Divergent CD45 immune landscapes shape the lung tumor microenvironment.
1/5 보강
PICO 자동 추출 (휴리스틱, conf 2/4)
유사 논문P · Population 대상 환자/모집단
추출되지 않음
I · Intervention 중재 / 시술
model-specific remodeling
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
[CONCLUSION] Distinct CD45 immune landscapes, characterized by inflammatory suppression in LLC1 and metabolic adaptation in Kras tumors, shape lung tumor biology. This atlas identifies genotype-specific immune vulnerabilities with potential relevance for precision immunotherapy in non-small cell lung cancer.
[BACKGROUND] The lung tumor microenvironment (TME) plays a crucial role in the progression and metastasis of lung cancer.
APA
Dizdarević S, Wiegandt R, et al. (2026). Divergent CD45 immune landscapes shape the lung tumor microenvironment.. Frontiers in immunology, 17, 1765833. https://doi.org/10.3389/fimmu.2026.1765833
MLA
Dizdarević S, et al.. "Divergent CD45 immune landscapes shape the lung tumor microenvironment.." Frontiers in immunology, vol. 17, 2026, pp. 1765833.
PMID
41737220 ↗
Abstract 한글 요약
[BACKGROUND] The lung tumor microenvironment (TME) plays a crucial role in the progression and metastasis of lung cancer. It consists of various cell types that interact in complex ways to influence tumor behavior. CD45 cells, as a component of the TME, have complex and multifaceted roles in lung cancer. The balance between the anti-tumor and pro-tumor functions of CD45 cells can significantly affect lung cancer outcomes. Understanding these roles is essential for developing targeted therapies that harness the beneficial effects of CD45 cells while mitigating their harmful effects.
[METHODS] We performed single-cell RNA sequencing of sorted CD45 immune cells from healthy lungs, orthotopic LLC1 tumors, and Kras (Kras) genetically engineered tumors. Analyses included immune composition, transcriptional programs, differentiation trajectories, metabolic states, and ligand-receptor-based intercellular communication networks.
[RESULTS] Four major immune compartments, B cells, T cells, NK cells, and macrophages, underwent model-specific remodeling. LLC1 tumors showed B cell expansion and T and NK cell reduction, with inflammatory, stress-response, and NF-κB/TNF-dominant programs. Kras tumors retained a balanced immune composition but exhibited metabolic rewiring, elevated antigen-presentation signatures, and selective intercellular signaling. Subclustering revealed specialized changes across B cell (resting, mature, pre-Bcr, late pro-B, plasma), T cell (Cd4, Cd8, memory, activated, Treg, Th17), NK cell (Fcgr3, Fcgr3, Xcl1), and macrophage (Ace, Bcr, Ccr2, Cd3, metabolic, MHCII) subsets. Ligand-receptor analyses highlighted dense inflammatory networks in LLC1 tumors versus metabolically tuned signaling in Kras tumors.
[CONCLUSION] Distinct CD45 immune landscapes, characterized by inflammatory suppression in LLC1 and metabolic adaptation in Kras tumors, shape lung tumor biology. This atlas identifies genotype-specific immune vulnerabilities with potential relevance for precision immunotherapy in non-small cell lung cancer.
[METHODS] We performed single-cell RNA sequencing of sorted CD45 immune cells from healthy lungs, orthotopic LLC1 tumors, and Kras (Kras) genetically engineered tumors. Analyses included immune composition, transcriptional programs, differentiation trajectories, metabolic states, and ligand-receptor-based intercellular communication networks.
[RESULTS] Four major immune compartments, B cells, T cells, NK cells, and macrophages, underwent model-specific remodeling. LLC1 tumors showed B cell expansion and T and NK cell reduction, with inflammatory, stress-response, and NF-κB/TNF-dominant programs. Kras tumors retained a balanced immune composition but exhibited metabolic rewiring, elevated antigen-presentation signatures, and selective intercellular signaling. Subclustering revealed specialized changes across B cell (resting, mature, pre-Bcr, late pro-B, plasma), T cell (Cd4, Cd8, memory, activated, Treg, Th17), NK cell (Fcgr3, Fcgr3, Xcl1), and macrophage (Ace, Bcr, Ccr2, Cd3, metabolic, MHCII) subsets. Ligand-receptor analyses highlighted dense inflammatory networks in LLC1 tumors versus metabolically tuned signaling in Kras tumors.
[CONCLUSION] Distinct CD45 immune landscapes, characterized by inflammatory suppression in LLC1 and metabolic adaptation in Kras tumors, shape lung tumor biology. This atlas identifies genotype-specific immune vulnerabilities with potential relevance for precision immunotherapy in non-small cell lung cancer.
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