Fluoxetine has shown anti-cancer responses in non-small cell lung cancer in vitro. However, the anticancer effect and mechanism of fluoxetine still need to be elucidated. In this study, we aim to figure out the significant molecules and biological processes by analyzing the RNA-seq data from the GEO database. The GSE200209 was created by the Illumina HiSeq 4000 (Homo sapiens). By analyzing the KEGG and GO enrichments, we found that the Lysosome and Autophagy are the major signaling pathways in the fluoxetine treated lung cancer cells. We further identified the top ten interactive molecules including CDK1, CCNB1, MAD2L1, AURKB, MCM3, MCM, CDC45, CDC20, RFC4, and CCNB2. This study may guide the treatment of lung cancer by using fluoxetine.

The RHO guanine exchange factor ARHGEF2 has exchange activity toward RHOA, which is essential for the development of cancers such as liver cancer. However, the potential functions and mechanisms of ARHGEF2 in the progression of liver cancer are largely unknown. In this study, we identified the transcriptional landscapes of hepatocellular carcinoma cells treated with ARHGEF2 shRNAs. The gene enrichment assays such as KEGG and GO were used to further analyze the potential signaling pathways. Moreover, the PPI network and Reactome map were used to further identify the biological processes. The results showed that Alzheimer's disease disease (AD) and Cushing syndrome (CS) are the major signaling pathways involved in the ARHGEF2-shRNAs treated hepatocellular carcinoma cells. We identified the top ten interactive genes including ICAM1, APOE, LDLR, NAT10, HSPA1A, EDN1, CACNA1C, KCNMA1, SNAI1, and ELN. Our study may provide novel mechanisms for the treatment of liver cancer by inhibiting ARHGEF2.

IL-23R has been found to contribute to susceptibility to cancer such as leukemia. However, the mechanism of IL23R in Regulatory T cells (Tregs) of cancers is still unknown. Here, our objective is to identify the key molecules, biological processes, and signaling pathways by analyzing the RNA-seq data. The GSE197287 was created by the Illumina HiSeq 4000 (Mus musculus). The gene enrichment analyses showed that autophagy and yersinia infection are the main signaling pathways in the Tregs with the knockout of IL23R. In addition, we identified the top ten interactive molecules including CDK1, POLR2A, FN1, MAPK8, CUL3, BARD1, TPX2, TRAF6, DTL, and MCM5. This study may benefit the clinical work of the treatment of leukemia.

Ameloblastoma is a locally aggressive odontogenic neoplasm that occurs in the vicinity of the mandibular molars or ramus. However, the mechanisms of ameloblastoma are still unclear. Here, our objective is to identify the key genes and signaling pathways by analyzing the RNA-seq data. The GSE186489 was created by the Illumina HiSeq 2500 (Homo sapiens). The gene enrichments indicated that the Chemical carcinogenesis − reactive oxygen species and prion disease are the key related signaling pathways in the development of ameloblastoma. Moreover, we determined several interactive genes including KIF11, BUB1, CDCA8, CDC20, ASPM, TOP2A, CCNB1, AURKA, TTK, and NCAPG. Our study may shed insights on the mechanism of ameloblastoma.