Both genes and lncRNAs can be used as biomarkers of prostate cancer by using high throughput sequencing data.

OBJECTIVE: To investigate prostate cancer-related genes and lncRNAs by using a high throughput sequencing dataset. MATERIALS AND METHODS: RNA-seq data were obtained from the sequencing read archive database, including both benign and malignant tumor samples. After aligning the RNA-seq reads to human genome reference, gene expression profile as well as lncRNA ex - pression profile was obtained. Next, Student's t-test was used to screen both the differentially expressed genes (DEGs) and lncRNAs (DELs) between benign and malignant samples. Final - ly, Goseq was used to conduct the functional annotation of DEGs. RESULTS: A total of 7112 DEGs were screened, such as ZNF512B, UCKL1, STMN3, GMEB2, and PTK6. The top 10 enriched func - tions of DEGs were mainly related to organism development, including multi-cellular develop - ment, system development and anatomical structure development. Also, we discovered 26 differentially expressed lncRNAs. CONCLUSIONS: The analysis used in this study is reliable in screening prostate cancer markers including both genes and lncRNAs by using RNA-seq data, which provides new in - sight into the understanding of molecular mechanism of prostate cancer.