ArticleClinical and experimental medicine2024
Impact of pan-cancer analysis of the exportins family on prognosis, the tumor microenvironment and its potential therapeutic efficacy.
Article in Clinical and experimental medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
This study aims to comprehensively analyze the role of the exportin (XPO) family in the development and progression of cancer. These nuclear transport proteins have been increasingly recognized for their involvement in oncogenic processes and tumor growth. We utilized updated public databases and bioinformatics tools to assess the expression levels of the XPO family and their associations with key oncological markers including patient survival, immune subtypes, tumor microenvironment, stemness scores, drug sensitivity, and DNA methylation across various cancers. Expression levels of XPO family proteins varied significantly across different cancer types, indicating cancer-specific roles. Specific XPO proteins were linked to adverse prognosis in particular cancers. Additionally, expression levels were correlated with classifications of immune subtypes and tumor purity; notably, lower expression levels were often found in tumors with elevated stromal and immune scores. A marked correlation was observed between XPO proteins and RNA stemness scores, whereas the correlation with DNA stemness scores varied. Furthermore, XPO expression levels significantly influenced cancer cell drug sensitivity and generally showed correlations with gene methylation patterns, although these correlations differed among cancer types. Our findings underscore the distinct roles of XPO family members in cancer, linking them to immune infiltration, the tumor microenvironment, and drug sensitivity. These insights not only enhance our understanding of the prognostic and therapeutic potentials of XPO proteins in cancer but also lay the groundwork for further studies into their mechanisms and applications in cancer diagnosis and treatment.
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