Comprehensive Analysis of the Immune and Prognostic Implication of MMP14 in Lung Cancer

Chun-Long Zheng1, Qiang Lu1, Nian Zhang2

  • 1Department of Thoracic Surgery, Tangdu Hospital, The Air Force Military Medical University, Xi'an, Shaanxi 710038, China.

Disease Markers
|December 6, 2021
PubMed

Insights

Matrix metalloproteinase 14 (MMP14) is upregulated in lung cancer, correlating with poor prognosis and increased immune cell infiltration. MMP14 may serve as a novel prognostic biomarker and therapeutic target for lung cancer patients.

Area of Science:

  • Oncology
  • Immunology
  • Molecular Biology

Background:

  • Immune infiltration in lung cancer impacts clinical outcomes.
  • Matrix metalloproteinase 14 (MMP14) is dysregulated in various tumors but its role in cancer immunity is understudied.

Purpose of the Study:

  • To investigate the role of MMP14 in lung cancer immunity and its potential as a prognostic biomarker.
  • To identify MMP14-associated immunomodulators and develop a risk prediction signature for lung cancer.

Main Methods:

  • Analysis of MMP14 expression in lung cancer specimens.
  • Correlation analysis between MMP14 expression, immune infiltration, and patient prognosis.
  • Pathway enrichment analysis of MMP14-associated immunomodulators.
  • Multivariate assays to construct gene-based risk prediction signatures.

Main Results:

  • MMP14 expression was significantly upregulated in lung cancer tissues compared to non-tumor tissues.
  • High MMP14 expression was associated with poor prognosis in lung squamous cell carcinoma (LUSC) and positively correlated with immune cell infiltration.
  • Pathway analysis revealed involvement of T cell receptor and Toll-like receptor signaling pathways.
  • A risk score based on MMP14-associated immunomodulators independently predicted overall survival.

Conclusions:

  • MMP14 plays a role in lung cancer immunity and is a potential prognostic biomarker and therapeutic target.
  • The identified MMP14-associated genes may serve as valuable biomarkers for predicting lung cancer patient outcomes.