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This genetic association study examines the genetic aspects of necrobiotic xanthogranuloma in 3 patients in China.
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Objectives: To describe the demographics and phenotypes of malignancies-associated dermatomyositis (MADM) in east China and pinpoint potential factors indicative of malignancies in patients with dermatomyositis and establish a predictive model. Methods: We retrospectively analyzed clinical data from 134 patients with adult-onset dermatomyositis hospitalized between January 2019 and May 2022 in one comprehensive hospital. Clinical data including disease course, initial symptoms and signs, and demographic information were retrieved from the Electronic Medical Records System. Other parameters including myositis-specific autoantibodies profiles, ferritin, sedimentation, etc. were all referable. Multivariable multinomial logistic regression was employed to simulate a model to predict cancer risks. Receiver operating characteristic curve was adopted to evaluate the potency of the model. Results: 134 patients with adult-onset dermatomyositis were aptly enrolled in this study based on inclusive and exclusive criteria: 12 (8.96%) with malignancies, 57 (42.53%) with aberrant tumor biomarkers but no malignancies, 65 (48.51%) with neither malignancies nor abnormal tumor biomarkers. Senior diagnostic age, higher LDH, higher ferritin, positive anti-TIF1γ and anti-Mi2 rather than anti-NXP2 autoantibodies were positive indicators of malignancies. Additionally, neither initial complaints nor signs were found to be correlated to a tendency towards malignancies. Digestive system, nasopharyngeal, and lung malignancies were mostly documented in east China. One multivariable multinomial logistic regression model was established to predict the phenotypes of dermatomyositis on the basis of potential malignancies and the overall sensitivity and specificity was satisfactory. Conclusion: Positivity of anti-TIF1γ and anti-Mi2 autoantibodies are highly indicative of malignancies while the role of anti-NXP2 autoantibody in MADM in the Chinese population remains unclear. The phenotypes of malignancies can be predicted through the model and the predictive power is sufficient. More attention should be paid to malignancies screening in patients with aberrant tumor biomarkers but no malignancies, particularly digestive system, nasopharyngeal, and lung malignancies in patients with dermatomyositis but without malignancies.
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AIMS: To identify potential causative gene mutations in a large Han Chinese pedigree with diffuse nonepidermolytic palmoplantar keratoderma (NEPPK). METHODS: We enrolled 11 patients and 8 healthy individuals from a pedigree with NEPPK and 100 randomly selected healthy controls. Biopsy samples were obtained from the proband. Genomic DNA was extracted from a peripheral blood sample from each participant. Mutation detection via polymerase chain reaction and Sanger sequencing of relevant potential causative genes, including KRT1, KRT6C, KRT10, KRT16, AQP5, and SERPINB7, was performed. Comparisons were made between sequencing outcomes and currently available reference genome databases, including HGMD Pro, Pubmed, 1000 Genomics, and dbSNP. RESULTS: Histological findings, clinical features, and medical history were in accordance with the diagnosis of diffuse NEPPK. We identified a novel splice-site mutation c.1255-1G > C in intron 6 of KRT1 in all individuals with NEPPK in the pedigree. CONCLUSIONS: Diffuse NEPPK is a relatively rare subtype of palmoplantar keratoderma. The results of this study expand the spectrum of KRT1 mutations in diffuse NEPPK and provide insights into the understanding of its underlying pathological mechanisms and phenotype-genotype correlations.
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AIMS: To identify potential novel gene mutations in Chinese patients with dyschromatosis symmetrica hereditaria (DSH). METHODS: We enrolled 8 Chinese patients with familial DSH, 5 Chinese patients with sporadic DSH, and 100 randomly selected healthy individuals in this study. The genome of each participant was extracted from peripheral blood samples. Sanger sequencing of the ADAR1 gene was performed after polymerase chain reaction amplifications. Comparisons between the DNA sequences of the affected individuals and the NCBI database were performed. RESULTS: We detected eight novel heterozygous mutations and five previously reported mutations in the ADAR1 gene in our patients. The novel mutations include c.1934 + 3A>G, c.2749A>G, c.2311insA, c.3233G>A, c.3019 + 1G>T, c.2894C>A, c.1202_1205del, and c.2280C>A. These detected novel mutations are predicted to induce two frame-shift mutations, one nonsense mutation, three missense mutations, and two splice-site mutations. CONCLUSIONS: The findings of this study expand our knowledge of the range of ADAR1 gene mutations in DSH and will contribute to identifying correlations between the various DSH phenotypes and genotypes. Furthermore, they may provide insight into the underlying pathogenic mechanism.