» Articles » PMID: 37717855

Genetic Intratumor Heterogeneity Remodels the Immune Microenvironment and Induces Immune Evasion in Brain Metastasis of Lung Cancer

Overview
Journal J Thorac Oncol
Publisher Elsevier
Date 2023 Sep 17
PMID 37717855
Authors
Affiliations
Soon will be listed here.
Abstract

Introduction: Brain metastasis, with the highest incidence in patients with lung cancer, significantly worsens prognosis and poses challenges to clinical management. To date, how brain metastasis evades immune elimination remains unknown.

Methods: Whole-exome sequencing and RNA sequencing were performed on 30 matched brain metastasis, primary lung adenocarcinoma, and normal tissues. Data from The Cancer Genome Atlas primary lung adenocarcinoma cohort, including multiplex immunofluorescence, were used to support the findings of bioinformatics analysis.

Results: Our study highlights the key role of intratumor heterogeneity of genomic alterations in the metastasis process, mainly caused by homologous recombination deficiency or other somatic copy number alteration-associated mutation mechanisms, leading to increased genomic instability and genomic complexity. We further proposed a selection model of brain metastatic evolution in which intratumor heterogeneity drives immune remodeling, leading to immune escape through different mechanisms under local immune pressure.

Conclusions: Our findings provide novel insights into the metastatic process and immune escape mechanisms of brain metastasis and pave the way for precise immunotherapeutic strategies for patients with lung cancer with brain metastasis.

Citing Articles

Single-cell and spatial genomic landscape of non-small cell lung cancer brain metastases.

Tagore S, Caprio L, Amin A, Bestak K, Luthria K, DSouza E Nat Med. 2025; .

PMID: 40016452 DOI: 10.1038/s41591-025-03530-z.


Cancer brain metastasis: molecular mechanisms and therapeutic strategies.

Lu Y, Huang Y, Zhu C, Li Z, Zhang B, Sheng H Mol Biomed. 2025; 6(1):12.

PMID: 39998776 PMC: 11861501. DOI: 10.1186/s43556-025-00251-0.


Multi-omics analyses reveal biological and clinical insights in recurrent stage I non-small cell lung cancer.

Wang C, Li J, Chen J, Wang Z, Zhu G, Song L Nat Commun. 2025; 16(1):1477.

PMID: 39929832 PMC: 11811181. DOI: 10.1038/s41467-024-55068-2.


Evolving prognostic paradigms in lung adenocarcinoma with brain metastases: a web-based predictive model enhanced by machine learning.

Liang M, Zhang Z, Wu L, Chen M, Tan S, Huang J Discov Oncol. 2025; 16(1):117.

PMID: 39904937 PMC: 11794753. DOI: 10.1007/s12672-025-01854-3.


The Expression of Programmed Cell Death Ligand-1 and its Relationship with Infiltration, Metastasis and Prognosis in Cervical Squamous Cell Carcinoma.

Ge J, Xu X Reprod Sci. 2025; .

PMID: 39884999 DOI: 10.1007/s43032-024-01784-5.