning

confidence: 99%

“…Age-standardized rates were adjusted to the US 2000 standard population. The rate ratios were calculated using female incidence rates divided by male rates as previously described [26]. The 95% confidence intervals of the rate ratios were calculated by Stata (version 13.1, StataCorp LLC, College Station, Texas, USA) [27].…”

Section: Methodsmentioning

confidence: 99%

Race-, Age-, and Anatomic Site-Specific Gender Differences in Cutaneous Melanoma Suggest Differential Mechanisms of Early- and Late-Onset Melanoma

Yuan

Edwards

et al. 2019

IJERPH

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“…However, a recent study found that female sex may be an independent risk factor for early-onset melanoma, independent of ultraviolet radiation exposure (Liu-Smith and Ziogas, 2017). Furthermore, nonwhite female subjects aged < 40 years were found to have an elevated risk of melanoma compared with male subjects of the same age, which suggests that tanning bed usage alone may not explain this increased risk (Yuan et al, 2018).…”

Section: Resultsmentioning

confidence: 99%

Beyond the physician’s perspective: A review of patient-reported outcomes in dermatologic surgery and cosmetic dermatology

Mori

Lee

2019

International Journal of Women's Dermatology

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Patient-reported outcome measures (PROMs) are utilized in health care to quantify the patient’s perspective of a health condition or treatment on outcomes, such as health-related quality of life (HRQoL) and patient satisfaction. In dermatology, this is particularly relevant because the patient’s perspective is critical in evaluating the outcome of cosmetic procedures as well as skin cancer treatment. We review seven validated PROMs that have been reported in the dermatologic surgery and cosmetic dermatology literature. For patients undergoing cosmetic procedures, the use of PROMs provides additional valuable outcome data beyond physician assessment. For patients with skin cancer, women experience a unique and often greater impact on HRQoL during treatment, which has been captured through PROMs. The recent development of multi-module instruments, such as the FACE-Q and FACE-Q Skin Cancer, have facilitated comprehensive assessments of treatment that impact multiple domains of HRQoL. The use of PROMs allows for dermatologists to reliably capture important disease- and treatment-related concerns, thus improving the patient experience.

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“…The GENEVA samples were potentially able to call all potential SNPs, and therefore, this might be another reason that we could not replicate the findings. Nevertheless, as demonstrated in our series of publications [2][3][4]7,81], the gender difference in melanoma incidence is significant but not yet fully explained. Meanwhile, studies on hormone impact on melanoma are still ongoing in our lab and other research groups.…”

Section: Discussionmentioning

confidence: 69%

A Possible Link of Genetic Variations in ER/IGF1R Pathway and Risk of Melanoma

Yuan

Yourk

Farhat

et al. 2020

IJMS

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The mechanism of gender disparity in cutaneous melanoma incidence remains unclear. Steroid hormones including estrogens have long been implicated in the course of melanoma, but the conclusion is controversial. Estrogen receptors (ERs) and insulin-like growth factor 1 receptor (IGF1R) show extensive crosstalk in cancer development, but how the ER/IGF1R network impacts melanoma is currently unclear. Here we studied the melanoma associations of selected SNPs from the ER/IGF1R network. Part of the International Genes, Environment, and Melanoma (GEM) cohort was used as a discovery set, and the Gene Environment Association Studies Initiative (GENEVA) dataset served as a validation set. Based on the associations with other malignant disease conditions, thirteen single nucleotide polymorphism (SNP) variants in ESR1, ESR2, IGF1, and IGF1R were selected for candidate gene association analyses. The rs1520220 in IGF1 and rs2229765 in IGF1R variants were significantly associated with melanoma risk in the GEM dataset after Benjamini-Hochberg multiple comparison correction, although they were not validated in the GENEVA set. The discrepancy may be caused by the multiple melanoma characteristics in the GEM patients. Further analysis of gender disparity was carried out for IGF1 and IGF1R SNPs in the GEM dataset. The GG phenotype in IGF1 rs1520220 (recessive model) presented an increased risk of melanoma (OR = 8.11, 95% CI: 2.20, 52.5, p = 0.006) in men but a significant opposite effect in women (OR = 0.15, 95% CI: 0.018, 0.86, p = 0.045). The AA genotype in IGF1R rs2229765 (recessive model) showed a significant protective effect in men (OR = 0.24, 95% CI: 0.07, 0.64, p = 0.008) and no effect in women. Results from the current study are warranted for further validation.

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A cancer registry-based analysis on the non-white populations reveals a critical role of the female sex in early-onset melanoma

Abstract: Our results highlight the importance of gender as one of the melanoma risk factors beyond traditional UV radiation, which warrants further investigation and may provide a base for an improved prevention strategy.

Cited by 12 publications

References 45 publications

Race-, Age-, and Anatomic Site-Specific Gender Differences in Cutaneous Melanoma Suggest Differential Mechanisms of Early- and Late-Onset Melanoma

Race-, Age-, and Anatomic Site-Specific Gender Differences in Cutaneous Melanoma Suggest Differential Mechanisms of Early- and Late-Onset Melanoma

Beyond the physician’s perspective: A review of patient-reported outcomes in dermatologic surgery and cosmetic dermatology

A Possible Link of Genetic Variations in ER/IGF1R Pathway and Risk of Melanoma

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