Transcriptome analysis reveals SALL4 as a prognostic key gene in gastric adenocarcinoma

被引:5
作者
Sarma, Ranjan Jyoti [1 ]
Subbarayan, Sarathbabu [1 ]
Zohmingthanga, John [2 ]
Chenkual, Saia [3 ]
Zomuana, Thomas [3 ]
Lalruatfela, Sailo Tlau [3 ]
Pautu, Jeremy L. [4 ]
Maitra, Arindam [5 ]
Kumar, Nachimuthu Senthil [1 ]
机构
[1] Mizoram Univ, Dept Biotechnol, Aizawl 796004, Mizoram, India
[2] Zoram Med Coll, Falkawn 796005, Mizoram, India
[3] Civil Hosp Aizawl, Dept Surg, Aizawl 796001, Mizoram, India
[4] Mizoram State Canc Inst, Dept Med Oncol, Aizawl 796017, Mizoram, India
[5] Natl Inst Biomed Genom, Kalyani 741251, W Bengal, India
关键词
Stomach adenocarcinoma; RNA-Seq; Differentially expressed genes; Poor survival; Biomarker; CANCER;
D O I
10.1186/s43046-022-00108-5
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: Stomach adenocarcinoma (STAD) dominates 80-90% of gastric cancer (GC). Over the years, it has been realized that the identification of the genes responsible for gastric carcinogenesis is essential to understand the biomarker discovery. Methods: This study aims to identify candidate genes for biomarker discovery in STAD. RNA-Seq was performed on three paired tumor-normal and one unpaired tumor samples from four GC patients and investigated for differentially expressed genes (DEGs) using DESeq2. Gene set enrichment analysis were performed. The DEGs were compared with two STAD microarray datasets available on Gene Expression Omnibus (GEO) database. Survival study (OS) were performed using KM-Plotter on the common genes between all the datasets. Results: Totally, 148 DEGs were identified, wherein 55 genes were upregulated and 93 genes were downregulated with vertical bar log2foldchange vertical bar > 1 and Benjamini-Hochberg (BH) Adjusted P value < 0.01. Cell adhesion molecule (CAM) Pathway was found to be the most significant among the upregulated genes. Gastric acid secretion and mineral absorption pathways were the most significant pathways among the downregulated genes. Comparison with two GEO datasets followed by OS analysis revealed two upregulating genes, APOC1 and SALL4 with prognostic significance. Conclusion: Upregulation of APOC1 is associated with marginal overall survival (OS) and SALL4 over-expression was associated with the poor OS using KM-Plotter during 5 years data period. Our study suggests that SALL4 could be a promising biomarker candidate in STAD.
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页数:8
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