ArticleLung cancer (Amsterdam, Netherlands)2022
Immunogenomic profiling of lung adenocarcinoma reveals poorly differentiated tumors are associated with an immunogenic tumor microenvironment.
Article in Lung cancer (Amsterdam, Netherlands), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 20 citations in OpenAlex.
- The prognostic significance of the IASLC grading system in ALK-positive invasive non-mucinous adenocarcinoma of the lung: correlation with clinicopathological features.The journal of pathology. Clinical research · 2026Article
- Prolonged Diagnostic Latency and Long-term Surveillance in Anti-Ri Antibody-positive Opsoclonus-myoclonus Syndrome with Carcinoma of Unknown Primary.Internal medicine (Tokyo, Japan) · 2026Article
- Evaluation of a dual-energy computed tomography parameter -radiomics combined model for solitary pulmonary nodules.Frontiers in oncology · 2026Article
- Thyroid toxicity in lung cancer patients treated with immune-checkpoint inhibitors: a single-center retrospective analysis.Frontiers in immunology · 2026Article
- Bio-interpretable ensemble learning model for invasive pulmonary adenocarcinoma grade using CT and histopathology images.NPJ precision oncology · 2025Article
- CAFs mediate carboplatin resistance in LUAD via CXCL12 secretion regulated by NF-κB activation.Cellular oncology (Dordrecht, Netherlands) · 2025Article
- Relationships between growth rate and Ki-67 and immune indices in ground-glass nodule-featured lung adenocarcinoma.BMC cancer · 2025Article
- Spatial transcriptomic analysis across histological subtypes reveals molecular heterogeneity and prognostic markers in early-stage lung adenocarcinoma.Clinical and translational medicine · 2025Article
- SLC34A2 inhibits tumorigenesis and progression via upregulating LRRK2/TTF-1/SELENBP1 axis in lung adenocarcinoma.Cancer gene therapy · 2025Article
- Spatial transcriptomics uncovers immune-cell plasticity and dedifferentiation signatures in aggressive lung adenocarcinoma subtypes.Frontiers in immunology · 2025Article
- Preliminary Study on the Evaluation Value of Extracellular Volume Fraction in the Pathological Grading of Lung Invasive AdenocarcinomaCurrent medical imaging · 2025Article
- Spatial transcriptomics reveals heterogeneity of histological subtypes between lepidic and acinar lung adenocarcinoma.Clinical and translational medicine · 2024Article
- Micropapillary and Solid Histologic Patterns in N1 and N2 Lymph Node Metastases Are Independent Factors of Poor Prognosis in Patients With Stages II to III Lung Adenocarcinoma.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2023Article
- Retrospective Analysis of the Predictive Value ofDiagnostics (Basel, Switzerland) · 2023Article
- The relationship between tumor infiltrating immune cells and the prognosis of patients with lung adenocarcinoma.Journal of thoracic disease · 2023Article
- Distribution of DC Subtypes: CD83+, DC-LAMP+, CD1a+, CD1c+, CD123+, and DC-SIGN+ in the Tumor Microenvironment of Endometrial Cancers-Correlation with Clinicopathologic Features.International journal of molecular sciences · 2023Article
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27 authors at 2 institutions in 1 country.
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Abstract
objectivesPathologists have routinely observed distinct histologic patterns of growth in early-stage lung adenocarcinoma (LUAD), which have been suggested to be associated with prognosis. Herein, we investigated the relationship between LUAD patterns of growth, as defined by the updated international association for the study of lung cancer (IASLC) grading criteria, and differences in the tumor immune microenvironment to identify predictors of response to immunotherapy.
methods174 resected stage I-III LUAD tumors were classified by histologic pattern of growth (i.e. solid, micropapillary, acinar, papillary, and lepidic) and then grouped as well differentiated, moderately differentiated, and poorly differentiated. Comprehensive multiplatform analysis including whole exome sequencing, gene expression profiling, immunohistochemistry, CIBERSORT, and T-cell receptor sequencing was performed and groups were compared for differences in genomic drivers, immune cell infiltrate, clonality, and survival. Finally, multivariate analysis was performed adjusting for pathologic stage and smoking status.
resultsPoorly differentiated tumors demonstrated a strong association with smoking relative to moderately differentiated or well differentiated tumors. However, unlike in prior reports, poorly differentiated tumors were not associated with a worse survival after curative-intent resection. Genomic analysis revealed that poorly differentiated tumors are associated with high tumor mutation burden but showed no association with oncogenic drivers. Immune analyses revealed that poorly differentiated tumors are associated with increased T-cell clonality, expression of PD-L1, and infiltration by cytotoxic CD8 T-cells, activated CD4 T-cells, and pro-inflammatory (M1) macrophages. Finally, multivariate analysis controlling for stage and smoking status confirmed independence of immune differences between IASLC grade groups.
conclusionsPoorly differentiated tumors, as defined by the updated IASLC grading criteria, are associated with a distinct immunogenic tumor microenvironment that predicts for therapeutic response to immune agents, including checkpoint inhibitors, and should be included in the clinical trial design of immunotherapy studies in early-stage lung adenocarcinoma.
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