Deciphering the cancer microenvironment from bulk data with EcoTyper.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 34653367.
- Also identified by DOI 10.1016/j.cell.2021.09.028 and PMC identifier 8655686.
- No licence information is recorded for this record.
- Because redistribution is not established, this page shows the abstract only. Follow the links below for the full text.
Abstract
In this issue of Cell, Luca, Steen et al. develop the EcoTyper software to deconvolve tumor-microenvironment interactions from high volume bulk transcriptomics data. They demonstrate its effectiveness in improving predictions for tumor progression and patient prognosis for a variety of tumor types from multiple data sources.
Medical subject headings
- Neoplasms
- Tumor Microenvironment