A dynamic molecular landscape in colorectal cancer progression at single-cell resolution

J Transl Med. 2025 Jul 1;23(1):723. doi: 10.1186/s12967-025-06785-9.

Abstract

Background: Precursor lesions like polyps and adenomas in the colon commonly precede colorectal cancer (CRC), advancing through the "normal-polyp-adenoma-carcinoma" sequence towards malignancy. Yet, the cellular heterogeneity and molecular mechanisms involved in CRC development remain inadequately characterized.

Methods: To understand the molecular mechanisms driving the onset and progression of CRC, we conducted a comprehensive analysis of ten clinical colorectal samples representing sequential pathological stages using single-cell RNA sequencing (scRNA-seq). Validation was performed through immunofluorescence and immunohistochemistry analyses in a separate human colorectal tissue cohort. Additional verification was carried out using bioinformatics analyses of public TCGA and GEO datasets.

Results: Our comprehensive analyses not only reveal the cellular diversity and transcriptomic differences throughout disease progression but also highlight the importance of leveraging ligand-receptor gene expression to distinguish various cell subtypes. Subsequent examination and validation with a larger sample cohort uncover the specific involvement of ligand-receptor genes, transcription factors, immunoglobulin genes, and heat shock genes in regulating immune responses and microenvironment changes during colorectal tumorigenesis.

Conclusions: Our extensive transcriptome dataset provides valuable insights and acts as a fundamental resource to deepen our understanding of the complex molecular landscape in CRC. This dataset facilitates improved diagnostic accuracy and the creation of more personalized therapeutic approaches.

Keywords: Colorectal cancer; Heat shock proteins; Ligand–receptor genes; Single-cell RNA-seq; Transcription factors.

MeSH terms

  • Colorectal Neoplasms* / genetics
  • Colorectal Neoplasms* / pathology
  • Disease Progression*
  • Female
  • Gene Expression Profiling
  • Gene Expression Regulation, Neoplastic
  • Humans
  • Male
  • Reproducibility of Results
  • Single-Cell Analysis*
  • Transcriptome / genetics