Humans ; Sarcoma ; Transcription Factors ; Biomarkers, Tumor ; Oncogene Proteins, Fusion

Objective: To clarify the values of autotaxin (ATX) in patients with primary biliary cholangitis (PBC) and PBC-related hepatocellular carcinoma (HCC). Methods: 179 patients with PBC were selected from prospective cohorts of autoimmune liver diseases at the time of first diagnosis of PBC in Department of Hepatology, the Fifth Medical Center of PLA General Hospital, from January 2016 to January 2018, all patients with PBC received UDCA therapy, primary endpoint was event of HCC, the follow-up period was censored at the date of HCC. The relationship between level of ATX and clinical features in patients with PBC and its potential value in predicting disease progression and PBC-related HCC were analyzed. Results: The ATX level in the peripheral blood of patients with PBC was significantly higher than that of alcoholic liver cirrhosis(ALC) (t = 3.278, P = 0.001) and healthy controls(HC) (t = 6.594, P < 0.001), however, when comparing PBC to non-PBC related HCC, no significant difference was found between the groups(t=-0.240, P = 0.811). Consistent with peripheral blood levels, histochemical staining indicated that ATX in the liver of patients with PBC was significantly higher than that of HC (Z=-3.633, P < 0.001) and ALC (Z=-3.283, P < 0.001), and the expression of ATX in PBC with advanced histological stage was significantly higher than PBC with early stage (Z=-2.018, P = 0.034). The baseline ATX level in PBC patients without developing to HCC during follow-up had significant difference to patients with developing to HCC (228.451 ± 124.093 ng/ml vs 301.583 ± 100.512 ng/ml, t = 2.339, P = 0.021). The result in multivariate logistic regression analysis showed that ATX were independent predictors of PBC related HCC(OR 1.245, 95%CI 1.097-1.413). The optimal critical value of peripheral blood ATX level at baseline for predicting HCC was 235.254 ng/ml, with the cut-off value of 0.714 in AUC of the ROC (95% CI was 0.597~ 0.857), sensitivity and specificity were 84.6% and 59.0%, respectively. Conclusion: ATX level was significantly higher in PBC patients over controls, and it's concentration was correlated with UDCA efficacy and fibrosis stage. ATX has potential values in predicting disease progression and PBC-related HCC.

Humans ; Thyroid Cancer, Papillary ; Neck/pathology* ; Lymph Nodes/pathology* ; Thyroid Neoplasms/pathology* ; Lymphoma, T-Cell/pathology*

Humans ; Sarcoma ; NFATC Transcription Factors ; RNA-Binding Protein EWS

Humans ; Goblet Cells ; Stomach Neoplasms ; Carcinoma

Objective: To investigate the clinical, imaging, histological, and molecular features and the differential diagnosis of radiation-associated sarcomas of bone and soft tissue. Methods: Forty-six cases of radiation-associated sarcomas of the bone and soft tissue in Beijing Jishuitan Hospital from January 2010 to January 2022 were retrospectively analyzed; and the imaging, histological features and immunophenotype were examined. Results: There were 33 females and 13 males, aged from 18 to 74 years, with a mean of 52 years. The most common site of radiation-associated sarcomas were the limbs and spine (15 cases), followed by the chest (9 cases). The primary diseases included epithelial tumors (15 breast cancer, 6 cervical cancer, and 5 bowel cancer), hematolymphoid tumors, bone and soft tissue tumors and infectious lesions. The latent period of radiation-associated sarcomas ranged from 2-22 years, with an average of 11.6 years. Histopathologically, the morphology was divergent from the primary tumor. The most common malignant tumor type was undifferentiated sarcoma (22 cases), followed by osteosarcoma (16 cases). The immunophenotype of radiation-related sarcoma was almost the same as the corresponding soft tissue sarcoma. Conclusions: Radiation-induced sarcoma has a wide range of primary tumor types and its imaging, morphology and immunohistochemical features are similar to those of the primary sarcoma of bone and soft tissue. Clinical correlation is often recommended for the differential diagnosis.
Male ; Female ; Humans ; Retrospective Studies ; Sarcoma/pathology* ; Osteosarcoma/diagnostic imaging* ; Soft Tissue Neoplasms/pathology* ; Bone Neoplasms/pathology*

Humans ; Lipoma/pathology* ; Immunohistochemistry

Animals ; Mice ; Colon ; Histological Techniques

Humans ; Anaplastic Lymphoma Kinase ; Histiocytosis, Langerhans-Cell ; Receptor Protein-Tyrosine Kinases ; Lymphoma, Large-Cell, Anaplastic/pathology*

Objective: To explore the application of manual screening collaborated with the Artificial Intelligence TPS-Assisted Cytologic Screening System in urinary exfoliative cytology and its clinical values. Methods: A total of 3 033 urine exfoliated cytology samples were collected at the Henan People's Hospital, Capital Medical University, Beijing, China. Liquid-based thin-layer cytology was prepared. The slides were manually read under the microscope and digitally presented using a scanner. The intelligent identification and analysis were carried out using an artificial intelligence TPS assisted screening system. The Paris Report Classification System of Urinary Exfoliated Cytology 2022 was used as the evaluation standard. Atypical urothelial cells and even higher grade lesions were considered as positive when evaluating the recognition sensitivity, specificity, and diagnostic accuracy of artificial intelligence-assisted screening systems and human-machine collaborative cytologic screening methods in urine exfoliative cytology. Among the collected cases, there were also 1 100 pathological tissue controls. Results: The accuracy, sensitivity and specificity of the AI-assisted cytologic screening system were 77.18%, 90.79% and 69.49%; those of human-machine coordination method were 92.89%, 99.63% and 89.09%, respectively. Compared with the histopathological results, the accuracy, sensitivity and specificity of manual reading were 79.82%, 74.20% and 95.80%, respectively, while those of AI-assisted cytologic screening system were 93.45%, 93.73% and 92.66%, respectively. The accuracy, sensitivity and specificity of human-machine coordination method were 95.36%, 95.21% and 95.80%, respectively. Both cytological and histological controls showed that human-machine coordination review method had higher diagnostic accuracy and sensitivity, and lower false negative rates. Conclusions: The artificial intelligence TPS assisted cytologic screening system has achieved acceptable accuracy in urine exfoliation cytologic screening. The combination of manual screening and artificial intelligence TPS assisted screening system can effectively improve the sensitivity and accuracy of cytologic screening and reduce the risk of misdiagnosis.
Humans ; Artificial Intelligence ; Urothelium/pathology* ; Cytodiagnosis ; Epithelial Cells/pathology* ; Sensitivity and Specificity ; Urologic Neoplasms/urine*