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Updated: Jul 11, 2025

Author Spotlight: Advancements in Molecular Biomarker Testing for Non-Squamous Non-Small Cell Lung Cancer
Published on: September 8, 2023
Molecular pathology of non-small cell carcinoma
1Department of Diagnostic Pathology, National Cancer Center Hospital, Tokyo, Japan.
Abstract:
Currently, lung cancer is treated by the highest number of therapeutic options and the benefits are based on multiple large-scale sequencing studies, translational research and new drug development, which has promoted our understanding of the molecular pathology of lung cancer. According to the driver alterations, different characteristics have been revealed, such as differences in ethnic prevalence, median age and alteration patterns. Consequently, beyond traditional chemoradiotherapy, molecular-targeted therapy and treatment with immune check-point inhibitors (ICI) also became available major therapeutic options. Interestingly, clinical results suggest that the recently established therapies target distinct lung cancer proportions, particularly between the EGFR/ALK and PD-1/PD-L1-positive subsets, e.g. the kinase inhibitors target driver mutation-positive tumours, whereas driver mutation-negative tumours respond to ICI treatment. These therapeutic efficacy-related differences might be explained by the molecular pathogenesis of lung cancer. Addictive driver mutations promote tumour formation with powerful transformation performance, resulting in a low tumour mutation burden, reduced immune surveillance, and subsequent poor response to ICIs. In contrast, regular tobacco smoke exposure repeatedly injures the proximal airway epithelium, leading to accumulated genetic alterations. In the latter pathway, overgrowth due to alteration and immunological exclusion against neoantigens is initially balanced. However, tumours could be generated from certain clones that outcompete immunological exclusion and outgrow the others. Consequently, this cancer type responds to immune check-point treatment. These pathogenic differences are explained well by the two-compartment model, focusing upon the anatomical and functional composition of distinct cellular components between the terminal respiratory unit and the air-conducting system.
Insights
Lung cancer treatments differ based on tumor molecular characteristics. Driver mutation-positive tumors respond to kinase inhibitors, while driver mutation-negative tumors benefit from immune checkpoint inhibitors (ICI).
Area of Science:
- Oncology
- Molecular Pathology
- Immunotherapy
Background:
- Lung cancer treatment has advanced significantly due to large-scale sequencing and drug development.
- Understanding molecular pathology reveals distinct characteristics based on driver alterations, influencing treatment strategies.
- Current therapies include traditional chemoradiotherapy, molecular-targeted therapy, and immune checkpoint inhibitors (ICI).
Purpose of the Study:
- To explain the differential efficacy of molecular-targeted therapies and ICIs in lung cancer subsets.
- To elucidate the molecular pathogenesis underlying distinct lung cancer treatment responses.
- To apply the two-compartment model to understand lung cancer development and therapeutic targets.
Main Methods:
- Comparative analysis of clinical results from distinct lung cancer subsets (EGFR/ALK-positive vs. PD-1/PD-L1-positive).
- Investigation of molecular pathogenesis, including tumor mutation burden and immune surveillance.
- Application of the two-compartment model to differentiate lung cancer origins (terminal respiratory unit vs. air-conducting system).
Main Results:
- Kinase inhibitors are effective against driver mutation-positive lung tumors.
- Immune checkpoint inhibitors (ICI) show efficacy in driver mutation-negative lung tumors.
- Driver mutations lead to low tumor mutation burden and poor ICI response, while smoke-induced alterations can result in better ICI response.
Conclusions:
- Lung cancer treatment efficacy is strongly linked to its molecular pathogenesis and driver alteration status.
- The two-compartment model effectively explains distinct molecular pathways and therapeutic vulnerabilities in lung cancer.
- Tailoring therapies based on molecular profiles, such as driver mutations and PD-1/PD-L1 status, is crucial for optimizing patient outcomes.
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