Potential Therapeutic and Prognostic Values of LSM Family Genes in Breast Cancer.
Hoang Dang Khoa TaWei-Jan WangNam Nhut PhanNu Thuy An TonGangga AnuragaSu-Chi KuYung-Fu WuChih-Yang WangKuen-Haur LeePublished in: Cancers (2021)
In recent decades, breast cancer (BRCA) has become one of the most common diseases worldwide. Understanding crucial genes and their signaling pathways remain an enormous challenge in evaluating the prognosis and possible therapeutics. The "Like-Smith" (LSM) family is known as protein-coding genes, and its member play pivotal roles in the progression of several malignancies, although their roles in BRCA are less clear. To discover biological processes associated with LSM family genes in BRCA development, high-throughput techniques were applied to clarify expression levels of LSMs in The Cancer Genome Atlas (TCGA)-BRCA dataset, which was integrated with the cBioPortal database. Furthermore, we investigated prognostic values of LSM family genes in BCRA patients using the Kaplan-Meier database. Among genes of this family, LSM4 expression levels were highly associated with poor prognostic outcomes with a hazard ratio of 1.35 (95% confidence interval 1.21-1.51, p for trend = 3.4 × 10-7). MetaCore and GlueGo analyses were also conducted to examine transcript expression signatures of LSM family members and their coexpressed genes, together with their associated signaling pathways, such as "Cell cycle role of APC in cell cycle regulation" and "Immune response IL-15 signaling via MAPK and PI3K cascade" in BRCA. Results showed that LSM family members, specifically LSM4, were significantly correlated with oncogenesis in BRCA patients. In summary, our results suggested that LSM4 could be a prospective prognosticator of BRCA.
Keyphrases
- cell cycle
- genome wide
- end stage renal disease
- bioinformatics analysis
- breast cancer risk
- poor prognosis
- signaling pathway
- cell proliferation
- genome wide identification
- immune response
- high throughput
- ejection fraction
- newly diagnosed
- chronic kidney disease
- dna methylation
- genome wide analysis
- binding protein
- prognostic factors
- emergency department
- peritoneal dialysis
- gene expression
- oxidative stress
- pi k akt
- small molecule
- long non coding rna
- transcription factor
- weight loss
- adverse drug