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

Echinococcosis is a common zoonotic disease in livestock; the type with the highest incidence is cystic echinococcosis (CE). In clinical management, patients with CE of the liver in which the cyst wall is calcified have been found to have better prognoses than those without calcification. In this study, we collected calcified and uncalcified cyst wall tissue from patients with hepatic CE and observed significant changes in the expression of 2336 messenger ribonucleic acids (mRNAs), 178 long noncoding RNAs (lncRNAs), 210 microRNAs (miRNAs), and 33 circular RNAs (circRNAs) using high-throughput sequencing (HTS). Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses of differentially expressed RNAs (DERNAs: DEmRNAs, DElncRNAs, DEmiRNAs, and DEcircRNAs) were performed to explore these RNAs’ potential biological functions and signaling pathways. Ultimately, the results of hematoxylin and eosin (H&E) and terminal deoxynucleotidyl transferase deoxyuridine triphosphate (dUTP) nick end labeling (TUNEL) staining confirmed the correlation between calcification and apoptosis of the cyst wall. In summary, this study was an initial exploration of the molecular-biological mechanism underlying spontaneous calcification of the hydatid cyst wall, and it provides a theoretical basis for exploring new targets for drug treatment in CE.

After the implementation of neoadjuvant chemoradiotherapy and total mesorectal excision, lateral local recurrence becomes the major type of local recurrence after surgery in rectal cancer. Most lateral recurrence develops from enlarged lateral lymph nodes on an initial imaging study. Evidence is accumulating to support the combined use of neoadjuvant chemoradiotherapy and lateral lymph node dissection. The accuracy of diagnosing lateral lymph node metastasis remains poor. The size of lateral lymph nodes is still the most commonly used variable with the most consistent accuracy and the cut-off value ranging from 5 to 8 mm on short axis. The morphological features, differentiation of the primary tumor, circumferential margin, extramural venous invasion, and response to chemoradiotherapy are among other risk factors to predict lateral lymph node metastasis. Planning multiple disciplinary treatment strategies for patients with suspected nodes must consider both the risk of local recurrence and distant metastasis. Total neoadjuvant chemoradiotherapy is the most promising regimen for patients with a high risk of recurrence. Simultaneous Integrated Boost Intensity-Modulated Radiation Therapy seemingly improves the local control of positive lateral nodes. However, its impact on the safety of surgery in patients with no response to the treatment or regrowth of lateral nodes remains unclear. For patients with smaller nodes below the cut-off value or shrunken nodes after treatment, a close follow-up strategy must be performed to detect the recurrence early and perform a salvage surgery. For patients with stratified lateral lymph node metastasis risks, plans containing different multiple disciplinary treatments must be carefully designed for long-term survival and better quality of life.
Humans ; Lymphatic Metastasis/pathology* ; Quality of Life ; Neoplasm Staging ; Retrospective Studies ; Lymph Nodes/pathology* ; Rectal Neoplasms/surgery* ; Lymph Node Excision/methods* ; Neoadjuvant Therapy/methods* ; Neoplasm Recurrence, Local/surgery*

Humans ; Immunoglobulin G ; Lymphadenopathy ; Diagnosis, Differential

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

Animals ; Mice ; Colon ; Histological Techniques

Objective: To investigate the clinicopathological characteristics of occupational lung diseases, to reduce the missed diagnoses and misdiagnoses of the diseases and to help standardize the diagnosis and treatment of these patients. Methods: A total of 4 813 lung biopsy specimens (including 1 935 consultation cases) collected at the Department of Pathology, Nanjing Drum Tower Hospital, Nanjing, China from January 1st, 2017 to December 31th, 2019 were retrospectively analyzed. Among them, 126 cases of occupational lung diseases were confirmed with clinical-radiological-pathological diagnosis. Special staining, PCR and scanning electron microscopy were also used to rule out the major differential diagnoses. Results: The 126 patients with occupational lung diseases included 102 males and 24 females. All of them had a history of exposure to occupational risk factor(s). Morphologically, 68.3% (86/126) of the cases mainly showed pulmonary fibrotic nodules, dust plaque formation or carbon end deposition in pulmonary parenchyma. 16.7% (21/126) of the cases mainly showed welding smoke particle deposition in the alveolar cavity and lung interstitium while 15.1% (19/126) of the cases showed granulomas with fibrous tissue hyperplasia, alveolar protein deposition or giant cell interstitial pneumonia. The qualitative and semi-quantitative analyses of residual dust components in the lung under scanning electron microscope were helpful for the diagnosis of welder's pneumoconiosis and hard metal lung disease. Conclusions: The morphological characteristics of lung biopsy tissue are important reference basis for the clinicopathological diagnosis and differential diagnosis of occupational lung diseases. Recognizing the characteristic morphology and proper use of auxiliary examination are the key to an accurate diagnosis of occupational lung diseases on biopsy specimens.
Male ; Female ; Humans ; Retrospective Studies ; Pneumoconiosis/pathology* ; Lung/pathology* ; Dust ; Pneumonia, Viral/pathology* ; Biopsy

Humans ; Glomerulonephritis, Membranoproliferative/pathology* ; Fibronectins

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*