Identification of differentially expressed genes between mucinous adenocarcinoma and other adenocarcinoma of colorectal cancer using bioinformatics analysis

Transcriptomic comparison of corneal endothelial cells in young versus old corneas

Corneal endothelial cells, situated on the innermost layer of the cornea, are vital for maintaining its clarity and thickness by regulating fluid. In this study, we investigated the differences in the transcriptome between young and old corneal endothelial cells using next-generation sequencing (NGS). Cultured endothelial cells from both young and elderly donors were subjected to NGS to unravel the transcriptomic landscape. Subsequent analyses, facilitated by Metascape, allowed for the dissection of gene expression variances, unearthing pivotal biological pathways. A total of 568 genes showed differences, and were related to Endomembrane system organization, nuclear receptors meta pathway, efferocytosis, etc. Notably, a reduction in the expression of 260 genes was observed in the aged cells form old donors, and in the related analysis, eukaryotic translation initiation, integrator complex, and Hippo YAP signaling were significant. Conversely, 308 genes exhibited elevated expression levels in the elderly, correlating with processes including transition metal ion transport and glycoprotein biosynthesis. In conclusion, our investigation has revealed critical genes involved in the aging process of corneal endothelial cells and elucidated their underlying biological pathways. These insights are instrumental in selecting targets for therapeutic intervention, thereby facilitating the advancement of novel therapeutic approaches for the restoration and preservation of corneal endothelial cell function.

Identification and validation of a novel six-gene signature based on mucinous adenocarcinoma-related gene molecular typing in colorectal cancer

BACKGROUND AND OBJECTIVES

Colorectal mucinous adenocarcinoma (MAC) is a particular pathological type that has yet to be thoroughly studied. This study aims to investigate the characteristics of colorectal MAC-related genes in colorectal cancer (CRC), explore the role of MAC-related genes in accurately classifying CRC, and further construct a prognostic signature.

METHODS

CRC samples were collected from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO). MAC-related differentially expressed genes (DEGs) were analyzed in TCGA samples. Based on colorectal MAC-related genes, TCGA CRC samples were molecularly typed by the non-negative matrix factorization (NMF). According to the molecular subtype characteristics, the RiskScore signature was constructed through univariate Cox, the least absolute shrinkage and selection operator (LASSO), and multivariate Cox regression analyses. Clinical significance in CRC of the RiskScore signature was analyzed. A nomogram was further built based on the RiskScore signature.

RESULTS

From the colorectal MAC-related genes, three distinct molecular subtypes were identified. A RiskScore signature composed of six CRC subtype-related genes (CALB1, MMP1, HOXC6, ZIC2, SFTA2, and HYAL1) was constructed. Patients with high-RiskScores had the worse prognoses. RiskScores led to differences in gene mutation characteristics, antitumor drug sensitivity, and tumor microenvironment of CRC. A nomogram based on the signature was developed to predict the one-, three-, and five-year survival of CRC patients.

CONCLUSION

MAC-related genes were able to classify CRC. A RiskScore signature based on the colorectal MAC-related molecular subtype was constructed, which had important clinical significance for guiding the accurate stratification of CRC patients.