Integrated Transcriptome Analysis Reveals KLK5 and L1CAM Predict Response to Anlotinib in NSCLC at 3rd Line

Jun Lu1, Qin Shi2, Lele Zhang1

  • 1Department of Pulmonary Medicine, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.

Frontiers in Oncology
|October 2, 2019
PubMed

Insights

Researchers identified KLK5 and L1CAM as potential biomarkers to predict response to anlotinib, a tyrosine kinase inhibitor (TKI), in non-small cell lung cancer (NSCLC) patients. High levels of these markers indicate a poorer response to anlotinib treatment.

Area of Science:

  • Oncology
  • Molecular Biology
  • Biomarker Discovery

Background:

  • Anlotinib, an oral multi-targeted tyrosine kinase inhibitor (TKI), shows efficacy in third-line treatment for non-small cell lung cancer (NSCLC).
  • A subset of NSCLC patients exhibits non-responsiveness to anlotinib, necessitating methods for identifying responsive individuals.
  • Identifying predictive biomarkers is crucial for optimizing anlotinib therapy in NSCLC.

Purpose of the Study:

  • To screen for potential biomarkers to stratify anlotinib-responsive NSCLC patients using integrated transcriptome analysis.
  • To investigate the role of KLK5 and L1CAM as predictive biomarkers for anlotinib response in NSCLC.

Main Methods:

  • Differential gene expression analysis between anlotinib-sensitive and resistant NSCLC cell lines (NCI-H1975).
  • Kaplan-Meier survival analysis in a TCGA cohort to assess the association of KLK5 and L1CAM expression with clinical outcomes.
  • Independent validation of serum KLK5 and L1CAM levels in the ALTER0303 clinical trial cohort (NCT02388919).
  • Functional study involving knockdown of KLK5 and L1CAM to evaluate their impact on anlotinib-induced cytotoxicity.

Main Results:

  • 1,315 differentially expressed genes were identified between anlotinib-resistant and sensitive NSCLC cells.
  • High expression of angiogenesis-related genes KLK5 and L1CAM correlated with poor clinical outcomes in NSCLC patients.
  • Elevated serum KLK5 and L1CAM levels were associated with poor anlotinib response in third-line NSCLC patients.
  • Knockdown of KLK5 and L1CAM enhanced anlotinib-induced cytotoxicity in resistant cells.

Conclusions:

  • Serum levels of KLK5 and L1CAM show potential as predictive biomarkers for stratifying anlotinib response in third-line NSCLC patients.
  • Targeting KLK5 and L1CAM may represent a therapeutic strategy to overcome anlotinib resistance in NSCLC.

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