Biomarker discovery in non-small cell lung cancer: integrating gene expression profiling, meta-analysis, and tissue...

Area of Science:

• Oncology
• Molecular Biology
• Genomics

Background:

• Global gene expression profiling is crucial for identifying lung cancer subtypes and predicting patient outcomes.
• Current multigene signatures lack overlap, hindering clinical application and individual gene assessment.
• There is a need for validated single-gene markers with prognostic value in non-small cell lung cancer (NSCLC).

Purpose of the Study:

• To identify single genes with prognostic impact in non-small cell lung cancer (NSCLC).
• To validate the prognostic significance of identified genes using a meta-analysis approach.
• To evaluate the potential of Cell Adhesion Molecule 1 (CADM1) as a clinical diagnostic marker.

Main Methods:

• A novel NSCLC cohort of 196 patients was used for training gene expression array data.
• Univariate Cox regression identified top 450 probe sets with prognostic impact (P < 0.01).
• A meta-analysis of five independent lung cancer cohorts (n=860) validated the identified genes.

Main Results:

• Meta-analysis identified 14 genes significantly associated with survival (P < 0.001, FDR < 1%).
• Cell Adhesion Molecule 1 (CADM1) was confirmed as a prognostic gene via immunohistochemistry in 617 NSCLC samples.
• Low CADM1 protein expression correlated with shorter survival, particularly in adenocarcinoma patients.

Conclusions:

• A set of single genes with independent prognostic impact in NSCLC was identified using a novel cohort and meta-analysis.
• CADM1 was validated as an immunohistochemical marker with potential clinical diagnostic applications.
• This study provides valuable biomarkers for NSCLC prognosis and potentially guides therapeutic decisions.