Identification of Tumor Budding-Associated Genes in Breast Cancer through Transcriptomic Profiling and Network Diffusion Analysis
Issued Date
2024-08-01
Resource Type
eISSN
2218273X
Scopus ID
2-s2.0-85202585411
Journal Title
Biomolecules
Volume
14
Issue
8
Rights Holder(s)
SCOPUS
Bibliographic Citation
Biomolecules Vol.14 No.8 (2024)
Suggested Citation
Janyasupab P., Singhanat K., Warnnissorn M., Thuwajit P., Suratanee A., Plaimas K., Thuwajit C. Identification of Tumor Budding-Associated Genes in Breast Cancer through Transcriptomic Profiling and Network Diffusion Analysis. Biomolecules Vol.14 No.8 (2024). doi:10.3390/biom14080896 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/100982
Title
Identification of Tumor Budding-Associated Genes in Breast Cancer through Transcriptomic Profiling and Network Diffusion Analysis
Corresponding Author(s)
Other Contributor(s)
Abstract
Breast cancer has the highest diagnosis rate among all cancers. Tumor budding (TB) is recognized as a recent prognostic marker. Identifying genes specific to high-TB samples is crucial for hindering tumor progression and metastasis. In this study, we utilized an RNA sequencing technique, called TempO-Seq, to profile transcriptomic data from breast cancer samples, aiming to identify biomarkers for high-TB cases. Through differential expression analysis and mutual information, we identified seven genes (NOL4, STAR, C8G, NEIL1, SLC46A3, FRMD6, and SCARF2) that are potential biomarkers in breast cancer. To gain more relevant proteins, further investigation based on a protein–protein interaction network and the network diffusion technique revealed enrichment in the Hippo signaling and Wnt signaling pathways, promoting tumor initiation, invasion, and metastasis in several cancer types. In conclusion, these novel genes, recognized as overexpressed in high-TB samples, along with their associated pathways, offer promising therapeutic targets, thus advancing treatment and diagnosis for breast cancer.