Background Colon cancer is one of the deadliest tumors worldwide. Stromal cells and immune cells play important roles in cancer biology and microenvironment across different types of cancer. This study aimed to identify the prognostic value of stromal/immune cell-associated genes for colon cancer in The Cancer Genome Atlas (TCGA) database using bioinformatic technology. Methods The gene expression data and corresponding clinical information of colon cancer were downloaded from TCGA database. Stromal and immune scores were estimated based on the ESTIMATE algorithm. Sanger software was used to identify the differentially expressed genes (DEGs) and prognostic DEGs based on stromal and immune scores. External validation of prognostic biomarkers was conducted in Gene Expression Omnibus (GEO) database. Gene ontology (GO) analysis, pathway enrichment analysis, and gene set enrichment analysis (GSEA) were used for functional analysis. STRING and Cytoscape were used to assess the protein-protein interaction (PPI) network and screen hub genes. Quantitative real-time PCR (qRT-PCR) was used to validate the expression of hub genes in clinical tissues. Synaptosomal-associated protein 25 (SNAP25) was selected for analyzing its correlations with tumor-immune system in the TISIDB database. Results Worse overall survivals of colon cancer patients were found in high stromal score group (2963 vs. 1930 days, log-rank test P = 0.038) and high immune score group (2894 vs. 2230 days, log-rank test P = 0.076). 563 up-regulated and 9 down-regulated genes were identified as stromal-immune score-related DEGs. 70 up-regulated DEGs associated with poor outcomes were identified by COX proportional hazard regression model, and 15 hub genes were selected later. Then, we verified aquaporin 4 (AQP4) and SNAP25 as prognostic biomarkers in GEO database. qRT-PCR results revealed that AQP4 and SNAP25 were significantly elevated in colon cancer tissues compared with adjacent normal tissues (P = 0.003, 0.001). GSEA and TISIDB suggested that SNAP25 involved in cancer-related signaling pathway, immunity and metabolism progresses. Conclusion SNAP25 is a microenvironment-related and immune-related gene that can predict poor outcomes in colon cancer.

Objectives Ureaplasma urealyticum (UU), Chlamydia trachomatis (CT), and Neisseria gonorrhoeae (NG) are highly prevalent worldwide and may lead to some genital diseases. The objective of this large‐scale study was to estimate the prevalence characteristics of UU, CT, and NG among women in Taizhou, Zhejiang Province, China. Methods A total of 13 303 women who visited the gynecologic outpatient service of Taizhou First People's Hospital in Taizhou from 2013 to 2018 were analyzed. The testing of UU, CT, and NG was performed on the collected vaginal swabs using real‐time fluorescence quantitative polymerase chain reaction (RT‐PCR) method. Results The overall infection rates of UU, CT, and NG were 62.04%, 10.20%, and 4.09% in the Taizhou‐based population, respectively. The age‐specific prevalence showed that younger women (age <25 years) were the preferred period for the positive detection of UU or CT, while elder women (age ≥40 years) had the highest prevalence of NG. In addition, the UU‐CT co‐infection pattern (7.32%) predominated in the study population, and CT was significantly associated with UU and NG. Conclusions Our novel data demonstrated that UU, CT, and NG infection are prevalent among women in Taizhou, and comprehensive UU, CT, and NG screening guidelines and treatment policies for this population are warranted.

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