We aimed to build a deep learning-based pathomics model to predict the early recurrence of non-muscle-infiltrating bladder cancer (NMIBC) in this work. A total of 147 patients from Xuzhou Central Hospital were enrolled as the training cohort, and 63 patients from Suqian Affiliated Hospital of Xuzhou Medical University were enrolled as the test cohort. Based on two consecutive phases of patch level prediction and WSI-level predictione, we built a pathomics model, with the initial model developed in the training cohort and subjected to transfer learning, and then the test cohort was validated for generalization.
View Article and Find Full Text PDFBackground: Recurrent bladder cancer is the most common type of urinary tract malignancy; nevertheless, the mechanistic basis for its recurrence is uncertain. Innovative technologies such as single-cell transcriptomics and spatial transcriptomics (ST) offer new avenues for studying recurrent tumour progression at the single-cell level while preserving spatial data.
Method: This study integrated single-cell RNA (scRNA) sequencing and ST profiling to examine the tumour microenvironment (TME) of six bladder cancer tissues (three from primary tumours and three from recurrent tumours).
Background/aims: Nephrolithiasis plagues a great number of patients all over the world. Increasing evidence shows that the extracellular signal-regulated kinase (ERK) signaling pathway and renal tubular epithelial cell (RTEC) dysfunction and attrition are central to the pathogenesis of kidney diseases. Mucin 4 (MUC4) is reported as an activator of ERK signaling pathway in epithelial cells.
View Article and Find Full Text PDFThe aim of the present study was to investigate the expression of B7-H1 and B7-H4 in ovarian neoplasm tissues and to examine their clinical relevance. A total of 112 ovarian biopsies were collected from patients with epithelial ovarian cancer (EOC) and 10 were taken from ovarian benign neoplasms. The samples were processed in paraffin tissue chips, and subjected to immunohistochemical staining and analysis.
View Article and Find Full Text PDFIn the present study, we evaluated expressions of estrogen receptor (ER), progestin receptor (PR), human epidermal growth factor receptor-2 (HER-2), cyclooxygenase-2 (COX-2), and vascular endothelial growth factor (VEGF) in primary and relapsed/metastatic breast cancers to elucidate the clinical significance of these markers. The markers were evaluated by immunohistochemistry in specimens of 50 patients with primary or metastatic breast cancer. Positive rates of ER were significantly (p = 0.
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