Identification of a Novel 4-gene Prognostic Model Related to Neutrophil Extracellular Traps for Colorectal Cancer

  • 0Department of Gastrointestinal Surgery, Affiliated Hospital of Shaoxing University (The Shaoxing Municipal Hospital), Shaoxing, China.

Summary

This summary is machine-generated.

Higher neutrophil extracellular traps (NETs) in colorectal cancer (CRC) correlate with better survival and a more robust immune microenvironment. This study identifies key genes and potential therapeutic targets for CRC progression.

Area Of Science

  • Oncology
  • Immunology
  • Genomics

Background

  • Colorectal cancer (CRC) poses a significant global health challenge.
  • Understanding the molecular drivers of CRC progression and prognosis is critical.
  • The role of neutrophil extracellular traps (NETs) in CRC remains largely unexplored.

Purpose Of The Study

  • To investigate the prognostic significance of NETs in colorectal cancer.
  • To identify molecular markers associated with NETs and patient outcomes.
  • To explore the immune microenvironment and potential therapeutic strategies in CRC based on NETs status.

Main Methods

  • Analysis of TCGA transcriptomic data for CRC patients.
  • Assessment of NETs enrichment and pathway scores.
  • Development of a prognostic model using LASSO Cox regression.
  • Evaluation of immune cell infiltration and immune scores (ImmuneScore, ESTIMATEScore).

Main Results

  • Patients with high NETs enrichment (NETs_high) demonstrated significantly better survival than those with low NETs (NETs_low).
  • A prognostic model comprising PRKRIP1, SERTAD2, ELFN1, and LINC00672 accurately predicted CRC patient outcomes.
  • NETs_high CRC samples exhibited a more enriched immune microenvironment with increased immune cell infiltration and higher immune scores.
  • Differential drug sensitivity was observed, with Daporinad and Selumetinib identified as potential therapeutic options.

Conclusions

  • NETs status is a significant prognostic factor in colorectal cancer.
  • The identified genes (PRKRIP1, SERTAD2, ELFN1, LINC00672) are crucial for predicting CRC outcomes and are linked to the immune landscape.
  • These findings support the development of personalized treatment strategies for CRC based on NETs and immune profiles.