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

Chengdi Wang (), Jingwei Li, Jingyao Chen, Zhoufeng Wang, Guonian Zhu, Lujia Song, Jiayang Wu, Changshu Li, Rong Qiu, Xuelan Chen, Li Zhang () and Weimin Li ()
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Chengdi Wang: Sichuan University
Jingwei Li: Sichuan University
Jingyao Chen: Sichuan University
Zhoufeng Wang: Sichuan University
Guonian Zhu: Sichuan University
Lujia Song: Sichuan University
Jiayang Wu: Sichuan University
Changshu Li: Sichuan University
Rong Qiu: Suining Central Hospital
Xuelan Chen: West China Hospital
Li Zhang: Sichuan University
Weimin Li: Sichuan University

Nature Communications, 2025, vol. 16, issue 1, 1-19

Abstract: Abstract Post-operative recurrence rates of stage I non-small cell lung cancer (NSCLC) range from 20% to 40%. Nonetheless, the molecular mechanisms underlying recurrence hitherto remain largely elusive. Here, we generate genomic, epigenomic and transcriptomic profiles of paired tumors and adjacent tissues from 122 stage I NSCLC patients, among which 57 patients develop recurrence after surgery during follow-up. Integrated analyses illustrate that the presence of predominantly solid or micropapillary histological subtypes, increased genomic instability, and APOBEC-related signature are associated with recurrence. Furthermore, TP53 missense mutation in DNA-binding domain could contribute to shorter time to recurrence. DNA hypomethylation is pronounced in recurrent NSCLC, and PRAME is the significantly hypomethylated and overexpressed gene in recurrent lung adenocarcinoma (LUAD). Mechanistically, hypomethylation at TEAD1 binding site facilitates the transcriptional activation of PRAME. Inhibition of PRAME restrains the tumor metastasis via downregulation of epithelial–mesenchymal transition-related genes. We also identify that enrichment of AT2 cells with higher copy number variation burden, exhausted CD8 + T cells and Macro_SPP1, along with the reduced interaction between AT2 and immune cells, is essential for the formation of ecosystem in recurrent LUAD. Finally, multi-omics clustering could stratify the NSCLC patients into 4 subclusters with varying recurrence risk and subcluster-specific therapeutic vulnerabilities. Collectively, this study constitutes a promising resource enabling insights into the biological mechanisms and clinical management for post-operative recurrence of stage I NSCLC.

Date: 2025
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DOI: 10.1038/s41467-024-55068-2

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