Integrated single-cell RNA sequencing analysis reveals distinct cellular and transcriptional modules associated with survival in lung cancer

综合单细胞 RNA 测序分析揭示与肺癌生存相关的不同细胞和转录模块

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作者:Li Zhang #, Yiming Zhang #, Chengdi Wang #, Ying Yang, Yinyun Ni, Zhoufeng Wang, Tingting Song, Menglin Yao, Zhiqiang Liu, Ningning Chao, Yongfeng Yang, Jun Shao, Zhidan Li, Ran Zhou, Li Chen, Dan Zhang, Yuancun Zhao, Wei Liu, Yupeng Li, Ping He, Jing-Wen Lin, Yuan Wang, Kang Zhang, Lu Chen, Weimin

Abstract

Lung adenocarcinoma (LUAD) and squamous carcinoma (LUSC) are two major subtypes of non-small cell lung cancer with distinct pathologic features and treatment paradigms. The heterogeneity can be attributed to genetic, transcriptional, and epigenetic parameters. Here, we established a multi-omics atlas, integrating 52 single-cell RNA sequencing and 2342 public bulk RNA sequencing. We investigated their differences in genetic amplification, cellular compositions, and expression modules. We revealed that LUAD and LUSC contained amplifications occurring selectively in subclusters of AT2 and basal cells, and had distinct cellular composition modules associated with poor survival of lung cancer. Malignant and stage-specific gene analyses further uncovered critical transcription factors and genes in tumor progression. Moreover, we identified subclusters with proliferating and differentiating properties in AT2 and basal cells. Overexpression assays of ten genes, including sub-cluster markers AQP5 and KPNA2, further indicated their functional roles, providing potential targets for early diagnosis and treatment in lung cancer.

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