
Current public health advice is that high ultraviolet radiation (UVR) exposure is the primary cause of Malignant Melanoma of skin (CMM), however, despite the use of sun-blocking products incidence of melanoma is increasing. To investigate the UVR influence on CMM incidence worldwide WHO, United Nations, World Bank databases and literature provided 182 country-specific melanoma incidence estimates, daily UVR levels, skin colour (EEL), socioeconomic status (GDP PPP), magnitude of reduced natural selection (Ibs), ageing, urbanization, percentage of European descendants (Eu%), and depigmentation (blonde hair colour), for parametric and non-parametric correlations, multivariate regressions and analyses of variance. Worldwide, UVR levels showed negative correlation with melanoma incidence (“rho” = −0.515, p < 0.001), remaining significant and negative in parametric partial correlation (r = −0.513, p < 0.001) with other variables kept constant. After standardising melanoma incidence for Eu%, melanoma correlation with UVR disappeared completely (“rho” = 0.004, p = 0.967, n = 127). The results question classical views that UVR causes melanoma. No correlation between UVR level and melanoma incidence was present when Eu% (depigmented or light skin type) was kept statistically constant, even after adjusting for other known variables. Countries with lower UVR levels and more Eu% (depigmented or light skin people) have higher melanoma incidence. Critically, this means that individual genetic low skin pigmentation factors predict melanoma risk regardless of UVR exposure levels, and even at low-UVR levels.
Citation: Wenpeng You, Renata Henneberg, Brendon J Coventry, Maciej Henneberg. Cutaneous malignant melanoma incidence is strongly associated with European depigmented skin type regardless of ambient ultraviolet radiation levels: evidence from Worldwide population-based data[J]. AIMS Public Health, 2022, 9(2): 378-402. doi: 10.3934/publichealth.2022026
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Current public health advice is that high ultraviolet radiation (UVR) exposure is the primary cause of Malignant Melanoma of skin (CMM), however, despite the use of sun-blocking products incidence of melanoma is increasing. To investigate the UVR influence on CMM incidence worldwide WHO, United Nations, World Bank databases and literature provided 182 country-specific melanoma incidence estimates, daily UVR levels, skin colour (EEL), socioeconomic status (GDP PPP), magnitude of reduced natural selection (Ibs), ageing, urbanization, percentage of European descendants (Eu%), and depigmentation (blonde hair colour), for parametric and non-parametric correlations, multivariate regressions and analyses of variance. Worldwide, UVR levels showed negative correlation with melanoma incidence (“rho” = −0.515, p < 0.001), remaining significant and negative in parametric partial correlation (r = −0.513, p < 0.001) with other variables kept constant. After standardising melanoma incidence for Eu%, melanoma correlation with UVR disappeared completely (“rho” = 0.004, p = 0.967, n = 127). The results question classical views that UVR causes melanoma. No correlation between UVR level and melanoma incidence was present when Eu% (depigmented or light skin type) was kept statistically constant, even after adjusting for other known variables. Countries with lower UVR levels and more Eu% (depigmented or light skin people) have higher melanoma incidence. Critically, this means that individual genetic low skin pigmentation factors predict melanoma risk regardless of UVR exposure levels, and even at low-UVR levels.
World Health Organization;
International Classification of Diseases;
Malignant melanoma coded as C43 as per International Classification of Diseases;
cutaneous malignant melanoma, a common abbreviation of C43 in academics;
The United Nations;
Biological State Index;
Gross Domestic Product at Purchasing Power Parity;
Ultraviolet radiation;
Socioeconomic status;
basal cell carcinoma;
squamous cell carcinoma
Rice bran is an agricultural by-product obtained after rice milling process, which accumulates more than 180, 000 cubic tons per year. There are many products from rice bran such as rice bran oil, animal feed, ingredient for cosmetics, etc. Rice bran has high nutritious chemical compositions with protein, lipid, carbohydrate, fiber, and vitamin B as detailed in previous reports [1,2]. Including many bioactive compounds as gamma-oryzanol, tocopherol, tocotrienol, adenosine, and ferulic acid which played an important role as a functional food. Moreover, there are many investigations of rice bran with health benefits including blood cholesterol reduction, cardio protective, and anticancer effects, etc. [3,4,5]. Consequently, rice bran becomes more interesting agricultural residue for the food and pharmaceutical industry applications.
Lactic acid bacteria (LAB) also known as probiotic that live in digestive systems, such as Lactobacillus and Bifidobacterium. LAB has an important role in benefitting human and animal health that well documented with the effect of gastrointestinal pathogen inhibition, the production of antimicrobial metabolites, the immune response enhancement, the improvement of lactose metabolism and the colon cancer prevention [6].
Solid state fermentation (SSF) is a biochemical process of biomass conversion by microorganism on solid material with limited free liquid. SSF has more advantages over submerged fermentation especially with higher fermentation productivity and better product functionalities as bioactivity and bioavailability during the fermentation process. Many SSF applications have been developed the agricultural by products as substrates in order to adding the value to products such as rice bran, sugar cane bagasse, coffee grounds, cassava waste, soybean cake, etc. [7].
By the reason of rice bran is an inexpensive which highly available natural source and comprises of many bioactive compounds. This study aims to evaluate the rice bran extract from SSF by LAB with different moisture contents following determine total polysaccharide, total phenolic content, and the antioxidant activity then further investigate the composition of phenolic compounds by HPLC analysis.
Two rice bran strains for this study were Khao Bahn Nah and Thai jasmine from Prachin Buri province, Thailand. Probiotic strains: L. casei TISTR 1463 and L. plantarum TISTR 1465 were cultivated in Man Rogosa Sharpe medium (MRS) from Himedia (Mumbai, India). All other chemicals used were analytical grade and purchased from Sigma-Aldrich (Saint Luis, USA) and Carlo ERBA (Val de Reuil, France).
Rice bran was dried in an oven at 105 ℃ for 24 h and prepared 30 g in each flask, then autoclaved at 121 ℃ for 15 minutes. After that, the rice bran was adjusted the moisture content into 50 and 75% w/v by sterilized water. L. casei and L. plantarum were grown at 37 ℃ for 48 h under anaerobic condition in MRS broth and determined the optical cell density with a spectrophotometer at 600 nm, then equal to 1.0 (previously estimated about 108 CFU/mL by Trabelsi et al. [8]) for applying as an inoculum. LAB was separately inoculated by adding into the prepared rice bran in a ratio of 10% w/v then subjected to incubation at 37 ℃ for 72 h. Five grams of each sample was taken every 24 h then extracted by adding 50 mL of 70% v/v ethanol further incubated in a shaker at room temperature, 200 ×g for 24 h. All extracted samples were centrifuged at 16, 000 ×g for 20 minutes at room temperature, after that evaporated by a rotary evaporator at 50 ℃, 100 ×g, then stored the samples at 4 ℃ for further determination with triplicate analysis.
The total polysaccharide content of the rice bran extracts were determined by the phenol sulfuric acid according Dubois method [9]. Prepared an appropriate diluted sample 0.25 mL in a test tube, then immediately added 1.25 mL of concentrated sulfuric acid (95% v/v) and 0.25 mL of 5% v/v phenol. A mixture was heated at 90 ℃ for 5 minutes then cooled until it reached to room temperature. A colorimetric of rice bran sample performed the total polysaccharide content by monitoring an absorbance at 490 nm. The standard and blank were prepared in the same way as the analyzed sample, except for adding 0.25 mL glucose standard and 0.25 mL distilled water instead of the sample, respectively.
The rice bran extracts were determined total phenolic compound by Folin-Ciocalteu assay from modified method of Yee et al. [10]. After the extraction process, an aliquot (0.04 mL) of extracted rice bran was mixed with 0.2 mL Folin-Ciocalteu reagent and 0.26 mL distilled water, left in a room temperature for 8 minutes. After that 0.6 M sodium bicarbonate (0.5 mL) was added into the reaction mixture and incubated in a dark room temperature for 2 h, then determined the absorbance at 725 nm. Gallic acid was prepared and analyzed in the same way as the rice bran extracts which was used as a standard for phenolic content calculation.
The antioxidant activity was examined by DPPH assay, which described from the previous protocol [11]. The rice bran extract (0.12 mL) was mixed with freshly prepared 0.5 mM DPPH reagent in methanol (1.08 mL), then left in a darkness room for 30 minutes and measured the absorbance at 517 nm. DPPH in methanol was used as a blank for calculation the percentage of antioxidant activity (% DPPH inhibition) by following equation:
(1) |
The quantifying composition of the rice bran extracts were analyzed by HPLC that is described elsewhere in Brum et al. [12]. HPLC system (Thermo Fisher Scientific, USA) coupled UV/visible detector were used with a column of Thermo Hypersil Gold (4.6 mm × 150 mm, 3 µm) at 40 ℃ with 2% v/v of acetic acid in methanol solution as a mobile phase at a constant flow rate of 0.7 mL/min. The samples were analyzed with differential refractometer. All standard compounds as tocopherol, gamma-oryzanol, coumaric acid, and ferulic acid were used for peak identification.
One-way Analysis of Variance (ANOVA) test was performed with SPSS program for Windows, V.21 (SPSS, Chicago, IL, USA). Differences with a probability value of < 0.05 were considered significant and all data were reported as mean ± SD.
After the rice brans were SSF by different LAB and moisture contents, the fermented samples were collected and extracted by ethanol, then stored at 4 ℃ for further analytical studies as shown below.
The total polysaccharide of the rice bran extracts from SSF by different LAB and moisture contents showed in Fig. 1. In the condition without SSF (blank) presented a high total polysaccharide along the fermentation period when compared with the rice bran extracts from SSF by both LAB significantly (p < 0.05). Thai jasmine without SSF at 75% w/v moisture exhibited the highest total polysaccharide as 38.77 mg/mL after 72 h, while the rice bran extracts with SSF showed a lower total polysaccharide with a longer incubation period. The rice bran extracts from Khao Bahn Nah with SSF by L. casei at 50% w/v moisture (Figure 1A) presented a high total polysaccharide as 29.69 mg/mL at 24 h then total polysaccharide decreased after 48 and 72 h (25.63 and 18.85 mg/mL), which has the same tendency as the rice bran extracts from Thai jasmine with SSF by both LAB (Figure 1B). Noticeably, both strains of rice extracts by L. plantarum displayed a lower total polysaccharide than L. casei. The lowest total polysaccharide was in the condition of Thai jasmine with L. plantarum at 75% w/v moisture after 72 h (2.44 mg/mL). The reduction of total polysaccharide along the SSF period can be explained that LAB was using carbohydrate during the fermentation for their growth lead to lower total polysaccharide in the rice extract samples with SSF. These results are consistent with those of Saman et al. [13] who found the reducing sugar was decreased after 48 hours when inoculated L. plantarum NCIMB8826 with whole grain brown rice and rice bran, while L. plantarum grew well and reached to a maximum value at 30 h.
The rice bran extracts from SSF by both LAB with different moisture contents (Figure 2) displayed a significant increase amount of phenolic content when compared with both strains of the rice bran extracts without SSF (p < 0.05). Khao Bahn Nah extract with SSF by L. plantarum (Figure 2A) at 50% w/v moisture for 48 hours presented the highest total phenolic content (2.88 mg/mL). Observable, the rice bran extracts of all SSF conditions showed higher total phenolic content at 48 hours of incubation than the other periods. This may explain by the maximum LAB growth at 48 hours from the previous report of Nisa et al. [14] that also discovered the maximum amount of total phenolic content at 48 h as well in the fermented rice bran with L. plantarum (FNCC 0027) and L. lactic (FNCC 0080). Furthermore, SSF technique has successfully performed to increase phenolic compounds by microorganism fermented rice bran with Rhizopus oryzae (CT1217) which provided a high quality of rice bran extract and biological activity compared to unfermented rice bran following the description by Schmidt et al. [15].
The antioxidant activity results in Figure 3 exposed both strains of rice bran extracts without SSF (blank) had a significant lower antioxidant activity (about 45%-56%) than the rice bran extracts with SSF (p > 0.05). Whereas the rice bran extracts from Thai jasmine and Khao Bahn Nah with SSF by L. casei at 50% w/v moisture for 48 hours displayed the highest percentage of antioxidant activities as 78.79% and 78.49%. A similar study was conducted from Zubaidah et al. [16] that investigated the antioxidant activity from the fermented rice bran and skim milk by L. plantarum J2 and L. casei. From the results, the rice bran extracts from the fermentation by LAB displayed a high antioxidant activity of 88.86%, while the antioxidant activity from fermented skim milk was at only 30.13%. This could be interpreted as during the SSF process, biocatalyst from microorganism would cleave the bonds between phenolic compounds and other substances then subjected to enhance the antioxidant activity. As in the experiment of Cheng et al. [17] which inspected the high value of total phenolic content, total flavonoid content conversion, and their antioxidant activity during the fermentation process of the rice bran with Monascus pilosus KCCM60084.
In this study, the fermented rice bran extracts by both LAB disclosed lower total polysaccharide, even though the phenolic content and antioxidant activity revealed higher value than rice bran extracts without SSF. These results may differ from some research reports [18,19] that described the polysaccharide from natural sources considering the antioxidant effectiveness. By the way, there is a possibility of no correlation between the increasing of polysaccharide content and the high performance of antioxidant activity, since LAB growth is one of the main factors affecting the reduction of polysaccharide concentration. Besides, the polysaccharide is subjected to transform into other bioactive compounds along the SSF process and contribute to the improvement of antioxidant properties as observed by Magro et al. [20] and Ayyash et al. [21].
According to the analytical results of this study, the rice bran extracts with 50% w/v moisture at 48 hours presented high phenolic content along with very effective antioxidant activity. Under these conditions, six rice bran extract samples were selected for HPLC analysis: A = Khao Bahn Nah without SSF (blank), B = Khao Bahn Nah with SSF by L. casei, C = Khao Bahn Nah with SSF by L. plantarum, D = Thai jasmine without SSF (blank), E = Thai jasmine with SSF by L. casei, and F = Thai jasmine with SSF by L. plantarum. The standard compounds as tocopherol, gamma-oryzanol, coumaric acid, and ferulic acid, were used for peak identification in order to compare the quantity of the rice bran extract samples. From Table 1 tocopherol, gamma-oryzanol, and ferulic acid were found in all rice bran extract samples in their compositions. Only in the sample E displayed coumaric acid at 14.47 mg/L with high level of ferulic acid (35.23 mg/L). Increasing of ferulic acid during the fermentation had been investigated in the previous research of Huang and Lai [22] that analyzed the bioactive compounds from four strains of Taiwan rice bran and two strains of Thai rice bran, after the fermentation process, all rice brans demonstrated high concentration of ferulic acid. As well to that documented by Rashid et al. [23] who evaluated the composition of bioactive compounds which revealed many phenolic compounds and organic acids (such as alpha-tocopherol, gamma-oryzanol, ferulic acid, ascorbic acid, etc.) of the fermented rice bran with LAB by HPLC analysis.
Sample | Tocopherol | Gamma-oryzanol | Coumaric acid | Ferulic acid |
A | 3.69 ± 0.29c | 1.55 ± 0.74c | ND | 18.91 ± 0.60d |
B | 8.75 ± 1.11a | 2.57 ± 0.56ab | ND | 30.93 ± 0.81b |
C | 4.09 ± 0.17c | 1.44 ± 0.36c | ND | 19.39 ± 0.56d |
D | 3.35 ± 0.97c | 1.69 ± 0.35ab | ND | 18.86 ± 1.05d |
E | 4.51 ± 0.38c | 3.16 ± 0.15a | 14.47 ± 1.20 | 35.23 ± 0.82a |
F | 7.10 ± 0.23b | 2.31 ± 0.65abc | ND | 21.61 ± 0.66c |
ND = not detected. Data are expressed as mean ± SD and the values in the same column with different letters are significantly different at p < 0.05. |
From this study, two rice bran strains (Khao Bahn Nah and Thai jasmine) were SSF by LAB (L. casei and L. plantarum) with different moisture contents (50% and 75% w/v) for 72 h. The rice bran extracts were evaluated total polysaccharide, total phenolic content, antioxidant activity, and their composition by HPLC analysis. Total polysaccharide in the fermented rice bran extract was lower than those without SSF since LAB growth during the fermentation causes the polysaccharide decreased in the fermented rice bran extract. However, considering of phenolic content and antioxidant activity, all fermented rice bran extracts exposed with higher antioxidant property aspect than the samples without SSF. Specifically, the fermented Khao Bahn Nah extract by L. plantarum with 50% w/v moisture demonstrated a great amount of total phenolic content after 48 h. As the same SSF incubation time and moisture content, both fermented rice bran extract strains by L. casei performed high efficiency of antioxidant activity. Tocopherol, gamma-oryzanol, and ferulic acid were found in all rice bran extract samples, mostly in the fermented Thai jasmine extract by L. casei with 50% w/v moisture expressed with high quantity of coumaric acid, and ferulic acid compared with the other rice bran extract samples. Overall, the results from this study indicate that the rice bran extract from SSF by LAB can establish the varieties of phenolic compounds and enhance the potential of antioxidant activity which could be applied further as functional food products and value added to the agricultural residues in Thailand.
The authors would like to thank Miss Duangkamon Sangiamdee from the Chemistry Department, Ramkhamhaeng University for HPLC analysis. Financial support from Ramkhamhaeng University is gratefully acknowledged.
The authors declare no conflict of interest.
[1] |
Hayward NK, Wilmott JS, Waddell N, et al. (2017) Whole-genome landscapes of major melanoma subtypes. Nature 545: 175-180. https://doi.org/10.1038/nature22071 ![]() |
[2] | National Cancer InstituteMelanoma Treatment (PDQ®) Health Professional Version. |
[3] | IARCEstimated number of new cases in 2020, melanoma of skin, both sexes, all ages (2022). Available from: https://gco.iarc.fr/today/online-analysis-table?v=2020&mode=population&mode_population=countries&population=900&populations=900&key=asr&sex=0&cancer=16&type=0&statistic=5&prevalence=0&population_group=0&ages_group%5B%5D=0&ages_group%5B%5D=17&group_cancer=1&include_nmsc=1&include_nmsc_other=1 |
[4] | Matthews NH, Li WQ, Qureshi AA, et al. (2017) Epidemiology of melanoma. Exon Publ 1: 3-22. https://doi.org/10.15586/codon.cutaneousmelanoma.2017.ch1 |
[5] |
Berwick M, Wiggins C (2006) The current epidemiology of cutaneous malignant mel-anoma. Front Biosci 11: 1244-1254. https://doi.org/10.2741/1877 ![]() |
[6] | Stewart BW (2014) World Cancer Report 2014. FRA: International Agency for Research on Cancer. |
[7] | Azoury SC, Lange JR (2014) Epidemiology, risk factors, prevention, and early detection of melanoma. Surg Clin 94: 945-962. https://doi.org/10.1016/j.suc.2014.07.013 |
[8] |
Armstrong BK, Kricker A (1993) How much melanoma is caused by sun exposure?. Melanoma Res 3: 395-401. https://doi.org/10.1097/00008390-199311000-00002 ![]() |
[9] |
La Vecchia C, Lucchini F, Negri E, et al. (1999) Recent declines in worldwide mortality from cutaneous melanoma in youth and middle age. Int J Cancer 81: 62-66. https://doi.org/10.1002/(SICI)1097-0215(19990331)81:1<62::AID-IJC12>3.0.CO;2-2 ![]() |
[10] | Coleman MP, Esteve J, Damiecki P, et al. (1993) Trends in cancer incidence and mortality. IARC Sci Publ 121: 1-806. https://doi.org/10.3109/9780415874984-2 |
[11] |
Erdei E, Salina M Torres (2010) A new understanding in the epidemiology of melanoma. Expert Rev Anticancer Ther 10: 1811-1823. https://doi.org/10.1586/era.10.170 ![]() |
[12] |
Gandini S, Sera F, Cattaruzza MS, et al. (2005) Meta-analysis of risk factors for cutaneous melanoma: I. Common and atypical naevi. Eur J Cancer 41: 28-44. https://doi.org/10.1016/j.ejca.2004.10.015 ![]() |
[13] |
Veierød MB, Adami HO, Lund E, et al. (2010) Sun and solarium exposure and melanoma risk: effects of age, pigmentary characteristics, and nevi. Cancer Epidem Biomar 19: 111-120. https://doi.org/10.1158/1055-9965.EPI-09-0567 ![]() |
[14] |
Gandini S, Sera F, Cattaruzza MS, et al. (2005) Meta-analysis of risk factors for cutaneous melanoma: III. Family history, actinic damage and phenotypic factors. Eur J Cancer 41: 2040-2059. https://doi.org/10.1016/j.ejca.2005.03.034 ![]() |
[15] |
Markovic SN, Erickson LA, Rao RD, et al. (2007) Malignant melanoma in the 21st century, part 1: epidemiology, risk factors, screening, prevention, and diagnosis. Mayo Clin Proc 82: 364-380. https://doi.org/10.1016/S0025-6196(11)61033-1 ![]() |
[16] |
D'Orazio J, Jarrett S, Amaro-Ortiz A, et al. (2013) UV radiation and the skin. Int J Mol Sci 14: 12222-12248. https://doi.org/10.3390/ijms140612222 ![]() |
[17] |
Kricker A, Armstrong BK, Goumas C, et al. (2007) Ambient UV, personal sun exposure and risk of multiple primary melanomas. Cancer Cause Control 18: 295-304. https://doi.org/10.1007/s10552-006-0091-x ![]() |
[18] |
Wu S, Han J, Laden F, et al. (2014) Long-term ultraviolet flux, other potential risk factors, and skin cancer risk: a cohort study. Cancer Epidem Biomar 23: 1080-1089. https://doi.org/10.1158/1055-9965.EPI-13-0821 ![]() |
[19] |
Pfahlberg A, Kölmel KF (2001) Timing of excessive ultraviolet radiation and melanoma: epidemiology does not support the existence of a critical period of high susceptibility to solar ultraviolet radiation-induced melanoma. Brit J Dermatol 144: 471-475. https://doi.org/10.1046/j.1365-2133.2001.04070.x ![]() |
[20] |
Kennedy C, Willemze R, de Gruijl FR, et al. (2003) The influence of painful sunburns and lifetime sun exposure on the risk of actinic keratoses, seborrheic warts, melanocytic nevi, atypical nevi, and skin cancer. J Invest Dermatol 120: 1087-1093. https://doi.org/10.1046/j.1523-1747.2003.12246.x ![]() |
[21] | Ghiasvand R, Rueegg CS, Weiderpass E, et al. (2017) Indoor tanning and melanoma risk: long-term evidence from a prospective population-based cohort study. Am J Epidemiol 185: 147-156. https://doi.org/10.1093/aje/kww148 |
[22] |
Colantonio S, Bracken MB, Beecker J (2014) The association of indoor tanning and melanoma in adults: systematic review and meta-analysis. J Am Acad Dermatol 70: 847-857. https://doi.org/10.1016/j.jaad.2013.11.050 ![]() |
[23] |
Lazovich DA, Vogel RI, Berwick M, et al. (2010) Indoor tanning and risk of melanoma: a case-control study in a highly exposed population. Cancer Epidem Biomar 19: 1557-1568. https://doi.org/10.1158/1055-9965.EPI-09-1249 ![]() |
[24] |
Fritschi L, Driscoll T (2006) Cancer due to occupation in Australia. Aust Nz J Publlic Health 30: 213-219. https://doi.org/10.1111/j.1467-842X.2006.tb00860.x ![]() |
[25] |
Thomas NE, Edmiston SN, Alexander A, et al. (2007) Number of nevi and early-life ambient UV exposure are associated with BRAF-mutant melanoma. Cancer Epidem Biomar 16: 991-997. https://doi.org/10.1158/1055-9965.EPI-06-1038 ![]() |
[26] |
Thomas NE, Berwick M, Cordeiro-Stone M (2006) Could BRAF mutations in melanocytic lesions arise from DNA damage induced by ultraviolet radiation?. J Invest Dermatol 126: 1693-1696. https://doi.org/10.1038/sj.jid.5700458 ![]() |
[27] |
Poynter JN, Elder JT, Fullen DR, et al. (2006) BRAF and NRAS mutations in melanoma and melanocytic nevi. Melanoma Res 16: 267-273. https://doi.org/10.1097/01.cmr.0000222600.73179.f3 ![]() |
[28] |
Rigel DS, Rigel EG, Rigel AC (1999) Effects of altitude and latitude on ambient UVB radiation. J Am Acad Dermatol 40: 114-116. https://doi.org/10.1016/S0190-9622(99)70542-6 ![]() |
[29] |
Aceituno-Madera P, Buendía-Eisman A, Olmo FJ, et al. (2011) Melanoma, altitude, and UV-B radiation. Actas Dermo Sifiliogr 102: 199-205. https://doi.org/10.1016/j.ad.2010.08.003 ![]() |
[30] |
Wang SQ, Setlow R, Berwick M, et al. (2001) Ultraviolet A and melanoma: a review. J Am Acad Dermatol 44: 837-846. https://doi.org/10.1067/mjd.2001.114594 ![]() |
[31] |
Thomas NE (2006) BRAF somatic mutations in malignant melanoma and melanocytic naevi. Melanoma Res 16: 97-103. https://doi.org/10.1097/01.cmr.0000215035.38436.87 ![]() |
[32] | WHOGlobal Health Observatory, the data repository (2015). Available from: https://www.who.int/data/gho/data/indicators/indicator-details/GHO/uv-radiation |
[33] | Ferlay J, Ervik M, Lam F, et al. Cancer Today (powered by GLOBOCAN 2018) (2018). |
[34] |
Godar DE, Subramanian M, Merrill SJ (2017) Cutaneous malignant melanoma incidences analyzed worldwide by sex, age, and skin type over personal Ultraviolet-B dose shows no role for sunburn but implies one for Vitamin D3. Dermato-endocrinology 9: e1267077. https://doi.org/10.1080/19381980.2016.1267077 ![]() |
[35] |
De Gruijl FR (2002) Photocarcinogenesis: UVA vs. UVB radiation. Skin Pharmacol Phys 15: 316-320. https://doi.org/10.1159/000064535 ![]() |
[36] | Mueller N (1999) Overview of the epidemiology of malignancy in immune deficiency. JAIDS-J Acq Imm Def 21: S5-S10. https://doi.org/10.1097/00126334-199905010-00022 |
[37] |
Dréau D, Culberson C, Wyatt S, et al. (2000) Human papilloma virus in melanoma biopsy specimens and its relation to melanoma progression. Ann Surg 231: 664. https://doi.org/10.1097/00000658-200005000-00006 ![]() |
[38] |
Gravitt PE, Rositch AF, Silver MI, et al. (2013) A cohort effect of the sexual revolution may be masking an increase in human papillomavirus detection at menopause in the United States. J Infect Dis 207: 272-280. https://doi.org/10.1093/infdis/jis660 ![]() |
[39] | Godar DE (2021) UV and reactive oxygen species activate human papillomaviruses causing skin cancers. Chall Sun Prot 55: 339-353. https://doi.org/10.1159/000517643 |
[40] |
Hengge UR (2008) Role of viruses in the development of squamous cell cancer and melanoma. Adv Exp Med Biol 624: 179-186. https://doi.org/10.1007/978-0-387-77574-6_14 ![]() |
[41] |
Green AC, Williams GM, Logan V, et al. (2011) Reduced melanoma after regular sunscreen use: randomized trial follow-up. J Clin Oncol 29: 257-263. https://doi.org/10.1200/JCO.2010.28.7078 ![]() |
[42] |
Dennis LK, Beane Freeman LE, VanBeek MJ (2003) Sunscreen use and the risk for melanoma: a quantitative review. Ann Intern Med 139: 966-978. https://doi.org/10.7326/0003-4819-139-12-200312160-00006 ![]() |
[43] |
Sober AJ (2010) Sunscreens and melanoma: an on-going controversy. Melanoma Res 20: e6. https://doi.org/10.1097/01.cmr.0000382752.55377.ed ![]() |
[44] |
Bastuji-Garin S, Diepgen TL (2002) Cutaneous malignant melanoma, sun exposure, and sunscreen use: epidemiological evidence. Brit J Dermatol 146: 24-30. https://doi.org/10.1046/j.1365-2133.146.s61.9.x ![]() |
[45] | Xie F, Xie T, Song Q, et al. (2015) Analysis of association between sunscreens use and risk of malignant melanoma. Int J Clin Exp Med 8: 2378. |
[46] |
Gorham ED, Mohr SB, Garland CF, et al. (2007) Do sunscreens increase risk of melanoma in populations residing at higher latitudes?. Ann Epidemiol 17: 956-963. https://doi.org/10.1016/j.annepidem.2007.06.008 ![]() |
[47] |
Westerdahl J, Ingvar C, Måsbäck A, et al. (2000) Sunscreen use and malignant melanoma. Int J Cancer 87: 145-150. https://doi.org/10.1002/1097-0215(20000701)87:1<145::AID-IJC22>3.0.CO;2-3 ![]() |
[48] |
Rueegg CS, Stenehjem JS, Egger M, et al. (2019) Challenges in assessing the sunscreen-melanoma association. Int J Cancer 144: 2651-2668. https://doi.org/10.1002/ijc.31997 ![]() |
[49] |
Cho E, Rosner BA, Feskanich D, et al. (2005) Risk factors and individual probabilities of melanoma for whites. J Clin Oncol 23: 2669-2675. https://doi.org/10.1200/JCO.2005.11.108 ![]() |
[50] |
Gandini S, Sera F, Cattaruzza MS, et al. (2005) Meta-analysis of risk factors for cutaneous melanoma: II. Sun exposure. Eur J Cancer 41: 45-60. https://doi.org/10.1016/j.ejca.2004.10.016 ![]() |
[51] |
Goydos JS, Steven LS (2016) Acral Lentiginous Melanoma. Cancer Treat Res : 167: 321-329. https://doi.org/10.1007/978-3-319-22539-5_14 ![]() |
[52] |
Chang Y, Barrett JH, Bishop DT, et al. (2009) Sun exposure and melanoma risk at different latitudes: a pooled analysis of 5700 cases and 7216 controls. Int J Epidemiol 38: 814-830. https://doi.org/10.1093/ije/dyp166 ![]() |
[53] |
Prouteau A, André C (2019) Canine melanomas as models for human melanomas: clinical, histological, and genetic comparison. Genes 10: 501. https://doi.org/10.3390/genes10070501 ![]() |
[54] |
Mitra D, Luo X, Morgan A, et al. (2012) An ultraviolet-radiation-independent pathway to melanoma carcinogenesis in the red hair/fair skin background. Nature 491: 449-453. https://doi.org/10.1038/nature11624 ![]() |
[55] |
Reichrath J, Lindqvist PG, Pilz S, et al. (2020) Sunbeds and Melanoma Risk: Many Open Questions, Not Yet Time to Close the Debate. Anticancer Res 40: 501-509. https://doi.org/10.21873/anticanres.13978 ![]() |
[56] |
Wendt J, Rauscher S, Burgstaller-Muehlbacher S, et al. (2016) Human determinants and the role of melanocortin-1 receptor variants in melanoma risk independent of UV radiation exposure. JAMA dermatology 152: 776-782. https://doi.org/10.1001/jamadermatol.2016.0050 ![]() |
[57] |
Bleyer W A (2002) Cancer in older adolescents and young adults: epidemiology, diagnosis, treatment, survival, and importance of clinical trials. Med Pediat Oncol 38: 1-10. https://doi.org/10.1002/mpo.1257 ![]() |
[58] |
Lasithiotakis KG, Petrakis IE, Garbe C (2010) Cutaneous melanoma in the elderly: epidemiology, prognosis and treatment. Melanoma Res 20: 163-170. https://doi.org/10.1097/CMR.0b013e328335a8dd ![]() |
[59] |
Jablonski NG, Chaplin G (2010) Human skin pigmentation as an adaptation to UV radiation. P Natl Acad Sci 107: 8962-8968. https://doi.org/10.1073/pnas.0914628107 ![]() |
[60] |
Jablonski NG, Chaplin G (2000) The evolution of human skin coloration. J Hum Evol 39: 57-106. https://doi.org/10.1006/jhev.2000.0403 ![]() |
[61] |
Jablonski NG, Chaplin G (2010) Human skin pigmentation as an adaptation to UV radiation. P Natl Acad Sci 107: 8962-8968. https://doi.org/10.1073/pnas.0914628107 ![]() |
[62] |
Borradale DC, Kimlin MG (2012) Folate degradation due to ultraviolet radiation: possible implications for human health and nutrition. Nutr Rev 70: 414-422. https://doi.org/10.1111/j.1753-4887.2012.00485.x ![]() |
[63] |
Ferlay J, Soerjomataram I, Dikshit R, et al. (2015) Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012. Int J Cancer 136: E359-E386. https://doi.org/10.1002/ijc.29210 ![]() |
[64] |
Relethford JH (1997) Hemispheric difference in human skin color. Am J Phys Anthropol 104: 449-457. https://doi.org/10.1002/(SICI)1096-8644(199712)104:4<449::AID-AJPA2>3.0.CO;2-N ![]() |
[65] |
Diamond J (2005) Geography and skin colour. Nature 435: 283-284. https://doi.org/10.1038/435283a ![]() |
[66] | Brace CL, Henneberg M, Relethford JH (1999) Skin color as an index of timing in human evolution. Am J Phys Anthropol 605: 95-96. |
[67] | (2020) WHOLife expectancy at age 60 (years).The World Health Organization. |
[68] | (2016) The World BankWorld Bank Open Data.The World Bank Group. Available from: http://data.worldbank.org/ |
[69] | Cancer Research UKRisks and causes of melanoma (2020). |
[70] |
Sharp L, Donnelly D, Hegarty A, et al. (2014) Risk of several cancers is higher in urban areas after adjusting for socioeconomic status. Results from a two-country population-based study of 18 common cancers. J Urban Health 91: 510-525. https://doi.org/10.1007/s11524-013-9846-3 ![]() |
[71] |
Allender S, Foster C, Hutchinson L, et al. (2008) Quantification of urbanization in relation to chronic diseases in developing countries: a systematic review. J Urban Health 85: 938-951. https://doi.org/10.1007/s11524-008-9325-4 ![]() |
[72] |
Moore M, Gould P, Keary BS (2003) Global urbanization and impact on health. Int J Hyg Envir Heal 206: 269-278. https://doi.org/10.1078/1438-4639-00223 ![]() |
[73] | WHOUrbanization and health (2020). Available from: http://www.who.int/bulletin/volumes/88/4/10-010410/en/ |
[74] |
Budnik A, Henneberg M (2017) Worldwide increase of obesity is related to the reduced opportunity for natural selection. PloS One 12: e0170098. https://doi.org/10.1371/journal.pone.0170098 ![]() |
[75] |
Chen ST, Geller AC, Tsao H (2013) Update on the epidemiology of melanoma. Curr Dermatol Rep 2: 24-34. https://doi.org/10.1007/s13671-012-0035-5 ![]() |
[76] |
Park SL, Le Marchand L, Wilkens LR, et al. (2012) Risk factors for malignant melanoma in white and non-white/non–African American populations: the multiethnic cohort. Cancer Prev Res 5: 423-434. https://doi.org/10.1158/1940-6207.CAPR-11-0460 ![]() |
[77] | American Cancer SocietyI. Key Statistics for Melanoma Skin Cancer (2022). Available from: https://www.cancer.org/cancer/melanoma-skin-cancer/about/key-statistics.html |
[78] | European Commission eurostatStatistics Explained (2017). Available from: http://ec.europa.eu/eurostat/statistics-explained/index.php/Main_Page |
[79] | Carleton SC (1939) The Races of Europe. New York: The Macmillan Company. |
[80] |
You W, Rühli F, Eppenberger P, et al. (2020) Gluten consumption may contribute to worldwide obesity prevalence. Anthropol Rev 83: 327-348. https://doi.org/10.2478/anre-2020-0023 ![]() |
[81] | You W, Henneberg R, Coventry BJ, et al. Evolved Adaptation to Low Ultraviolet Radiation May Be the Main Cause of Malignant Melanoma (2019). Available from: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3439570 |
[82] |
You W, Symonds I, Henneberg M (2018) Low fertility may be a significant determinant of ovarian cancer worldwide: an ecological analysis of cross-sectional data from 182 countries. J Ovarian Res 11: 1-9. https://doi.org/10.1186/s13048-018-0441-9 ![]() |
[83] |
You W, Rühli FJ, Henneberg RJ, et al. (2018) Greater family size is associated with less cancer risk: an ecological analysis of 178 countries. BMC Cancer 18: 1-14. https://doi.org/10.1186/s12885-018-4837-0 ![]() |
[84] |
You W, Henneberg M (2018) Relaxed natural selection contributes to global obesity increase more in males than in females due to more environmental modifications in female body mass. PloS One 13: e0199594. https://doi.org/10.1371/journal.pone.0199594 ![]() |
[85] | You W, Henneberg M (2018) Prostate Cancer incidence is correlated to Total meat intake–a cross-National Ecologic Analysis of 172 countries. Asian Pacific journal of cancer prevention19: 2229. |
[86] |
You W, Symonds I, Rühli FJ, et al. (2018) Decreasing birth rate determining worldwide incidence and regional variation of female breast Cancer. Adv Breast Cancer Res 7: 1-14. https://doi.org/10.4236/abcr.2018.71001 ![]() |
[87] |
You W, Henneberg M (2018) Cancer incidence increasing globally: The role of relaxed natural selection. Evol Appl 11: 140-152. https://doi.org/10.1111/eva.12523 ![]() |
[88] |
You W, Henneberg M (2016) Meat consumption and prostate cancer incidence-global and regional associations. BJU Int 118: 12-13. ![]() |
[89] |
You W, Henneberg M (2016) Cereal crops are not created equal: wheat consumption associated with obesity prevalence globally and regionally. AIMS Public Health 3: 313. https://doi.org/10.3934/publichealth.2016.2.313 ![]() |
[90] |
You W, Henneberg M (2016) Meat consumption providing a surplus energy in modern diet contributes to obesity prevalence: an ecological analysis. BMC Nutr 2: 1-11. https://doi.org/10.1186/s40795-016-0063-9 ![]() |
[91] |
Buettner PG, MacLennan R (2008) Geographical variation of incidence of cutaneous melanoma in Queensland. Aust J Rural Health 16: 269-277. https://doi.org/10.1111/j.1440-1584.2008.00987.x ![]() |
[92] | WHOGlobal health risks: mortality and burden of disease attributable to selected major risks (2009). |
[93] |
Ward WH, Farma JM Cutaneous melanoma: etiology and therapy (2017). https://doi.org/10.15586/codon.cutaneousmelanoma ![]() |
[94] |
Ghiasvand R, Robsahm TE, Green AC, et al. Association of phenotypic characteristics and UV radiation exposure with risk of melanoma on different body sites. JAMA Dermatology 155: 39-49. https://doi.org/10.1001/jamadermatol.2018.3964 ![]() |
[95] |
Gandini S, Doré JF, Autier P, et al. (2019) Epidemiological evidence of carcinogenicity of sunbed use and of efficacy of preventive measures. J Eur Acad Dermatol 33: 57-62. https://doi.org/10.1111/jdv.15320 ![]() |
[96] | Savoye I, Olsen CM, Whiteman DC, et al. (2017) Patterns of ultraviolet radiation exposure and skin cancer risk: the E3N-SunExp study. Eur J Epidemiol : JE20160166. https://doi.org/10.2188/jea.JE20160166 |
[97] |
Stenehjem JS, Robsahm TE, Bråtveit M, et al. (2017) Ultraviolet radiation and skin cancer risk in offshore workers. Occup Med 67: 569-573. https://doi.org/10.1093/occmed/kqx110 ![]() |
[98] |
Kanavy HE, Gerstenblith MR (2011) Ultraviolet radiation and melanoma. Seminars in cutaneous medicine and surgery.WB Saunders 222-228. https://doi.org/10.1016/j.sder.2011.08.003 ![]() |
[99] |
Armstrong BK (2004) How sun exposure causes skin cancer: an epidemiological perspective. Prevention of skin cancer.Springer 89-116. https://doi.org/10.1007/978-94-017-0511-0_6 ![]() |
[100] |
Pfeifer GP, Besaratinia A (2012) UV wavelength-dependent DNA damage and human non-melanoma and melanoma skin cancer. Photoch Photobio Sci 11: 90-97. https://doi.org/10.1039/C1PP05144J ![]() |
[101] | Mahendraraj K, Sidhu K, Lau C S M, et al. (2017) Malignant melanoma in African–Americans: a population-based clinical outcomes study involving 1106 African–American patients from the surveillance, epidemiology, and end result (SEER) database (1988–2011). Med 96: 1-8. https://doi.org/10.1097/MD.0000000000006258 |
[102] |
Torres SM, Luo L, Lilyquist J, et al. (2013) DNA repair variants, indoor tanning, and risk of melanoma. Pigm Cell Melanoma R 26: 677-684. https://doi.org/10.1111/pcmr.12117 ![]() |
[103] |
Page CM, Djordjilović V, Nøst TH, et al. (2020) Lifetime ultraviolet radiation exposure and DNA methylation in blood leukocytes: The Norwegian Women and Cancer Study. Sci rep 10: 1-8. https://doi.org/10.1038/s41598-020-61430-3 ![]() |
[104] |
Al Emran A, Chatterjee A, Rodger EJ, et al. (2019) Targeting DNA methylation and EZH2 activity to overcome melanoma resistance to immunotherapy. Trends Immunol 40: 328-344. https://doi.org/10.1016/j.it.2019.02.004 ![]() |
[105] |
Micevic G, Theodosakis N, Bosenberg M (2017) Aberrant DNA methylation in melanoma: biomarker and therapeutic opportunities. Clin Epigenetics 9: 1-15. https://doi.org/10.1186/s13148-017-0332-8 ![]() |
[106] |
Berwick M, Armstrong BK, Ben-Porat L, et al. (2005) Sun exposure and mortality from melanoma. J Natl Cancer I 97: 195-199. https://doi.org/10.1093/jnci/dji019 ![]() |
[107] |
Ossio R, Roldan-Marin R, Martinez-Said H, et al. (2017) Melanoma: a global perspective. Nat Rev Cancer 17: 393-394. https://doi.org/10.1038/nrc.2017.43 ![]() |
[108] |
Rampen FHJ, Fleuren E (1987) Melanoma of the skin is not caused by ultraviolet radiation but by a chemical xenobiotic. Med Hypotheses 22: 341-346. https://doi.org/10.1016/0306-9877(87)90028-4 ![]() |
[109] |
Goldstein AM, Tucker MA (2001) Genetic epidemiology of cutaneous melanoma: a global perspective. Arch Dermatol 137: 1493-1496. https://doi.org/10.1001/archderm.137.11.1493 ![]() |
[110] |
Mucci LA, Hjelmborg JB, Harris JR, et al. (2016) Familial risk and heritability of cancer among twins in Nordic countries. Jama 315: 68-76. https://doi.org/10.1001/jama.2015.17703 ![]() |
[111] |
McMeniman E, Duffy D, Jagirdar K, et al. (2019) The interplay of sun damage and genetic risk in Australian multiple and single primary melanoma cases and controls. Brit J Dermatol 183: 357-366. https://doi.org/10.1111/bjd.18777 ![]() |
[112] |
Visconti A, Duffy DL, Liu F, et al. (2018) Genome-wide association study in 176,678 Europeans reveals genetic loci for tanning response to sun exposure. Nat Commun 9: 1-7. https://doi.org/10.1038/s41467-018-04086-y ![]() |
[113] |
Hernando B, Ibarrola-Villava M, Fernandez L P, et al. (2016) Sex-specific genetic effects associated with pigmentation, sensitivity to sunlight, and melanoma in a population of Spanish origin. Biol Sex Differ 7: 1-9. https://doi.org/10.1186/s13293-016-0070-1 ![]() |
[114] |
Fu S, Wu H, Zhang H, et al. (2017) DNA methylation/hydroxymethylation in melanoma. Oncotarget 8: 78163. https://doi.org/10.18632/oncotarget.18293 ![]() |
[115] | Burgard B, Schoepe J, Holzschuh I, et al. (2018) Solarium use and risk for malignant melanoma: meta-analysis and evidence-based medicine systematic review. Anticancer Res 38: 1187-1199. https://doi.org/10.21873/anticanres.12339 |
[116] |
Elwood J M, Jopson J (1997) Melanoma and sun exposure: an overview of published studies. Int J Cancer 73: 198-203. https://doi.org/10.1002/(SICI)1097-0215(19971009)73:2<198::AID-IJC6>3.0.CO;2-R ![]() |
[117] |
Elwood JM, Gallagher RP, Hill GB, et al. (1985) Cutaneous melanoma in relation to intermittent and constant sun exposure—the Western Canada Melanoma Study. Int J Cancer 35: 427-433. https://doi.org/10.1002/ijc.2910350403 ![]() |
[118] |
Gass R, Bopp M (2005) Mortality from malignant melanoma: epidemiological trends in Switzerland. Praxis 94: 1295-1300. https://doi.org/10.1024/0369-8394.94.34.1295 ![]() |
[119] |
Grant WB (2012) Role of solar UVB irradiance and smoking in cancer as inferred from cancer incidence rates by occupation in Nordic countries. Dermato-endocrinology 4: 203-211. https://doi.org/10.4161/derm.20965 ![]() |
[120] |
Bataille V, de Vries E (2008) Melanoma—Part 1: epidemiology, risk factors, and prevention. Bmj 337. https://doi.org/10.1136/bmj.a2249 ![]() |
[121] |
Matsuoka LY, Ide L, Wortsman J, et al. (1987) Sunscreens suppress cutaneous vitamin D3 ynthesis. J Clin Endocr Metab 64: 1165-1168. https://doi.org/10.1210/jcem-64-6-1165 ![]() |
[122] |
Bade B, Zdebik A, Wagenpfeil S, et al. (2014) Low serum 25-hydroxyvitamin D concentrations are associated with increased risk for melanoma and unfavourable prognosis. PloS One 9: e112863. https://doi.org/10.1371/journal.pone.0112863 ![]() |
[123] |
De Smedt J, Van Kelst S, Boecxstaens V, et al. (2017) Vitamin D supplementation in cutaneous malignant melanoma outcome (ViDMe): a randomized controlled trial. BMC Cancer 17: 1-10. https://doi.org/10.1186/s12885-017-3538-4 ![]() |
[124] | Nürnberg B, Gräber S, Gärtner B, et al. (2009) Reduced serum 25-hydroxyvitamin D levels in stage IV melanoma patients. Anticancer Res 29: 3669-3674. |
[125] |
Merrill SJ, Subramanian M, Godar DE (2016) Worldwide cutaneous malignant melanoma incidences analyzed by sex, age, and skin type over time (1955–2007): Is HPV infection of androgenic hair follicular melanocytes a risk factor for developing melanoma exclusively in people of European-ancestry?. Dermato-endocrinol 8: e1215391. https://doi.org/10.1080/19381980.2016.1215391 ![]() |
[126] |
Sinha T, Benedict R (1996) Relationship between latitude and melanoma incidence: international evidence. Cancer Lett 99: 225-231. https://doi.org/10.1016/0304-3835(95)04063-3 ![]() |
[127] |
Bulliard JL, Cox B, Elwood JM (1994) Latitude gradients in melanoma incidence and mortality in the non-Maori population of New Zealand. Cancer Cause Control 5: 234-240. https://doi.org/10.1007/BF01830242 ![]() |
[128] | Eide MJ, Weinstock MA (2005) Association of UV index, latitude, and melanoma incidence in nonwhite populations—US Surveillance, Epidemiology, and End Results (SEER) Program, 1992 to 2001. Arch Dermatol 141: 477-481. https://doi.org/10.1001/archderm.141.4.477 |
[129] | Australian Government Department of HealthAustralian Government response to the House of Representatives Standing Committee on Health and Ageing report: Discussion paper on the late effects of polio/ post-polio syndrome (2017). |
[130] |
Glasziou PP, Jones MA, Pathirana T, et al. (2020) Estimating the magnitude of cancer overdiagnosis in Australia. Med J Australia 212: 163-168. https://doi.org/10.5694/mja2.50455 ![]() |
[131] | Cho HG, Kuo KY, Li S, et al. (2018) Frequent basal cell cancer development is a clinical marker for inherited cancer susceptibility. JCI Insight 3. https://doi.org/10.1172/jci.insight.122744 |
[132] | American Cancer SocietyRisk Factors for Melanoma Skin Cancer (2019). Available from: https://www.cancer.org/cancer/melanoma-skin-cancer/causes-risks-prevention/risk-factors.html |
[133] |
Wassberg C, Thörn M, Yuen J, et al. (1999) Second primary cancers in patients with squamous cell carcinoma of the skin: a population-based study in Sweden. Int J Cancer 80: 511-515. https://doi.org/10.1002/(SICI)1097-0215(19990209)80:4<511::AID-IJC5>3.0.CO;2-P ![]() |
[134] |
Milán T, Pukkala E, Verkasalo PK, et al. (2000) Subsequent primary cancers after basal-cell carcinoma: a nationwide study in Finland from 1953 to 1995. Int J Cancer 87: 283-288. https://doi.org/10.1002/1097-0215(20000715)87:2<283::AID-IJC21>3.0.CO;2-I ![]() |
[135] |
Frisch M, Hjalgrim H, Olsen JH, et al. (1996) Risk for subsequent cancer after diagnosis of basal-cell carcinoma: a population-based, epidemiologic study. Ann Intern Med 125: 815-821. https://doi.org/10.7326/0003-4819-125-10-199611150-00005 ![]() |
[136] |
You W, Symonds I, Rühli FJ, et al. (2018) Decreasing birth rate determining worldwide incidence and regional variation of female breast Cancer. Adv Breast Cancer Res 7: 1-14. https://doi.org/10.4236/abcr.2018.71001 ![]() |
[137] |
You W, Symonds I, Henneberg M (2018) Low fertility may be a significant determinant of ovarian cancer worldwide: an ecological analysis of cross-sectional data from 182 countries. J Ovarian Res 11: 1-9. https://doi.org/10.1186/s13048-018-0441-9 ![]() |
[138] |
You W, Symonds I, Rühli FJ, et al. (2018) Decreasing Birth Rate Determining Worldwide Incidence and Regional Variation of Female Breast Cancer. Adv Breast Cancer Res 7: 1-14. https://doi.org/10.4236/abcr.2018.71001 ![]() |
[139] |
You W, Rühli FJ, Henneberg RJ, et al. (2018) Greater family size is associated with less cancer risk: an ecological analysis of 178 countries. BMC Cancer 18: 1-14. https://doi.org/10.1186/s12885-018-4837-0 ![]() |
[140] |
Welch HG, Mazer BL, Adamson AS (2021) The rapid rise in cutaneous melanoma diagnoses. New Engl J Med 384: 72-79. https://doi.org/10.1056/NEJMsb2019760 ![]() |
[141] |
Grønskov K, Ek J, Brondum-Nielsen K (2007) Oculocutaneous albinism. Orphanet J Rare Dis 2: 1-8. https://doi.org/10.1186/1750-1172-2-43 ![]() |
[142] |
Wood SR, Berwick M, Ley RD, et al. (2006) UV causation of melanoma in Xiphophorus is dominated by melanin photosensitized oxidant production. P Natl Acad Sci 103: 4111-4115. https://doi.org/10.1073/pnas.0511248103 ![]() |
[143] |
Noonan FP, Zaidi MR, Wolnicka-Glubisz A, et al. (2012) Melanoma induction by ultraviolet A but not ultraviolet B radiation requires melanin pigment. Nat Commun 3: 1-10. https://doi.org/10.1038/ncomms1893 ![]() |
[144] |
Field S, Newton-Bishop JA (2011) Melanoma and vitamin D. Molr Oncol 5: 197-214. https://doi.org/10.1016/j.molonc.2011.01.007 ![]() |
[145] |
Osborne JE, Hutchinson PE (2002) Vitamin D and systemic cancer: is this relevant to malignant melanoma?. Brit J Dermatol 147: 197-213. https://doi.org/10.1046/j.1365-2133.2002.04960.x ![]() |
[146] |
Grant WB (2010) An ecological study of cancer incidence and mortality rates in France with respect to latitude, an index for vitamin D production. Dermato-endocrinol 2: 62-67. https://doi.org/10.4161/derm.2.2.13624 ![]() |
[147] |
Damoiseaux J, Smolders J (2018) The engagement between vitamin D and the immune system: is consolidation by a marriage to be expected?. EBioMedicine 31: 9-10. https://doi.org/10.1016/j.ebiom.2018.04.013 ![]() |
[148] |
Fang S, Sui D, Wang Y, et al. (2016) Association of vitamin D levels with outcome in patients with melanoma after adjustment for C-reactive protein. J Clin Oncol 34: 1741. https://doi.org/10.1200/JCO.2015.64.1357 ![]() |
[149] |
Sondak VK, McIver B, Kanetsky PA (2016) Vitamin D and melanoma: what do we tell our patients?. J Clin Oncol 34: 1713-1714. https://doi.org/10.1200/JCO.2016.66.5240 ![]() |
[150] | Nair R, Maseeh A (2012) Vitamin D: The “sunshine” vitamin. J Pharmacol Pharmacother 3: 118-126. |
[151] |
GREEN A, Martin NG (1990) Measurement and perception of skin colour in a skin cancer survey. Brit J Dermatol 123: 77-84. https://doi.org/10.1111/j.1365-2133.1990.tb01826.x ![]() |
[152] |
Wulf HC, Lock-Andersen J (1997) Measurement of constitutive skin phototypes. Skin cancer and UV radiation.Springer 169-180. https://doi.org/10.1007/978-3-642-60771-4_20 ![]() |
[153] |
Lock-Andersen J, Drzewiecki KT, Wulf HC (1999) Eye and Hair Colour, Skin Type, and Constitutive Skin Pigmentation as Risk Factors for Basal Cell Carcinoma and Cutaneous Malignant Melanoma. Acta Derm-Venereol 79: 74-80. https://doi.org/10.1080/000155599750011778 ![]() |
[154] | Lock-Andersen J, Wulf HC (1997) Seasonal variation of skin pigmentation. Acta Derm-Venereol 77: 219-221. |
[155] |
Lancaster H, Nelson J (1957) Sunlight as a cause of melanoma; a clinical survey. Med J Australia 1: 452-456. https://doi.org/10.5694/j.1326-5377.1957.tb59648.x ![]() |
[156] |
Evans RD, Kopf AW, Lew RA, et al. (1988) Risk factors for the development of malignant melanoma—I: Review of case-control studies. Dermatol Surg 14: 393-408. https://doi.org/10.1111/j.1524-4725.1988.tb03373.x ![]() |
[157] |
Bliss JM, Ford D, Swerdlow AJ, et al. (1995) Risk of cutaneous melanoma associated with pigmentation characteristics and freckling: systematic overview of 10 case-control studies. Int J Cancer 62: 367-376. https://doi.org/10.1002/ijc.2910620402 ![]() |
[158] |
Alexandrov LB, Nik-Zainal S, Wedge DC, et al. (2013) Erratum: Signatures of mutational processes in human cancer (Nature (2013) 500 (415–421). Nature 502: 258. https://doi.org/10.1038/nature12666 ![]() |
[159] |
Tate JG, Bamford S, Jubb HC, et al. (2019) COSMIC: the catalogue of somatic mutations in cancer. Nucleic Acids Res 47: D941-D947. https://doi.org/10.1093/nar/gky1015 ![]() |
[160] |
Perduca V, Alexandrov LB, Kelly-Irving M, et al. (2019) Stem cell replication, somatic mutations and role of randomness in the development of cancer. Eur J Epidemiol 34: 439-445. https://doi.org/10.1007/s10654-018-0477-6 ![]() |
[161] |
Svensson EI, Berger D (2019) The role of mutation bias in adaptive evolution. Trends Ecol Evol 34: 422-434. https://doi.org/10.1016/j.tree.2019.01.015 ![]() |
[162] |
Beck CR, Carvalho CMB, Akdemir ZC, et al. (2019) Megabase length hypermutation accompanies human structural variation at 17p11. 2. Cell 176: 1310-1324. https://doi.org/10.1016/j.cell.2019.01.045 ![]() |
[163] |
Li Y, Roberts ND, Wala JA, et al. (2020) Patterns of somatic structural variation in human cancer genomes. Nature 578: 112-121. https://doi.org/10.1038/s41586-019-1913-9 ![]() |
[164] |
Funnell T, Zhang AW, Grewal D, et al. (2019) Integrated structural variation and point mutation signatures in cancer genomes using correlated topic models. PLoS Comput Biol 15: e1006799. https://doi.org/10.1371/journal.pcbi.1006799 ![]() |
[165] |
Brázda V, Fojta M (2019) The rich world of p53 DNA binding targets: The role of DNA structure. Int J Mol Sci 20: 5605. https://doi.org/10.3390/ijms20225605 ![]() |
[166] |
Zhang Y, Yang L, Kucherlapati M, et al. (2019) Global impact of somatic structural variation on the DNA methylome of human cancers. Genome Biol 20: 1-24. https://doi.org/10.1186/s13059-019-1818-9 ![]() |
[167] |
Coventry BJ, Henneberg M (2015) The immune system and responses to cancer: coordinated evolution. F1000Res 4: 1-19. https://doi.org/10.12688/f1000research.6718.1 ![]() |
![]() |
![]() |
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Sample | Tocopherol | Gamma-oryzanol | Coumaric acid | Ferulic acid |
A | 3.69 ± 0.29c | 1.55 ± 0.74c | ND | 18.91 ± 0.60d |
B | 8.75 ± 1.11a | 2.57 ± 0.56ab | ND | 30.93 ± 0.81b |
C | 4.09 ± 0.17c | 1.44 ± 0.36c | ND | 19.39 ± 0.56d |
D | 3.35 ± 0.97c | 1.69 ± 0.35ab | ND | 18.86 ± 1.05d |
E | 4.51 ± 0.38c | 3.16 ± 0.15a | 14.47 ± 1.20 | 35.23 ± 0.82a |
F | 7.10 ± 0.23b | 2.31 ± 0.65abc | ND | 21.61 ± 0.66c |
ND = not detected. Data are expressed as mean ± SD and the values in the same column with different letters are significantly different at p < 0.05. |
Sample | Tocopherol | Gamma-oryzanol | Coumaric acid | Ferulic acid |
A | 3.69 ± 0.29c | 1.55 ± 0.74c | ND | 18.91 ± 0.60d |
B | 8.75 ± 1.11a | 2.57 ± 0.56ab | ND | 30.93 ± 0.81b |
C | 4.09 ± 0.17c | 1.44 ± 0.36c | ND | 19.39 ± 0.56d |
D | 3.35 ± 0.97c | 1.69 ± 0.35ab | ND | 18.86 ± 1.05d |
E | 4.51 ± 0.38c | 3.16 ± 0.15a | 14.47 ± 1.20 | 35.23 ± 0.82a |
F | 7.10 ± 0.23b | 2.31 ± 0.65abc | ND | 21.61 ± 0.66c |
ND = not detected. Data are expressed as mean ± SD and the values in the same column with different letters are significantly different at p < 0.05. |