4.5 Article

Tumor Heterogeneity and Drug Resistance Mutations Using ctDNA in Metastatic EGFR Mutation-Positive Lung Adenocarcinoma: A Case Report

Journal

ONCOTARGETS AND THERAPY
Volume 15, Issue -, Pages 919-923

Publisher

DOVE MEDICAL PRESS LTD
DOI: 10.2147/OTT.S376647

Keywords

tumor heterogeneity; circulating tumor DNA; ctDNA; resistance mutation; next-generation sequencing; NGS

Ask authors/readers for more resources

This study investigated a case of lung adenocarcinoma (LADC) with EGFR mutations who underwent sequential EGFR TKI treatment. Dynamic changes in tumor heterogeneity were observed in the different lesions of the patient's CT images. Analysis of ctDNA using targeted next generation sequencing (NGS) revealed dynamic changes in mutational profiles between the primary and metastatic tumors, providing insights into tumor evolution for guiding treatment decision-making.
For advanced non-small cell lung cancer (NSCLC) patients with epidermal growth factor receptor (EGFR) mutations, EGFR tyrosine kinase inhibitors (TKIs) have been approved as the standard therapy and shown clinical benefits. However, the emergence of drug resistance is inevitable. Tumor heterogeneity was often observed by imaging method to evaluate the progression of primary and metastatic lesions. Tissue biopsy was also unlikely to accurately capture the complete genomic landscape from a single tissue sample. Recently, genomic characterization of circulating tumor DNA (ctDNA) offer an opportunity to reveal the clonal dynamics throughout the course of a patient's illness and provide comprehensive genomic landscape of tumors to assess tumor heterogeneity. Here, we reported a lung adenocarcinoma (LADC) with EGFR mutations who was treated with sequential EGFR TKIs. The CT image of the patient's different lesions suggested that dynamic change of tumor heterogeneity had occurred. Targeted next generation sequencing (NGS) analysis of ctDNA revealed dynamic changes of mutational profiles between the primary and metastatic tumors to discover tumor evolution to guide treatment decision-making.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available