The microenvironment cell index is a novel indicator for the prognosis and therapeutic regimen selection of cancers.

ABSTRACT:

Background

It is worthwhile to establish a prognostic prediction model based on microenvironment cells (MCs) infiltration and explore new treatment strategies for triple-negative breast cancer (TNBC).

Methods

The xCell algorithm was used to quantify the cellular components of the TNBC microenvironment based on bulk RNA sequencing (bulk RNA-seq) data. The MCs index (MCI) was constructed using the least absolute shrinkage and selection operator Cox (LASSO-Cox) regression analysis. Single-cell RNA sequencing (scRNA-seq), spatially resolved transcriptomics (SRT), and multiplex immunofluorescence (mIF) staining analyses verified MCI. The mechanism of action of the MCI was investigated in tumor-bearing mice.

Results

MCI consists of the six types of MCs, which can precisely

SUBMITTER: Yang XY 

PROVIDER: S-EPMC11727790 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature