GEO 数据集

主题由标题与摘要自动归类；样本量为数据集标注之和，SuperSeries 可能与其 SubSeries 重复计算。

• Gene Expression Data of Neuroendocrine Tumors from Different Primary Sites
  GSE305904Homo sapiens194 个样本2026-10-26

  Neuroendocrine tumors (NETs) represent a unique group of tumors with diverse anatomical origins but share common clinical and molecular characteristics. Despite their low mutational burden and limited number of recurrent mutations, epigenetic mechanisms play a crucial role in their biology. This study aims to establish a universal molecular classification of NETs, independent of their site of origin, by integrating gene expression and methylation data. The objective is to uncover shared vulnerabilities to support the development of improved diagnostic, prognostic, and predictive biomarkers, as well as innovative treatment strategies to enhance patient outcomes. Transcriptomic and methylomic profiles were examined from paraffin-embedded tumor samples of 194 patients diagnosed with G1-G3 neuroendocrine tumors (NETs) originating in the gastrointestinal-pancreatic (GEP) tract and lungs. Using these integrated datasets, a Multi-Omics Factor Analysis (MOFA) model comprising eight factors was developed. This model facilitated the application of unsupervised clustering algorithms, resulting in a consensus molecular classification for neuroendocrine tumors.

  多组学计算与 AI