NRF2 signaling pathway: A comprehensive prognostic and gene expression profile analysis in breast cancer
Pathology Research and Practice
Breast cancer is the most frequently diagnosed malignant tumor in women and a major public health concern. NRF2 axis is a cellular protector signaling pathway protecting both normal and cancer cells from oxidative damage. NRF2 is a transcription factor that binds to the gene promoters containing antioxidant response element-like sequences. In this report, differential expression of NRF2 signaling pathway elements, as well as the correlation of NRF2 pathway mRNAs with various clinicopathologic characteristics, including molecular subtypes, tumor grade, tumor stage, and methylation status, has been investigated in breast cancer using METABRIC and TCGA datasets. In the current report, our findings revealed the deregulation of several NRF2 signaling elements in breast cancer patients. Moreover, there were negative correlations between the methylation of NRF2 genes and mRNA expression. The expression of NRF2 genes significantly varied between different breast cancer subtypes. In conclusion, substantial deregulation of NRF2 signaling components suggests an important role of these genes in breast cancer. Because of the clear associations between mRNA expression and methylation status, DNA methylation could be one of the mechanisms that regulate the NRF2 pathway in breast cancer. Differential expression of Hippo genes among various breast cancer molecular subtypes suggests that NRF2 signaling may function differently in different subtypes of breast cancer. Our data also highlights an interesting link between NRF2 components' transcription and tumor grade/stage in breast cancer.
Soghli, Negin; Yousefi, Hassan; Naderi, Tohid; Fallah, Aysan; Moshksar, Amin; Darbeheshti, Farzaneh; Vittori, Cecilia; Delavar, Mahsa Rostamian; Zare, Ali; Rad, Habib Sadeghi; Kazemi, Abtin; Bitaraf, Amirreza; Hussen, Bashdar Mahmud; Taheri, Mohammad; and Jamali, Elena, "NRF2 signaling pathway: A comprehensive prognostic and gene expression profile analysis in breast cancer" (2023). School of Medicine Faculty Publications. 484.