Background: Colon adenocarcinoma (COAD) is one of the most common malignancies. To identify candidate genes that may be involved in colon adenocarcinoma development and progression, weighted gene co-expression network analysis (WGCNA) was used to construct gene co-expression networks to explore associations between gene sets and clinical features and to identify candidate biomarkers. Moreover, we intend to make a preliminary exploration on it. Methods: Gene expression profiles and clinical information were collected from The Cancer Genome Atlas COAD database for analysis. The gene expression profiles of GSE106582 and GSE110224 were screened from the Gene Expression Omnibus database for verification. WGCNA analysis, functional pathway enrichment analysis, and prognosis analysis were performed on three databases. Target genes were selected from the key genes for experimental verification and research. Results: Key genes obtained by WGCNA analysis were mainly enriched in key functions and pathways such as drug metabolism, steroid hormones, and retinol metabolism. A total of four prognostic genes were screened out: SELENBP1, NAT2, VSIG2, and CES2. VSIG2 was selected as the target gene for experimental verification, and its encoded protein was found to be mainly expressed in immune cells. Its expression was positively correlated with immune infiltration. Conclusions: VSIG2 was shown to be associated with immune invasion and antigen presentation in COAD, suggesting it plays an important role in COAD development and progression. It could be used as a potential biomarker or therapeutic target for COAD.

Background: Colon adenocarcinoma (COAD) is one of the most common malignancies worldwide. Although a large number of studies have elucidated the aetiology of colorectal cancer, the exact mechanism of colorectal cancer development remains to be determined.To identify key modules and prognostic genes that may be involved in the occurrence and development of COAD, weighted gene coexpression network analysis (WGCNA) and differential expression analysis were performed on datasets GSE41657 and GSE74602 from the Gene Expression Omnibus (GEO) database to screen for prognostic differentially expressed genes. Gene expression profiles and clinical information were collected from The Cancer Genome Atlas (TCGA) database for verification.Results: Through WGCNA and DEGs analysis, 439 genes in key functional modules were obtained, and 26 prognostic related genes were finally obtained through prognostic analysis: (1) We screened 5 genes（RPP40, DUSP18, PPRC1, MFSD11 and PDCD11） that have not been studied in COAD.（2）We obtained the most critical module in the occurrence and development of colon cancer and obtained one prognosis-related gene, NUP85, from the most critical module.The relationship between it and tumor immune microenvironment was verified.（3） A prognostic model comprising four coexpressed differential genes was constructed; TIMP1, PMM2, E2F3 and MORC2 were selected as the key prognosis-related genes.Conclusions: （1）As new biomarkers，prognostic genes RPP40, DUSP18, PPRC1, MFSD11 and PDCD11 may be potential therapeutic targets for COAD, and provide new ideas for future research on the mechanism of COAD. （2）NUP85 may be an immune-related gene which was negatively correlated with CD4+ T cell and M2 macrophagesthat plays an important role in inhibiting the occurrence and development of colorectal adenocarcinoma. （3）A Cox proportional risk model based on gene expression can be used to predict the prognosis and survival time of patients with colon cancer.

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Background Leiomyoma of the seminal vesicle is a rare leiomyoma characterized by the formation of benign leiomyomatous tissue within the seminal vesicle. Although histologically benign, excessive size can lead to urinary system disease if left untreated. Herein, we report a case of a seminal vesicle epithelioid leiomyoma. Case presentation A 36-year-old Chinese man sought medical attention at our hospital for urination pain and hemospermia. CT showed a 5.3 cm × 5.0 cm seminal vesicle mass with a mixed density in the right seminal vesicle. The gross specimen showed light yellow, gray, and white tissues, with softness and hemorrhage in some places. Histologically, it showed classic spindle cell proliferation, with spindle cells arranged in fascicles, and mitosis was rare. Immunohistochemistry showed frequent expression of smooth muscle markers, such as calponin, SMA, and desmin. A diagnosis of epithelioid leiomyoma was proposed according to the immunohistochemical findings and morphology. The patient did not receive adjuvant therapy. There was no evidence of tumor recurrence in the 10 months after surgery. Conclusions We report the first case of epithelioid leiomyoma in the seminal vesicle. This disease should be included in the differential diagnostic list of seminal vesicle tumors with epithelioid morphology.