Purpose: Corneal melanoma (CM) is a rare malignancy that develops from melanocytes within the cornea, constituting a minority of all ocular tumors. In this study, we sought to investigate the clinicopathological characteristics correlated with the prognosis of CM patients. Methods: We collected patients with CM between 1983 and 2018 from the Surveillance, Epidemiology, and End Results (SEER) database. Cox proportional hazards regression was used for univariate analysis to value hazard ratio of malignant CM versus spindle cell melanoma and nodular melanoma subgroups. Kaplan-Meier survival analysis and log-rank test were also performed to identify additional prognostic markers and confirm the findings of the Cox hazard ratio. Results: A total of 29 eligible patients were collected in our study. Age at diagnosis, laterality, primary site, tumor size, the extent of disease, marital status, income, residential area, and treatment showed no significant prognostic factors for CM patients (p > 0.05). However, when concerned with the primary site of malignant melanoma, spindle cell melanoma and nodular melanoma were found to show significantly poorer prognosis in CM patients (both p < 0.05). Conclusions Age at diagnosis, laterality, primary site, tumor size, the extent of disease, and treatment were not significant prognostic indicators for CM patients. Spindle cell melanoma and nodular melanoma were notable for showing worse survival outcomes than malignant melanoma. Although the sample size in the SEER database was limited, our findings may provide motivation for tailoring individualized treatments for patients with CM with different primary sites.

Purpose: Corneal melanoma (CM) is a rare malignancy that develops from melanocytes within the cornea, constituting a minority of all ocular tumors. In this study, we sought to investigate the clinicopathological characteristics correlated with the prognosis of CM patients. Methods: We collected patients with CM between 1983 and 2018 from the Surveillance, Epidemiology, and End Results (SEER) database. Cox proportional hazards regression was used for univariate analysis to value hazard ratio of malignant CM versus spindle cell melanoma and nodular melanoma subgroups. Kaplan-Meier survival analysis and log-rank test were also performed to identify additional prognostic markers and confirm the findings of the Cox hazard ratio. Results: A total of 29 eligible patients were collected in our study. Age at diagnosis, laterality, primary site, tumor size, the extent of disease, marital status, income, residential area, and treatment showed no significant prognostic factors for CM patients (p > 0.05). However, when concerned with the primary site of malignant melanoma, spindle cell melanoma and nodular melanoma were found to show significantly poorer prognosis in CM patients (both p < 0.05). Conclusions Age at diagnosis, laterality, primary site, tumor size, the extent of disease, and treatment were not significant prognostic indicators for CM patients. Spindle cell melanoma and nodular melanoma were notable for showing worse survival outcomes than malignant melanoma. Although the sample size in the SEER database was limited, our findings may provide motivation for tailoring individualized treatments for patients with CM with different primary sites.

Purpose: Corneal melanoma (CM) is a rare malignancy that develops from melanocytes within the cornea, constituting a minority of all ocular tumors. In this study, we sought to investigate the clinicopathological characteristics correlated with the prognosis of CM patients. Methods: We collected patients with CM between 1983 and 2018 from the Surveillance, Epidemiology, and End Results (SEER) database. Cox proportional hazards regression was used for univariate analysis to value hazard ratio of malignant CM versus spindle cell melanoma and nodular melanoma subgroups. Kaplan-Meier survival analysis and log-rank test were also performed to identify additional prognostic markers and confirm the findings of the Cox hazard ratio. Results: A total of 29 eligible patients were collected in our study. Age at diagnosis, laterality, primary site, tumor size, the extent of disease, marital status, income, residential area, and treatment showed no significant prognostic factors for CM patients (p > 0.05). However, when concerned with the primary site of malignant melanoma, spindle cell melanoma and nodular melanoma were found to show significantly poorer prognosis in CM patients (both p < 0.05). Conclusions Age at diagnosis, laterality, primary site, tumor size, the extent of disease, and treatment were not significant prognostic indicators for CM patients. Spindle cell melanoma and nodular melanoma were notable for showing worse survival outcomes than malignant melanoma. Although the sample size in the SEER database was limited, our findings may provide motivation for tailoring individualized treatments for patients with CM with different primary sites.

Purpose: Corneal melanoma (CM) is a rare malignancy that develops from melanocytes within the cornea, constituting a minority of all ocular tumors. In this study, we sought to investigate the clinicopathological characteristics correlated with the prognosis of CM patients. Methods: We collected patients with CM between 1983 and 2018 from the Surveillance, Epidemiology, and End Results (SEER) database. Cox proportional hazards regression was used for univariate analysis to value hazard ratio of malignant CM versus spindle cell melanoma and nodular melanoma subgroups. Kaplan-Meier survival analysis and log-rank test were also performed to identify additional prognostic markers and confirm the findings of the Cox hazard ratio. Results: A total of 29 eligible patients were collected in our study. Age at diagnosis, laterality, primary site, tumor size, the extent of disease, marital status, income, residential area, and treatment showed no significant prognostic factors for CM patients (p > 0.05). However, when concerned with the primary site of malignant melanoma, spindle cell melanoma and nodular melanoma were found to show significantly poorer prognosis in CM patients (both p < 0.05). Conclusions Age at diagnosis, laterality, primary site, tumor size, the extent of disease, and treatment were not significant prognostic indicators for CM patients. Spindle cell melanoma and nodular melanoma were notable for showing worse survival outcomes than malignant melanoma. Although the sample size in the SEER database was limited, our findings may provide motivation for tailoring individualized treatments for patients with CM with different primary sites.

Purpose: Corneal melanoma (CM) is a rare malignancy that develops from melanocytes within the cornea, constituting a minority of all ocular tumors. In this study, we sought to investigate the clinicopathological characteristics correlated with the prognosis of CM patients. Methods: We collected patients with CM between 1983 and 2018 from the Surveillance, Epidemiology, and End Results (SEER) database. Cox proportional hazards regression was used for univariate analysis to value hazard ratio of malignant CM versus spindle cell melanoma and nodular melanoma subgroups. Kaplan-Meier survival analysis and log-rank test were also performed to identify additional prognostic markers and confirm the findings of the Cox hazard ratio. Results: A total of 29 eligible patients were collected in our study. Age at diagnosis, laterality, primary site, tumor size, the extent of disease, marital status, income, residential area, and treatment showed no significant prognostic factors for CM patients (p > 0.05). However, when concerned with the primary site of malignant melanoma, spindle cell melanoma and nodular melanoma were found to show significantly poorer prognosis in CM patients (both p < 0.05). Conclusions Age at diagnosis, laterality, primary site, tumor size, the extent of disease, and treatment were not significant prognostic indicators for CM patients. Spindle cell melanoma and nodular melanoma were notable for showing worse survival outcomes than malignant melanoma. Although the sample size in the SEER database was limited, our findings may provide motivation for tailoring individualized treatments for patients with CM with different primary sites.

Objective To investigate the clinical characteristics,treatment responses,and prognosis of patients with idiopathic multicentric Castleman disease(iMCD)complicated by autoimmune hemolytic anemia(AIHA). Methods The patients diagnosed with iMCD in Peking Union Medical College Hospital from January 2010 to December 2023 and having complete baseline blood routine data were retrospectively enrolled in the study.The iMCD patients were further assigned into AIHA and non-AIHA groups based on baseline laboratory examinations,and the clinical characteristics and prognosis were compared between the two groups. Results A total of 341 patients with iMCD were enrolled in this study,including 277(81.2%)exhibiting anemia at baseline.Five(1.8%)patients were identified as having iMCD-AIHA,all of whom were iMCD-not otherwise specified type complicated by warm antibody-type AIHA,and two of them were simultaneously diagnosed with Evans syndrome.The timing relationship between the first onset of AIHA and iMCD diagnosis varied,with 2 patients experiencing their first hemolytic episode prior to the diagnosis of iMCD.In terms of treatment,the therapy targeting iMCD was effective in alleviating AIHA.The AIHA group had a poorer prognosis(HR=4.61,95% CI=1.08-19.80,P=0.040)and a lower 5-year survival rate(90% vs.60%,P=0.024)than the non-AIHA group.Conclusions iMCD-AIHA is clinically rare,and AIHA can occur at different stages of iMCD.Although the primary treatment principle remains targeting iMCD,great attention should be paid to the exacerbation of immune dysfunction caused by AIHA and the possible adverse prognosis it may bring.
Humans ; Anemia, Hemolytic, Autoimmune/diagnosis* ; Castleman Disease/diagnosis* ; Retrospective Studies ; Male ; Female ; Prognosis ; Adult ; Middle Aged ; Aged ; Young Adult ; Adolescent

Castleman's disease is a rare polyclonal lymphoproliferative disorder.This article reports the diagnosis and treatment of a 45-year-old female patient with idiopathic multicentric Castleman's disease.The patient presented recurrent fever,enlarged lymph nodes,and elevated levels of inflammation markers.After multiple serological examinations and tissue biopsies,she was diagnosed with hyaline vascular-type Castleman's disease.Initially,the patient received siltuximab targeting interleukin-6,which significantly improved her condition.Considering the cost and convenience of long-term treatment,she subsequently switched the therapy to an oral treatment regimen of thalidomide,cyclophosphamide,and prednisone (TCP),which maintained disease control.This report aims to highlight the diagnostic complexity and diversity of treatment options for idiopathic multicentric Castleman's disease,demonstrating the potential of the TCP regimen as a cost-effective treatment choice.
Humans ; Castleman Disease/drug therapy* ; Female ; Middle Aged ; Thalidomide/therapeutic use* ; Prednisone/therapeutic use* ; Cyclophosphamide/therapeutic use* ; Antibodies, Monoclonal/administration & dosage*

Castleman disease (CD) is a rare and highly heterogeneous lymphoproliferative disorder, with clinical and pathological features ranging from asymptomatic localized lesions to life-threatening systemic inflammatory responses. In recent years, the classification system of CD has been increasingly refined, with both unicentric CD (UCD) and multicentric CD (MCD) expanding into multiple subtypes with distinct clinical characteristics. Although the classification framework has become more sophisticated, some subtypes still lack specific biomarkers, and the categorization of certain entities remains controversial. This review summarizes advances in CD classification approaches over the past years, explores the clinical features and identification of newly proposed subtypes, and analyzes current challenges, aiming to provide a reference for optimizing diagnostic and therapeutic strategies.

Objective To evaluate the short-term clinical effect of arthroscopic repair of rotator cuff injury with all-suture anchor using a prospective and single-cohort clinical trial.Methods Twenty-five patients with rotator cuff injuries(1.5 cm0.05).Conclusion Arthroscopic rotator cuff repair with all-suture anchor is feasible and safe,and has good short-term clinical effect.

Deep vein thrombosis(DVT)is a common peripheral vascular disease in clinical practice.The lack of precise and efficient early diagnostic techniques renders it susceptible to being overlooked or misdiagnosed,and therefore,identifying trustworthy biomarkers is a major issue that has to be resolved.In this study,the endogenous metabolites in the urine of DVT rats were screened by metabolomics technology based on gas chromatograph-mass spectrometry(GC-MS)and the characteristic metabolites were identified by multiple feature selection algorithms and multivariate statistical analysis,for the development of a machine learning-based diagnostic model for DVT.The urine samples in metabolic cage in the thrombus development phase(between 48 and 72 h)of rats were collected,which was used as the models for inferior vena cava ligation.The metabolic profiles of the control group and DVT were obtained using the GC-MS method.A total of 176 kinds of endogenous metabolites were identified in rat urine through comparison with the FiehnLib database,26 kinds of differential metabolites associated with DVT were screened through a combination of the Mann-Whitney U test and orthogonal partial least squares discriminant analysis(OPLS-DA),and 13 kinds of significant metabolites strongly correlated with DVT were further evaluated in conjunction with various machine learning feature selection techniques.For DVT diagnosis,machine learning models such as Gaussian Naive Bayes(GNB),support vector machine(SVM),logistic regression(LR),and linear discriminant analysis(LDA)were developed.The diagnostic model constructed using 13 kinds of key metabolites demonstrated excellent accuracy and stability,and surpassed the predictive performance of the models utilizing 176 kinds of metabolites and 26 kinds of differential metabolites,as evidenced by examination and comparison of each model's efficacy.The study showed that the integration of multiple feature selection algorithms for analyzing metabolite information in DVT rat urine was capable of effectively identifying reliable potential markers of DVT.Furthermore,the developed machine learning model offered a novel technical approach for the automated diagnosis of DVT.