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Next Generation Sequencing for the Detection of Actionable Mutations in Solid and Liquid Tumors
Published on: September 20, 2016
Genomic Mutations of Primary and Metastatic Lung Adenocarcinoma in Chinese Patients
Xinyu Chen1, Qing Bu1, Xuexin Yan1
1Department of Medical Oncology, The First Affiliated Hospital of Guangxi Medical University, Nanning, China.
Abstract:
Lung cancer is still the leading cause of cancer-related death worldwide. Of lung cancer, lung adenocarcinoma (LUAD) is the most common subtype. Most patients with LUAD would develop into metastasis, which limits the available treatment. Targeted therapy and immunotherapy provided options for those advanced patients. But they also broached up challenges to identify the appropriate patients. This study aims to reveal the landscapes of genomic mutations in primary and metastatic LUAD and their actionability. This study enrolled 636 patients with LUAD, of whom 85 and 551 were from patients with and without metastasis, respectively. Next-generation sequencing technology was used to retrieve their genomic information. Genomic mutations including short nucleotide variation, long variation, copy number variations, and fusions were called. The corresponding actionability was revealed. A comparison of genomic mutations and actionability between primary and metastatic LUAD was performed. In primary tumors, BRCA2 and FAT3 were significantly mutated in older patients; while in metastases, ALK and NOTCH2 were significantly mutated in younger patients. Primary tumors in male patients were significantly mutated in LRP1B and KRAS. Compared to primary tumors, metastases harbored less short nucleotide variations but more copy number variations and fusions. In metastases, chromosome 1 and chromosome 9 had less short nucleotide variations and more CNV than in primary tumors. Genomic variations of activated dendritic cells were more frequently mutated in metastases. EGFR genomic variations were negatively associated with PD-L1 and TMB. Patients with EGFR inhibitor treatment tend to have lower PD-L1 expression. The revealed discrepancy between primary and metastatic lung cancer could help guide the treatment strategies and the development of novel drugs.
Insights
Genomic mutations differ between primary and metastatic lung adenocarcinoma (LUAD). Metastases show more copy number variations and fusions, impacting treatment strategies for this common cancer.
Area of Science:
- Oncology
- Genomics
- Cancer Research
Background:
- Lung adenocarcinoma (LUAD) is the most common lung cancer subtype and frequently metastasizes, limiting treatment efficacy.
- Targeted therapy and immunotherapy offer options for advanced LUAD but require precise patient identification.
- Understanding genomic differences between primary and metastatic LUAD is crucial for optimizing treatment.
Purpose of the Study:
- To investigate the genomic mutation landscapes in primary and metastatic LUAD.
- To compare genomic alterations and their actionability between primary and metastatic LUAD.
- To identify potential therapeutic targets and guide treatment strategies for LUAD patients.
Main Methods:
- Genomic analysis of 636 LUAD patients (85 metastatic, 551 primary).
- Next-generation sequencing to identify short nucleotide variations, long variations, copy number variations (CNVs), and fusions.
- Comparative analysis of genomic profiles and actionability between primary and metastatic tumors.
Main Results:
- Metastases exhibited fewer short nucleotide variations but more CNVs and fusions compared to primary tumors.
- Specific mutations (e.g., ALK, NOTCH2) were more prevalent in younger patients with metastases, while others (e.g., BRCA2, FAT3) were linked to older patients with primary tumors.
- EGFR mutations were negatively associated with PD-L1 expression and tumor mutational burden (TMB), with EGFR inhibitor-treated patients showing lower PD-L1.
Conclusions:
- Significant genomic discrepancies exist between primary and metastatic LUAD.
- These findings can inform personalized treatment strategies and novel drug development for LUAD.
- Identifying distinct mutational profiles in metastases is key for improving patient outcomes.
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