A dual-aptamer electrochemical biosensor based on flower-like nanozymes and DNA nanostructures was fabricated for detection of breast cancer biomarker HER2.

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Background Osteosarcoma is the most common bone tumor that occurs in children. Methods To identify co-expression modules and pathways correlated with osteosarcoma and its clinical characteristics, we performed weighted gene co-expression network analysis (WGCNA) on RNA-seq data of osteosarcoma with 52 samples. Then we performed pathway enrichment analysis on genes from significant modules. Results A total of 5471 genes were included in WGCNA, and 16 modules were identified. Module-trait analysis identified that a module involved in microtubule bundle formation, drug metabolism-cytochrome P450, and IL-17 signaling pathway was negatively correlated with osteosarcoma and positively correlated with metastasis; a module involved in DNA replication was positively correlated with osteosarcoma; a module involved in cell junction was positively correlated with metastasis; and a module involved in heparin binding negatively correlated with osteosarcoma. Moreover, expression levels in four of the top ten differentially expressed genes were validated in another independent dataset. Conclusions Our analysis might provide insight for molecular mechanisms of osteosarcoma. Electronic supplementary material The online version of this article (10.1186/s12957-019-1587-7) contains supplementary material, which is available to authorized users.

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