6 research outputs found
DataSheet_1_A case report of multicentric reticulohistiocytosis with atypical cutaneous presentation.pdf
Multicentric reticulohistiocytosis (MRH) is a rare systemic disorder characterized by histiocytic hyperplasia that mainly involves the skin, mucous membranes, and joints. The typical clinical features include papules, nodules, and arthritis. MRH lesions are relatively extensive but small and scattered. Joint inflammation is characterized by diffuse symmetric polyarthritis as the first symptom, which can be severe and disabling due to destructive joint changes. MRH is easily misdiagnosed in clinical practice. Here, we report the case of an elderly male patient who presented with polyarticular pain in the hip and interphalangeal joints as the first manifestation, followed by the development of large, isolated, bulging skin nodules, which are atypical MRH lesions. This is rare in all MRH case reports, and we made the correct diagnosis by combining skin histopathology, immunohistochemistry, and other clinical examinations. We performed surgical treatment on the local skin lesions of this patient. This case suggests that clinicians should actively correlate the condition and accurately diagnose MRH when encountering atypical skin changes or other diseases as the first symptom and explore the mechanisms of MRH and other clinical manifestations.</p
Additional file 4 of Establishment and validation of an immune infiltration predictive model for ovarian cancer
Additional file 4: Figure S4. Nomogram for overall survival at 1-, 3-, and 5-year in ovarian cancer patients in IMvigor210 cohort
Additional file 5 of Establishment and validation of an immune infiltration predictive model for ovarian cancer
Additional file 5: Table S1. Clinical information of TCGA-OV patients. Table S2. Immune-related genesets enriched in TP53 MUT OVs. Table S3. Differentially expressed immune-related genes between TP53 WT and TP53 MUT OVs.Table S4. Univariate Cox regression analysis of differentially expressed immune-related genes. Table S5. Analysis of correlations between risk score and immune checkpoints. Table S6. Top 20 clusters with their representative enriched terms by Metascape
Additional file 3 of Establishment and validation of an immune infiltration predictive model for ovarian cancer
Additional file 3: Figure S3. Distuibution of risk score in TP53 status
Additional file 2 of Establishment and validation of an immune infiltration predictive model for ovarian cancer
Additional file 2: Figure S2. Calibration plot at 1-, 3-, and 5-year of nomogram without IPM
Additional file 1 of Establishment and validation of an immune infiltration predictive model for ovarian cancer
Additional file 1: Figure S1. Correlatio between IPM and patient survival. (A) Status distribution in high- and low group. (B) Correlation between risk score and survival