Home About us Editorial board Ahead of print Current issue Search Archives Submit article Instructions Subscribe Contacts Login 
ORIGINAL ARTICLE
Year : 2020  |  Volume : 16  |  Issue : 5  |  Page : 1157-1164

Prognostic value and functional bioinformatic analysis of spindle- and kinetochore-associated protein 1 in stage IIA esophageal squamous cell carcinoma


1 Department of Thoracic Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
2 Department of Gastroenterology, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China

Correspondence Address:
Zhongmin Peng
Department of Thoracic Surgery, Shandong Provincial Hospital Affiliated to Shandong First Medical University, 324 Jing 5 Road, Jinan, Shandong 250021
China
Login to access the Email id

Source of Support: None, Conflict of Interest: None


DOI: 10.4103/jcrt.JCRT_953_20

Rights and Permissions

Background: As one of the most common malignant tumors of the digestive tract, esophageal squamous cell carcinoma (ESCC) is an advanced metastatic cancer with an extremely high mortality rate and the highest prevalence rate in China. Spindle- and kinetochore-associated protein 1 (SKA1), an essential member involved in chromosome separation during mitosis, has been indicated as a potential biomarker in the pathogenesis and development of various types of malignant tumors; however, the exact functions of SKA1 in ESCC are still unclear. Patients and Methods: SKA1 expression was explored in stage IIA ESCC and corresponding healthy esophageal mucosa tissues through immunohistochemistry and reverse transcription–quantitative polymerase chain reaction and was further validated using The Cancer Genome Atlas (TCGA) database of the online tool UALCAN. Then, the clinicopathological correlations of SKA1 were analyzed based on the follow-up data. Furthermore, using the online tool LinkedOmics, the correlation test, gene ontology (GO), and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis of SKA1 were analyzed using high-throughput sequencing data of ESCC patients from TCGA dataset. Results: The expression level of SKA1 was markedly upregulated in ESCC tissues. Upregulation of SKA1 significantly correlated with higher pathological T stage (P = 0.003) and poorer overall survival (P = 0.013). GO and pathway enrichment analyses of SKA1 in ESCC revealed that SKA1 was involved in a number of classical cell cycle-related pathways that contribute to special biological processes in tumorigenesis and development of ESCC. Conclusion: The results of this study demonstrate that SKA1 may act as a prognostic biomarker for stage IIA ESCC. Combined with the bioinformatic analysis, SKA1 could potentially serve as a therapeutic target for ESCC. Conclusion: The results coming from the present study demonstrated that SKA1 may act as a prognostic biomarker for stage IIA ESCC. Combined with the bioinformatic analysis, SKA1 could serve as a potential therapeutic target for ESCC.


[FULL TEXT] [PDF]*
Print this article     Email this article
 Next article
 Previous article
 Table of Contents

 Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
 Citation Manager
 Access Statistics
 Reader Comments
 Email Alert *
 Add to My List *
 * Requires registration (Free)
 

 Article Access Statistics
    Viewed152    
    Printed2    
    Emailed0    
    PDF Downloaded5    
    Comments [Add]    

Recommend this journal