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Updated: Sep 28, 2025

Author Spotlight: Advancements in Molecular Biomarker Testing for Non-Squamous Non-Small Cell Lung Cancer
Published on: September 8, 2023
Characterization of Somatic Mutations That Affect Neoantigens in Non-Small Cell Lung Cancer
Hongge Liang1,2, Yan Xu1, Minjiang Chen1
1Department of Respiratory and Critical Care Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Purpose:
Immune checkpoint inhibitors (ICIs) have recently emerged as an important option for treating patients with advanced non-small cell lung cancer (NSCLC). Neoantigens are important biomarkers and potential immunotherapy targets that play important roles in the prognosis and treatment of patients with NSCLC. This study aimed to evaluate and characterize the relationships between somatic mutations and potential neoantigens in specimens from patients who underwent surgical treatment for NSCLC.
Patients And Methods:
This prospective study evaluated specimens from patients with NSCLC who underwent surgical treatment at the Peking Union Medical College, China, from June 2019 to September 2019. Whole-exome sequencing was performed for tumor tissues and corresponding normal tissues. Candidate neoantigens were predicted using generative software, and the relationships between various mutation characteristics and number of neoantigens were evaluated.
Results:
Neoantigen-related gene mutations were less frequent than mutations affecting the whole genome. Genes with high neoantigen burden had more types and higher frequencies of mutations. The number of candidate neoantigens was positively correlated with missense mutations, code shift insertions/deletions, split-site variations, and nonsense mutations. However, in the multiple linear regression analysis, only missense mutations were positively correlated with the number of neoantigens. The number of neoantigens was also positively correlated with base transversions (A>C/C>A, T>G/G>T, and C>G/G>C) and negatively correlated with base transitions (A>G/G>A and C>T/T>C).
Conclusion:
The number of candidate neoantigens in NSCLC specimens was associated with mutation frequency, type of mutation, and type of base substitution.
Insights
Somatic mutations in non-small cell lung cancer (NSCLC) influence neoantigen numbers. Missense mutations and specific base substitutions correlate with higher neoantigen loads, impacting immunotherapy potential in NSCLC patients.
Area of Science:
- Oncology
- Genomics
- Immunotherapy
Background:
- Immune checkpoint inhibitors (ICIs) are crucial for advanced non-small cell lung cancer (NSCLC).
- Neoantigens are key biomarkers and immunotherapy targets in NSCLC prognosis and treatment.
Purpose of the Study:
- To characterize the relationship between somatic mutations and neoantigens in NSCLC surgical specimens.
- To identify mutation types and characteristics associated with neoantigen burden.
Main Methods:
- Prospective study of NSCLC surgical specimens.
- Whole-exome sequencing of tumor and normal tissues.
- Prediction of candidate neoantigens using generative software.
Main Results:
- Genes with high neoantigen burden showed increased mutation types and frequencies.
- Candidate neoantigen count correlated positively with missense mutations, insertions/deletions, split-site, and nonsense mutations.
- Missense mutations, base transversions, and specific base transitions were significantly associated with neoantigen number.
Conclusions:
- Neoantigen quantity in NSCLC is linked to mutation frequency, type, and base substitution patterns.
- Understanding these relationships can refine neoantigen prediction and immunotherapy strategies for NSCLC.
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