Spatial transcriptomics and scRNA-seq: decoding tumor complexity and constructing prognostic models in colorectal cancer.

ABSTRACT:

Introduction

Recent advancements in transcriptomic analysis, combined with single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics, have deepened our understanding of the tumor microenvironment and cellular heterogeneity, laying the groundwork for personalized therapies. The aim of this research is to explore the heterogeneity of tumor cells in colorectal cancer (CRC) and evaluate their prognostic value in different therapeutic contexts, emphasizing the impact of tumor cell heterogeneity on disease progression.

Methods

scRNA-seq alongside spatial transcriptomics was employed to analyze the heterogeneity of tumor cells in CRC, the spatial distribution of tumor cells, and their interactions with the microenvironment.

Results

We identified nine distinct tumor

SUBMITTER: Song W 

PROVIDER: S-EPMC12351954 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature