Abstract
Cutaneous melanoma is epidemiologically linked to ultraviolet radiation (UVR), but the molecular mechanisms by which UVR drives melanomagenesis remain unclear1,2. The most common somatic mutation in melanoma is a V600E substitution in BRAF, which is an early event3. To investigate how UVR accelerates oncogenic BRAF-driven melanomagenesis, we used a V600EBRAF mouse model. In mice expressing V600EBRAF in their melanocytes, a single dose of UVR that mimicked mild sunburn in humans induced clonal expansion of the melanocytes, and repeated doses of UVR increased melanoma burden. We show that sunscreen (UVA superior: UVB SPF50) delayed the onset of UVR-driven melanoma, but only provided partial protection. The UVR-exposed tumours presented increased numbers of single nucleotide variants (SNVs) and we observed mutations (H39Y, S124F, R245C, R270C, C272G) in the Trp53 tumour suppressor in ~40% of cases. TP53 is an accepted UVR target in non-melanoma skin cancer, but is not thought to play a major role in melanoma4. However, we show that mutant Trp53 accelerated V600EBRAF-driven melanomagenesis and that TP53 mutations are linked to evidence of UVR-induced DNA damage in human melanoma. Thus, we provide mechanistic insight into epidemiological data linking UVR to acquired naevi in humans5. We identify TP53/Trp53 as a UVR-target gene that cooperates with V600EBRAF to induce melanoma, providing molecular insight into how UVR accelerates melanomagenesis. Our study validates public health campaigns that promote sunscreen protection for individuals at risk of melanoma.
We expressed V600EBRAF in the melanocytes of 2-month old mice6 and one month later, protected half of the shaved backs of the mice with a cloth and exposed the other half to low doses of UVR (Fig 1a, Extended Data Fig. 1a, 1b). UVR upregulates Trp537, and within 24h of a single UVR exposure we observed Trp53 staining in ~41% of epidermal keratinocytes and down into the reticular dermis (Fig. 1b; Extended Data Fig. 1c, Table 1). We also observed abundant sunburn cells (~17 cells/mm) in the basal layer of the UVR-exposed skin (Fig. 1c; Extended Data Table 1). The skin did not blister, but after 24-48 hours it developed mild erythema, and after seven days it was rough to the touch, presented fine desquamation and was thickened due to hyperkeratosis, epidermal hypertrophy and a thickened fibrotic dermis (Fig. 1d).
UVR induces melanocyte proliferation8, and naevogenesis is driven by clonal expansion of melanocytes expressing mutant BRAF, the acquisition of which is an early event3. Furthermore, the incidence of acquired human naevi, ~80% of which carry BRAF mutations9, is linked to UVR exposure10. We show that UVR induced V600EBRAF-melanocyte proliferation in vivo (Extended Data Fig. 2) and within 7 days, the UVR-exposed skin presented more abundant and larger naevi (Fig. 1d; Extended Data Fig. 3a-d; Extended Data Table 2). These UVR-induced changes persisted (Fig. 1e) and the UVR-exposed skin darkened (Fig. 1f). UVR did not induce naevi or skin darkening in non-V600EBRAF mice (Extended Data Fig. 3e, 3f). Thus, we validate human epidemiological studies by showing that V600EBRAF-expressing melanocytes are susceptible to proliferation and naevogenesis driven by low-dose UVR that mimics mild sunburn.
As reported6, V600EBRAF induced melanoma in ~70% of mice at a median latency of 12.6 months. On average each mouse developed 0.9 tumours on its back (Fig 2a, 2b). When exposed to UVR, all V600EBRAF mice developed melanoma within 7 months at a median latency of 5.3 months and an average of ~3.5 (range 1-6) tumours each, 98% (59/60) of which were within the UVR-exposed area (Fig 2a-2c). UVR did not induce melanoma in non-V600EBRAF mice (Fig. 2a). Thus, we concluded that UVR accelerated V600EBRAF-driven melanomagenesis.
The UVR and non-UVR tumours were asymmetrical, predominantly amelanotic and locally destructive (Fig. 2d, Extended Data Fig. 4a, 4b). They invaded the deeper subcutis, presented superficial naevi and pigmented cells and ~50% ulcerated the overlying epidermis (Fig. 2e, 2f, Extended Data Fig. 4b). The tumour cells were atypical with dendritic/plump spindle morphology, and S100 and Hmb45/MelanA positive (Fig. 2e, 2f, Extended Data Fig. 4c-e). They were heterogeneous, highly mitotic (20 mitoses/10 high-power fields; 10 tumours analysed) and Ki-67 positive (26.4%, range 10-50; Extended Data Fig. 4a, 4f).
Application of sunscreen (UVA superior, UVB SPF 50) 30 minutes before UVR exposure blocked induction of Trp53 and apoptosis in the epidermal keratinocytes (Extended Data Fig. 5a-c, Extended Data Table 1). These are largely UVB-driven responses7, but sunscreen also blocked UVA-induced epidermal hypertrophy and dermal thickening (Extended Data Fig. 5d). The cloth-protected and sunscreen-protected naevi were indistinguishable and sunscreen prevented UVR-driven skin darkening (Extended Data Fig. 6a, 6b). Thus sunscreen protected the epidermis from the immediate effects of UVA and UVB, but nevertheless all of the sunscreen-protected UVR-exposed V600EBRAF-mice developed tumours within 15 months at a median latency of 7.5 months (Fig. 2a), a significant reduction compared to unprotected mice, but a significant increase compared to non-UVR-exposed mice (p=0.03; Fisher Exact Test). Sunscreen protected mice developed ~1.5 tumours on their backs, again significantly fewer than unprotected mice, but significantly more than non-UVR-exposed mice (Fig. 2b, 2c). The sunscreen-protected melanomas presented similar histology to non-UVR and UVR-exposed melanomas (Fig. 2d-f, Extended Data Fig. 6c) and were more common on sunscreen-protected (14 tumours) than cloth-protected (8 tumours) skin. Thus, sunscreen only partially prevented acceleration of V600EBRAF-driven melanomagenesis by UVR.
Array comparative genome hybridisation revealed no significant differences in gross chromosomal aberrations or copy number variations between non-UVR and UVR melanomas (Fig. 3a), but the non-UVR melanomas presented significantly more (60% vs. 13.3%) recurrent copy number changes in melanoma oncogenes and tumour suppressors (MITF, BRAF, CCND1, CDKN2A; Fig. 3b; Supplementary Table 1)11. Whole exome sequencing (WES) revealed that UVR-exposed melanomas presented significantly more somatic single nucleotide variants (SNVs; median 6.16 [range 0.26-40.69] vs. 0.19 SNVs/Mb [range 0.02–2.16]; Fig. 3c; Supplementary Table 1) and a significantly higher proportion of C to T transitions (median 16.7% vs. 76.6%) at the 3′ end of pyrimidine dimers than non-UVR tumours (Fig. 3d, 3e). This provides direct evidence of UVR-induced DNA damage12 and notably, although sunscreen significantly reduced the number of SNVs (median 0.25050 SNVs/Mb [range 0.08233 - 0.64432]) in UVR-exposed melanomas (Figure 3c and Supplementary Table 1), the tumours still presented a higher proportion of C to T transitions at the 3′ end of pyrimidine dimers than non-UVR exposed melanomas (Fig. 3d, 3e). Thus, sunscreen reduced overall mutation burden but did not completely block UVR-induced DNA damage.
We observed Trp53 mutations in 6 of 15 UVR-exposed melanomas, 1 of 11 sunscreen-protected UVR-exposed melanomas, but none of 15 non-UVR-exposed tumours (Fig 4a; Extended Data Table 3; Supplementary Table 1). We confirmed the Trp53 mutations (Fig. 4b; Extended Data Table 3a) and note that there were no significant differences in the number of SNVs in the UVR-exposed Trp53-mutant and Trp53-wild-type tumours (Extended Data Fig. 7a) suggesting that mutant Trp53 did not contribute to overall mutation burden. The mutations involved codons H39, S124, R245, R270, C272 and 6/7 were C to T transitions at the 3′ end of pyrimidine dimers (Extended Data Table 3a) supporting a direct role for UVR in induction of Trp53 mutations in melanoma. S124, R245, R270 and C272 are in the Trp53 DNA-binding domain and the corresponding residues (S127, R248, R273, C275) are mutated in human TP53 in melanoma (Extended Data Table 3a), producing deleterious effects that severely impair promoter-specific TP53-transcriptional activity (Extended Data Table 3b)13. R273 and R248 are human cancer mutation hotspots and produce proteins with dominant-negative and other gain-of-function activities14-16. N-terminal TP53 mutations are rare and H39 is not conserved, but the equivalent residue (Q38) is mutated in human cancer (Extended Data Table 3a). Notably, all of the mutant proteins accumulated in our mouse melanomas (Fig. 4c; Extended Data Table 3a), suggesting common functional consequences.
Two conditional-inducible mouse alleles for DNA-binding domain Trp53 mutants are available, Trp53LSL-R172H and Trp53LSL-R270H. These mutant proteins are functionally similar; they possess dominant-negative and gain-of-function activities, and they accumulate in tumours16. The Trp53LSL-R172H mice were readily available, so we generated heterozygous mice that expressed one copy of R172HTrp53 in their melanocytes (Trp53+/LSL-R172H;Tyr::CreERT2+/). These mice did not develop melanoma, but when crossed to the V600EBRAF mice (Trp53+/LSL-R172H::Braf+/LSL-V600E;Tyr::CreERT2+/o), all of the mice developed on average 6 tumours (range 2-10) on their backs within 3.5 months (Fig. 4d, 4e, 4f). The tumours presented the histopathological features of other V600EBRAF-driven melanomas (Fig 4g, 4h; Extended Data Fig. 7b). Thus, as with deletion of one copy of the tumour suppressor Pten (Extended Data Fig. 7c)17, we show that mutant Trp53 accelerated BRAF-driven melanomagenesis (p<0.0001; Fisher Exact Test).
Finally, analysis of WES data from the Broad Institute18, The Cancer Genome Atlas (TCGA, https://tcga-data.nci.nih.gov/tcga/) and Yale19 revealed that TP53 mutations coincided with a higher proportion of C>T transitions and a UVR signature in primary and metastatic humans cutaneous melanomas (Fig. 4i; Extended Data Fig. 7d; Extended Data Table 3c). Thus, in human and mouse melanomas, Trp53/TP53 mutations were associated with UVR-induced DNA damage, establishing that UVR accelerates melanomagenesis by targeting TP53/Trp53.
TP53 is a recognised UVR target in non-melanoma skin cancers, but is thought not to play a role in melanoma, because frequent p14ARF loss, stabilises HDM2, inactivating TP534. However, we show that ~40% of mouse and ~20% of human melanomas with evidence of UVR-induced DNA damage carried Trp53/TP53 mutations18. Trp53 gene deletions can cooperate with V600EBRAF to induce melanoma in mice and fish20,21, but in UVR-exposed melanomas TP53/Trp53 is mutated rather than lost, generating proteins with gain-of-function and dominant-negative activities14-16. This suggests a complex role for TP53/Trp53 in melanoma that cannot be accomplished if the protein is lost. Our data establish that TP53 is a bona fide UVR target in melanoma, providing insight into how UVR drives melanoma, albeit through mechanisms that have not yet been elucidated. Mutant TP53 drives tumourigenesis through processes inducing evasion of senescence, activation of autophagy, engagement of DNA-damage responses and oxidative stress pathway reactivation, but individual mutants influence these functions differently. Also, it was recently shown that UVR stimulates melanoma invasion, but the role of TP53 in this remains unknown22. Studies are required to elucidate the role of TP53 in melanoma and to identify other UVR targets in TP53/Trp53 mutant and TP53/Trp53 wild-type tumours. Intriguingly, recurrent UVR-signature mutations occur in RAC1, STK19 and PPP6C in melanoma, but their roles in melanomagenesis are currently unknown18,19. It is also unclear what induces V600EBRAF because it is not a UVR-signature mutation. Nevertheless, our data show that V600EBRAF-expressing melanocytes are susceptible to UVR-driven naevogenesis and melanomagenesis.
In previous UVR melanoma models, embryonic mice constitutively expressed oncogenes, generally with loss of tumour suppressor genes, and the mice received a single burning dose of UVR 1-3 days after birth23,24. In this model melanoma is driven by inflammation mediated by IFN secreted by neonatal macrophages, and it does not accelerate V600EBRAF-driven melanoma25. We expressed V600EBRAF at physiological levels in adolescent mice without manipulation of tumour suppressor genes and exposed the mice to repeated low doses of UVR. Thus we mimicked both somatic mutation acquisition and mild sunburn in humans, and our tumours were driven by acquired Trp53 mutations. Thus, we reveal two UVR melanoma pathways, one driven by inflammation in neonates and one driven by UVR-induced mutations in adults.
Finally, it is accepted that sunscreen protects against squamous cell carcinoma26, but controversy surrounds its’ ability to protect against melanoma27-29. The US Environmental Protection Agency states that there is “no evidence that sunscreens protect you from malignant melanoma” (http://www.epa.gov/sunwise/doc/sunscreen.pdf), but we establish that sunscreen delayed UVR-driven melanoma in susceptible mice, validating public health campaigns that promote its use for melanoma. However, sunscreen did not safeguard against UVR completely and we advocate combining it with other sun avoidance strategies, particularly in at-risk individuals with BRAF-mutant naevi1,30.
ONLINE-ONLY METHODS
Animal procedures
All procedures involving animals were approved by the Animal Ethics Committees of the Institute of Cancer Research and Cancer Research UK Manchester Institute in accordance with National Home Office regulations under the Animals (Scientific Procedures) Act 1986 and according to the guidelines of the Committee of the National Cancer Research Institute31. Tamoxifen (Sigma-Aldrich T5648) was freshly prepared in 100% ethanol. For genotyping, genomic DNA was prepared from tail biopsies and PCR was performed using the primers previously described6. Groups of >10 animals per cohort were based on historical precedent to provide statistically significant survival rates in Kaplan-Meier analysis. No randomisation or blinding were required. Animals were culled when tumour burden reached ethical limits, if the animals displayed signs of ill health or distress, or following a maximum of 24 months on study.
V600EBRAF expression and UVR treatments
V600EBRAF was expressed in female C57BL/6 mouse melanocytes by topical application of tamoxifen to the shaved backs of mice at ~2 months of age. A month later mice were anesthetized and the whole backs were shaved. Half of the shaved backs were covered vertically with a UVR proof cloth, to provide an internal control for non UVR-exposed skin. Each animal was treated with 160 mJ/cm2 UVA/UVB or 15 J/cm2 UVA (Waldmann UV181 lamps fitted with UV 6 or UV A-1 tubes) each week for up to 6 months. For the sunscreen protection experiments, mice were treated with Sunsense Milk Sunscreen SPF50 (FDA standard 2,2 mg/cm2,) by topical application 30 min before UVR exposure.
Histology and immunohistochemistry
For immunohistochemistry, samples were processed as described6. Briefly, sections were deparaffinized with xylene and hydrated with a series of graded alcohol washes. Sections were microwaved in citrate buffer (pH 6) for antigen retrieval and rinsed in PBS washes. Sections were blocked in 1% BSA in PBS, incubated with 1:200 dilutions of anti-S100 (Dako), 1:100 dilutions of anti-Ki-67 (Santa Cruz), 1:200 dilutions of mouse anti-HMB45/MelanA (Abcam), 1:100 Tp53 (Abcam) antibodies. Appropriate negative and positive controls for specificity of staining were included and images were captured using Leica DM4000 B LED automated upright microscope system.
Naevi quantification
For each animal, at least 3 samples of skin were collected. The skin sections were cut perpendicular to the longitudinal axis of the animals to span the exposed and non-exposed areas of the tamoxifen treated back. Two independent observers (observer 1 and 2, AV and MC respectively) performed naevi quantification. For each animal, naevi were quantified in 3 different skin sections, 1.8 mm width each of UVR-exposed and protected skin. Significance was tested with the Wilcoxon Rank Sum Test. The size of the naevi was measured by a single observer recording the largest diameter for each nevus in 10.8 mm skin of UVR-exposed and non-exposed protected skin and significance tested using the U Mann Whitney Test. Four animals were scored.
Tp53 quantification
We quantified TP53 by scoring nuclear staining in 500 consecutive keratinocytes for each mouse in UVR exposed, protected, and UVR + sunscreen treated skin. Four animals were scored.
Sunburn cell quantification
We quantified sunburn cells in 1mm of interfollicular basal keratinocytes for each mouse in UVR-exposed, protected, and UVR + sunscreen-treated skin. Four animals were scored.
Immunofluoresence (IF)
3 mm sections of formalin fixed paraffin embedded (FFPE) material were used. Slides were dewaxed and antigen retrieval was performed using citrate buffer pH 6 followed by blocking in PBS-Tween 0.1% + 1% BSA for 15 min and overnight incubation with anti ki67 (Santa Cruz sc-7846) and S100 antibody (1:100 in PBS+1%BSA). Antibody detection was performed using AlexaFluor-conjugated secondary antibodies (Invitrogen). Slides were counterstained with DAPI. Samples were analysed and pictures of the mid dermis were taken using a Leica confocal scanning microscope (Leica Microsystems).
Tumour analysis
Mouse genomic DNA was prepared for aCGH and WES as described in Supplementary Information. 107 randomly selected SNVs were validated by Sanger sequencing to reveal a true positive rate of 93.5%.
WES and aCGH
75 manually dissected sections of 20 μm snap frozen tissue samples with an estimated tumour cell percentage of at least 80% were used for DNA extraction. Normal DNA was isolated from liver or kidney. DNA extraction was performed using a DNeasy blood and tissue kit (Qiagen). Quality assessment was performed by NanoDrop and Qubit. For aCGH, 2 μg of normal and tumour DNA were hybridized to Nimblegen HX3 MM9 whole genome CGH arrays (100718_MM9_WG_CGH). Normalization, window averaging and segmentation were conducted using the standard Nimblegen aCGH analysis pipeline. The BioConductor package aCGH was used to summarise and plot copy number alterations. For WES, 15 tumours from UVR-exposed areas, 15 tumours from animals not exposed to UVR and 11 tumours from animals exposed to UVR and treated with sunscreen were included. Matched normal DNA samples from liver or kidney were obtained. DNA was extracted from frozen materials. Exome capture was performed using the Agilent SureSelect Mouse exome capture kit 3 μg of gDNA according to the manufactures instructions. Sequencing was performed on Illumina GAIIx and HiSeq machines to produce 74bp paired end reads and quality control was conducted using FASTQC (http://www.bioinformatics.babraham.ac.uk/projects/fastqc/). Reads were aligned to the NCBI m37 reference genome using BWA32 (version 0.5.9-r16; default parameters). Duplicate reads were marked by Picard (http://picard.sourceforge.net/index.shtml) and base quality score recalibration and local realignment around indels were performed using GATK33 (version v1.2-24-g6478681). Pileup files of on-target high mapping quality bases (read mapping quality ≥30) were generated using Samtools34 (version 0.1.18) and somatic single nucleotide variants (SNVs) were called using Varscan35 (version v2.2.8) methods somatic (parameters -min-var-freq 0.08, -p-value 0.05, -min-avg-qual 20) and processSomatic at positions with coverage ≥10 in the normal and tumour. Likely false positives were removed using predetermined filters35. The somatic mutational status of Trp53 in all tumour samples was also verified using Somaticsniper36. No mutations in Trp53 in the NON-UVR melanoma samples were identified by either method. Somatic variants were annotated by the Ensembl Variant Effect Predictor37 using Ensembl version 67 and variants present in dbSNP were excluded.
For Sanger sequencing validation, gDNA was amplified by PCR to confirm selected mutations. The products were directly sequenced using dye-terminator chemistry as previously described38. Sequences were visualized using Sequencher software. Primer sequences are available upon request. 107 randomly selected SNVs were validated by Sanger sequencing, to reveal a true positive rate of 93.5%.
Supplementary Material
ACKNOWLEDGEMENTS
This work was supported by Cancer Research UK (C107/A10433; C5759/A12328), the Wenner-Gren Foundations, Stockholm, Teggerstiftelsen (M.P.), and a FEBS Long-Term Fellowship (BS-L). We thank Garry Ashton of the Histology Units at the CRUK Manchester Institute for technical assistance and Dr Antony Young (Guy’s, King’s and St Thomas’ School of Medicine, London) for helpful discussions. We would like to acknowledge the contribution of the melanoma specimen donors and research groups to The Cancer Genome Atlas.
Footnotes
The authors declare no competing financial interests.
Exome sequence and array CGH data have been deposited at the European Genome-Phenome Archive (http://www.ebi.ac.uk/ega/), which is hosted by the EBI, under accession numbers EGAS00001000729 and EGAS00001000735.
REFERENCES
- 1.Whiteman DC, et al. Melanocytic nevi, solar keratoses, and divergent pathways to cutaneous melanoma. J Natl Cancer Inst. 2003;95:806–812. doi: 10.1093/jnci/95.11.806. [DOI] [PubMed] [Google Scholar]
- 2.Gilchrest BA, Eller MS, Geller AC, Yaar M. The pathogenesis of melanoma induced by ultraviolet radiation. N Engl J Med. 1999;340:1341–1348. doi: 10.1056/NEJM199904293401707. doi:10.1056/NEJM199904293401707. [DOI] [PubMed] [Google Scholar]
- 3.Yeh I, von Deimling A, Bastian BC. Clonal BRAF Mutations in Melanocytic Nevi and Initiating Role of BRAF in Melanocytic Neoplasia. J Natl Cancer Inst. 2013;105:917–919. doi: 10.1093/jnci/djt119. doi:10.1093/jnci/djt119. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Tsao H, Chin L, Garraway LA, Fisher DE. Melanoma: from mutations to medicine. Genes Dev. 2012;26:1131–1155. doi: 10.1101/gad.191999.112. doi:10.1101/gad.191999.112. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Harrison SL, MacLennan R, Speare R, Wronski I. Sun exposure and melanocytic naevi in young Australian children. Lancet. 1994;344:1529–1532. doi: 10.1016/s0140-6736(94)90348-4. [DOI] [PubMed] [Google Scholar]
- 6.Dhomen N, et al. Oncogenic Braf induces melanocyte senescence and melanoma in mice. Cancer Cell. 2009;15:294–303. doi: 10.1016/j.ccr.2009.02.022. doi:10.1016/j.ccr.2009.02.022. [DOI] [PubMed] [Google Scholar]
- 7.Ponten F, Berne B, Ren ZP, Nister M, Ponten J. Ultraviolet light induces expression of p53 and p21 in human skin: effect of sunscreen and constitutive p21 expression in skin appendages. The Journal of investigative dermatology. 1995;105:402–406. doi: 10.1111/1523-1747.ep12321071. [DOI] [PubMed] [Google Scholar]
- 8.Rudolph P, Tronnier M, Menzel R, Moller M, Parwaresch R. Enhanced expression of Ki-67, topoisomerase IIalpha, PCNA, p53 and p21WAF1/Cip1 reflecting proliferation and repair activity in UV-irradiated melanocytic nevi. Human pathology. 1998;29:1480–1487. doi: 10.1016/s0046-8177(98)90019-3. [DOI] [PubMed] [Google Scholar]
- 9.Pollock PM, et al. High frequency of BRAF mutations in nevi. Nature genetics. 2003;33:19–20. doi: 10.1038/ng1054. doi:10.1038/ng1054. [DOI] [PubMed] [Google Scholar]
- 10.Thomas NE, et al. Number of nevi and early-life ambient UV exposure are associated with BRAF-mutant melanoma. Cancer Epidemiol Biomarkers Prev. 2007;16:991–997. doi: 10.1158/1055-9965.EPI-06-1038. doi:10.1158/1055-9965.EPI-06-1038. [DOI] [PubMed] [Google Scholar]
- 11.Vultur A, Herlyn M. SnapShot: melanoma. Cancer Cell. 2013;23:706–706. doi: 10.1016/j.ccr.2013.05.001. e701, doi:10.1016/j.ccr.2013.05.001. [DOI] [PubMed] [Google Scholar]
- 12.Pfeifer GP, You YH, Besaratinia A. Mutations induced by ultraviolet light. Mutation research. 2005;571:19–31. doi: 10.1016/j.mrfmmm.2004.06.057. doi:10.1016/j.mrfmmm.2004.06.057. [DOI] [PubMed] [Google Scholar]
- 13.Kato S, et al. Understanding the function-structure and function-mutation relationships of p53 tumor suppressor protein by high-resolution missense mutation analysis. Proceedings of the National Academy of Sciences of the United States of America. 2003;100:8424–8429. doi: 10.1073/pnas.1431692100. doi:10.1073/pnas.1431692100. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Song H, Hollstein M, Xu Y. p53 gain-of-function cancer mutants induce genetic instability by inactivating ATM. Nature cell biology. 2007;9:573–580. doi: 10.1038/ncb1571. doi:10.1038/ncb1571. [DOI] [PubMed] [Google Scholar]
- 15.Willis A, Jung EJ, Wakefield T, Chen X. Mutant p53 exerts a dominant negative effect by preventing wild-type p53 from binding to the promoter of its target genes. Oncogene. 2004;23:2330–2338. doi: 10.1038/sj.onc.1207396. doi:10.1038/sj.onc.1207396. [DOI] [PubMed] [Google Scholar]
- 16.Olive KP, et al. Mutant p53 gain of function in two mouse models of Li-Fraumeni syndrome. Cell. 2004;119:847–860. doi: 10.1016/j.cell.2004.11.004. doi:10.1016/j.cell.2004.11.004. [DOI] [PubMed] [Google Scholar]
- 17.Dankort D, et al. Braf(V600E) cooperates with Pten loss to induce metastatic melanoma. Nature genetics. 2009;41:544–552. doi: 10.1038/ng.356. doi:10.1038/ng.356. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Hodis E, et al. A landscape of driver mutations in melanoma. Cell. 2012;150:251–263. doi: 10.1016/j.cell.2012.06.024. doi:10.1016/j.cell.2012.06.024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Krauthammer M, et al. Exome sequencing identifies recurrent somatic RAC1 mutations in melanoma. Nature genetics. 2012;44:1006–1014. doi: 10.1038/ng.2359. doi:10.1038/ng.2359. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Patton EE, Zon LI. Taking human cancer genes to the fish: a transgenic model of melanoma in zebrafish. Zebrafish. 2005;1:363–368. doi: 10.1089/zeb.2005.1.363. doi:10.1089/zeb.2005.1.363. [DOI] [PubMed] [Google Scholar]
- 21.Goel VK, et al. Melanocytic nevus-like hyperplasia and melanoma in transgenic BRAFV600E mice. Oncogene. 2009;28:2289–2298. doi: 10.1038/onc.2009.95. doi:10.1038/onc.2009.95. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Bald T, et al. Ultraviolet-radiation-induced inflammation promotes angiotropism and metastasis in melanoma. Nature. 2014;507:109–113. doi: 10.1038/nature13111. doi:10.1038/nature13111. [DOI] [PubMed] [Google Scholar]
- 23.Noonan FP, et al. Neonatal sunburn and melanoma in mice. Nature. 2001;413:271–272. doi: 10.1038/35095108. doi:10.1038/35095108. [DOI] [PubMed] [Google Scholar]
- 24.Luo C, et al. Loss of ARF sensitizes transgenic BRAFV600E mice to UV-induced melanoma via suppression of XPC. Cancer research. 2013;73:4337–4348. doi: 10.1158/0008-5472.CAN-12-4454. doi:10.1158/0008-5472.CAN-12-4454. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Zaidi MR, et al. Interferon-gamma links ultraviolet radiation to melanomagenesis in mice. Nature. 2011;469:548–553. doi: 10.1038/nature09666. doi:10.1038/nature09666. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Green A, et al. Daily sunscreen application and betacarotene supplementation in prevention of basal-cell and squamous-cell carcinomas of the skin: a randomised controlled trial. Lancet. 1999;354:723–729. doi: 10.1016/S0140-6736(98)12168-2. doi:10.1016/S0140-6736(98)12168-2. [DOI] [PubMed] [Google Scholar]
- 27.Green AC, Williams GM, Logan V, Strutton GM. Reduced melanoma after regular sunscreen use: randomized trial follow-up. J Clin Oncol. 2011;29:257–263. doi: 10.1200/JCO.2010.28.7078. doi:10.1200/JCO.2010.28.7078. [DOI] [PubMed] [Google Scholar]
- 28.Goldenhersh MA, Koslowsky M. Increased melanoma after regular sunscreen use? J Clin Oncol. 2011;29:e557–558. doi: 10.1200/JCO.2011.35.5727. author reply e859, doi:10.1200/JCO.2011.35.5727. [DOI] [PubMed] [Google Scholar]
- 29.Planta MB. Sunscreen and melanoma: is our prevention message correct? J Am Board Fam Med. 2011;24:735–739. doi: 10.3122/jabfm.2011.06.100178. doi:10.3122/jabfm.2011.06.100178. [DOI] [PubMed] [Google Scholar]
- 30.Viros A, et al. Improving melanoma classification by integrating genetic and morphologic features. PLoS Med. 2008;5:e120. doi: 10.1371/journal.pmed.0050120. doi:10.1371/journal.pmed.0050120. [DOI] [PMC free article] [PubMed] [Google Scholar]
METHODS REFERENCES
- 31.Workman P, et al. Guidelines for the welfare and use of animals in cancer research. British journal of cancer. 2010;102:1555–1577. doi: 10.1038/sj.bjc.6605642. doi:10.1038/sj.bjc.6605642. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Li H, Durbin R. Fast and accurate short read alignment with Burrows-Wheeler transform. Bioinformatics. 2009;25:1754–1760. doi: 10.1093/bioinformatics/btp324. doi:10.1093/bioinformatics/btp324. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.McKenna A, et al. The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data. Genome Res. 2010;20:1297–1303. doi: 10.1101/gr.107524.110. doi:10.1101/gr.107524.110. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Li H, et al. The Sequence Alignment/Map format and SAMtools. Bioinformatics. 2009;25:2078–2079. doi: 10.1093/bioinformatics/btp352. doi:10.1093/bioinformatics/btp352. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Koboldt DC, et al. VarScan 2: somatic mutation and copy number alteration discovery in cancer by exome sequencing. Genome Res. 2012;22:568–576. doi: 10.1101/gr.129684.111. doi:10.1101/gr.129684.111. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Larson DE, et al. SomaticSniper: identification of somatic point mutations in whole genome sequencing data. Bioinformatics. 2012;28:311–317. doi: 10.1093/bioinformatics/btr665. doi:10.1093/bioinformatics/btr665. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.McLaren W, et al. Deriving the consequences of genomic variants with the Ensembl API and SNP Effect Predictor. Bioinformatics. 2010;26:2069–2070. doi: 10.1093/bioinformatics/btq330. doi:10.1093/bioinformatics/btq330. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Turajlic S, et al. Whole genome sequencing of matched primary and metastatic acral melanomas. Genome Res. 2012;22:196–207. doi: 10.1101/gr.125591.111. doi:10.1101/gr.125591.111. [DOI] [PMC free article] [PubMed] [Google Scholar]
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