This Viewpoint discusses legal and privacy concerns raised by South Korea’s information technology (IT)–based containment of the COVID-19 pandemic and proposes use of aggregated rather than person-level data to protect the privacy of individuals while maintaining the effectiveness of public health measures.

A B S T R A C T PurposeWe have implemented a high throughput platform for quantitative analysis of serum autoantibodies, which we have applied to lung cancer for discovery of novel antigens and for validation in prediagnostic sera of autoantibodies to antigens previously defined based on analysis of sera collected at the time of diagnosis. Materials and MethodsProteins from human lung adenocarcinoma cell line A549 lysates were subjected to extensive fractionation. The resulting 1,824 fractions were spotted in duplicate on nitrocellulose-coated slides. The microarrays produced were used in a blinded validation study to determine whether annexin I, PGP9.5, and 14-3-3 theta antigens previously found to be targets of autoantibodies in newly diagnosed patients with lung cancer are associated with autoantibodies in sera collected at the presymptomatic stage and to determine whether additional antigens may be identified in prediagnostic sera. Individual sera collected from 85 patients within 1 year before a diagnosis of lung cancer and 85 matched controls from the Carotene and Retinol Efficacy Trial (CARET) cohort were hybridized to individual microarrays. ResultsWe present evidence for the occurrence in lung cancer sera of autoantibodies to annexin I, 14-3-3 theta, and a novel lung cancer antigen, LAMR1, which precede onset of symptoms and diagnosis. ConclusionOur findings suggest potential utility of an approach to diagnosis of lung cancer before onset of symptoms that includes screening for autoantibodies to defined antigens.

The designation of a "special population" for those with coinfection requires reconsideration; DAA therapies have resulted in similarly high rates of SVR for HCV infection in those with and without HIV infection; despite these improvements, however, clinicians must be cognizant of negative predictors of SVR and barriers to treatment that may be more common in the coinfected population. (Hepatology 2018;67:847-857).