Potential therapeutic and prognostic values of lsm family genes in breast cancer

Hoang Dang Khoa Ta, Wei Jan Wang, Nam Nhut Phan, Nu Thuy An Ton, Gangga Anuraga, Su Chi Ku, Yung Fu Wu, Chih Yang Wang, Kuen Haur Lee

Research output: Contribution to journalArticlepeer-review

24 Citations (Scopus)


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 coex-pressed 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.

Original languageEnglish
Article number4902
Issue number19
Publication statusPublished - Oct 1 2021


  • Biomarker
  • Breast cancer
  • LSM1
  • LSM14B
  • LSM2
  • LSM3
  • LSM4
  • LSM7

ASJC Scopus subject areas

  • Oncology
  • Cancer Research


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