Background Since SARS‐CoV‐2 infection was first identified in December 2019, the novel coronavirus‐induced pneumonia COVID‐19 spread rapidly and triggered a global pandemic. Recent bioinformatics evidence suggests that angiotensin converting enzyme 2—the main cell entry target of SARS‐CoV‐2—is predominantly enriched in spermatogonia, Leydig and Sertoli cells, which suggests the potential vulnerability of the male reproductive system to SARS‐CoV‐2 infection. Objectives To identify SARS‐CoV‐2 RNA in seminal plasma and to determine semen characteristics from male patients in the acute and recovery phases of infection. Methods From February 26 to April 2, 2020, 23 male patients with COVID‐19 were recruited. The clinical characteristics, laboratory findings and chest computed tomography scans of all patients were recorded in detail. We also investigated semen characteristics and the viral RNA load in semen from these patients in the acute and recovery phases of SARS‐CoV‐2 infection using approved methods. Results The age range of the 23 patients was 20–62 years. All patients tested negative for SARS‐CoV‐2 RNA in semen specimens. Among them, the virus had been cleared in 11 patients, as they tested negative. The remaining 12 patients tested negative for SARS‐CoV‐2 RNA in semen samples, but were positive in sputum and fecal specimens. The median interval from diagnosis to providing semen samples was 32 days, when total sperm counts, total motile sperm counts and sperm morphology of the patients were within normal ranges. Discussion and Conclusion In this cohort of patients with a recent infection or recovering from COVID‐19, there was no SARS‐CoV‐2 RNA detected in semen samples, which indicates the unlikely possibility of sexual transmission through semen at about 1 month after first detection.

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Prostate cancer (PCa) is the second most frequently diagnosed male cancer, and no treatments exist for effective inhibition of metastatic spread of PCa. Long non-coding RNA (lncRNA) plays key roles in pathogenesis and development of various cancers through competing with endogenous RNAs (ceRNAs), but at present research on lncRNA functions in PCa is still very limited. Hence, this aspect was investigated using bioinformatics methods. Firstly, the functional lncRNA-mediated ceRNA network associated with PCa was constructed by the multi-step computational approach. Then the cytoscape software was used to analyze the node degree and betweenness centrality (BC) value of lncRNAs and mRNAs in the interaction. Finally, the lncRNAs were screened in the central region of the network by the node degree and BC value, and the functional enrichment of mRNAs was evaluated with the Gene Ontology (GO) database. In our results, LINC00476, MALAT1, SNHG11, LINC00649, and ILF3-AS1 are the lncRNAs which have the most nodes and higher BC values and considered as prognostic markers in PCa. GO analysis suggested that the function of screened lncRNAs was obviously focused on intracellular receptor signaling pathway, which indicated these lncRNAs might be potential biomarkers for diagnosis, evaluation and gene-targeted therapy of PCa.