Comparison of S100A8 and PRAME as biomarkers for distinguishing melanoma from melanocytic naevus: a case-control analysis.

BACKGROUND: S100A8 is a melanoma biomarker expressed in the melanoma-associated epidermal keratinocytes, but its diagnostic utility has not been compared with other biomarkers, including PRAME. OBJECTIVES: To compare the utility of S100A8 and PRAME immunohistochemistry (IHC) in the differential diagnosis of melanoma and naevi in a case-control study. METHODS: A previously described cohort of 209 melanomas (case samples) and naevi (control samples) dual-immunostained for S100A8 and PRAME were included. For S100A8, previously reported scores indicating the proportion of tumour-associated epidermis stained (0 = indeterminate; 1 = 0-4%; 2 = 5-25%; 3 = 26-50%; 4 = 51-75%; 5 = > 75%) were utilized. PRAME IHC was reviewed by at least two reviewers and a consensus score assigned, with score indicating the proportion of tumour stained (0 = indeterminate; 1 = 0%; 2 = 1-50%; 3 = > 50%). A positive test was defined as > 50% staining. RESULTS: The area under the receiver operating characteristic curves for S100A8 (0.833) and PRAME (0.874) were not significantly different from each other (P = 0.22). The diagnostic sensitivity and specificity were 42.4% [95% confidence interval (CI) 32.6-52.8%] and 98.2% (95% CI 93.6-99.8%) for S100A8, and 79.8% (95% CI 70.5-87.2%) and 87.3% (95% CI 79.6-92.9%) for PRAME, respectively. A combined test requiring both S100A8 and PRAME IHC positivity had a sensitivity of 39.4% (95% CI 29.7-49.7%) and specificity of 99.1% (95% CI 95.0-100.0%). CONCLUSIONS: S100A8 and PRAME have utility in the diagnostic workup of melanoma, with S100A8 being more specific and PRAME being more sensitive when using this threshold. Our findings suggest that these two immunohistochemical markers may favourably complement one another to improve the detection of melanoma.

CDKN2A exon 1B deletion predisposing to melanoma and neural system tumour syndrome.

CDKN2A at chromosome positon 9p21 is a tumour suppressor gene encoding the cell cycle regulators p16 and p14ARF. While melanoma is associated with variants affecting both transcripts, families with mutations involving the p14ARF-specific exon 1B may be predisposed to central nervous system tumours. We describe a family with a deletion of exon 1B in CDKN2A, who had multiple cutaneous melanomas, neural tumours and various malignancies.

A multimodal assessment of tobacco use on a university campus and support for adopting a comprehensive tobacco-free policy.

Many college campuses now prohibit tobacco use. At a private U.S. university, the current study assessed cigarette and e-cigarette use and characterized the climate for adopting a comprehensive tobacco-free policy. Data were gathered January-August 2018 via an: environmental scan; cigarette-urn audit; and representative surveys with campus community members. Despite low prevalence of tobacco (0.5%-8%) and e-cigarette use (0.9%-6%) among all groups, campus cigarette clean-up costs exceeded $114,000 for an estimated >1 million butts left on campus annually. A majority of respondents (63% of N = 2218) favored a campus-wide tobacco-free policy, 16% opposed, and 21% abstained. Most respondents endorsed benefits of supporting health (93%), ensuring tobacco-free air to breathe (92%), reducing litter (88%), preventing tobacco use (84%) and fires (83%), and helping tobacco users quit (65%). Identified challenges included policy enforcement (69%) and stigmatization of smoking (57%); 30% viewed a policy as compromising personal freedoms. In a model explaining 35% of variance in policy support, those more likely to favor comprehensive tobacco-free campus policy were Asian respondents; diagnosed with asthma; exposed to secondhand smoke on campus; who viewed campus cigarette butt litter as problematic; and identified health, prevention, and cessation benefits of a tobacco-free campus. Those less likely in favor were students, those who smoke, and those perceiving impingement upon personal freedoms, stigmatization, and broader (slippery slope) implications. Findings indicate low tobacco use prevalence among the campus community, yet a large volume of butt litter and high tobacco clean-up costs. Predictors of policy support can inform campus outreach efforts.

The Effect of COVID-19 on Oncology Care for Adolescents and Young Adults in Latin America.

Children with cancer in low- and middle-income countries were disproportionately impacted by the COVID-19 pandemic, but little is known about how adolescents and young adults (AYAs) with cancer were affected. Sixty-seven physicians and nonphysician providers were interviewed about their experiences caring for AYAs with cancer in Latin America. Quotes related to the COVID-19 pandemic were identified and grouped into themes. Barriers from the COVID-19 pandemic included limited space, restrictions on travel, reduced funding, limited staff, limited services, and changes to treatment. However, improvements to care that arose from the COVID-19 pandemic included better access to distance learning and telemedicine.

Smoking and Unemployment: A Photo Elicitation Project.

INTRODUCTION: Research has documented higher smoking prevalence with unemployment and greater difficulty with gaining re-employment for those who smoke. Using photo elicitation methods, we sought to gain a deeper understanding of the connection between job-seeking and tobacco use. METHODS: Unemployed daily smokers (18 men, 1 woman) were recruited from the San Francisco Employment Development Department (EDD) and provided disposable cameras with 27 exposures and a list of 20 photo prompts related to job-seeking and tobacco. Study staff reviewed the photos with the participants and audio-recorded their narratives. The photos and narratives were coded for themes. RESULTS: Of 363 photos, the most frequent photo imagery related to transportation (n = 56, 15.4%), work or education (n = 39, 10.7%), and littered cigarettes (n = 39, 10.7%). Narrated themes centered on motivators to quit smoking (255 mentions from 15 participants); people, places, and things associated with smoking (248 mentions, 16 participants); and motivators to secure work (157 mentions, 13 participants). The intersection of smoking and unemployment received 92 mentions from 11 participants, with 60 mentions (8 participants) identifying smoking as a barrier to re-employment. CONCLUSIONS: Both motivators to quit and associated smoking cues were salient in the environments of job-seeking smokers. Struggles with quitting and perceptions that smoking is harming re-employment success suggest the potential for offering tobacco treatment in EDD settings. With permission, the photos and themes have been incorporated into a tobacco treatment intervention for job-seeking smokers.