ABCG2 Gene Expression in Non-Small Cell Lung Cancer

Agnieszka Jeleń1,2, Marta Żebrowska-Nawrocka1,2, Mariusz Łochowski3

  • 1Department of Pharmaceutical Biochemistry and Molecular Diagnostics, Medical University of Lodz, Muszynskiego 1, 90-151 Lodz, Poland.

Biomedicines
|October 26, 2024
PubMed

Insights

The ATP-binding cassette subfamily G member 2 (ABCG2) gene shows low expression in non-small cell lung cancer (NSCLC) but higher expression correlates with improved survival in certain lung adenocarcinoma (LUAD) patients. ABCG2 impacts lung cancer prognosis and immunotherapy response.

Area of Science:

  • Oncology
  • Molecular Biology
  • Bioinformatics

Background:

  • ATP-binding cassette subfamily G member 2 (ABCG2), also known as breast cancer resistance protein (BCRP), is implicated in multidrug resistance and cancer stem cell markers.
  • ABCG2's role in non-small cell lung cancer (NSCLC) development, progression, and patient outcomes requires further elucidation.

Purpose of the Study:

  • To investigate the impact of ABCG2 gene expression on NSCLC development, disease course, and patient prognosis.
  • To analyze ABCG2 expression in NSCLC patients' blood and its correlation with clinical parameters.
  • To explore ABCG2 protein interactions and their association with drug resistance.

Main Methods:

  • Utilized multiple bioinformatics databases (TIMER 2.0, UALCAN, TNMplot, MEXPRESS, cBioPortal, MethSurv, KM Plotter, STRING, ShinyGO 0.80) for in silico analysis of lung cancer datasets.
  • Assessed ABCG2 expression in blood samples from 50 NSCLC patients using real-time PCR.
  • Analyzed CpG island methylation affecting NSCLC prognosis.

Main Results:

  • ABCG2 was expressed at low levels in NSCLC and did not correlate with clinical aggressiveness.
  • Higher ABCG2 expression was associated with improved overall survival specifically in lung adenocarcinoma (LUAD) patients.
  • No significant changes in blood ABCG2 expression levels were observed during the diagnostic-therapeutic procedure in NSCLC patients.
  • In silico analysis revealed that most ABCG2 protein interactors are linked to drug resistance mechanisms.

Conclusions:

  • ABCG2 significantly influences lung cancer patient survival and immunotherapy effectiveness, particularly concerning immune cell infiltration.
  • Findings suggest potential for personalized medicine strategies in NSCLC based on ABCG2 expression and bioinformatics data.
  • ABCG2's role in LUAD prognosis warrants further investigation for targeted therapeutic approaches.