Association between clinical pathology and multiple genes mRNA expression in Chinese patients with NSCLC

Gang Chen1, G U Jundong, Jun Chen

  • 1Department of Lung Cancer Surgery, Tianjin Medical University General Hospital, Tianjin, 300052, China.

Abstract

Insights

Messenger RNA (mRNA) expression levels of STMN1, TOP2A, and ERCC1 genes correlate with pathology type in Chinese patients with non-small cell lung carcinoma (NSCLC). This finding may aid in understanding NSCLC subtypes.

Area of Science:

  • Oncology
  • Molecular Biology
  • Genetics

Background:

  • Non-small cell lung carcinoma (NSCLC) is a major cause of cancer-related mortality worldwide.
  • Understanding the molecular differences between NSCLC subtypes is crucial for targeted therapy development.
  • Gene expression profiling can reveal molecular distinctions relevant to tumor behavior and patient outcomes.

Purpose of the Study:

  • To investigate the association between messenger RNA (mRNA) expression levels of seven key genes (ERCC1, BRCA1, RRM1, TUBB3, STMN1, TOP2A, and EGFR) and the pathology type in Chinese patients diagnosed with NSCLC.
  • To determine if specific gene expression patterns are linked to different histological subtypes of NSCLC.

Main Methods:

  • Analysis of mRNA expression levels for ERCC1, BRCA1, RRM1, TUBB3, STMN1, TOP2A, and EGFR in 181 NSCLC tumor tissues.
  • Utilized the xTAG-step liquid-chip array technology for quantitative mRNA analysis.
  • Correlated the measured mRNA expression levels with the clinical pathology types of the NSCLC samples.

Main Results:

  • Significant differences in mRNA expression levels were observed for ERCC1, STMN1, and TOP2A genes across different NSCLC pathology types (p < 0.05).
  • STMN1 and TOP2A mRNA expression levels were significantly higher in squamous cell lung carcinoma compared to non-squamous cell types.
  • ERCC1 mRNA expression levels were significantly lower in squamous cell carcinoma relative to non-squamous cell carcinoma.

Conclusions:

  • The mRNA expression levels of STMN1, TOP2A, and ERCC1 are significantly correlated with the clinical pathology type in Chinese NSCLC patients.
  • These specific gene expression patterns may serve as molecular markers for differentiating NSCLC subtypes, potentially informing treatment strategies.