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Integrative genetic analysis suggests that skin color modifies the genetic architecture of melanoma.
Hulur I, Skol AD, Gamazon ER, Cox NJ, Onel K
(2017) PLoS One 12: e0185730
MeSH Terms: European Continental Ancestry Group, Gene Frequency, Genetic Loci, Genetic Predisposition to Disease, Genetic Testing, Genetic Variation, Genome-Wide Association Study, Humans, Melanoma, Models, Genetic, Polymorphism, Single Nucleotide, Skin Neoplasms, Skin Pigmentation
Show Abstract · Added October 27, 2017
Melanoma is the deadliest form of skin cancer and presents a significant health care burden in many countries. In addition to ultraviolet radiation in sunlight, the main causal factor for melanoma, genetic factors also play an important role in melanoma susceptibility. Although genome-wide association studies have identified many single nucleotide polymorphisms associated with melanoma, little is known about the proportion of disease risk attributable to these loci and their distribution throughout the genome. Here, we investigated the genetic architecture of melanoma in 1,888 cases and 990 controls of European non-Hispanic ancestry. We estimated the overall narrow-sense heritability of melanoma to be 0.18 (P < 0.03), indicating that genetics contributes significantly to the risk of sporadically-occurring melanoma. We then demonstrated that only a small proportion of this risk is attributable to known risk variants, suggesting that much remains unknown of the role of genetics in melanoma. To investigate further the genetic architecture of melanoma, we partitioned the heritability by chromosome, minor allele frequency, and functional annotations. We showed that common genetic variation contributes significantly to melanoma risk, with a risk model defined by a handful of genomic regions rather than many risk loci distributed throughout the genome. We also demonstrated that variants affecting gene expression in skin account for a significant proportion of the heritability, and are enriched among melanoma risk loci. Finally, by incorporating skin color into our analyses, we observed both a shift in significance for melanoma-associated loci and an enrichment of expression quantitative trait loci among melanoma susceptibility variants. These findings suggest that skin color may be an important modifier of melanoma risk. We speculate that incorporating skin color and other non-genetic factors into genetic studies may allow for an improved understanding of melanoma susceptibility and guide future investigations to identify melanoma risk genes.
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13 MeSH Terms
Quantitative Mass Spectrometry Analysis of PD-L1 Protein Expression, -glycosylation and Expression Stoichiometry with PD-1 and PD-L2 in Human Melanoma.
Morales-Betanzos CA, Lee H, Gonzalez Ericsson PI, Balko JM, Johnson DB, Zimmerman LJ, Liebler DC
(2017) Mol Cell Proteomics 16: 1705-1717
MeSH Terms: Acetylglucosamine, Adult, Aged, B7-H1 Antigen, Biopsy, Cohort Studies, Female, Glycosylation, Humans, Male, Mannose, Mass Spectrometry, Melanoma, Middle Aged, Polysaccharides, Programmed Cell Death 1 Ligand 2 Protein, Programmed Cell Death 1 Receptor, Protein Processing, Post-Translational, Skin Neoplasms, T-Lymphocytes
Show Abstract · Added March 14, 2018
Quantitative assessment of key proteins that control the tumor-immune interface is one of the most formidable analytical challenges in immunotherapeutics. We developed a targeted MS platform to quantify programmed cell death-1 (PD-1), programmed cell death 1 ligand 1 (PD-L1), and programmed cell death 1 ligand 2 (PD-L2) at fmol/microgram protein levels in formalin fixed, paraffin-embedded sections from 22 human melanomas. PD-L1 abundance ranged 50-fold, from ∼0.03 to 1.5 fmol/microgram protein and the parallel reaction monitoring (PRM) data were largely concordant with total PD-L1-positive cell content, as analyzed by immunohistochemistry (IHC) with the E1L3N antibody. PD-1 was measured at levels up to 20-fold lower than PD-L1, but the abundances were not significantly correlated (r = 0.062, = 0.264). PD-1 abundance was weakly correlated (r = 0.3057, = 0.009) with the fraction of lymphocytes and histiocytes in sections. PD-L2 was measured from 0.03 to 1.90 fmol/microgram protein and the ratio of PD-L2 to PD-L1 abundance ranged from 0.03 to 2.58. In 10 samples, PD-L2 was present at more than half the level of PD-L1, which suggests that PD-L2, a higher affinity PD-1 ligand, is sufficiently abundant to contribute to T-cell downregulation. We also identified five branched mannose and N-acetylglucosamine glycans at PD-L1 position N192 in all 22 samples. Extent of PD-L1 glycan modification varied by ∼10-fold and the melanoma with the highest PD-L1 protein abundance and most abundant glycan modification yielded a very low PD-L1 IHC estimate, thus suggesting that N-glycosylation may affect IHC measurement and PD-L1 function. Additional PRM analyses quantified immune checkpoint/co-regulator proteins LAG3, IDO1, TIM-3, VISTA, and CD40, which all displayed distinct expression independent of PD-1, PD-L1, and PD-L2. Targeted MS can provide a next-generation analysis platform to advance cancer immuno-therapeutic research and diagnostics.
© 2017 by The American Society for Biochemistry and Molecular Biology, Inc.
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20 MeSH Terms
Scalp-sparing total skin electron therapy in mycosis fungoides: Case report featuring a technique without lead.
Patel CG, Ding G, Kirschner A
(2017) Pract Radiat Oncol 7: 400-402
MeSH Terms: Electrons, Humans, Male, Middle Aged, Mycosis Fungoides, Scalp, Skin Neoplasms, Treatment Outcome
Added April 2, 2019
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MeSH Terms
The major miR-31 target genes STK40 and LATS2 and their implications in the regulation of keratinocyte growth and hair differentiation.
Luan L, Shi J, Yu Z, Andl T
(2017) Exp Dermatol 26: 497-504
MeSH Terms: 3' Untranslated Regions, Adaptor Proteins, Signal Transducing, Animals, Apoptosis, Carcinoma, Basal Cell, Cell Differentiation, Cell Line, Tumor, Cell Proliferation, Cell Survival, Hair Follicle, Homeodomain Proteins, Humans, Intracellular Signaling Peptides and Proteins, Keratinocytes, Mice, Mice, Transgenic, MicroRNAs, Protein-Serine-Threonine Kinases, Skin, Skin Neoplasms, Transcription Factors, Tumor Suppressor Proteins
Show Abstract · Added June 21, 2017
Emerging evidence indicates that even subtle changes in the expression of key genes of signalling pathways can have profound effects. MicroRNAs (miRNAs) are masters of subtlety and generally have only mild effects on their target genes. The microRNA miR-31 is one of the major microRNAs in many cutaneous conditions associated with activated keratinocytes, such as the hyperproliferative diseases psoriasis, non-melanoma skin cancer and hair follicle growth. miR-31 is a marker of the hair growth phase, and in our miR-31 transgenic mouse model it impairs the function of keratinocytes. This leads to aberrant proliferation, apoptosis, and differentiation that results in altered hair growth, while the loss of miR-31 leads to increased hair growth. Through in vitro and in vivo studies, we have defined a set of conserved miR-31 target genes, including LATS2 and STK40, which serve as new players in the regulation of keratinocyte growth and hair follicle biology. LATS2 can regulate growth of keratinocytes and we have identified a function of STK40 that can promote the expression of key hair follicle programme regulators such as HR, DLX3 and HOXC13.
© 2017 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.
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22 MeSH Terms
Mass Spectrometry Imaging Can Distinguish on a Proteomic Level Between Proliferative Nodules Within a Benign Congenital Nevus and Malignant Melanoma.
Lazova R, Yang Z, El Habr C, Lim Y, Choate KA, Seeley EH, Caprioli RM, Yangqun L
(2017) Am J Dermatopathol 39: 689-695
MeSH Terms: Diagnosis, Differential, Female, Humans, Infant, Mass Spectrometry, Melanoma, Nevus, Pigmented, Skin Neoplasms
Show Abstract · Added April 17, 2017
Histopathological interpretation of proliferative nodules occurring in association with congenital melanocytic nevi can be very challenging due to their similarities with congenital malignant melanoma and malignant melanoma arising in association with congenital nevi. We hereby report a diagnostically challenging case of congenital melanocytic nevus with proliferative nodules and ulcerations, which was originally misdiagnosed as congenital malignant melanoma. Subsequent histopathological examination in consultation by one of the authors (R.L.) and mass spectrometry imaging analysis rendered a diagnosis of congenital melanocytic nevus with proliferative nodules. In this case, mass spectrometry imaging, a novel method capable of distinguishing benign from malignant melanocytic lesions on a proteomic level, was instrumental in making the diagnosis of a benign nevus. We emphasize the importance of this method as an ancillary tool in the diagnosis of difficult melanocytic lesions.
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8 MeSH Terms
Imaging mass spectrometry assists in the classification of diagnostically challenging atypical Spitzoid neoplasms.
Lazova R, Seeley EH, Kutzner H, Scolyer RA, Scott G, Cerroni L, Fried I, Kozovska ME, Rosenberg AS, Prieto VG, Shehata BM, Durham MM, Henry G, Rodriguez-Peralto JL, Riveiro-Falkenbach E, Schaefer JT, Danialan R, Fraitag S, Vollenweider-Roten S, Sepehr A, Sangueza M, Hijazi N, Corredoira Y, Kowal R, Harris OM, Bravo F, Boyd AS, Gueorguieva R, Caprioli RM
(2016) J Am Acad Dermatol 75: 1176-1186.e4
MeSH Terms: Adolescent, Adult, Age Factors, Aged, Aged, 80 and over, Child, Child, Preschool, Diagnosis, Differential, Female, Humans, Lymphatic Metastasis, Male, Mass Spectrometry, Melanoma, Middle Aged, Neoplasm Recurrence, Local, Nevus, Epithelioid and Spindle Cell, Proteins, Retrospective Studies, Risk Assessment, Sentinel Lymph Node Biopsy, Skin Neoplasms, Treatment Outcome, Tumor Burden, Young Adult
Show Abstract · Added April 17, 2017
BACKGROUND - Previously, using imaging mass spectrometry (IMS), we discovered proteomic differences between Spitz nevi and Spitzoid melanomas.
OBJECTIVE - We sought to determine whether IMS can assist in the classification of diagnostically challenging atypical Spitzoid neoplasms (ASN), to compare and correlate the IMS and histopathological diagnoses with clinical behavior.
METHODS - We conducted a retrospective collaborative study involving centers from 11 countries and 11 US institutions analyzing 102 ASNs by IMS. Patients were divided into clinical groups 1 to 4 representing best to worst clinical behavior. The association among IMS findings, histopathological diagnoses, and clinical groups was assessed.
RESULTS - There was a strong association between a diagnosis of Spitzoid melanoma by IMS and lesions categorized as clinical groups 2, 3, and 4 (recurrence of disease, metastases, or death) compared with clinical group 1 (no recurrence or metastasis beyond a sentinel node) (P < .0001). Older age and greater tumor thickness were strongly associated with poorer outcome (P = .01).
CONCLUSIONS - IMS diagnosis of ASN better predicted clinical outcome than histopathology. Diagnosis of Spitzoid melanoma by IMS was strongly associated with aggressive clinical behavior. IMS analysis using a proteomic signature may improve the diagnosis and prediction of outcome/risk stratification for patients with ASN.
Copyright © 2016 American Academy of Dermatology, Inc. Published by Elsevier Inc. All rights reserved.
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25 MeSH Terms
Connecting the Dots: Therapy-Induced Senescence and a Tumor-Suppressive Immune Microenvironment.
Vilgelm AE, Johnson CA, Prasad N, Yang J, Chen SC, Ayers GD, Pawlikowski JS, Raman D, Sosman JA, Kelley M, Ecsedy JA, Shyr Y, Levy SE, Richmond A
(2016) J Natl Cancer Inst 108: djv406
MeSH Terms: Animals, Aurora Kinase A, Cell Line, Tumor, Cellular Senescence, Chemokine CCL5, Cyclin-Dependent Kinase 4, Cyclin-Dependent Kinase 6, Enzyme-Linked Immunosorbent Assay, Female, Flow Cytometry, Gene Expression Regulation, Neoplastic, Heterografts, Humans, Immunocompetence, Immunocompromised Host, Immunotherapy, Lymphocyte Activation, Lymphocytes, Tumor-Infiltrating, Melanoma, Mice, Real-Time Polymerase Chain Reaction, Skin Neoplasms, Transcriptome, Tumor Microenvironment, Tumor Necrosis Factor Receptor Superfamily, Member 9
Show Abstract · Added January 18, 2016
BACKGROUND - Tumor cell senescence is a common outcome of anticancer therapy. Here we investigated how therapy-induced senescence (TIS) affects tumor-infiltrating leukocytes (TILs) and the efficacy of immunotherapy in melanoma.
METHODS - Tumor senescence was induced by AURKA or CDK4/6 inhibitors (AURKAi, CDK4/6i). Transcriptomes of six mouse tumors with differential response to AURKAi were analyzed by RNA sequencing, and TILs were characterized by flow cytometry. Chemokine RNA and protein expression were determined by quantitative real-time polymerase chain reaction and enzyme-linked immunosorbent assay. Therapeutic response was queried in immunodeficient mice, in mice with CCL5-deficient tumors, and in mice cotreated with CD137 agonist to activate TILs. CCL5 expression in reference to TIS and markers of TILs was studied in human melanoma tumors using patient-derived xenografts (n = 3 patients, n = 3 mice each), in AURKAi clinical trial samples (n = 3 patients, before/after therapy), and in The Cancer Genome Atlas (n = 278). All statistical tests were two-sided.
RESULTS - AURKAi response was associated with induction of the immune transcriptome (P = 3.5 x 10-29) while resistance inversely correlated with TIL numbers (Spearman r = -0.87, P < .001). AURKAi and CDK4/6i promoted the recruitment of TILs by inducing CCL5 secretion in melanoma cells (P ≤ .005) in an NF-κB-dependent manner. Therapeutic response to AURKAi was impaired in immunodeficient compared with immunocompetent mice (0% vs 67% tumors regressed, P = .01) and in mice bearing CCL5-deficient vs control tumors (P = .61 vs P = .02); however, AURKAi response was greatly enhanced in mice also receiving T-cell-activating immunotherapy (P < .001). In human tumors, CCL5 expression was also induced by AURKAi (P ≤ .02) and CDK4/6i (P = .01) and was associated with increased immune marker expression (P = 1.40 x 10-93).
CONCLUSIONS - Senescent melanoma cells secret CCL5, which promotes recruitment of TILs. Combining TIS with immunotherapy that enhances tumor cell killing by TILs is a promising novel approach to improve melanoma outcomes.
© The Author 2015. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.
2 Communities
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25 MeSH Terms
Genomic Classification of Cutaneous Melanoma.
Cancer Genome Atlas Network
(2015) Cell 161: 1681-96
MeSH Terms: Databases, Genetic, Humans, Melanoma, Mutation, National Cancer Institute (U.S.), Skin Neoplasms, United States
Show Abstract · Added August 8, 2016
We describe the landscape of genomic alterations in cutaneous melanomas through DNA, RNA, and protein-based analysis of 333 primary and/or metastatic melanomas from 331 patients. We establish a framework for genomic classification into one of four subtypes based on the pattern of the most prevalent significantly mutated genes: mutant BRAF, mutant RAS, mutant NF1, and Triple-WT (wild-type). Integrative analysis reveals enrichment of KIT mutations and focal amplifications and complex structural rearrangements as a feature of the Triple-WT subtype. We found no significant outcome correlation with genomic classification, but samples assigned a transcriptomic subclass enriched for immune gene expression associated with lymphocyte infiltrate on pathology review and high LCK protein expression, a T cell marker, were associated with improved patient survival. This clinicopathological and multi-dimensional analysis suggests that the prognosis of melanoma patients with regional metastases is influenced by tumor stroma immunobiology, offering insights to further personalize therapeutic decision-making.
Copyright © 2015 Elsevier Inc. All rights reserved.
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7 MeSH Terms
Whole-genome sequencing reveals oncogenic mutations in mycosis fungoides.
McGirt LY, Jia P, Baerenwald DA, Duszynski RJ, Dahlman KB, Zic JA, Zwerner JP, Hucks D, Dave U, Zhao Z, Eischen CM
(2015) Blood 126: 508-19
MeSH Terms: Adult, Aged, Exome, Female, Follow-Up Studies, Genome, Human, High-Throughput Nucleotide Sequencing, Humans, Male, Middle Aged, Mutation, Mycosis Fungoides, Oncogenes, Retrospective Studies, Sequence Analysis, DNA, Skin Neoplasms, Ultraviolet Rays
Show Abstract · Added February 22, 2016
The pathogenesis of mycosis fungoides (MF), the most common cutaneous T-cell lymphoma (CTCL), is unknown. Although genetic alterations have been identified, none are considered consistently causative in MF. To identify potential drivers of MF, we performed whole-genome sequencing of MF tumors and matched normal skin. Targeted ultra-deep sequencing of MF samples and exome sequencing of CTCL cell lines were also performed. Multiple mutations were identified that affected the same pathways, including epigenetic, cell-fate regulation, and cytokine signaling, in MF tumors and CTCL cell lines. Specifically, interleukin-2 signaling pathway mutations, including activating Janus kinase 3 (JAK3) mutations, were detected. Treatment with a JAK3 inhibitor significantly reduced CTCL cell survival. Additionally, the mutation data identified 2 other potential contributing factors to MF, ultraviolet light, and a polymorphism in the tumor suppressor p53 (TP53). Therefore, genetic alterations in specific pathways in MF were identified that may be viable, effective new targets for treatment.
© 2015 by The American Society of Hematology.
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17 MeSH Terms
Congenital nevi versus metastatic melanoma in a newborn to a mother with malignant melanoma - diagnosis supported by sex chromosome analysis and Imaging Mass Spectrometry.
Alomari AK, Glusac EJ, Choi J, Hui P, Seeley EH, Caprioli RM, Watsky KL, Urban J, Lazova R
(2015) J Cutan Pathol 42: 757-64
MeSH Terms: Adult, Female, Follow-Up Studies, Humans, Infant, Newborn, Male, Mass Spectrometry, Melanoma, Neoplasm Metastasis, Nevus, Pigmented, Placenta, Pregnancy, Pregnancy Complications, Neoplastic, Sentinel Lymph Node Biopsy, Sex Chromosomes, Skin Neoplasms
Show Abstract · Added October 15, 2015
A 37-year-old pregnant woman presented with a 2-cm irregular reddish nodule on her left upper arm during pregnancy. A biopsy from the lesion showed a 2.2-mm thick malignant melanoma with intravascular invasion, 25 mitosis/mm(2) and no ulceration. Following induction of labor, the patient underwent re-excision with sentinel lymph node biopsy. This showed no residual melanoma and no lymph node metastasis. The newborn boy had multiple pigmented lesions on the trunk, some of which were large and irregular. Two were biopsied and histologic examination showed dense dermal proliferation of medium sized melanocytes with multiple mitotic figures and no maturation with their descent into the dermis, raising suspicion of transplacental metastases. Examination of the placenta failed to show metastatic lesions. Multiplex polymerase chain reaction (PCR)-based genotyping, including testing for amelogenin locus for sex chromosome determination, demonstrated the presence of Y chromosome material in the melanocytes of the newborn's lesions excluding maternal origin. A diagnosis of congenital nevi was rendered. Subsequently, Imaging Mass Spectrometric analysis of the mother's lesion showed proteomic signature expression indicative of malignant melanoma, whereas the two lesions in the newborn showed changes indicative of nevi. This case demonstrates the utility of genotyping and Mass Spectrometry analysis in this challenging clinical scenario.
© 2015 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.
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16 MeSH Terms