Unknown

Dataset Information

0

Identification of hub genes and microRNAs with prognostic values in esophageal cancer by integrated analysis.


ABSTRACT: Esophageal cancer (EC) is the eighth most common cancer in the world, and the sixth most common cause of cancer-related mortality. The aim of the present study was to identify cell and molecular mechanisms involved in EC, and to provide the potential targets for diagnosis and treatment. Here, a microarray dataset (GSE20347) was screened to find differentially expressed genes (DEGs). Different bioinformatic methods were used to analyze the identified DEGs. The up-regulated DEGs were significantly involved in different biological processes and pathways including extracellular matrix organization and ECM-receptor interaction. FN1, CDK1, AURKA, TOP2A, FOXM1, BIRC5, CDC6, UBE2C, TTK, and TPX2 were identified as the most important genes among the up-regulated DEGs. Our analysis showed that has-miR-29a-3p, has-miR-29b-3p, has-miR-29c-3p, and has-miR-767-5p had the largest number of common targets among the up-regulated DEGs. These findings strengthen the understanding of EC development and progression, as well as representing potential markers for EC diagnosis and treatment.

SUBMITTER: Mokhlesi A 

PROVIDER: S-EPMC10319852 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature

altmetric image

Publications

Identification of hub genes and microRNAs with prognostic values in esophageal cancer by integrated analysis.

Mokhlesi Amir A   Sharifi Zahra Z   Berimipour Ahmad A   Taleahmad Sara S   Talkhabi Mahmood M  

Non-coding RNA research 20230604 3


Esophageal cancer (EC) is the eighth most common cancer in the world, and the sixth most common cause of cancer-related mortality. The aim of the present study was to identify cell and molecular mechanisms involved in EC, and to provide the potential targets for diagnosis and treatment. Here, a microarray dataset (GSE20347) was screened to find differentially expressed genes (DEGs). Different bioinformatic methods were used to analyze the identified DEGs. The up-regulated DEGs were significantly  ...[more]

Similar Datasets

| S-EPMC11191499 | biostudies-literature
| S-EPMC6009060 | biostudies-literature
| S-EPMC8533228 | biostudies-literature
| S-EPMC7491038 | biostudies-literature
| S-EPMC8201699 | biostudies-literature
| S-EPMC10186514 | biostudies-literature
| S-EPMC9035652 | biostudies-literature
| S-EPMC6856906 | biostudies-literature
| S-EPMC9652801 | biostudies-literature
| S-EPMC8117102 | biostudies-literature