Single-cell transcriptome atlas of lung adenocarcinoma featured with ground glass nodules

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作者
Tao Lu
Xiaodong Yang
Yu Shi
Mengnan Zhao
Guoshu Bi
Jiaqi Liang
Zhencong Chen
Yiwei Huang
Wei Jiang
Zongwu Lin
Junjie Xi
Shuai Wang
Yong Yang
Cheng Zhan
Qun Wang
Lijie Tan
机构
[1] Fudan University,Department of Thoracic Surgery, Zhongshan Hospital
[2] First Affiliated Hospital of Soochow University,Department of Cardio
[3] Suzhou Hospital affiliated to Nanjing Medical University,Thoracic Surgery
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As an early type of lung adenocarcinoma, ground glass nodule (GGN) has been detected increasingly and now accounts for most lung cancer outpatients. GGN has a satisfactory prognosis and its characteristics are quite different from solid adenocarcinoma (SADC). We compared the GGN adenocarcinoma (GGN-ADC) with SADC using the single-cell RNA sequencing (scRNA-seq) to fully understand GGNs. The tumor samples of five patients with lung GGN-ADCs and five with SADCs underwent surgery were digested to a single-cell suspension and analyzed using 10× Genomic scRNA-seq techniques. We obtained 60,459 cells and then classified them as eight cell types, including cancer cells, endothelial cells, fibroblasts, T cells, B cells, Nature killer cells, mast cells, and myeloid cells. We provided a comprehensive description of the cancer cells and stromal cells. We found that the signaling pathways related to cell proliferation were downregulated in GGN-ADC cancer cells, and stromal cells had different effects in GGN-ADC and SADC based on the analyses of scRNA-seq results. In GGN-ADC, the signaling pathways of angiogenesis were downregulated, fibroblasts expressed low levels of some collagens, and immune cells were more activated. Furthermore, we used flow cytometry to isolate the cancer cells and T cells in 12 GGN-ADC samples and in an equal number of SADC samples, including CD4+ T and CD8+ T cells, and validated the expression of key molecules by quantitative real-time polymerase chain reaction analyses. Through comprehensive analyses of cell phenotypes in GGNs, we provide deep insights into lung carcinogenesis that will be beneficial in lung cancer prevention and therapy.
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