Refractory dermatomyositis (DM) is defined as cases that do not show improvement after initial treatment with two different immunosuppressives combined with corticosteroids with or without intravenous immunoglobulins. In recent years, few studies have reported a positive response to the use of Janus kinase inhibitors (JAK‐inhibitors) for the treatment of refractory DM. A systematic literature review was performed for articles studying the use of JAK‐inhibitors for the treatment of refractory DM. We identified 38 females and 15 males treated with JAK‐inhibitors without serious side effects. Tofacitinib was the most frequently used JAK‐inhibitor followed by ruxolitinib. Significant improvement in CDASI score, muscle strength, body weight, and skin lesions were reported in most of the studies. The duration of follow‐up ranged from 1 to 15 months without relapse. Therefore, the use of JAK‐inhibitors looks promising in the treatment of refractory DM and further high volume research may be required to validate the current concept. As only case reports and series were identified without direct comparison for review, there is a potential risk of bias. Despite these limitations, we believe that the result of this analysis allows a better understanding of treatment options for refractory DM and will help generate a hypothesis that can be further tested.

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Background: About 90% of liver cancer-related deaths are caused by hepatocellular carcinoma (HCC). N7-methylguanosine (m7G) modification is associated with the biological process and regulation of various diseases. To the best of our knowledge, its role in the pathogenesis and prognosis of HCC has not been thoroughly investigated.Aim: To identify N7-methylguanosine (m7G) related prognostic biomarkers in HCC. Furthermore, we also studied the association of m7G–related prognostic gene signature with immune infiltration in HCC.Methods: The TCGA datasets were used as a training and GEO dataset “GSE76427” for validation of the results. Statistical analyses were performed using the R statistical software version 4.1.2.Results: Functional enrichment analysis identified some pathogenesis related to HCC. We identified 3 m7G-related genes (CDK1, ANO1, and PDGFRA) as prognostic biomarkers for HCC. A risk score was calculated from these 3 prognostic m7G-related genes which showed the high-risk group had a significantly poorer prognosis than the low-risk group in both training and validation datasets. The 3- and 5-years overall survival was predicted better with the risk score than the ideal model in the entire cohort in the predictive nomogram. Furthermore, immune checkpoint genes like CTLA4, HAVCR2, LAG3, and TIGT were expressed significantly higher in the high-risk group and the chemotherapy sensitivity analysis showed that the high-risk groups were responsive to sorafenib treatment.Conclusion: These 3 m7G genes related signature model can be used as prognostic biomarkers in HCC and a guide for immunotherapy and chemotherapy response. Future clinical study on this biomarker model is required to verify its clinical implications.

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