MiRNA-21-5p and MiRNA-125-5p Serve as Biomarkers for Diagnosis and Prognosis of Gastric Cancer
Zhang, X.; Xiang, Y.; Wang, J.
Show abstract
BackgroundGastric cancer is one of the most common diseases worldwide. MicroRNAs (miRNAs) are small non-coding RNAs, typically 19-25 nucleotides in length, which represent potential targets for therapeutic intervention. Methods and ResultsIn this study, we performed a data mining analysis for gastric cancer (GC) by integrating differentially expressed genes obtained from the Gene Expression Omnibus (GEO) database with data from The Cancer Genome Atlas (TCGA) database. We compared the expression levels of miRNA-125-5p and miRNA-21-5p in cancer cells and GES-1 cells. Our analysis revealed up-regulation of these two miRNAs in both GEO and TCGA datasets, which was further validated by quantitative polymerase chain reaction (qPCR). Additionally, survival analysis, risk score analysis, and downstream analyses, including functional enrichment analysis, target gene prediction, and protein-protein interaction analysis, were conducted. ConclusionThe expression levels of miRNA-125-5p and miRNA-21-5p are upregulated in gastric cancer cells, which contribute to the diagnosis of gastric cancer and serve as novel biomarkers.
Matching journals
The top 10 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Identification of cuproptosis and ferroptosis-related subtypes and development of a prognostic signature in colon cancer 96%
- Bioinformatics analysis of immune-related prognostic genes and immunotherapy in renal clear cell carcinoma 96%
- Research of the mechanism on miRNA193 in exosomes promotes cisplatin resistance in esophageal cancer cells 96%
Similar papers in this journal
- A Novel Triage Tool of Artificial Intelligence-Assisted Diagnosis Aid System for Suspected COVID-19 Pneumonia in Fever Clinics 93%
- Changes in the expression of interleukin-10 in myocardial infarction and its relationship with macrophage activation and cell apoptosis 92%
- Total nodule number is an independent prognostic factor in resected stage III non-small cell lung cancer: a deep learning powered study 90%
Similar papers in this journal
- MAP Kinase and mammalian target of rapamycin are main pathways of gallbladder carcinogenesis: Results from bioinformatic analysis of Next Generation Sequencing data from a hospital-based cohort. 97%
- Tissue micro-RNAs associated with colorectal cancer prognosis: a systematic review 94%
- A protocol for good quality genomic DNA isolation from formalin-fixed paraffin-embedded tissues without using commercial kits 92%
Similar papers in this journal
- Systems biomedicine of primary and metastatic colorectal cancer reveals potential therapeutic targets 97%
- Patient stratification of clear cell renal cell carcinoma using the global transcription factor activity landscape derived from RNA-seq data 96%
- miR-100-5p downregulates mTOR to suppress the proliferation, migration and invasion of prostate cancer cells 96%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.