Back to Search
Start Over
STRA6 Expression Serves as a Prognostic Biomarker of Gastric Cancer
- Source :
- Cancer Genomics Proteomics
- Publication Year :
- 2020
- Publisher :
- Anticancer Research USA Inc., 2020.
-
Abstract
- Background Despite advances in our understanding on the pathogenesis of gastric cancer (GC), patients face a poor prognosis. To improve clinical outcomes, effective approaches to diagnosis and treatment employing new diagnostic biomarkers are required to achieve early detection and predict recurrence and prognosis. Materials and methods Transcriptome analysis was conducted using surgically resected gastric tissues from four patients with metastatic GC. A total of 228 pairs of primary GC tissues and corresponding normal adjacent tissues were subjected to mRNA expression analysis. To validate our findings, we accessed an integrated microarray dataset and RNA sequencing data of GC cell lines. Results We identified stimulated by retinoic acid 6 (STRA6) as a differentially overexpressed gene, which encodes a transmembrane protein that mediates the cellular uptake of retinol. To investigate how STRA6 contributes to the malignant phenotype of GC cells, we mined public datasets and found the mRNA encoding retinol binding protein 1 (RBP1), which is associated with retinoid metabolism, was co-expressed with STRA6. Furthermore, STRA6 mRNA levels were significantly higher in GC tissues compared to the corresponding noncancerous adjacent tissues of 228 surgically resected gastric tissue samples. Moreover, patients with high levels of STRA6 mRNA experienced significantly shorter disease-free survival and overall survival. Multivariate analysis revealed that high levels of STRA6 served as a significant risk factor. Conclusion Patients with high levels of STRA6 mRNA experienced significantly worse clinical outcomes, indicating that STRA6 may serve as a diagnostic and prognostic biomarker of GC.
- Subjects :
- Male
Cancer Research
Microarray
Retinoic acid
Datasets as Topic
Biochemistry
Disease-Free Survival
Cohort Studies
Transcriptome
03 medical and health sciences
chemistry.chemical_compound
0302 clinical medicine
Gastrectomy
Risk Factors
Stomach Neoplasms
Cell Line, Tumor
Biomarkers, Tumor
Genetics
Humans
Medicine
RNA-Seq
Molecular Biology
Aged
Oligonucleotide Array Sequence Analysis
Messenger RNA
business.industry
Stomach
Retinol
Membrane Proteins
Cancer
Middle Aged
Prognosis
medicine.disease
Biomarker (cell)
Survival Rate
chemistry
030220 oncology & carcinogenesis
Cancer research
Female
business
RBP1
Research Article
Subjects
Details
- ISSN :
- 17906245 and 11096535
- Volume :
- 17
- Database :
- OpenAIRE
- Journal :
- Cancer Genomics - Proteomics
- Accession number :
- edsair.doi.dedup.....55991ced56194a083315c19a9b05506a
- Full Text :
- https://doi.org/10.21873/cgp.20207