Adherence to melanoma screening and surveillance skin check schedules tailored to personal risk.

Population-wide skin cancer screening is not currently recommended in most countries. Instead, most clinical guidelines incorporate risk-based recommendations for skin checks, despite limited evidence around implementation and adherence to recommendations in practice. We aimed to determine adherence to personal risk-tailored melanoma skin check schedules and explore reasons influencing adherence. Patients (with/without a previous melanoma) attending tertiary dermatology clinics at the Melanoma Institute Australia, Sydney, Australia, were invited to complete a melanoma risk assessment questionnaire via iPad and provided with personal risk information alongside a risk-tailored skin check schedule. Data were collected from the risk tool, clinician-recorded data on schedule deviations, and appointment booking system. Post-consultation, we conducted semi-structured interviews with patients and clinic staff. We used a convergent segregated mixed methods approach for analysis. Interviews were audio recorded, transcribed and data were analysed thematically. Participant data were analysed from clinic records (n = 247) and interviews (n = 29 patients, 11 staff). Overall, there was 62% adherence to risk-tailored skin check schedules. In cases of non-adherence, skin checks tended to occur more frequently than recommended. Decisions to deviate were similarly influenced by patients (44%) and clinicians (56%). Themes driving non-adherence among patients included anxiety and wanting autonomy around decision-making, and among clinicians included concerns around specific lesions and risk estimate accuracy. There was moderate adherence to a clinical service program of personal risk-tailored skin check recommendations. Further adherence may be gained by incorporating strategies to identify and assist patients with high levels of anxiety and supporting clinicians to communicate risk-based recommendations with patients.

Impact of an Online Risk Calculator for Sentinel Node Positivity on Management of Patients with T1 and T2 Melanomas.

BACKGROUND: Predicting which patients with American Joint Committee on Cancer (AJCC) T1-T2 melanomas will have a positive sentinel lymph node (SLN) is challenging. Melanoma Institute Australia (MIA) developed an internationally validated SLN metastatic risk calculator. This study evaluated the nomogram's impact on T1-T2 melanoma patient management at MIA. METHODS: SLN biopsy (SLNB) rates were compared for the pre- and post-nomogram periods of 1 July 2018-30 June 2019 and 1 August 2020-31 July 2021, respectively. RESULTS: Overall, 850 patients were identified (pre-nomogram, 383; post-nomogram, 467). SLNB was performed in 29.0% of patients in the pre-nomogram group and 34.5% in the post-nomogram group (p = 0.091). The overall positivity rate was 16.2% in the pre-nomogram group and 14.9% in the post-nomogram group (p = 0.223). SLNB was performed less frequently in T1a melanoma patients in the pre-nomogram group (1.1%, n = 2/177) than in the post-nomogram group (8.6%, n = 17/198) [p ≤ 0.001]. This increase was particularly for melanomas with a risk score ≥ 5%, with an SLN positivity rate of 11.8% in the post-nomogram group (p = 0.004) compared with zero. For T1b melanomas with a risk score of > 10%, the SLNB rate was 40.0% (8/20) pre-nomogram and 75.0% (12/16) post-nomogram (p = 0.049). CONCLUSIONS: In this specialized center, the SLN risk calculator appears to influence practice for melanomas previously considered low risk for metastasis, with increased use of SLNB for T1a and higher-risk T1b melanomas. Further evaluation is required across broader practice settings. Melanoma management guidelines could be updated to incorporate the availability of nomograms to better select patients for SLNB than previous criteria.

Risk factors for subsequent primary melanoma in patients with previous melanoma: a systematic review and meta-analysis.

BACKGROUND: Compared with the general population, people with a previous melanoma are at increased risk of developing another primary melanoma. Understanding the risk factors associated with multiple primary melanomas can inform patient education and tailored surveillance. OBJECTIVES: To examine the risk factors for subsequent primary melanoma in people with a previous melanoma, by conducting a systematic review and meta-analysis of the available data. METHODS: A systematic literature search was conducted in CINAHL, Cochrane Central Register of Controlled Trials (CENTRAL), Embase and MEDLINE. Studies that reported a risk estimate or raw frequencies and conducted between 1982 and August 2022 were included. Adjusted risk estimates were prioritized over univariable risk estimates. PRISMA reporting guidelines were followed. Random effects meta-analysis was conducted to derive pooled estimates. Quality assessment was conducted by two researchers using the Newcastle-Ottawa scale. GRADE was used to rate the certainty and quality of the evidence. RESULTS: Data from 27 studies involving 413 181 participants were pooled and analysed. Risk factors assessed included age and sex, environmental, lifestyle, phenotypic, genetic and histopathological factors, and there was wide variation in how they were categorized and analysed. Independent risk factors identified from pooled analyses included male sex [hazard ratio (HR) 1.46, 95% confidence interval (CI) 1.40-1.53], increasing age per 10 years (HR 1.19, 95% CI 1.14-1.24), light skin colour (HR 1.44, 95% CI 1.23-1.70), family history [odds ratio (OR) 1.79, 95% CI 1.25-2.56], CDKN2A mutation (OR 5.29, 95% CI 2.70-10.37), a high or moderate naevus count [OR 2.63 (95% CI 1.61-4.30) and OR 1.64 (95% CI 1.07-2.51), respectively], one or more atypical naevi (OR 3.01, 95% CI 1.52-5.97), first lesions occurring on the head or neck, lentigo maligna subtype (HR 1.16, 95% CI 1.15-1.17), other subtype (HR 1.14, 95% CI 1.03-1.27) and inadequate sun protection (HR 1.85, 95% CI 0.98-3.50). Based on the GRADE criteria, there was high to very low confidence in the pooled effect estimates. CONCLUSIONS: This meta-analysis identified several consistent, independent risk factors for the development of subsequent primary melanoma. These findings will help stratify the risk of subsequent melanoma, tailor skin-check schedules and inform patient education.

Regular whole blood donation and gastrointestinal, breast, colorectal and haematological cancer risk among blood donors in Australia.

BACKGROUND AND OBJECTIVES: Several studies have suggested that blood donors have lower risk of gastrointestinal and breast cancers, whereas some have indicated an increased risk of haematological cancers. We examined these associations by appropriately adjusting the 'healthy donor effect' (HDE). MATERIALS AND METHODS: We examined the risk of gastrointestinal/colorectal, breast and haematological cancers in regular high-frequency whole blood (WB) donors using the Sax Institute's 45 and Up Study data linked with blood donation and other health-related data. We calculated 5-year cancer risks, risk differences and risk ratios. To mitigate HDE, we used 5-year qualification period to select the exposure groups, and applied statistical adjustments using inverse probability weighting, along with other advanced doubly robust g-methods. RESULTS: We identified 2867 (42.4%) as regular high-frequency and 3888 (57.6%) as low-frequency donors. The inverse probability weighted 5-year risk difference between high and low-frequency donors for gastrointestinal/colorectal cancer was 0.2% (95% CI, -0.1% to 0.5%) with a risk ratio of 1.25 (0.83-1.68). For breast cancer, the risk difference was -0.2% (-0.9% to 0.4%), with a risk ratio of 0.87 (0.48-1.26). Regarding haematological cancers, the risk difference was 0.0% (-0.3% to 0.5%) with a risk ratio of 0.97 (0.55-1.40). Our doubly robust estimators targeted minimum loss-based estimator (TMLE) and sequentially doubly robust (SDR) estimator, yielded similar results, but none of the findings were statistically significant. CONCLUSION: After applying methods to mitigate the HDE, we did not find any statistically significant differences in the risk of gastrointestinal/colorectal, breast and haematological cancers between regular high-frequency and low-frequency WB donors.

Implementation considerations for risk-tailored cancer screening in the population: A scoping review.

BACKGROUND: Risk-tailored screening has emerged as a promising approach to optimise the balance of benefits and harms of existing population cancer screening programs. It tailors screening (e.g., eligibility, frequency, interval, test type) to individual risk rather than the current one-size-fits-all approach of most organised population screening programs. However, the implementation of risk-tailored cancer screening in the population is challenging as it requires a change of practice at multiple levels i.e., individual, provider, health system levels. This scoping review aims to synthesise current implementation considerations for risk-tailored cancer screening in the population, identifying barriers, facilitators, and associated implementation outcomes. METHODS: Relevant studies were identified via database searches up to February 2023. Results were synthesised using Tierney et al. (2020) guidance for evidence synthesis of implementation outcomes and a multilevel framework. RESULTS: Of 4138 titles identified, 74 studies met the inclusion criteria. Most studies in this review focused on the implementation outcomes of acceptability, feasibility, and appropriateness, reflecting the pre-implementation stage of most research to date. Only six studies included an implementation framework. The review identified consistent evidence that risk-tailored screening is largely acceptable across population groups, however reluctance to accept a reduction in screening frequency for low-risk informed by cultural norms, presents a major barrier. Limited studies were identified for cancer types other than breast cancer. CONCLUSIONS: Implementation strategies will need to address alternate models of delivery, education of health professionals, communication with the public, screening options for people at low risk of cancer, and inequity in outcomes across cancer types.

Remote cutaneous confocal microscopy: A multicentric prospective study evaluating diagnostic accuracy for melanoma and keratinocyte carcinoma in tertiary settings.

BACKGROUND: Cutaneous confocal microscopy (CCCM) facilitates in vivo visualisation of skin at a cellular level. Use of a "store and forward" approach for remote CCM interpretation (Remote-CCM) across multiple sites has not been tested and may increase access to non-invasive diagnosis. OBJECTIVE: To test the diagnostic accuracy and safety of Remote-CCM. METHODS: We prospectively recruited lesions selected for biopsy for skin malignancy across five Australian tertiary dermatology centres. CCM, clinical and dermoscopy images were acquired pre-biopsy and accessed by a cloud-based platform for interpretation by CCM readers. CCM diagnosis was compared to histopathology results. RESULTS: Amongst the 201 lesions included, melanoma was the most common malignancy (34/72, 47.2%). Of the 89 lesions (44.8%) potentially 'saved' from biopsy, 80 (90%) were truly benign lesions and 9 (10.1%) were missed malignant lesions of MIS (n=7) and SCC (n=2). No invasive melanomas were missed. Sensitivity of remote-CCM for detection of malignancy was 89% (95%CI 79-95%) and specificity was 64% (95%CI 55-73%). LIMITATIONS: The study recruited from high-risk populations and excluded lesions that were not biopsied. CONCLUSION: Remote-CCM has comparable accuracy to bedside-CCM and safely reduces unnecessary biopsies. Potential SCCs are not appropriate for remote-CCM. Follow-up of borderline melanocytic lesions is recommended.

Patient demographic characteristics and risk factors associated with sun protection behaviours in specialist melanoma clinics.

OBJECTIVE: We investigated the association between sun protection behaviours and demographic and melanoma risk characteristics of patients attending Australian melanoma specialist clinics. This may assist in targeting and tailoring melanoma prevention patient education for people at high-risk and specific population subgroups. METHODS: A cross-sectional analysis of questionnaire data collected from participants attending the dermatology clinics at two major melanoma centres in Sydney, Australia between February 2021 and September 2023. The primary outcome was Sun Protection Habits (SPH) index (a summary score measured as habitual past month use of sunscreen, hats, sunglasses, a shirt with sleeves that covers the shoulders, limiting midday sun exposure and seeking shade, using a Likert scale). The primary analysis considered the SPH index and its component items scored as continuous. RESULTS: Data from 883 people were analysed. Factors associated with less frequent sun protection behaviours overall included male gender, no personal history of melanoma, lower perceived risk, lower calculated 10-year risk of developing melanoma, and no private health insurance. People aged >61 years reported lower use of sunscreen but higher use of hats and sleeved-shirts compared with people in the younger age group. There was no difference in overall sun protection behaviours according to family history of melanoma, country of birth or by lifetime melanoma risk among people without a personal history of melanoma. CONCLUSIONS: These findings highlight the potential for targeting high-risk individuals with less frequent use of sun protection for patient education, public health messaging and ultimately improving sun protection behaviours.

Germline variants are associated with increased primary melanoma tumor thickness at diagnosis.

Germline genetic variants have been identified, which predispose individuals and families to develop melanoma. Tumor thickness is the strongest predictor of outcome for clinically localized primary melanoma patients. We sought to determine whether there is a heritable genetic contribution to variation in tumor thickness. If confirmed, this will justify the search for specific genetic variants influencing tumor thickness. To address this, we estimated the proportion of variation in tumor thickness attributable to genome-wide genetic variation (variant-based heritability) using unrelated patients with measured primary cutaneous melanoma thickness. As a secondary analysis, we conducted a genome-wide association study (GWAS) of tumor thickness. The analyses utilized 10 604 individuals with primary cutaneous melanoma drawn from nine GWAS datasets from eight cohorts recruited from the general population, primary care and melanoma treatment centers. Following quality control and filtering to unrelated individuals with study phenotypes, 8125 patients were used in the primary analysis to test whether tumor thickness is heritable. An expanded set of 8505 individuals (47.6% female) were analyzed for the secondary GWAS meta-analysis. Analyses were adjusted for participant age, sex, cohort and ancestry. We found that 26.6% (SE 11.9%, P = 0.0128) of variation in tumor thickness is attributable to genome-wide genetic variation. While requiring replication, a chromosome 11 locus was associated (P < 5 × 10-8) with tumor thickness. Our work indicates that sufficiently large datasets will enable the discovery of genetic variants associated with greater tumor thickness, and this will lead to the identification of host biological processes influencing melanoma growth and invasion.

Long-term cost-effectiveness of a melanoma prevention program using genomic risk information compared with standard prevention advice in Australia.

PURPOSE: Evidence indicates that a melanoma prevention program using personalized genomic risk provision and genetic counseling can affect prevention behaviors, including reducing sunburns in adults with no melanoma history. This analysis evaluated its longer-term cost-effectiveness from an Australian health system perspective. METHODS: The primary outcome was incremental cost effectiveness ratio (ICER) of genomic risk provision (intervention) compared with standard prevention advice. A decision-analytic Markov model was developed using randomized trial data to simulate lifetime cost-effectiveness. All costs were presented in 2018/19 Australian dollars (AUD). The intervention effect on reduced sunburns was stratified by sex and traditional risk, which was calculated through a validated prediction model. Deterministic and probabilistic sensitivity analyses were undertaken for robustness checks. RESULTS: The per participant cost of intervention was AUD$189. Genomic risk provision targeting high-traditional risk individuals produced an ICER of AUD$35,254 (per quality-adjusted life year gained); sensitivity analyses indicated the intervention would be cost-effective in more than 50% of scenarios. When the intervention was extended to low-traditional risk groups, the ICER was AUD$43,746 with a 45% probability of being cost-effective. CONCLUSION: Genomic risk provision targeted to high-traditional melanoma risk individuals is likely a cost-effective strategy for reducing sunburns and will likely prevent future melanomas and keratinocyte carcinomas.

Regular high-frequency whole blood donation and risk of cardiovascular disease in middle-aged and older blood donors in Australia.

BACKGROUND: Previous mixed findings on the associations between whole blood (WB) donation and risk of cardiovascular diseases (CVD) may in part reflect inadequate adjustment for the "healthy donor effect" (HDE). METHODS: We used the Sax Institute's 45 and Up Study linked with blood donation history and other health-related databases to examine the association between regular, high-frequency WB donation and the risk of CVD. To mitigate the impact of HDE, we used a "5-years qualification period," in which donors must donate at least 1 WB donation in the 1st and 5th year of "qualification period." We then compared the risk of CVD in the years following the "qualification period" between the regular high-frequency WB donors (≥2 WB donation in each qualification year) and others using Cox proportional-hazards models. Analyses were adjusted for potential confounders, such as sociodemographic, lifestyle, and health-related variables, and results are reported separately for male and female donors. RESULTS: A total of 2736 male and 2917 female donors were included in the analyses. The median years of follow-up per donor was 5.84 years (Q1-Q3, 5.47-6.23). The rate of CVD hospitalization was 11.20 and 4.50 per 1000 person-years for males and females, respectively. In fully adjusted models, the risk (hazard ratio) of CVD in regular high-frequency donors compared to other donors was 0.93 (95% Confidence Interval (CI), 0.68-1.29) for males and 0.79 (95% CI, 0.49-1.28) for females. CONCLUSIONS: We did not observe a statistically significant reduction of CVD risk in regular, high-frequency WB donors when adjusted for potential confounders.

The MC1R r allele does not increase melanoma risk in MITF E318K carriers.

BACKGROUND: Population-wide screening for melanoma is not cost-effective, but genetic characterization could facilitate risk stratification and targeted screening. Common Melanocortin-1 receptor (MC1R) red hair colour (RHC) variants and Microphthalmia-associated transcription factor (MITF) E318K separately confer moderate melanoma susceptibility, but their interactive effects are relatively unexplored. OBJECTIVES: To evaluate whether MC1R genotypes differentially affect melanoma risk in MITF E318K+ vs. E318K- individuals. MATERIALS AND METHODS: Melanoma status (affected or unaffected) and genotype data (MC1R and MITF E318K) were collated from research cohorts (five Australian and two European). In addition, RHC genotypes from E318K+ individuals with and without melanoma were extracted from databases (The Cancer Genome Atlas and Medical Genome Research Bank, respectively). χ2 and logistic regression were used to evaluate RHC allele and genotype frequencies within E318K+/- cohorts depending on melanoma status. Replication analysis was conducted on 200 000 general-population exomes (UK Biobank). RESULTS: The cohort comprised 1165 MITF E318K- and 322 E318K+ individuals. In E318K- cases MC1R R and r alleles increased melanoma risk relative to wild type (wt), P < 0.001 for both. Similarly, each MC1R RHC genotype (R/R, R/r, R/wt, r/r and r/wt) increased melanoma risk relative to wt/wt (P < 0.001 for all). In E318K+ cases, R alleles increased melanoma risk relative to the wt allele [odds ratio (OR) 2.04 (95% confidence interval 1.67-2.49); P = 0.01], while the r allele risk was comparable with the wt allele [OR 0.78 (0.54-1.14) vs. 1.00, respectively]. E318K+ cases with the r/r genotype had a lower but not significant melanoma risk relative to wt/wt [OR 0.52 (0.20-1.38)]. Within the E318K+ cohort, R genotypes (R/R, R/r and R/wt) conferred a significantly higher risk compared with non-R genotypes (r/r, r/wt and wt/wt) (P < 0.001). UK Biobank data supported our findings that r did not increase melanoma risk in E318K+ individuals. CONCLUSIONS: RHC alleles/genotypes modify melanoma risk differently in MITF E318K- and E318K+ individuals. Specifically, although all RHC alleles increase risk relative to wt in E318K- individuals, only MC1R R increases melanoma risk in E318K+ individuals. Importantly, in the E318K+ cohort the MC1R r allele risk is comparable with wt. These findings could inform counselling and management for MITF E318K+ individuals.

Human Genetics Society of Australasia Position Statement: Use of Polygenic Scores in Clinical Practice and Population Health.

Considerable progress continues to be made with regards to the value and use of disease associated polygenic scores (PGS). PGS aim to capture a person's genetic liability to a condition, disease, or a trait, combining information across many risk variants and incorporating their effect sizes. They are already available for clinicians and consumers to order in Australasia. However, debate is ongoing over the readiness of this information for integration into clinical practice and population health. This position statement provides the viewpoint of the Human Genetics Society of Australasia (HGSA) regarding the clinical application of disease-associated PGS in both individual patients and population health. The statement details how PGS are calculated, highlights their breadth of possible application, and examines their current challenges and limitations. We consider fundamental lessons from Mendelian genetics and their continuing relevance to PGS, while also acknowledging the distinct elements of PGS. Use of PGS in practice should be evidence based, and the evidence for the associated benefit, while rapidly emerging, remains limited. Given that clinicians and consumers can already order PGS, their current limitations and key issues warrant consideration. PGS can be developed for most complex conditions and traits and can be used across multiple clinical settings and for population health. The HGSA's view is that further evaluation, including regulatory, implementation and health system evaluation are required before PGS can be routinely implemented in the Australasian healthcare system.

Measuring the quality of skin cancer management in primary care: A scoping review.

Skin cancer is a growing global problem and a significant health and economic burden. Despite the practical necessity for skin cancer to be managed in primary care settings, little is known about how quality of care is or should be measured in this setting. This scoping review aimed to capture the breadth and range of contemporary evidence related to the measurement of quality in skin cancer management in primary care settings. Six databases were searched for relevant texts reporting on quality measurement in primary care skin cancer management. Data from 46 texts published since 2011 were extracted, and quality measures were catalogued according to the three domains of the Donabedian model of healthcare quality (structure, process and outcome). Quality measures within each domain were inductively analysed into 13 key emergent groups. These represented what were deemed to be the most relevant components of skin cancer management as related to structure, process or outcomes measurement. Four groups related to the structural elements of care provision (e.g. diagnostic tools and equipment), five related to the process of care delivery (e.g. diagnostic processes) and four related to the outcomes of care (e.g. poor treatment outcomes). A broad range of quality measures have been documented, based predominantly on articles using retrospective cohort designs; systematic reviews and randomised controlled trials were limited.

Multiplex melanoma families are enriched for polygenic risk.

Cancers, including cutaneous melanoma, can cluster in families. In addition to environmental etiological factors such as ultraviolet radiation, cutaneous melanoma has a strong genetic component. Genetic risks for cutaneous melanoma range from rare, high-penetrance mutations to common, low-penetrance variants. Known high-penetrance mutations account for only about half of all densely affected cutaneous melanoma families, and the causes of familial clustering in the remainder are unknown. We hypothesize that some clustering is due to the cumulative effect of a large number of variants of individually small effect. Common, low-penetrance genetic risk variants can be combined into polygenic risk scores. We used a polygenic risk score for cutaneous melanoma to compare families without known high-penetrance mutations with unrelated melanoma cases and melanoma-free controls. Family members had significantly higher mean polygenic load for cutaneous melanoma than unrelated cases or melanoma-free healthy controls (Bonferroni-corrected t-test P = 1.5 × 10-5 and 6.3 × 10-45, respectively). Whole genome sequencing of germline DNA from 51 members of 21 families with low polygenic risk for melanoma identified a CDKN2A p.G101W mutation in a single family but no other candidate high-penetrance melanoma susceptibility genes. This work provides further evidence that melanoma, like many other common complex disorders, can arise from the joint action of multiple predisposing factors, including rare high-penetrance mutations, as well as via a combination of large numbers of alleles of small effect.

Independent evaluation of melanoma polygenic risk scores in UK and Australian prospective cohorts.

BACKGROUND: Previous studies suggest that polygenic risk scores (PRSs) may improve melanoma risk stratification. However, there has been limited independent validation of PRS-based risk prediction, particularly assessment of calibration (comparing predicted to observed risks). OBJECTIVES: To evaluate PRS-based melanoma risk prediction in prospective UK and Australian cohorts with European ancestry. METHODS: We analysed invasive melanoma incidence in the UK Biobank (UKB; n = 395 647, 1651 cases) and a case-cohort nested within the Melbourne Collaborative Cohort Study (MCCS, Australia; n = 4765, 303 cases). Three PRSs were evaluated: 68 single-nucleotide polymorphisms (SNPs) at 54 loci from a 2020 meta-analysis (PRS68), 50 SNPs significant in the 2020 meta-analysis excluding UKB (PRS50) and 45 SNPs at 21 loci known in 2018 (PRS45). Ten-year melanoma risks were calculated from population-level cancer registry data by age group and sex, with and without PRS adjustment. RESULTS: Predicted absolute melanoma risks based on age and sex alone underestimated melanoma incidence in the UKB [ratio of expected/observed cases: E/O = 0·65, 95% confidence interval (CI) 0·62-0·68] and MCCS (E/O = 0·63, 95% CI 0·56-0·72). For UKB, calibration was improved by PRS adjustment, with PRS50-adjusted risks E/O = 0·91, 95% CI 0·87-0·95. The discriminative ability for PRS68- and PRS50-adjusted absolute risks was higher than for risks based on age and sex alone (Δ area under the curve 0·07-0·10, P < 0·0001), and higher than for PRS45-adjusted risks (Δ area under the curve 0·02-0·04, P < 0·001). CONCLUSIONS: A PRS derived from a larger, more diverse meta-analysis improves risk prediction compared with an earlier PRS, and might help tailor melanoma prevention and early detection strategies to different risk levels. Recalibration of absolute risks may be necessary for application to specific populations.

Sensitivity of two Australian melanoma risk tools to identify high-risk individuals among people presenting with their first primary melanoma.

AIMS: Regular skin examinations for early detection of melanoma are recommended for high-risk individuals, but there is minimal consensus regarding what constitutes 'high-risk'. Melanoma risk prediction models may guide this. We compared two online melanoma risk prediction tools: Victorian Melanoma Service (VMS) and Melanoma Institute Australia (MIA) risk tools; to assess classification differences of patients at high-risk of a first primary melanoma. METHODS: Risk factor data for 357 patients presenting with their first primary melanoma were entered into both risk tools. Predicted risks were recorded: 5-year absolute risk (VMS tool and MIA tool); 10-year, lifetime, and relative risk estimates (MIA tool). Sensitivities for each tool were calculated using the same high-risk thresholds. The MIA risk tool showed greater sensitivity on comparison of 5-year absolute risks (90% MIA vs 78% VMS). Patients had significantly higher odds of being classified as high or very-high risk using the MIA risk tool overall, and for each patient subgroup. Using either tool, patients of male gender or with synchronous multiple first primary melanomas were more likely to be correctly classified as high- or very-high risk using 5-year absolute risk thresholds; but tumour invasiveness was unrelated to risk. Classification differed when using the MIA risk categories based on relative risk. CONCLUSIONS: Both melanoma risk prediction tools had high sensitivity for identifying individuals at high-risk and could be used for optimising prevention campaigns. The choice of which risk tool, measure, and threshold for risk stratification depends on the intended purpose of risk prediction, and ideally requires information on specificity.

Impact of personal genomic risk information on melanoma prevention behaviors and psychological outcomes: a randomized controlled trial.

PURPOSE: We evaluated the impact of personal melanoma genomic risk information on sun-related behaviors and psychological outcomes. METHODS: In this parallel group, open, randomized controlled trial, 1,025 Australians of European ancestry without melanoma and aged 18-69 years were recruited via the Medicare database (3% consent). Participants were randomized to the intervention (n = 513; saliva sample for genetic testing, personalized melanoma risk booklet based on a 40-variant polygenic risk score, telephone-based genetic counseling, educational booklet) or control (n = 512; educational booklet). Wrist-worn ultraviolet (UV) radiation dosimeters (10-day wear) and questionnaires were administered at baseline, 1 month postintervention, and 12 months postbaseline. RESULTS: At 12 months, 948 (92%) participants completed dosimetry and 973 (95%) the questionnaire. For the primary outcome, there was no effect of the genomic risk intervention on objectively measured UV exposure at 12 months, irrespective of traditional risk factors. For secondary outcomes at 12 months, the intervention reduced sunburns (risk ratio: 0.72, 95% confidence interval: 0.54-0.96), and increased skin examinations among women. Melanoma-related worry was reduced. There was no overall impact on general psychological distress. CONCLUSION: Personalized genomic risk information did not influence sun exposure patterns but did improve some skin cancer prevention and early detection behaviors, suggesting it may be useful for precision prevention. There was no evidence of psychological harm.

Knowledge, views and expectations for cancer polygenic risk testing in clinical practice: A cross-sectional survey of health professionals.

Polygenic risk scores (PRS) are becoming increasingly available in clinical practice to evaluate cancer risk. However, little is known about health professionals' knowledge, attitudes, and expectations of PRS. An online questionnaire was distributed by relevant health professional organisations predominately in Australia, Canada and the US to evaluate health professionals' knowledge, views and expectations of PRS. Eligible participants were health professionals who provide cancer risk assessments. Results from the questionnaire were analysed descriptively and content analysis was undertaken of free-text responses. In total, 105 health professionals completed the questionnaire (genetic counsellors 84%; oncologists 6%; clinical geneticists 4%; other 7%). Although responses differed between countries, most participants (61%) had discussed PRS with patients, 20% had ordered a test and 14% had returned test results to a patient. Confidence and knowledge around interpreting PRS were low. Although 69% reported that polygenic testing will certainly or likely influence patient care in the future, most felt unprepared for this. If scaled up to the population, 49% expect that general practitioners would have a primary role in the provision of PRS, supported by genetic health professionals. These findings will inform the development of resources to support health professionals offering polygenic testing, currently and in the future.

School-based interventions to improve sun-safe knowledge, attitudes and behaviors in childhood and adolescence: A systematic review.

Ultraviolet radiation exposure is the leading cause of skin cancer, and childhood and adolescence is a particularly susceptible life period for exposure. This systematic review assessed whether interventions in elementary and secondary school settings reduced sun exposure, sunburns, and development of melanocytic nevi, and improved sun-safe knowledge, attitudes and sun protection behaviors in childhood and adolescence. A systematic search up to June 2020 of MEDLINE, Embase, CINAHL, Cochrane and ProQuest databases was undertaken, for studies conducted among students in an elementary or secondary school setting that compared an intervention group with a pre-intervention or separate control group. Data were summarized using qualitative synthesis. Pooled effects from meta-analysis with random effects were also reported where appropriate. Sixty-five studies were included (22 randomized, 43 non-randomized). Most studies assessed measures of sun-safe behaviors, knowledge and attitudes (57, 48 and 33 studies, respectively), and observed improved sun protection behaviors and sun-safe knowledge, whereas few studies reduced time in the sun. About half improved participants' attitudes towards tanning desirability. Sunburns and nevus counts were less frequently assessed, but about half of these studies observed a reduction. There was substantial heterogeneity for outcomes except attitudes towards the desirability of tanning (pooled odds ratio from 6 studies: 0.81, 95% confidence interval 0.70-0.94). Key positive intervention features included: elementary school settings, interactive features or multiple components, and incorporating social norm influences. Most studies were classified at high risk of bias. In conclusion, school-based sun-related interventions had positive impacts on behaviors and attitudes among elementary and secondary school children.

Acceptability of risk-stratified population screening across cancer types: Qualitative interviews with the Australian public.

BACKGROUND: There is mounting evidence of the benefit of risk-stratified (risk-tailored) cancer population screening, when compared to standard approaches. However, shifting towards this approach involves changes to practice that may give rise to implementation challenges. OBJECTIVES: To explore the public's potential acceptance of risk-stratified screening across different cancer types, including reducing screening frequency if at low risk and the use of personal risk information, to inform implementation strategies. METHOD: Semi-structured interviews were conducted with 40 public participants; half had received personal genomic risk information and half had not. Participants were prompted to consider different cancers. Data were analysed thematically as one dataset. RESULTS: Themes included the following: (a) a sense of security; (b) tailored screening is common sense; (c) risk and the need to take action; (d) not every cancer is the same; and (e) trust and belief in health messages. Both groups expressed similar views. Participants were broadly supportive of risk-stratified screening across different cancer types, with strong support for increased screening frequency for high-risk groups. They were less supportive of reduced screening frequency or no screening for low-risk groups. Findings suggest the public will be amenable to reducing screening when the test is invasive and uncomfortable; be less opposed to forgo screening if offered the opportunity to screen at some stage; and view visible cancers such as melanoma differently. CONCLUSIONS: Approaching distinct cancer types differently, tailoring messages for different audiences and understanding reasons for participating in screening may assist with designing future implementation strategies for risk-stratified cancer screening.