Scholarlink

<p>SLC25A13, a pivotal component of the mitochondrial aspartate-glutamate carrier, is integral to cellular metabolism and has been linked to various diseases. However, its role in cancer biology remains largely unexplored. In this study, we employed multi-omics data to elucidate the genetic landscape, expression profile, and prognostic value of SLC25A13 in a pan-cancer context. Additionally, we examined the correlation between SLC25A13 and the immune microenvironment across various cancers. By applying multiple machine learning methods, we identified seven core SLC25A13 co-expressed genes and developed a nomogram to predict the prognosis of glioma patients, validating its efficacy across multiple independent datasets. Furthermore, in vitro and in vivo experiments demonstrated that SLC25A13 is significantly overexpressed in glioblastoma tissues compared to paraneoplastic tissues, promoting glioblastoma cell proliferation and migration while inhibiting apoptosis. Collectively, our study positions SLC25A13 as a promising biomarker for cancer prognosis and a potential therapeutic target, particularly in glioma, thereby laying the groundwork for future research into its therapeutic exploitation in cancer.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Unveiling the oncogenic role of SLC25A13: a multi-omics pan-cancer analysis reveals its impact on glioma progression

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2025年3月3日

查看全文
  • Wenjie Wu,
  • Simin Liu,
  • Huili Ren,
  • Yuxin Rao,
  • Jun Nie,
  • Keke Wei,
  • Xiaobing Jiang

摘要

SLC25A13, a pivotal component of the mitochondrial aspartate-glutamate carrier, is integral to cellular metabolism and has been linked to various diseases. However, its role in cancer biology remains largely unexplored. In this study, we employed multi-omics data to elucidate the genetic landscape, expression profile, and prognostic value of SLC25A13 in a pan-cancer context. Additionally, we examined the correlation between SLC25A13 and the immune microenvironment across various cancers. By applying multiple machine learning methods, we identified seven core SLC25A13 co-expressed genes and developed a nomogram to predict the prognosis of glioma patients, validating its efficacy across multiple independent datasets. Furthermore, in vitro and in vivo experiments demonstrated that SLC25A13 is significantly overexpressed in glioblastoma tissues compared to paraneoplastic tissues, promoting glioblastoma cell proliferation and migration while inhibiting apoptosis. Collectively, our study positions SLC25A13 as a promising biomarker for cancer prognosis and a potential therapeutic target, particularly in glioma, thereby laying the groundwork for future research into its therapeutic exploitation in cancer.