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.
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.
Chemotherapy is widely used in cancers such as mesothelioma in combination with immune checkpoint blockade (ICB). However, the mechanism and function are still unclear. This study aimed to identify the critical genes and signaling pathways by analyzing the RNA-seq data. The GSE188481 was created by the Illumina HiSeq 2000 (Mus musculus). The gene enrichment analysis indicated that the Epstein−Barr virus infection and cell adhesion molecules are the major signaling pathways during the treatment of ICB drugs. Further, we identified a variety of interactive genes including TNF, PTPRC, CD8A, ITGAM, CD86, ITGAX, IFNG, STAT3, LCP2, and STAT1. This study may provide novel knowledge for cancer immunotherapy.
Stem cells have long been identified as a key therapeutic target in leukemia. However, the mechanisms of leukemia stem cells affecting cancer progression are still unknown. Here, our objective is to identify the key molecules and signaling pathways by analyzing the RNA-seq data. The GSE120828 was created by the Illumina HiSeq 2000 (Mus musculus). The KEGG and GO enrichment analyses indicated that cytokine−cytokine receptor interaction and transcriptional misregulation in cancer were the key biological processes during the knockout of Plcg1 in leukemia. Moreover, we figured out a variety of interactive genes including IL2, MMP9, ITGAX, ITGB3, LGALS3, FYN, PLEK, ARG1, GATA3, and HPGDS. Our study may provide novel knowledge in the study 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.
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