John A. Curtin, Ph.D., Jane Fridlyand, Ph.D., Toshiro Kageshita, M.D., Hetal N. Patel, M.S., Klaus J. Busam, M.D., Heinz Kutzner, M.D., Kwang-Hyun Cho, M.D., Setsuya Aiba, M.D., Ph.D., Eva-Bettina Bröcker, M.D., Philip E. LeBoit, M.D., Dan Pinkel, Ph.D., and Boris C. Bastian, M.D.
Background Exposure to ultraviolet light is a major causativefactor in melanoma, although the relationship between risk andexposure is complex. We hypothesized that the clinical heterogeneityis explained by genetically distinct types of melanoma withdifferent susceptibility to ultraviolet light.
Methods We compared genome-wide alterations in the number ofcopies of DNA and mutational status of BRAF and N-RAS in 126melanomas from four groups in which the degree of exposure toultraviolet light differs: 30 melanomas from skin with chronicsun-induced damage and 40 melanomas from skin without such damage;36 melanomas from palms, soles, and subungual (acral) sites;and 20 mucosal melanomas.
Results We found significant differences in the frequenciesof regional changes in the number of copies of DNA and mutationfrequencies in BRAF among the four groups of melanomas. Samplescould be correctly classified into the four groups with 70 percentaccuracy on the basis of the changes in the number of copiesof genomic DNA. In two-way comparisons, melanomas arising onskin with signs of chronic sun-induced damage and skin withoutsuch signs could be correctly classified with 84 percent accuracy.Acral melanoma could be distinguished from mucosal melanomawith 89 percent accuracy. Eighty-one percent of melanomas onskin without chronic sun-induced damage had mutations in BRAFor N-RAS; the majority of melanomas in the other groups hadmutations in neither gene. Melanomas with wild-type BRAF orN-RAS frequently had increases in the number of copies of thegenes for cyclin-dependent kinase 4 (CDK4) and cyclin D1 (CCND1),downstream components of the RASBRAF pathway.
Conclusions The genetic alterations identified in melanomasat different sites and with different levels of sun exposureindicate that there are distinct genetic pathways in the developmentof melanoma and implicate CDK4 and CCND1 as independent oncogenesin melanomas without mutations in BRAF or N-RAS.
The rising incidence of melanoma and lack of effective treatmentsfor advanced disease represent an important public health problem.1Exposure to the sun is generally accepted as a major causativefactor.1,2,3 However, its mechanism is unknown, and the roleof exposure to ultraviolet light is complex and has some paradoxicalfeatures. For example, in light-skinned people, the group thatis predominantly affected by melanoma, tumors are most commonon areas that are intermittently exposed to the sun, such asthe trunk, arms, and legs, rather than on areas that are chronicallyexposed to the sun, such as the face. Also, several studieshave shown that indoor workers have a higher risk of melanomathan outdoor workers,4,5 leading some authorities to suggestthat chronic exposure to ultraviolet light exerts a protectiveeffect. A small proportion of melanomas arise without obviousexposure to ultraviolet light, because they affect sites thatare relatively or absolutely protected, such as the palms andsoles (acral melanoma) and mucosal membranes. Finally, genessuch as BRAF and N-RAS that are commonly mutated in melanomado not show typical ultraviolet "fingerprint" mutations.6,7
There has been an ongoing debate about whether this complexitycould in part be due to the existence of several distinct typesof melanoma. One proposal, based on histologic growth patterns,describes four "histogenetic" types of melanoma: superficialspreading, lentigo maligna, nodular, and acral lentiginous melanoma.8,9However, the use of this classification is controversial10 andhas not been broadly adopted in clinical practice, primarilybecause a substantial number of melanomas do not fit the classictypes and the histogenetic type is not an independent prognosticfactor.11,12 A more recent hypothesis suggests that these tumorsbe classified according to divergent pathways, because patientswith melanomas of the head and neck differ from patients withmelanomas on the trunk in having higher levels of expressionof TP53 protein, a higher frequency of associated nonmelanomaskin cancers, and lower numbers of melanocytic nevi.13,14,15
Genetic studies have provided support for this dual-pathwayhypothesis concerning melanomas on skin exposed to the sun.BRAF mutations are common only in melanomas arising in areasintermittently exposed to the sun and are rare in melanomason skin that is chronically exposed to the sun or on acral skinand mucosal membranes that are seldom or never exposed to thesun.16 In addition, several studies have shown that melanomasof the palms and soles and mucosal membranes have distinctivepatterns of chromosomal aberrations as compared with those atother sites.17,18,19 Understanding whether the heterogeneityof melanoma with respect to the site, degree of exposure tothe sun, and histologic characteristics is caused by biologicallydistinct types of melanoma is of great clinical importance,because it is likely to result in separate targeted therapeuticapproaches and prevention strategies. To shed light on thisarea, we analyzed 126 primary melanomas classified into fourgroups on the basis of their location and degree of exposureto the sun. Our analysis included a genome-wide assessment ofthe differences in the number of copies of DNA that used array-basedcomparative genomic hybridization20,21 and a focused analysisof signaling pathways that are markedly altered in melanoma(Figure 1).
Figure 1. The Mitogen-Activated Protein (MAP) Kinase and Phosphatidylinositol 3' Kinase (PI3K) Pathways.
Signals from receptor tyrosine kinases can promote proliferation through the MAP kinase pathway (left branch) and survival through the PI3 kinase pathway (right branch).
Methods
Tumor Specimens
We collected archival, paraffin-embedded primary melanomas thathad an invasive component in which tumor cells predominatedover stromal cells from seven centers: the DermatopathologySection of the Department of Pathology and Dermatology, Universityof California, San Francisco; the Department of Dermatology,Kumamoto University School of Medicine, Kumamoto, Japan; theDepartment of Pathology, Memorial Sloan-Kettering Cancer Center,New York; DermPath, Friedrichshafen, Germany; the Departmentof Dermatology, Seoul National University College of Medicine,Seoul, South Korea; the Department of Dermatology, Tohoku UniversityGraduate School of Medicine, Sendai, Japan; and the Departmentof Dermatology, University of Würzburg, Würzburg,Germany. The study was approved by the institutional reviewboard of the University of California, San Francisco. We obtainedroughly similar numbers of four types of tumors: 36 specimensof acral melanoma, defined as melanoma occurring on the nonhair-bearingskin of the palms or soles or under the nails; 20 specimensof mucosal melanoma, defined as tumors arising on mucosal membranes;30 specimens of melanoma arising from skin with chronic sun-induceddamage; and 40 specimens of melanoma arising from skin withoutchronic sun-induced damage. The distinction between the lasttwo groups was based solely on the presence or absence on microscopyof marked solar elastosis of the dermis surrounding the melanomas.In all but a few cases, melanomas associated with chronic sun-induceddamage occurred on the face and melanomas that were not associatedwith chronic sun-induced damage occurred on the trunk, arms,and legs (Table 1; further details are provided in the Supplementary Appendix,available with the full text of this article at www.nejm.org).
Table 1. Characteristics of the Four Types of Melanoma.
Experimental Methods
DNA for comparative genomic hybridization was extracted fromtumor-bearing tissue as described previously.22 Array-basedcomparative genomic hybridization was carried out on 600 to2000 ng of genomic DNA, labeled by random priming, as previouslydescribed.23 Data points of low quality, as assessed by a largestandard deviation between replicate spots on each array, wererejected. Clones that had missing data in more than 25 percentof the samples in the group as a whole or in 50 percent in anyindividual group were excluded from further analysis (the Supplementary Appendixprovides details of primary data processing). The dataset used for comparative genomic hybridization has been depositedin the Gene Expression Omnibus (accession number, GSE2631
[NCBI GEO]
; availableat www.ncbi.nlm.nih.gov/geo).
Immunohistochemical analysis was performed on tissue microarraysas described previously with the use of standard protocols andthe use of 3-amino-9-ethylcarbazole as a chromagen accordingto the manufacturer's specifications.24 The following antibodieswere used: monoclonal antibody AM29 against cyclin D1 (CCND1;catalog number, 18-0220; Zymed) in a 1:200 dilution, as describedpreviously25; monoclonal antibody Ab-4 against cyclin-dependentkinase N2A (CDKN2A; catalog number, MS-887-P1; Laboratory Vision)in a 1:25 dilution; a polyclonal antibody against phosphorylatedAkt (Ser473; catalog number, 9277S; Cell Signaling Technology)in a 1:80 dilution; and E10 monoclonal antibody against phosphorylatedextracellular-signalregulated kinase (ERK, Thr202/Tyr204;catalog number, 9106S; Cell Signaling Technology) in a 1:80dilution. The intensity of staining was scored on a scale onwhich a score of 0 indicated the lowest intensity and a scoreof 4 the highest intensity. Scores of 2 or greater were consideredpositive.
We used a polymerase-chain-reaction (PCR) assay to amplify DNAthat included BRAF codon 600 (113 specimens) and codons 12,13, and 61 of N-RAS (113 specimens) and H-RAS and K-RAS (95specimens each). PCR products were purified with the use ofExoSAP-IT (USB), sequenced directly with the use of specificprimers, and analyzed with the use of an ABI Prism 3700 DNAAnalyzer (Applied Biosystems).
Statistical Analysis
The experimental variability of each sample included in thearray for comparative genomic hybridization was assessed asdescribed previously.26 For each hybridization, the median absolutedeviation, a robust estimate of the standard deviation, wascalculated for each portion of the genome found to have a constantnumber of copies, and the median of those values was used toestimate the noise level of the measurement. Changes in thenumbers of copies of DNA within chromosomes and of entire chromosomeswere identified by applying the unsupervised hidden-Markov-modelprocedure as previously described26,27 and used to assess overallgenomic instability.23 Microarray elements with absolute base-2logarithm (log2) ratios greater than 2.5 times the median absolutedeviation were classified as aberrant (having gains or lossesin numbers of copies). The proportion of the genome alteredin each sample was computed as the proportion of aberrant clones.Genomic regions represented by microarray elements were declaredto be homozygously lost if their log2 ratio was less than 0.9.The height of the peak representing the increase in the numberof copies and the narrowness of the affected region relativeto its flanking segments were used to define high-level amplification(details are provided in the Supplementary Appendix). Ampliconswere defined as contiguous regions of amplification. Missingvalues were imputed with the use of the lowess approach, whichis a robust, locally linear regression method.28 The F statistic,corrected for multiple testing with the use of maxT-adjustedpermutation-based P values (i.e., adjusted for multiple testingin a way that strongly controls the probability of declaringfalse positives), was used to assess the significance of differencesbetween the ratios of individual clones among the four groupsof melanomas.29 Adjusted P values of less than 0.05 were consideredto indicate statistical significance, ensuring the probabilityof at least one false discovery of no more than 0.05 and thusproviding strong control of the family-wise error rate.29
We compared individual clones containing genes of interest betweentwo or more groups using the KruskalWallis test. We usedFisher's exact test to evaluate the two-by-two tables comparingmutational status or cluster assignments among the four groups.The rate of misclassification of the classifiers was assessedwith the use of the leave-one-out cross-validation method byrepeatedly applying a diagonal linear discriminant analysisclassifier while varying the number of features used by thepredictor.30 Features were reselected at each cross-validationstep with the use of F-statistic ranking. Hence, only samplesin the most current training set were used, thus eliminatingpotential downward bias of the resulting error rate.30 The reportedleave-one-out error rates correspond to the predictor with thenumber of features resulting in the best performance of theclassifier. All calculations were done in R statistical language.31
Results
Distinct Sets of Genomic Aberrations among Melanoma Subgroups
Array-based comparative genomic hybridization showed that severalgenomic regions had changes in the number of copies of DNA inall four groups of melanoma (Figure 2). In addition, there weremarked differences in aberrant genomic regions among the groups(Figure 2 and Table 1). These differences were most pronouncedbetween melanomas on skin that was relatively or absolutelyprotected from the sun (acral and mucosal melanomas) and melanomason skin with various degrees of exposure to the sun. Specifically,acral or mucosal melanomas had a significantly higher degreeof chromosomal aberrations, as assessed by the overall proportionof the genome affected by gains or losses of DNA (P=0.004 bythe KruskalWallis test), changes in the total numberof copy-number transitions within chromosomes (P<0.001 bythe KruskalWallis test), and changes in the number ofamplicons (P<0.001 by the KruskalWallis test) (Figure 3).Amplifications were found in 89 percent of acral melanomasand 85 percent of mucosal melanomas, but they involved differentgenomic regions in the two groups (Figure 2 and Table 1). Amplificationswere infrequent in the group of melanomas on skin with chronicsun-induced damage and the group on skin without chronic sun-induceddamage. In addition to these differences in the degree of genomicinstability, there were differences in aberration patterns amongthe four groups (Figure 2).
Figure 2. Changes in the Number of Copies of DNA in Subgroups of Melanoma.
Two histograms are shown for each group of melanoma (Panels A, B, C, and D) and for the four groups combined (Panel E). In each panel, the upper plots show low-level gains (green) and losses (red), and the lower plots show amplifications (green) and homozygous deletions (red) for each type. Vertical dashed lines represent the location of the centromere. The x axis represents genomic position, with the bacterial artificial chromosomes ordered according to position in the genome beginning at 1p and ending at 22. The y axis represents the fraction of the samples with a given clone altered. Panel E shows the statistical differences between the changes in the number of copies in the four groups. The magnitude of the F statistic is shown as the height of the vertical bars, and their global significance is indicated with horizontal dashed lines that show the maxT-adjusted P-value cutoffs (red, P=0.01; blue, P=0.05; and green, P=0.1).
Figure 3. Qualitative and Quantitative Differences in Chromosomal Aberrations among the Four Groups of Melanoma.
The box plots indicate significant differences in the number of copies of DNA (Panel A) and number of amplicons (Panel B) among the four types of melanoma (P<0.001 by the KruskalWallis test). Boxes are outlined by the first and third quartiles, with the median as a horizontal line inside. Whiskers are drawn as 1.5 times the distance between the first and third quartiles. Points outside the whiskers are considered outliers. The notches indicate the 95 percent confidence interval for the median. Panel C shows the unsupervised hierarchical clustering of melanomas on skin with chronic sun-induced damage and melanomas on skin without chronic sun-induced damage. Genomic clones are displayed in vertical orientation according to their genomic position from chromosomes 1 to 22. The p arms of chromosomes are indicated in light blue (odd chromosomes) and yellow (even chromosomes), and the q arms are indicated in dark blue (odd chromosomes) and green (even chromosomes). The CCND1 locus was frequently gained in the right branch of the tree (arrowhead), which was enriched for specimens from skin with chronic sun-induced damage (P=0.001 by the KruskalWallis test). Ten samples from skin without chronic sun-induced damage were incorrectly grouped with samples from skin with such damage, and 10 samples from skin with chronic sun-induced damage were incorrectly grouped with samples from skin without such damage. There was a significant association between groups and cluster assignment (P<0.001 by Fisher's exact test).
Table 1 shows the common genomic aberrations and the regionsthat were affected with different frequencies in each groupafter adjustment for multiple testing. On the basis of the changesin the number of copies of DNA alone, samples could be correctlyclassified into the four groups with an overall accuracy of70 percent. Two-way classification of acral and mucosal melanomascorrectly classified 50 of 56 samples (89 percent). Most intriguingly,two-way classification of the group of melanomas on skin withchronic sun-induced damage and the group on skin without chronicsun-induced damage led to the correct classification of 59 of70 samples (84 percent). Unsupervised agglomerative hierarchicalclustering separated the group of melanomas that were on skinwith chronic sun-induced damage and the group on skin withoutchronic sun-induced damage that had been exposed to sun intotwo major clusters (P<0.001 by Fisher's exact test) (Figure 3C).Frequent focused gains involving the CCND1 locus (P=0.001),losses involving chromosome 4q (P=0.004), and gains involvingregions of chromosome 22 (P=0.004) were significantly more commonin the group with chronic sun-induced damage than in the groupwithout such damage; the latter group had more frequent lossesinvolving chromosome 10q (P=0.002). All P values were calculatedwith the use of a maxT-adjusted permutation-based t-test asdescribed above and are reported for the most significant changesof the relevant chromosomal regions.
Alteration of the Mitogen-Activated Protein Kinase Pathway
Mutations in BRAF were significantly more common in the groupof melanomas that were on skin without chronic sun-induced damagethan in the other three groups (P<0.001 by Fisher's exacttest) (Figure 4F), confirming our previous report.16 All mutationsin RAS genes were found in N-RAS and occurred only in sampleswithout BRAF mutations. We did not observe a significant associationbetween N-RAS mutations and melanoma subtypes (P=0.4 by Fisher'sexact test) (Figure 4F).
Figure 4. Genetic Alterations in the Mitogen-Activated Protein Kinase and PI3K Pathways.
Panels A, B, and C show examples of individual specimens with focal amplification of CCND1 (Panel A) and CDK4 (Panel B) and homozygous deletion of CDKN2A (Panel C). The y axis represents the mean log2 ratio for each clone normalized to the genome median log2 ratio. The x axis represents individual clones ordered with the use of data obtained from the University of California at Santa Cruz Genome Browser (http://genome.ucsc.edu, assembly of July 2003). Panels D and E show interactions between amplification of CDK4 and CCND1 and mutations in BRAF and N-RAS (Panel D) and homozygous deletions of CDKN2A and amplifications of CDK4 (Panel E). The x and y axes show the log2 ratio for the clone representing the individual genes. Data points labeled in red or blue indicate cases with mutations in the BRAF or N-RAS genes, respectively. The average log2 ratio of three highly correlated clones (minimum Pearson's correlation, >0.95) containing the CCND1 gene were used in Panels D and G. Panel F shows a significant difference in the mutation frequency of BRAF but not N-RAS among the four groups. Panel G illustrates significant differences in the numbers of copies of CDKN2A, PTEN, CCND1, and CDK4 among the four types of melanoma. Boxes are outlined by the first and third quartiles, with the median as a horizontal line inside. Whiskers are drawn as 1.5 times the distance between the first and third quartiles. Points outside the whiskers are considered outliers. In Panel G, enh denotes an increased number of copies, dim a reduced number of copies, amp amplification, and hom del homozygous deletion. The y axis indicates the log2 ratio of the clone representative of the respective gene. CSD denotes chronic sun-induced damage, and non-CSD no chronic sun-induced damage.
Immunohistochemical analysis showed that samples without mutationsin BRAF or N-RAS less frequently expressed phosphorylated ERKthan did samples with such mutations, suggesting that in sampleswith wild-type BRAF and N-RAS, the pathway was not activatedupstream of phosphorylated ERK (see the Supplementary Appendix).One downstream gene, CCND1, resided in the most common genomicregion affected by focused amplifications (Figure 4A). The increasesin the number of copies of CCND1 were inversely correlated withmutations in BRAF (P=0.008 by the KruskalWallis test),independently of the type of melanoma (Figure 4D). Specimensthat had increased levels of expression of CCND1 on immunohistochemicalanalysis had without exception either mutations in BRAF or N-RASor an increased number of copies of CCND1 (see the Supplementary Appendix).This observation and the strong inverse correlationbetween BRAF mutations and the increase in the number of copiesof CCND1 suggest that the elevation in the levels of CCND1 proteinas a result of either mutations in upstream genes or increasesin the gene dosage represents a crucial event driving progressionin melanoma.
Interestingly, CDK4, whose protein is one of the binding partnersof CCND1 and which is located on chromosome 12q14, was alsosubject to recurrent focal amplifications (Figure 4B). CDK4amplifications were more common in acral and mucosal melanomasthan in the other two groups (P=0.005 by the KruskalWallistest). None of the 11 specimens with CDK4 amplifications hadmutations in either BRAF or N-RAS or had amplification of CCND1(Figure 4D). The strong complementarity of the genetic interactionsamong CDK4, CCND1, BRAF, and N-RAS implicate CDK4 and CCND1as independent oncogenes in melanoma.
The CDKN2A protein (also commonly known as p16) is a melanoma-susceptibilityfactor and the main negative regulator of the CDK4CCND1complex, representing a crucial gatekeeper at the G1Scheckpoint.32 We found deletions of the CDKN2A locus in 50 percentof all melanomas, making it the most commonly lost genomic region(Figure 4G). In 10 percent of our specimens, comparative genomichybridization showed a homozygous deletion of the CDKN2A locusparalleled by a complete loss of expression of CDKN2A proteinon immunohistochemical analysis (see the Supplementary Appendix).Mucosal and acral melanomas more commonly had losses of theCDKN2A locus than did the group of melanomas on skin with chronicsun-induced damage or the group on skin without chronic sun-induceddamage (P<0.001 by the KruskalWallis test). Homozygousdeletions of CDKN2A occurred exclusively in samples withoutCDK4 amplifications (Figure 4E). This observation suggests thatamplification of CDK4 obviates the need for deletions of CDKN2A.Since the CDKN2A and CDK4 proteins bind each other in a 1:1ratio,33 the evolution of melanoma appears to be enhanced bya decrease in the ratio of CDKN2A to CDK4 that loosens checkpointcontrol for entry into the S phase. We did not note an influenceof the tumor thickness on either the frequencies of mutationsin BRAF or N-RAS or on the amplification frequencies of CCND1or CDK4 in the four groups of melanomas.
Alterations of the Phosphatidylinositol 3' Kinase Pathway
Several studies have implicated activation of the phosphatidylinositol3' kinase (PI3K) pathway as another crucial event in the progressionof melanoma. To date, PTEN, a negative regulator of the pathway,appears to be the most common somatic target in melanoma, residingin a commonly deleted genomic area on chromosome 10q. In melanomacell lines, mutations or deletions of PTEN occur together withmutations in BRAF, but not in N-RAS.34 N-RAS activates boththe PI3K pathway and the mitogen-activated protein kinase pathway,whereas BRAF seems to activate only the latter, suggesting thatduring progression, somatic events activating only one pathwayrequire a second event to activate the other. Our data are consistentwith this finding. Specimens with BRAF mutations had fewer copiesof PTEN than specimens with N-RAS mutations (P=0.02 by the KruskalWallistest). We confirmed that the PI3K pathway had been activatedby evaluating 51 specimens with sufficient tissue for immunohistochemicalanalysis of the expression of phosphorylated Akt. In this subgroupof samples, all 8 specimens with N-RAS mutations had increasedlevels of expression of phosphorylated Akt, and 14 of 17 specimens(82 percent) with PTEN loss had increased levels of expressionof phosphorylated Akt (see the Supplementary Appendix). Thepositive correlation between the loss of PTEN and mutationsin BRAF supports the notion that the PI3K pathway is an independentsomatic target that is frequently activated in primary melanoma.
Discussion
Our study shows distinct patterns of genetic alterations inthe four groups of primary melanomas as we have defined them.There were differences in both chromosomal aberrations and thefrequency of mutations of specific genes, suggesting that thesetumors develop by different mechanistic routes in response todifferent selective influences. For example, acral and mucosalmelanomas were uniquely characterized by a much higher frequencyof focal amplifications and losses than the group of melanomasthat were on skin with chronic sun-induced damage or the groupon skin without chronic sun-induced damage, indicating thatthe first two are mechanistically more similar to each otherthan to the other types. However, as our data show, selectionresults in highly divergent sets of chromosomal aberrationsin acral and mucosal tumors, findings that support their classificationas distinct entities. Because glabrous and mucosal epitheliaare morphologically distinct from each other and because solarexposure is unlikely to contribute to melanomagenesis in thesesites, we believe that these two groups of melanomas differprimarily as the result of site-specific biologic characteristics.We also found clear genetic differences between the types ofmelanoma that commonly occur on areas exposed to the sun inlight-skinned people. Melanomas on skin without chronic sun-induceddamage had frequent mutations in BRAF and frequent losses ofchromosome 10, whereas melanomas on skin with chronic sun-induceddamage had infrequent mutations in BRAF and frequent increasesin the number of copies of the CCND1 gene.
Our classification of melanomas related to exposure to ultravioletlight is based on examination of our data and data from previousepidemiologic studies.14 The previous studies found that variousrisk factors differed between melanomas on skin with chronicsun-induced damage and melanomas on skin without chronic sun-induceddamage and suggested the existence of different developmentalpaths for these types of tumors. For example, melanomas presentingon sites with chronic exposure to the sun typically occur latein life and are associated with other ultraviolet-lightrelatedneoplasms such as solar keratoses, suggesting that high cumulativedoses of ultraviolet light are required for their development.In contrast, melanomas presenting on skin that is intermittentlyexposed to the sun are typically found in persons who have alarger number of moles but fewer solar keratoses and occur ata younger age. Moreover, these melanomas and the moles sharean important genetic characteristic. In this and a previousstudy,16 we have shown that the melanomas on skin that is intermittentlyexposed to the sun have much more frequent mutations of BRAFthan do other types of melanoma, and moles have also been shownto have a high incidence of BRAF mutations.35 Thus, we proposethat the melanocytes of persons in whom melanomas develop onskin that is intermittently exposed to the sun have an increasedsusceptibility to ultraviolet exposure that involves a higherprobability of acquiring BRAF mutations or of proliferatingif such mutations occur. Epidemiologic studies and studies inanimals indicate that for these people, there may be a windowof vulnerability to exposure to ultraviolet light early in life.2,36,37These tumors should occur with site-specific incidences relatedto the patterns and timing of exposure to ultraviolet lightand the relative amount of skin at risk. In contrast, patientswithout susceptible melanocytes would require a sufficientlyhigh cumulative ultraviolet dose to induce melanoma, so thatsun-damaged skin would be present and the development wouldinvolve mechanisms that do not include BRAF mutations. Thus,these persons would have tumors predominantly on sites thatare chronically exposed to the sun, such as the face.
Although we have clearly established that there are geneticdifferences among these four groups of melanomas, our classificationrequires validation and refinement. Three important questionscome immediately to mind. First, in distinguishing between acraland mucosal melanomas, we have emphasized differences in theaffected site and morphologic differences in skin but not thelimited exposure to ultraviolet light that acral sites may receive.Second, for sites subject to substantial exposure to ultravioletlight, we have emphasized the importance of histologic signsof sun-induced damage and have not considered the possibilityproposed by Whiteman et al.14 that there could be differencesin susceptibility between melanocytes found on the trunk, arms,or legs and those found on the face. Third, we discounted thehistologic tumor type because we found that tumors on acralsites have similar genetic aberrations regardless of whetherthey are histologically acral lentiginous or superficial spreadingmelanomas and that nodular melanomas clustered with the groupswe defined on the basis of site and did not have the featuresof a separate entity. Future epidemiologic and genetic studieswill be required to identify specific genetic or epigeneticfactors associated with these variables.
Knowledge of the genetic differences among melanomas could bevaluable in the design of therapeutic strategies. Our resultslead us to make a prediction. The group of tumors on skin withoutchronic sun-induced damage, which represent the most commontype of melanoma, frequently had a mutation in BRAF togetherwith a loss of PTEN or mutations in N-RAS alone. Thus, theywould be expected to be responsive to therapeutic interventionstargeting the RASRAFERK and PI3K pathways. Incontrast, the majority of melanomas in the other three groupsdid not have mutations in BRAF or N-RAS but instead had increasednumbers of copies of the downstream gene CCND1 or CDK4. Thus,these three groups of melanomas would be less likely to respondto therapeutic interventions that target upstream componentsof the mitogen-activated protein kinase pathway including BRAF,such as sorafenib.38
Our study provides genetic support for the existence of distinctmolecular pathways to melanoma, each with a unique relationshipto exposure to ultraviolet light. This finding should affectthe design of future studies involving the treatment and preventionof melanoma and suggests the existence of as-yet-unidentifiedsusceptibility factors.
Supported by grants (R33 CA95300 and R01 CA094963) from theNational Cancer Institute.
We are indebted to Drs. John L. Ziegler and Ervin H. Epstein,Jr., for helpful comments on the manuscript and to Susan Charzanand Dr. George Carter for their technical assistance.
Source Information
From the Comprehensive Cancer Center (J.A.C., J.F., H.N.P., D.P., B.C.B.) and the Departments of Epidemiology and Biostatistics (J.F.) and Dermatology and Pathology (P.E.L., B.C.B.), University of California, San Francisco, San Francisco; the Department of Dermatology, Kumamoto University School of Medicine, Kumamoto, Japan (T.K.); the Department of Pathology, Memorial Sloan-Kettering Cancer Center, New York (K.J.B.); DermPath, Friedrichshafen, Germany (H.K.); the Department of Dermatology, Seoul National University College of Medicine, Seoul, South Korea (K.-H.C.); the Department of Dermatology, Tohoku University Graduate School of Medicine, Sendai, Japan (S.A.); and the Department of Dermatology, University of Würzburg, Würzburg, Germany (E.-B.B.).
Address reprint requests to Dr. Bastian at UCSF Cancer Center, Box 0808, San Francisco, CA 94143-0808, or at bastian{at}cc.ucsf.edu.
Whiteman DC, Whiteman CA, Green AC. Childhood sun exposure as a risk factor for melanoma: a systematic review of epidemiologic studies. Cancer Causes Control 2001;12:69-82. [CrossRef][Web of Science][Medline]
MacKie RM, Aitchison T. Severe sunburn and subsequent risk of primary cutaneous malignant-melanoma in Scotland. Br J Cancer 1982;46:955-960. [Web of Science][Medline]
Beral V, Robinson N. The relationship of malignant melanoma, basal and squamous skin cancers to indoor and outdoor work. Br J Cancer 1981;44:886-891. [Web of Science][Medline]
Vagero D, Ringback G, Kiviranta H. Melanoma and other tumors of the skin among office, other indoor and outdoor workers in Sweden 1961-1979. Br J Cancer 1986;53:507-512. [Web of Science][Medline]
Albino AP, Nanus DM, Mentle IR, et al. Analysis of ras oncogenes in malignant melanoma and precursor lesions: correlation of point mutations with differentiation phenotype. Oncogene 1989;4:1363-1374. [Web of Science][Medline]
Davies H, Bignell GR, Cox C, et al. Mutations of the BRAF gene in human cancer. Nature 2002;417:949-954. [CrossRef][Medline]
Clark WH Jr, From L, Bernardino EA, Mihm MC. The histogenesis and biologic behavior of primary human malignant melanomas of the skin. Cancer Res 1969;29:705-727. [Free Full Text]
McGovern VJ, Mihm MC Jr, Bailly C, et al. Classification of malignant melanoma and its histologic reporting. Cancer 1973;32:1446-1457. [CrossRef][Medline]
Ackerman AB. Malignant melanoma: a unifying concept. Hum Pathol 1980;11:591-595. [Web of Science][Medline]
Barnhill RL, Fine JA, Roush GC, Berwick M. Predicting five-year outcome for patients with cutaneous melanoma in a population-based study. Cancer 1996;78:427-432. [Erratum, Cancer 1997;79:423.] [CrossRef][Web of Science][Medline]
Balch CM. Cutaneous melanoma: prognosis and treatment results worldwide. Semin Surg Oncol 1992;8:400-414. [Web of Science][Medline]
Whiteman DC, Parsons PG, Green AC. p53 Expression and risk factors for cutaneous melanoma: a case-control study. Int J Cancer 1998;77:843-848. [CrossRef][Web of Science][Medline]
Whiteman DC, Watt P, Purdie DM, Hughes MC, Hayward NK, Green AC. Melanocytic nevi, solar keratoses, and divergent pathways to cutaneous melanoma. J Natl Cancer Inst 2003;95:806-812. [Free Full Text]
Maldonado JL, Fridlyand J, Patel H, et al. Determinants of BRAF mutations in primary melanomas. J Natl Cancer Inst 2003;95:1878-1890. [Free Full Text]
Bastian BC, Kashani-Sabet M, Hamm H, et al. Gene amplifications characterize acral melanoma and permit the detection of occult tumor cells in the surrounding skin. Cancer Res 2000;60:1968-1973. [Free Full Text]
Bastian BC, Olshen AB, LeBoit PE, Pinkel D. Classifying melanocytic tumors based on DNA copy number changes. Am J Pathol 2003;163:1765-1770. [Free Full Text]
van Dijk M, Sprenger S, Rombout P, et al. Distinct chromosomal aberrations in sinonasal mucosal melanoma as detected by comparative genomic hybridization. Genes Chromosomes Cancer 2003;36:151-158. [CrossRef][Medline]
Pinkel D, Segraves R, Sudar D, et al. High resolution analysis of DNA copy number variation using comparative genomic hybridization to microarrays. Nat Genet 1998;20:207-211. [CrossRef][Web of Science][Medline]
Snijders AM, Nowak N, Segraves R, et al. Assembly of microarrays for genome-wide measurement of DNA copy number. Nat Genet 2001;29:263-264. [CrossRef][Web of Science][Medline]
Bastian BC, LeBoit PE, Hamm H, Brocker EB, Pinkel D. Chromosomal gains and losses in primary cutaneous melanomas detected by comparative genomic hybridization. Cancer Res 1998;58:2170-2175. [Free Full Text]
Snijders AM, Fridlyand J, Mans DA, et al. Shaping of tumor and drug-resistant genomes by instability and selection. Oncogene 2003;22:4370-4379. [CrossRef][Web of Science][Medline]
Bastian BC, LeBoit PE, Pinkel D. Mutations and copy number increase of HRAS in Spitz nevi with distinctive histopathological features. Am J Pathol 2000;157:967-972. [Free Full Text]
Sauter ER, Yeo UC, von Stemm A, et al. Cyclin D1 is a candidate oncogene in cutaneous melanoma. Cancer Res 2002;62:3200-3206. [Free Full Text]
Fridlyand J, Snijders AM, Pinkel D, Albertson DG, Jain AN. Hidden Markov models approach to the analysis of array CGH data. J Multivariate Anal 2004;90:132-53.
Cleveland WS. Lowess: a program for smoothing scatterplots by robust locally weighted regression. Am Stat 1981;35:54-54.
Westfall PH, Young SS. Resampling-based multiple testing: examples and methods for P-value adjustment. New York: John Wiley, 1993.
Dudoit S, Fridlyand J, Speed TP. Comparison of discrimination methods for the classification of tumors using gene expression data. J Am Stat Assoc 2002;97:77-87. [CrossRef][Web of Science]
Ikaka R, Gentleman R. R, a language for data analysis and graphics. J Comput Gr Stat 1996;5:229-314.
Serrano M, Lee HW, Chin L, Cordon-Cardo C, Beach D, DePinho RA. Role of the INK4a locus in tumor suppression and cell mortality. Cell 1996;85:27-37. [CrossRef][Web of Science][Medline]
Serrano M, Hannon GJ, Beach D. A new regulatory motif in cell-cycle control causing specific inhibition of cyclin D/CDK4. Nature 1993;366:704-707. [CrossRef][Medline]
Tsao H, Zhang X, Fowlkes K, Haluska FG. Relative reciprocity of NRAS and PTEN/MMAC1 alterations in cutaneous melanoma cell lines. Cancer Res 2000;60:1800-1804. [Free Full Text]
Pollock PM, Harper UL, Hansen KS, et al. High frequency of BRAF mutations in nevi. Nat Genet 2003;33:19-20. [CrossRef][Web of Science][Medline]
Noonan FP, Recio JA, Takayama H, et al. Neonatal sunburn and melanoma in mice. Nature 2001;413:271-272. [CrossRef][Medline]
Kelly JW, Rivers JK, MacLennan R, Harrison S, Lewis AE, Tate BJ. Sunlight: a major factor associated with the development of melanocytic nevi in Australian schoolchildren. J Am Acad Dermatol 1994;30:40-48. [Web of Science][Medline]
Lyons JF, Wilhelm S, Hibner B, Bollag G. Discovery of a novel Raf kinase inhibitor. Endocr Relat Cancer 2001;8:219-225. [Abstract]
Kashani-Sabet, M., Venna, S., Nosrati, M., Rangel, J., Sucker, A., Egberts, F., Baehner, F. L., Simko, J., Leong, S. P.L., Haqq, C., Hauschild, A., Schadendorf, D., Miller, J. R. III, Sagebiel, R. W.
(2009). A Multimarker Prognostic Assay for Primary Cutaneous Melanoma. Clin. Cancer Res.
15: 6987-6992
[Abstract][Full Text]
Cust, A. E., Schmid, H., Maskiell, J. A., Jetann, J., Ferguson, M., Holland, E. A., Agha-Hamilton, C., Jenkins, M. A., Kelly, J., Kefford, R. F., Giles, G. G., Armstrong, B. K., Aitken, J. F., Hopper, J. L., Mann, G. J.
(2009). Population-based, Case-Control-Family Design to Investigate Genetic and Environmental Influences on Melanoma Risk: Australian Melanoma Family Study. Am J Epidemiol
0: kwp307v1-kwp307
[Abstract][Full Text]
Khodadoust, M. S., Verhaegen, M., Kappes, F., Riveiro-Falkenbach, E., Cigudosa, J. C., Kim, D. S.L., Chinnaiyan, A. M., Markovitz, D. M., Soengas, M. S.
(2009). Melanoma Proliferation and Chemoresistance Controlled by the DEK Oncogene. Cancer Res.
69: 6405-6413
[Abstract][Full Text]
Woodman, S. E., Trent, J. C., Stemke-Hale, K., Lazar, A. J., Pricl, S., Pavan, G. M., Fermeglia, M., Gopal, Y.N. V., Yang, D., Podoloff, D. A., Ivan, D., Kim, K. B., Papadopoulos, N., Hwu, P., Mills, G. B., Davies, M. A.
(2009). Activity of dasatinib against L576P KIT mutant melanoma: Molecular, cellular, and clinical correlates. Molecular Cancer Therapeutics
8: 2079-2085
[Abstract][Full Text]
Hersey, P., Bastholt, L., Chiarion-Sileni, V., Cinat, G., Dummer, R., Eggermont, A. M. M., Espinosa, E., Hauschild, A., Quirt, I., Robert, C., Schadendorf, D.
(2009). Small molecules and targeted therapies in distant metastatic disease. Ann Oncol
20: vi35-vi40
[Abstract][Full Text]
Wilkins, D.K., Nathan, P.D.
(2009). Review: Therapeutic opportunities in noncutaneous melanoma. Therapeutic Advances in Medical Oncology
1: 29-36
[Abstract]
Chernoff, K. A., Bordone, L., Horst, B., Simon, K., Twadell, W., Lee, K., Cohen, J. A., Wang, S., Silvers, D. N., Brunner, G., Celebi, J. T.
(2009). GAB2 Amplifications Refine Molecular Classification of Melanoma. Clin. Cancer Res.
15: 4288-4291
[Abstract][Full Text]
Arbiser, J. L., Bonner, M. Y.
(2009). Melanomas Reveal Their Nakedness: Uncovered by Interferon Alfa. Arch Dermatol
145: 587-588
[Full Text]
Daniels, A. B., Abramson, D. H.
(2009). c-KIT in Uveal Melanoma: Big Fish or Red Herring?. Arch Ophthalmol
127: 695-697
[Full Text]
Wang, Y., DiGiovanna, J. J., Stern, J. B., Hornyak, T. J., Raffeld, M., Khan, S. G., Oh, K.-S., Hollander, M. C., Dennis, P. A., Kraemer, K. H.
(2009). Evidence of ultraviolet type mutations in xeroderma pigmentosum melanomas. Proc. Natl. Acad. Sci. USA
106: 6279-6284
[Abstract][Full Text]
Gaudy-Marqueste, C., Madjlessi, N., Guillot, B., Avril, M.-F., Grob, J.-J.
(2009). Risk Factors in Elderly People for Lentigo Maligna Compared With Other Melanomas: A Double Case-Control Study. Arch Dermatol
145: 418-423
[Abstract][Full Text]
Bradford, P. T., Goldstein, A. M., McMaster, M. L., Tucker, M. A.
(2009). Acral Lentiginous Melanoma: Incidence and Survival Patterns in the United States, 1986-2005. Arch Dermatol
145: 427-434
[Abstract][Full Text]
Yamaura, M., Mitsushita, J., Furuta, S., Kiniwa, Y., Ashida, A., Goto, Y., Shang, W. H., Kubodera, M., Kato, M., Takata, M., Saida, T., Kamata, T.
(2009). NADPH Oxidase 4 Contributes to Transformation Phenotype of Melanoma Cells by Regulating G2-M Cell Cycle Progression. Cancer Res.
69: 2647-2654
[Abstract][Full Text]
Massoumi, R., Kuphal, S., Hellerbrand, C., Haas, B., Wild, P., Spruss, T., Pfeifer, A., Fassler, R., Bosserhoff, A. K.
(2009). Down-regulation of CYLD expression by Snail promotes tumor progression in malignant melanoma. JEM
206: 221-232
[Abstract][Full Text]
Jiang, X., Zhou, J., Yuen, N. K., Corless, C. L., Heinrich, M. C., Fletcher, J. A., Demetri, G. D., Widlund, H. R., Fisher, D. E., Hodi, F. S.
(2008). Imatinib Targeting of KIT-Mutant Oncoprotein in Melanoma. Clin. Cancer Res.
14: 7726-7732
[Abstract][Full Text]
Beadling, C., Jacobson-Dunlop, E., Hodi, F. S., Le, C., Warrick, A., Patterson, J., Town, A., Harlow, A., Cruz, F. III, Azar, S., Rubin, B. P., Muller, S., West, R., Heinrich, M. C., Corless, C. L.
(2008). KIT Gene Mutations and Copy Number in Melanoma Subtypes. Clin. Cancer Res.
14: 6821-6828
[Abstract][Full Text]
Segura, S., Pellacani, G., Puig, S., Longo, C., Bassoli, S., Guitera, P., Palou, J., Menzies, S., Seidenari, S., Malvehy, J.
(2008). In Vivo Microscopic Features of Nodular Melanomas: Dermoscopy, Confocal Microscopy, and Histopathologic Correlates. Arch Dermatol
144: 1311-1320
[Abstract][Full Text]
Smalley, K. S.M., Lioni, M., Palma, M. D., Xiao, M., Desai, B., Egyhazi, S., Hansson, J., Wu, H., King, A. J., Van Belle, P., Elder, D. E., Flaherty, K. T., Herlyn, M., Nathanson, K. L.
(2008). Increased cyclin D1 expression can mediate BRAF inhibitor resistance in BRAF V600E-mutated melanomas. Molecular Cancer Therapeutics
7: 2876-2883
[Abstract][Full Text]
Gerami, P., Guitart, J., Martini, M., Wayne, J. D., Kuzel, T.
(2008). Cyclin D1 Homogeneous Staining Regions by Fluorescent In Situ Hybridization: A Possible Indicator of Aggressive Behavior in Melanomas. Arch Dermatol
144: 1235-1236
[Full Text]
Smalley, K. S.M., Contractor, R., Nguyen, T. K., Xiao, M., Edwards, R., Muthusamy, V., King, A. J., Flaherty, K. T., Bosenberg, M., Herlyn, M., Nathanson, K. L.
(2008). Identification of a Novel Subgroup of Melanomas with KIT/Cyclin-Dependent Kinase-4 Overexpression. Cancer Res.
68: 5743-5752
[Abstract][Full Text]
Sekulic, A., Haluska, P. Jr, Miller, A. J., De Lamo, J. G., Ejadi, S., Pulido, J. S., Salomao, D. R., Thorland, E. C., Vile, R. G., Swanson, D. L., Pockaj, B. A., Laman, S. D., Pittelkow, M. R., Markovic, S. N., Melanoma Study Group of the Mayo Clinic Cancer Cen,
(2008). Malignant Melanoma in the 21st Century: The Emerging Molecular Landscape. Mayo Clin Proc.
83: 825-846
[Abstract][Full Text]
Freedberg, D. E., Rigas, S. H., Russak, J., Gai, W., Kaplow, M., Osman, I., Turner, F., Randerson-Moor, J. A., Houghton, A., Busam, K., Timothy Bishop, D., Bastian, B. C., Newton-Bishop, J. A., Polsky, D.
(2008). Frequent p16-Independent Inactivation of p14ARF in Human Melanoma. JNCI J Natl Cancer Inst
100: 784-795
[Abstract][Full Text]
Lo, R. S., Witte, O. N.
(2008). Transforming Growth Factor-{beta} Activation Promotes Genetic Context-Dependent Invasion of Immortalized Melanocytes. Cancer Res.
68: 4248-4257
[Abstract][Full Text]
Greshock, J., Cheng, J., Rusnak, D., Martin, A. M., Wooster, R., Gilmer, T., Lee, K., Weber, B. L., Zaks, T.
(2008). Genome-wide DNA copy number predictors of lapatinib sensitivity in tumor-derived cell lines. Molecular Cancer Therapeutics
7: 935-943
[Abstract][Full Text]
Tucker, M. A.
(2008). Is Sunlight Important to Melanoma Causation?. Cancer Epidemiol. Biomarkers Prev.
17: 467-468
[Full Text]
Meyskens, F. L. Jr., Berwick, M.
(2008). UV or Not UV: Metals Are The Answer. Cancer Epidemiol. Biomarkers Prev.
17: 268-270
[Full Text]
Hoek, K. S., Eichhoff, O. M., Schlegel, N. C., Dobbeling, U., Kobert, N., Schaerer, L., Hemmi, S., Dummer, R.
(2008). In vivo Switching of Human Melanoma Cells between Proliferative and Invasive States. Cancer Res.
68: 650-656
[Abstract][Full Text]
Lin, W. M., Baker, A. C., Beroukhim, R., Winckler, W., Feng, W., Marmion, J. M., Laine, E., Greulich, H., Tseng, H., Gates, C., Hodi, F. S., Dranoff, G., Sellers, W. R., Thomas, R. K., Meyerson, M., Golub, T. R., Dummer, R., Herlyn, M., Getz, G., Garraway, L. A.
(2008). Modeling Genomic Diversity and Tumor Dependency in Malignant Melanoma. Cancer Res.
68: 664-673
[Abstract][Full Text]
Vallacchi, V., Daniotti, M., Ratti, F., Di Stasi, D., Deho, P., De Filippo, A., Tragni, G., Balsari, A., Carbone, A., Rivoltini, L., Parmiani, G., Lazar, N., Perbal, B., Rodolfo, M.
(2008). CCN3/Nephroblastoma Overexpressed Matricellular Protein Regulates Integrin Expression, Adhesion, and Dissemination in Melanoma. Cancer Res.
68: 715-723
[Abstract][Full Text]
Liu, S., Wang, H., Currie, B. M., Molinolo, A., Leung, H. J., Moayeri, M., Basile, J. R., Alfano, R. W., Gutkind, J. S., Frankel, A. E., Bugge, T. H., Leppla, S. H.
(2008). Matrix Metalloproteinase-activated Anthrax Lethal Toxin Demonstrates High Potency in Targeting Tumor Vasculature. J. Biol. Chem.
283: 529-540
[Abstract][Full Text]
Zell, J. A., Cinar, P., Mobasher, M., Ziogas, A., Meyskens, F. L. Jr, Anton-Culver, H.
(2008). Survival for Patients With Invasive Cutaneous Melanoma Among Ethnic Groups: The Effects of Socioeconomic Status and Treatment. JCO
26: 66-75
[Abstract][Full Text]
Sabatino, M., Zhao, Y., Voiculescu, S., Monaco, A., Robbins, P., Karai, L., Nickoloff, B. J., Maio, M., Selleri, S., Marincola, F. M., Wang, E.
(2008). Conservation of Genetic Alterations in Recurrent Melanoma Supports the Melanoma Stem Cell Hypothesis. Cancer Res.
68: 122-131
[Abstract][Full Text]
Liao, Y.-H., Hsu, S.-M., Huang, P.-H.
(2007). ARMS Depletion Facilitates UV Irradiation Induced Apoptotic Cell Death in Melanoma. Cancer Res.
67: 11547-11556
[Abstract][Full Text]
Solit, D. B., Santos, E., Pratilas, C. A., Lobo, J., Moroz, M., Cai, S., Blasberg, R., Sebolt-Leopold, J., Larson, S., Rosen, N.
(2007). 3'-Deoxy-3'-[18F]Fluorothymidine Positron Emission Tomography Is a Sensitive Method for Imaging the Response of BRAF-Dependent Tumors to MEK Inhibition. Cancer Res.
67: 11463-11469
[Abstract][Full Text]
Delmas, V., Beermann, F., Martinozzi, S., Carreira, S., Ackermann, J., Kumasaka, M., Denat, L., Goodall, J., Luciani, F., Viros, A., Demirkan, N., Bastian, B. C., Goding, C. R., Larue, L.
(2007). beta-Catenin induces immortalization of melanocytes by suppressing p16INK4a expression and cooperates with N-Ras in melanoma development. Genes Dev.
21: 2923-2935
[Abstract][Full Text]
Abbas, S., Bhoumik, A., Dahl, R., Vasile, S., Krajewski, S., Cosford, N. D.P., Ronai, Z. A.
(2007). Preclinical Studies of Celastrol and Acetyl Isogambogic Acid in Melanoma. Clin. Cancer Res.
13: 6769-6778
[Abstract][Full Text]
McDermott, D. F., Atkins, M. B.
(2007). More Support for the Judicious Use of High-Dose Interleukin-2 in Patients With Advanced Melanoma. JCO
25: 3791-3793
[Full Text]
Thomas, N. E., Edmiston, S. N., Alexander, A., Millikan, R. C., Groben, P. A., Hao, H., Tolbert, D., Berwick, M., Busam, K., Begg, C. B., Mattingly, D., Ollila, D. W., Tse, C. K., Hummer, A., Lee-Taylor, J., Conway, K.
(2007). Number of Nevi and Early-Life Ambient UV Exposure Are Associated with BRAF-Mutant Melanoma. Cancer Epidemiol. Biomarkers Prev.
16: 991-997
[Abstract][Full Text]
Fecher, L. A., Cummings, S. D., Keefe, M. J., Alani, R. M.
(2007). Toward a Molecular Classification of Melanoma. JCO
25: 1606-1620
[Abstract][Full Text]
Greshock, J., Nathanson, K., Martin, A.-M., Zhang, L., Coukos, G., Weber, B. L., Zaks, T. Z.
(2007). Cancer Cell Lines as Genetic Models of Their Parent Histology: Analyses Based on Array Comparative Genomic Hybridization. Cancer Res.
67: 3594-3600
[Abstract][Full Text]
Markovic, S. N., Erickson, L. A., Rao, R. D., Weenig, R. H., Pockaj, B. A., Bardia, A., Vachon, C. M., Schild, S. E., McWilliams, R. R., Hand, J. L., Laman, S. D., Kottschade, L. A., Maples, W. J., Pittelkow, M. R., Pulido, J. S., Cameron, J. D., Creagan, E. T., Melanoma Study Group of the Mayo Clinic Cancer Cen,
(2007). Malignant Melanoma in the 21st Century, Part 2: Staging, Prognosis, and Treatment. Mayo Clin Proc.
82: 490-513
[Abstract][Full Text]
Stark, M., Hayward, N.
(2007). Genome-Wide Loss of Heterozygosity and Copy Number Analysis in Melanoma Using High-Density Single-Nucleotide Polymorphism Arrays. Cancer Res.
67: 2632-2642
[Abstract][Full Text]
Becker, J. C., Brocker, E. B., Schadendorf, D., Ugurel, S.
(2007). Imatinib in Melanoma: A Selective Treatment Option Based on KIT Mutation Status?. JCO
25: e9-e9
[Full Text]
Shields, J. M., Thomas, N. E., Cregger, M., Berger, A. J., Leslie, M., Torrice, C., Hao, H., Penland, S., Arbiser, J., Scott, G., Zhou, T., Bar-Eli, M., Bear, J. E., Der, C. J., Kaufmann, W. K., Rimm, D. L., Sharpless, N. E.
(2007). Lack of Extracellular Signal-Regulated Kinase Mitogen-Activated Protein Kinase Signaling Shows a New Type of Melanoma. Cancer Res.
67: 1502-1512
[Abstract][Full Text]
Hollestelle, A., Elstrodt, F., Nagel, J. H.A., Kallemeijn, W. W., Schutte, M.
(2007). Phosphatidylinositol-3-OH Kinase or RAS Pathway Mutations in Human Breast Cancer Cell Lines. Mol Cancer Res
5: 195-201
[Abstract][Full Text]
Climent, J., Dimitrow, P., Fridlyand, J., Palacios, J., Siebert, R., Albertson, D. G., Gray, J. W., Pinkel, D., Lluch, A., Martinez-Climent, J. A.
(2007). Deletion of Chromosome 11q Predicts Response to Anthracycline-Based Chemotherapy in Early Breast Cancer. Cancer Res.
67: 818-826
[Abstract][Full Text]
Muthusamy, V., Duraisamy, S., Bradbury, C. M., Hobbs, C., Curley, D. P., Nelson, B., Bosenberg, M.
(2006). Epigenetic Silencing of Novel Tumor Suppressors in Malignant Melanoma. Cancer Res.
66: 11187-11193
[Abstract][Full Text]
Verhaegen, M., Bauer, J. A., Martin de la Vega, C., Wang, G., Wolter, K. G., Brenner, J. C., Nikolovska-Coleska, Z., Bengtson, A., Nair, R., Elder, J. T., Van Brocklin, M., Carey, T. E., Bradford, C. R., Wang, S., Soengas, M. S.
(2006). A Novel BH3 Mimetic Reveals a Mitogen-Activated Protein Kinase-Dependent Mechanism of Melanoma Cell Death Controlled by p53 and Reactive Oxygen Species. Cancer Res.
66: 11348-11359
[Abstract][Full Text]
Lipsker, D.
(2006). Growth Rate, Early Detection, and Prevention of Melanoma: Melanoma Epidemiology Revisited and Future Challenges. Arch Dermatol
142: 1638-1640
[Full Text]
Becker, D., Mihm, M. C., Hewitt, S. M., Sondak, V. K., Fountain, J. W., Thurin, M.
(2006). Markers and Tissue Resources for Melanoma: Meeting Report.. Cancer Res.
66: 10652-10657
[Abstract][Full Text]
Prieto, V. G., Mourad-Zeidan, A. A., Melnikova, V., Johnson, M. M., Lopez, A., Diwan, A. H., Lazar, A. J.F., Shen, S. S., Zhang, P. S., Reed, J. A., Gershenwald, J. E., Raz, A., Bar-Eli, M.
(2006). Galectin-3 Expression Is Associated with Tumor Progression and Pattern of Sun Exposure in Melanoma.. Clin. Cancer Res.
12: 6709-6715
[Abstract][Full Text]
Lopez-Knowles, E., Hernandez, S., Kogevinas, M., Lloreta, J., Amoros, A., Tardon, A., Carrato, A., Kishore, S., Serra, C., Malats, N., Real, F. X., on behalf of the EPICURO Study Investigators,
(2006). The p53 Pathway and Outcome among Patients with T1G3 Bladder Tumors.. Clin. Cancer Res.
12: 6029-6036
[Abstract][Full Text]
Cormier, J. N., Xing, Y., Ding, M., Lee, J. E., Mansfield, P. F., Gershenwald, J. E., Ross, M. I., Du, X. L.
(2006). Ethnic differences among patients with cutaneous melanoma.. Arch Intern Med
166: 1907-1914
[Abstract][Full Text]
Hwu, P., Bedikian, A. Y., Grimm, E. A.
(2006). Challenges of chemosensitivity testing.. Clin. Cancer Res.
12: 5258-5259
[Full Text]
Mitchell, D.
(2006). Revisiting the photochemistry of solar UVA in human skin. Proc. Natl. Acad. Sci. USA
103: 13567-13568
[Full Text]
Curtin, J. A., Busam, K., Pinkel, D., Bastian, B. C.
(2006). Somatic Activation of KIT in Distinct Subtypes of Melanoma. JCO
24: 4340-4346
[Abstract][Full Text]
Matsukuma, S., Yoshihara, M., Kasai, F., Kato, A., Yoshida, A., Akaike, M., Kobayashi, O., Nakayama, H., Sakuma, Y., Yoshida, T., Kameda, Y., Tsuchiya, E., Miyagi, Y.
(2006). Rapid and Simple Detection of Hot Spot Point Mutations of Epidermal Growth Factor Receptor, BRAF, and NRAS in Cancers Using the Loop-Hybrid Mobility Shift Assay. J. Mol. Diagn.
8: 504-512
[Abstract][Full Text]
Packer, L., Pavey, S., Parker, A., Stark, M., Johansson, P., Clarke, B., Pollock, P., Ringner, M., Hayward, N.
(2006). Osteopontin is a downstream effector of the PI3-kinase pathway in melanomas that is inversely correlated with functional PTEN. Carcinogenesis
27: 1778-1786
[Abstract][Full Text]
Gao, L., Feng, Y., Bowers, R., Becker-Hapak, M., Gardner, J., Council, L., Linette, G., Zhao, H., Cornelius, L. A.
(2006). Ras-Associated Protein-1 Regulates Extracellular Signal-Regulated Kinase Activation and Migration in Melanoma Cells: Two Processes Important to Melanoma Tumorigenesis and Metastasis. Cancer Res.
66: 7880-7888
[Abstract][Full Text]
Chin, L., Garraway, L. A., Fisher, D. E.
(2006). Malignant melanoma: genetics and therapeutics in the genomic era.. Genes Dev.
20: 2149-2182
[Abstract][Full Text]
Tormo, D., Ferrer, A., Gaffal, E., Wenzel, J., Basner-Tschakarjan, E., Steitz, J., Heukamp, L. C., Gutgemann, I., Buettner, R., Malumbres, M., Barbacid, M., Merlino, G., Tuting, T.
(2006). Rapid Growth of Invasive Metastatic Melanoma in Carcinogen-Treated Hepatocyte Growth Factor/Scatter Factor-Transgenic Mice Carrying an Oncogenic CDK4 Mutation. Am. J. Pathol.
169: 665-672
[Abstract][Full Text]
Perry, B. N., Cohen, C., Govindarajan, B., Cotsonis, G., Arbiser, J. L.
(2006). Wilms tumor 1 expression present in most melanomas but nearly absent in nevi.. Arch Dermatol
142: 1031-1034
[Abstract][Full Text]
Saldanha, G., Potter, L., DaForno, P., Pringle, J. H.
(2006). Cutaneous Melanoma Subtypes Show Different BRAF and NRAS Mutation Frequencies. Clin. Cancer Res.
12: 4499-4505
[Abstract][Full Text]
Landi, M. T., Bauer, J., Pfeiffer, R. M., Elder, D. E., Hulley, B., Minghetti, P., Calista, D., Kanetsky, P. A., Pinkel, D., Bastian, B. C.
(2006). MC1R Germline Variants Confer Risk for BRAF-Mutant Melanoma. Science
313: 521-522
[Abstract][Full Text]
Miller, A. J., Mihm, M. C. Jr.
(2006). Melanoma.. NEJM
355: 51-65
[Full Text]
Whiteman, D. C., Stickley, M., Watt, P., Hughes, M. C., Davis, M. B., Green, A. C.
(2006). Anatomic Site, Sun Exposure, and Risk of Cutaneous Melanoma. JCO
24: 3172-3177
[Abstract][Full Text]
Petti, C., Molla, A., Vegetti, C., Ferrone, S., Anichini, A., Sensi, M.
(2006). Coexpression of NRASQ61R and BRAFV600E in Human Melanoma Cells Activates Senescence and Increases Susceptibility to Cell-Mediated Cytotoxicity.. Cancer Res.
66: 6503-6511
[Abstract][Full Text]
Mirmohammadsadegh, A., Marini, A., Nambiar, S., Hassan, M., Tannapfel, A., Ruzicka, T., Hengge, U. R.
(2006). Epigenetic Silencing of the PTEN Gene in Melanoma.. Cancer Res.
66: 6546-6552
[Abstract][Full Text]
Desai, A., Krathen, R., Orengo, I., Medrano, E. E.
(2006). The age of skin cancers.. Sci Aging Knowl Environ
2006: pe13-pe13
[Abstract][Full Text]
Elder, D. E.
(2006). Pathology of melanoma.. Clin. Cancer Res.
12: 2308s-2311s
[Abstract][Full Text]
Koon, H., Atkins, M.
(2006). Autoimmunity and Immunotherapy for Cancer. NEJM
354: 758-760
[Full Text]
Goding, C., Meyskens, F. L. Jr.
(2006). Microphthalmic-Associated Transcription Factor Integrates Melanocyte Biology and Melanoma Progression. Clin. Cancer Res.
12: 1069-1073
[Full Text]