Objectives: , which is primarily recognized for determining blood types, shows variable expression patterns in different tissues and cancer types. This study investigated the relationship between gene expression and cancer, and assessed its potential impact on patient survival.
Methods: Utilizing the GEPIA database, we analyzed expression in normal and tumor tissues across various cancer types using online tools for comprehensive evaluation.
Results: The analysis revealed significant disparities in expression among different tissue types. Notably, ovarian and thyroid tissues exhibited the highest expression of , whereas the liver, thymus, and brain tissues showed relatively low expression. The expression patterns of varied distinctly among cancer types, with ovarian and thyroid carcinomas demonstrating the most significant differences between tumor and normal tissues. Other cancers, including adrenocortical carcinoma, acute myeloid leukemia, and renal cell carcinoma, also exhibit notable variations in expression. Low expression was correlated with reduced survival rates in colorectal adenocarcinoma, stomach adenocarcinoma, and renal cancers, among others.
Conclusions: These findings suggest the potential role of in tumor development, as well as cancer progression and prognosis, underscoring the value of as a biomarker for various cancers. This warrants further research for understanding the functional roles of and its therapeutic implications to develop targeted cancer therapies and diagnostic tools.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11720615 | PMC |
http://dx.doi.org/10.1016/j.jtumed.2024.12.007 | DOI Listing |
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