Assessing the genetic risk of nodular melanoma using a candidate gene approach.

BACKGROUND: Nodular melanoma (NM) is a challenge to diagnose early due to its rapid growth and more atypical clinical presentation, making it the largest contributor to melanoma mortality. OBJECTIVES: Our study aim was to perform a rare-variant allele (RVA) analysis of whole-exome sequencing of patients with NM and non-NM (minor allele frequency ≤ 1% non-Finnish European) for a set of 500 candidate genes potentially implicated in melanoma. METHODS: This study recruited 131 participants with NM and 194 with non-NM from South-east Queensland and patients with NM from Victoria to perform a comparative analysis of possible genetic differences or similarities between the two melanoma cohorts. RESULTS: Phenotypic analysis revealed that a majority of patients diagnosed with NM were older males with a higher frequency of fair skin and red hair than is seen in the general population. The distribution of common melanoma polygenic risk scores was similar in patients with NM and non-NM, with over 28% in the highest quantile of scores. There was also a similar frequency of carriage of familial/high-penetrant melanoma gene and loss-of-function variants. We identified 39 genes by filtering 500 candidate genes based on the greatest frequency in NM compared with non-NM cases. The genes with RVAs of greatest frequency in NM included PTCH1, ARID2 and GHR. Rare variants in the SMO gene, which interacts with PTCH1 as ligand and receptor, were also identified, providing evidence that the Hedgehog pathway may contribute to NM risk. There was a cumulative effect in carrying multiple rare variants in the NM-associated genes. A 14.8-fold increased ratio for NM compared with non-NM was seen when two RVAs of the 39 genes were carried by a patient. CONCLUSIONS: This study highlights the importance of considering frequency of RVA to identify those at risk of NM in addition to known high penetrance genes.

Identification and Characterization of Canine Ligament Progenitor Cells and Their Extracellular Matrix Niche.

Ligaments are prone to injury and degeneration in humans and animals, however the healing potential of ligament is poor and current treatment options ineffective. Stem cell-based therapies hold potential for treatment of ligament injuries. This study aimed to characterize a ligament progenitor cell (LPC) population and to identify specific niche components which could promote the survival and function of LPCs. LPCs were isolated from canine cranial cruciate ligament and characterized for clonogenicity, multipotency and marker expression. The extracellular matrix (ECM) composition was characterized by the novel application of a metabolic labeling and mass spectrometry technique. LPCs demonstrated clonogenicity, multipotency, and stem cell marker expression. A number of different collagens, glycoproteins, and proteoglycans were identified in the LPC niche using proteomics. Metabolic labeling of cells demonstrated unique turnover profiles for distinct ECM protein groups, indicating the importance of certain niche components for LPC survival and function. The newly synthesized niche components identified in this study could be exploited to aid identification of LPCs and to promote their survival and function for potential ligament repair strategies.

Skin Pigmentation Genetics for the Clinic.

Human pigmentation characteristics play an important role in the effects of sun exposure, skin cancer induction and disease outcomes. Several of the genes most important for this diversity are involved in the regulation and distribution of melanin pigmentation or enzymes involved in melanogenesis itself within the melanocyte cell present in the skin, hair and eyes. The single nucleotide polymorphisms and extended haplotypes within or surrounding these genes have been identified as risk factors for skin cancer, in particular, melanoma. These same polymorphisms have been under selective pressure leading towards lighter pigmentation in Europeans in the last 5,000-20,000 years that have driven the increase in frequency in modern populations. Although pigmentation is a polygenic trait, due to interactive and quantitative gene effects, strong phenotypic associations are readily apparent for these major genes. However, predictive value and utility are increased when considering gene polymorphism interactions. In melanoma, an increased penetrance is found in cases when pigmentation gene risk alleles such as MC1R variants are coincident with mutation of higher-risk melanoma genes including CDKN2A, CDK4 and MITF E318K, demonstrating an interface between the pathways for pigmentation, naevogenesis and melanoma. The clinical phenotypes associated with germline changes in pigmentation and naevogenic genes must be understood by clinicians, and will be of increasing relevance to dermatologists, as genomics is incorporated into the delivery of personalised medicine.

Dermoscopy, reflectance confocal microscopy and histopathology of a melanoma in situ from an individual homozygous for GSTP1*105Val/MC1R*92Met.

Glutathione S-transferase 1 is an enzyme involved in the detoxification of reactive oxygen species, and the rs1695*Val polymorphism has been proposed as a melanoma-associated variant with significant effect. We report a case of malignant melanoma in an individual homozygous for the rs1695*Val variant and discuss the non-invasive and histopathological tools used in diagnosis.

The Skin Molecular Ecosystem Holds the Key to Nevogenesis and Melanomagenesis.

Early detection of melanoma is critical to good patient outcomes, but we still know little about the mechanisms of early melanoma development. Normal epidermis has many of the sequence variants and genetic architecture disruptions found in both benign nevi, melanomas, and other skin cancers, yet continues to behave more or less normally. One hypothesis is that many melanocytes in this context are "tumor competent" but are regulated by the microenvironment provided by the surrounding keratinocytes to inhibit progress to nevi or melanoma. There is evidence of accumulating disorder in several measures of the genomic and epigenomic landscape from normal skin through nevi to melanoma that may be key to promoting nevogenesis and melanomagenesis.

A differential impact of mycophenolic acid, prednisolone, and tacrolimus exposure on sCD30 levels in adult kidney transplant recipients.

BACKGROUND: Soluble CD30 (sCD30) has been associated with rejection and graft loss in kidney transplantation, leading to the suggestion that sCD30 might be a useful biomarker to adjust immunosuppressant medication dosing. However, there has been minimal study of the influence of individual immunosuppressive drugs on sCD30 levels. AIM: To evaluate the influence of mycophenolic acid (MPA), prednisolone, and tacrolimus exposure on sCD30 levels in adult kidney transplant recipients. METHODS: The sCD30 levels were measured pretransplant and 30 days posttransplant. Area under the concentration-time curve (AUC) for each drug was estimated on day 30 using validated, multiple regression-derived limited sampling strategies. RESULTS: One hundred twenty-five subjects were included. Median (interquartile range) sCD30 levels were lower on day 30 posttransplant compared with pretransplant [10.7 (3.7-20.1) pg/mL versus 66.5 (46.0-95.1) pg/mL; P < 0.0001]. On univariate analyses, day 30 sCD30 levels were negatively correlated with MPA exposure and positively correlated with tacrolimus exposure. Using multivariate logistic regression, higher tacrolimus exposure was independently associated with higher day 30 sCD30 levels (2.2 change in odds for an SD increase in tacrolimus AUC 0-12, P = 0.01; 5.5 change in odds for an SD increase in tacrolimus predose concentration, P < 0.0001). In contrast, MPA and total and free prednisolone exposures were not independently associated with sCD30 levels. CONCLUSIONS: The sCD30 levels are significantly reduced in the presence of combination immunosuppression but are differentially affected by different immunosuppressant agents. More research is required before introduction of sCD30 measurement into clinical practice can be considered.

Kidney transplant outcomes are related to tacrolimus, mycophenolic acid and prednisolone exposure in the first week.

This study analysed associations between tacrolimus, mycophenolic acid (MPA) and prednisolone exposures on day 4 and month 1 post kidney transplant and clinical outcomes. Area under the concentration-time curve (AUC) for each drug was estimated using validated multiple regression-derived limited sampling strategies. Multivariate logistic regression was used to associate drug exposure with clinical outcomes. One hundred and twenty subjects were studied. Between-subject variability in dose-adjusted exposure to each medication was high. Both day 4 tacrolimus and MPA exposures were independently predictive of delayed graft function (2.6 change in odds for a standard deviation (SD) increase in tacrolimus AUC(0-12) , P = 0.02; 0.23 change in odds for a SD increase in MPA AUC(0-12) , P = 0.02). Both day 4 MPA and total prednisolone exposures were independently predictive of rejection (0.20 change in odds for a SD increase in MPA AUC(0-12) , P = 0.04; 0.40 change in odds for a SD increase in total prednisolone AUC(0-6) , P = 0.03). Lowest tertile exposure to all three immunosuppressant medications imposed significantly higher odds of rejection [adjusted odds ratio 34.2 (95% CI 4.1, 284.4), P = 0.001]. This study highlights the importance of achieving early target exposure and suggests a potential role for individualized initial dosing or early therapeutic monitoring of all three immunosuppressive agents.

A limited sampling strategy for the simultaneous estimation of tacrolimus, mycophenolic acid and unbound prednisolone exposure in adult kidney transplant recipients.

AIM: The aim of this study was to develop a limited sampling strategy (LSS) for the simultaneous estimation of exposure to tacrolimus, mycophenolic acid and unbound prednisolone in adult kidney transplant recipients. METHODS: Tacrolimus, mycophenolic acid and unbound prednisolone area under the concentration-time curve profiles from 0 to 12 h post dose (AUC(0-12)) were collected from 20 subjects. Multiple linear regression analyses were performed to develop a LSS enabling the simultaneous estimation of exposure to all three drugs. Median percentage prediction error and median absolute percentage prediction error were calculated via jackknife analysis to evaluate bias and imprecision. RESULTS: LSS showed superior ability to predict exposure compared with single concentration-time points. A LSS incorporating concentration measurements at 0.5 h (C(0.5)), 2 h (C(2)) and 4 h (C(4)) post dose displayed acceptable predictive ability for all three drugs. CONCLUSION: This LSS may serve as a useful research tool for further investigation of the utility of concentration monitoring of these medications.

Current Trends in Circulating Biomarkers for Melanoma Detection.

Melanomas have increased in global incidence and are the leading cause of skin cancer deaths. Whilst the majority of early-stage, non-metastatic melanomas can be cured with surgical excision alone, ~5% of patients with early melanomas will experience recurrence following a variable disease-free interval and progression to metastatic melanoma and ultimately death. This is likely because of primary tumor heterogeneity and progressive clonal divergency resulting in the growth of more aggressive tumor populations. Liquid biomarkers have the advantage of real-time, non-invasive longitudinal monitoring of tumor burden and heterogeneity over tissue markers. Currently, the only serological marker used in the staging and monitoring of melanoma is serum lactate dehydrogenase, which is not sufficiently specific or sensitive, and is not used routinely in all centers. An ideal melanoma biomarker would be used to identify patients who are at high-risk of primary melanoma, screen for relapse, detect early-stage melanoma, provide treatment outcomes to personalize systemic treatment, follow tumor heterogeneity, provide prognostic data before, during and after treatment, and monitor response to treatment. This review provides a summary of the current research in this field with a specific focus on circulating tumor cells, circulating tumor DNA, microRNA, and extracellular vesicles which may serve to suit these goals.

Collagen (I) homotrimer potentiates the osteogenesis imperfecta (oim) mutant allele and reduces survival in male mice.

The osteogenesis imperfecta murine (oim) model with solely homotrimeric (α1)3 type I collagen, owing to a dysfunctional α2(I) collagen chain, has a brittle bone phenotype, implying that the (α1)2(α2)1 heterotrimer is required for physiological bone function. Here, we comprehensively show, for the first time, that mice lacking the α2(I) chain do not have impaired bone biomechanical or structural properties, unlike oim homozygous mice. However, Mendelian inheritance was affected in male mice of both lines, and male mice null for the α2(I) chain exhibited age-related loss of condition. Compound heterozygotes were generated to test whether gene dosage was responsible for the less-severe phenotype of oim heterozygotes, after allelic discrimination showed that the oim mutant allele was not downregulated in heterozygotes. Compound heterozygotes had impaired bone structural properties compared to those of oim heterozygotes, albeit to a lesser extent than those of oim homozygotes. Hence, the presence of heterotrimeric type I collagen in oim heterozygotes alleviates the effect of the oim mutant allele, but a genetic interaction between homotrimeric type I collagen and the oim mutant allele leads to bone fragility.

Evaluation of limited sampling methods for estimation of tacrolimus exposure in adult kidney transplant recipients.

AIMS: To examine the predictive performance of limited sampling methods for estimation of tacrolimus exposure in adult kidney transplant recipients. METHODS: Twenty full tacrolimus area under the concentration-time curve from 0 to 12 h post-dose (AUC(0-12)) profiles (AUCf) were collected from 20 subjects. Predicted tacrolimus AUC(0-12) (AUCp) was calculated using the following: (i) 42 multiple regression-derived limited sampling strategies (LSSs); (ii) five population pharmacokinetic (PK) models in the Bayesian forecasting program TCIWorks; and (iii) a Web-based consultancy service. Correlations (r(2)) between C(0) and AUCf and between AUCp and AUCf were examined. Median percentage prediction error (MPPE) and median absolute percentage prediction error (MAPE) were calculated. RESULTS: Correlation between C(0) and AUCf was 0.53. Using the 42 LSS equations, correlation between AUCp and AUCf ranged from 0.54 to 0.99. The MPPE and MAPE were <15% for 29 of 42 equations (62%), including five of eight equations based on sampling taken ≤2 h post-dose. Using the PK models in TCIWorks, AUCp derived from only C(0) values showed poor correlation with AUCf (r(2)=0.27-0.54) and unacceptable imprecision (MAPE 17.5-31.6%). In most cases, correlation, bias and imprecision estimates progressively improved with inclusion of a greater number of concentration time points. When concentration measurements at 0, 1, 2 and 4 h post-dose were applied, correlation between AUCp and AUCf ranged from 0.75 to 0.93, and MPPE and MAPE were <15% for all models examined. Using the Web-based consultancy service, correlation between AUCp and AUCf was 0.74, and MPPE and MAPE were 6.6 and 9.6%, respectively. CONCLUSIONS: Limited sampling methods better predict tacrolimus exposure compared with C(0) measurement. Several LSSs based on sampling taken 2 h or less post-dose predicted exposure with acceptable bias and imprecision. Generally, Bayesian forecasting methods required inclusion of a concentration measurement from >2 h post-dose to adequately predict exposure.

On Naevi and Melanomas: Two Sides of the Same Coin?

Benign naevi are closely linked to melanoma, as risk factors, simulators, or sites of melanoma formation. There is a heavy genetic overlap between the two lesions, a shared environmental influence of ultraviolet radiation, and many similar cellular features, yet naevi remain locally situated while melanomas spread from their primary site and may progress systemically to distal organs. Untangling the overlapping contributors and predictors of naevi and melanoma is an ongoing area of research and should eventually lead to more personalized prevention and treatment strategies, through the development of melanoma risk stratification tools and early detection of evolving melanomas. This will be achieved through a range of complementary strategies: risk-adjusted primary prevention counseling; the use of lesion imaging technologies such as sequential 3D total body photography and consumer-performed lesion imaging; artificial intelligence deep phenotyping and clinical assistance; a better understanding of genetic drivers of malignancy, risk variants, clinical genetics, and polygenic effects; and the interplay between genetics, phenotype and the environment.

The Future of Precision Prevention for Advanced Melanoma.

Precision prevention of advanced melanoma is fast becoming a realistic prospect, with personalized, holistic risk stratification allowing patients to be directed to an appropriate level of surveillance, ranging from skin self-examinations to regular total body photography with sequential digital dermoscopic imaging. This approach aims to address both underdiagnosis (a missed or delayed melanoma diagnosis) and overdiagnosis (the diagnosis and treatment of indolent lesions that would not have caused a problem). Holistic risk stratification considers several types of melanoma risk factors: clinical phenotype, comprehensive imaging-based phenotype, familial and polygenic risks. Artificial intelligence computer-aided diagnostics combines these risk factors to produce a personalized risk score, and can also assist in assessing the digital and molecular markers of individual lesions. However, to ensure uptake and efficient use of AI systems, researchers will need to carefully consider how best to incorporate privacy and standardization requirements, and above all address consumer trust concerns.

Evaluation of limited sampling strategies for mycophenolic acid after mycophenolate mofetil intake in adult kidney transplant recipients.

Multiple limited sampling strategies (LSSs) have been proposed for estimation of mycophenolic acid (MPA) area under the concentration-time curve from 0 to 12 hours postdose (AUC 0-12) after mycophenolate mofetil intake. The aim of this study was to provide summary information on all published LSSs for MPA and to evaluate their predictive performance in an independent population of kidney transplant recipients. Seventy-eight LSSs for MPA were identified. Sixty-nine full AUC profiles were collected from 45 subjects (25 cotreated with cyclosporine and 20 with tacrolimus). Predicted MPA AUC 0-12, calculated by applying the relevant concentration measurements within the LSS equations, was compared with full AUC calculated by using all concentration measurements in the linear trapezoidal rule. Four error indices (median prediction error, median percentage prediction error [MPPE], root median squared prediction error, and median absolute percentage prediction error [MAPE]) were used to evaluate bias and imprecision. Twelve of the 25 LSSs for cyclosporine-cotreated recipients and one of the 53 LSSs for tacrolimus-cotreated recipients displayed acceptable (less than 15%) bias and imprecision. In the cyclosporine group, two equations demonstrated the highest predictive power, one that used four time points in the first 6 hours postdose (r2 = 0.84, MPPE 1.6%, MAPE 7.8%) and one that used four time points in the first 4 hours postdose (r2 = 0.76, MPPE -0.8%, MAPE 10.2%). In the tacrolimus group, an equation that used two time points in the first 4 hours postdose was superior (r2 = 0.80, MPPE -3.0%, MAPE 13.6%). Application of the LSSs most appropriate for cyclosporine-cotreated patients to the tacrolimus-cotreated group resulted in clinically unacceptable bias and imprecision and vice versa. High variability in performance of LSSs highlights the importance of validating any LSS before applying it to an alternative population. Attention to comedication use is of particular relevance when choosing a LSS.

Germline and somatic albinism variants in amelanotic/hypomelanotic melanoma: Increased carriage of TYR and OCA2 variants.

Amelanotic/hypomelanotic melanoma is a clinicopathologic subtype with absent or minimal melanin. This study assessed previously reported coding variants in albinism genes (TYR, OCA2, TYRP1, SLC45A2, SLC24A5, LRMDA) and common intronic, regulatory variants of OCA2 in individuals with amelanotic/hypomelanotic melanoma, pigmented melanoma cases and controls. Exome sequencing was available for 28 individuals with amelanotic/hypomelanotic melanoma and 303 individuals with pigmented melanoma, which were compared to whole exome data from 1144 Australian controls. Microarray genotyping was available for a further 17 amelanotic/hypomelanotic melanoma, 86 pigmented melanoma, 147 melanoma cases (pigmentation unknown) and 652 unaffected controls. Rare deleterious variants in TYR/OCA1 were more common in amelanotic/hypomelanotic melanoma cases than pigmented melanoma cases (set mixed model association tests P = 0.0088). The OCA2 hypomorphic allele p.V443I was more common in melanoma cases (1.8%) than controls (1.0%, X2 P = 0.02), and more so in amelanotic/hypomelanotic melanoma (4.4%, X2 P = 0.007). No amelanotic/hypomelanotic melanoma cases carried an eye and skin darkening haplotype of OCA2 (including rs7174027), present in 7.1% of pigmented melanoma cases (P = 0.0005) and 9.4% controls. Variants in TYR and OCA2 may play a role in amelanotic/hypomelanotic melanoma susceptibility. We suggest that somatic loss of function at these loci could contribute to the loss of tumor pigmentation, consistent with this we found a higher rate of somatic mutation in TYR/OCA2 in amelanotic/hypomelanotic melanoma vs pigmented melanoma samples (28.6% vs 3.0%; P = 0.021) from The Cancer Genome Atlas Skin Cutaneous Melanoma collection.

Cutaneous keratinocyte cancers of the head and neck: Epidemiology, risk factors and clinical, dermoscopic and reflectance confocal microscopic features.

Keratinocyte cancers are the most common malignancy among people with European ancestry, and are very common on sun-exposed areas of the head and neck. Incidence is directly correlated with latitude and annual ultraviolet radiation incidence, although there are a number of other environmental, occupational and genetic risk factors, and keratinocyte cancers become more common at middle age. Basal cell carcinomas (BCC) are the most common, comprising 80% of keratinocyte cancers, but have a very low rate of metastases and low mortality. Squamous cell carcinomas (SCC) make up 20% of keratinocyte cancers, and have relatively infrequent metastases, at 5-16%. While there are no precursor lesions for BCC, SCC represents the final stage in a spectrum of cellular atypia and dysplasia, from actinic keratoses to in situ SCC to invasive SCC. Dermoscopy is a well-established diagnostic tool for keratinocyte cancers, and reflectance confocal microscopy is emerging as another useful diagnostic tool, particularly on functionally and cosmetically sensitive sites like the face.

Recent trends in teledermatology and teledermoscopy.

Teledermatology is a useful alternative where specialized dermatological assistance is not available and has been used successfully to support health professionals in a wide range of settings worldwide, in either an asynchronous store-and-forward format or a real-time video conferencing format. Teledermoscopy, which includes dermoscopic images in the teleconsultation, is another addition that improves remote assessments of pigmented lesions. A more recent variant is mobile teledermoscopy, which uses a smartphone to deliver the same type of service. Teledermoscopy's greatest strength may be as a triage and monitoring tool, as it can reduce the number of unnecessary referrals, wait times, and the cost of providing and receiving dermatological care. While face-to-face (FTF) care remains the gold standard for diagnosis, drawbacks of not using FTF care as the primary method can be mitigated if teleconsultants are willing to refer to FTF care whenever there is uncertainty. Teledermatology has generally been well accepted by patients and practitioners alike. Barriers to the large-scale use of teledermatology remain. Assigning medicolegal responsibility and instituting a reimbursement system are critical to promoting widespread use by medical professionals, while privacy and security features and a mechanism to link teleconsultations to patients' existing health records are essential to maximize patient benefit. Direct-to-consumer services also need attention from regulators to ensure that consumers can enjoy the benefits of telemedicine without the dangers of unregulated or untested platforms.