High level of SMN1 in esophageal cancer predicts poor prognosis: An analysis based on TCGA data

Authors

  • Shan HUANG Department of oncology, the seventh affiliated hospital of Sun Yat-sen University, Shenzhen, Guangdong, 510080, P.R. China
  • Xuehua CHEN Department of oncology, the seventh affiliated hospital of Sun Yat-sen University, Shenzhen, Guangdong, 510080, P.R. China
  • Yaqun WANG Department of hematopathology, the seventh affiliated hospital of Sun Yat-sen University, Shenzhen, Guangdong, 510080, P.R. China
  • Mengyuan ZHU Department of oncology, the seventh affiliated hospital of Sun Yat-sen University, Shenzhen, Guangdong, 510080, P.R. China
  • Weichao LI Department of infectious disease , the seventh affiliated hospital of Sun Yat-sen University, Shenzhen, Guangdong, 510080, P.R. China
  • Xiaofen PAN Department of oncology, the seventh affiliated hospital of Sun Yat-sen University, Shenzhen, Guangdong, 510080, P.R. China

DOI:

https://doi.org/10.6913/mrhk.040302

Keywords:

esophageal cancer, survival motor neurone gene, prognosis, biomarker, Gene Set Enrichment Analysis

Abstract

The important of survival motor neurone gene (SMN) was first realized when deletions or mutations in the SMN1 gene were found to cause Spinal Muscular Atrophy(SMA).But the relationship of SMN1 and cancers was not clear. In our study, We evaluated the role of SMN1 in esophageal cancer using publicly available data from The Cancer Genome Atlas (TCGA). we found that high level of SMN1 in esophageal cancer predicted poor prognosis. SMN1 expression may be a potential prognostic molecular marker of poor survival in esophageal cancer, Moreover, proteasome pathway and phosphatidylinositol signaling system regulated by SMN1 in esophageal cancer.

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Published

2022-09-30

How to Cite

HUANG, S., CHEN, X., WANG, Y., ZHU, M., LI, W., & PAN, X. (2022). High level of SMN1 in esophageal cancer predicts poor prognosis: An analysis based on TCGA data. 开元Medical-Research, 4(3). https://doi.org/10.6913/mrhk.040302