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项目编号 PRJCA005792
项目标题 Deciphering cell lineage specification of human lung adenocarcinoma with single-cell RNA sequencing
涉及领域 Medical
数据类型 Transcriptome or Gene expression
Genome sequencing
物种名称 Homo sapiens
描述信息 Lung adenocarcinomas (LUAD) arise from precancerous lesions such as atypical adenomatous hyperplasia, which progress into adenocarcinoma in situ and minimally invasive adenocarcinoma, then finally into invasive adenocarcinoma. The cellular heterogeneity and molecular events underlying this stepwise progression remain unclear. In this study, we performed single-cell RNA sequencing of 268,471 cells collected from 25 patients in four histologic stages of LUAD and compared them to normal epithelial cell types. We detected a group of cells closely resembling alveolar type 2 cells (AT2) that emerged during atypical adenomatous hyperplasia and whose transcriptional profile began to diverge from that of AT2 cells as LUAD progressed, taking on feature characteristic of stem-like cells. We identified several genes related to energy metabolism and ribosome synthesis that were upregulated in early stages of LUAD and may promote progression. MDK and TIMP1 emerged as potential prognostic biomarkers in LUAD. Stromal and immune cells in the lung tumor microenvironment may show tumor-promoting and immune-suppressing activities, making them key determinants of prognosis. Taken together, our data shed light on the underlying transcriptional signatures of distinct histologic stages of LUAD progression and may facilitate early diagnosis and prognostic prediction.
样品范围 Multiisolate
发布日期 2021-07-09
出版信息
PubMed ID 文章标题 杂志名称 Doi 发表年份
39043808 Multi-omics analysis unveils immunosuppressive microenvironment in the occurrence and development of multiple pulmonary lung cancers NPJ Precision Oncology 10.1038/s41698-024-00651-5 2024
39580469 Single-cell RNA sequencing reveals immune microenvironment niche transitions during the invasive and metastatic processes of ground-glass nodules and part-solid nodules in lung adenocarcinoma Molecular Cancer 10.1186/s12943-024-02177-7 2024
39488588 Five-gene prognostic model based on autophagy-dependent cell death for predicting prognosis in lung adenocarcinoma Scientific Reports 10.1038/s41598-024-76186-3 2024
38958577 Integrating machine learning and single‐cell analysis to uncover lung adenocarcinoma progression and prognostic biomarkers Journal of Cellular and Molecular Medicine 10.1111/jcmm.18516 2024
40736341 The Critical Role of APOE + Macrophages in the Immune Microenvironment and Prognosis of Lung Adenocarcinoma Journal of Cellular and Molecular Medicine 10.1111/jcmm.70731 2025
34764257 Deciphering cell lineage specification of human lung adenocarcinoma with single-cell RNA sequencing Nature Communications 10.1038/s41467-021-26770-2 2021
41299024 Machine learning identifies TIME subtypes linking EGFR mutations and immune states in lung adenocarcinoma NPJ Digital Medicine 10.1038/s41746-025-02172-2 2025
40767620 Integrating Single‐Cell Transcriptomics and Machine Learning to Define an ac4C Gene Signature in Lung Adenocarcinoma Thoracic Cancer 10.1111/1759-7714.70140 2025
项目资金来源
机构 项目类型 授权项目ID 授权项目名称
National Natural Science Foundation of China (NSFC) 81871890
提交者 Li Weimin (weimi003@scu.edu.cn)
提交单位 Frontiers Science Center for Disease-related Molecular Networks, West China Hospital, Sichuan University, Chengdu, Sichuan, China
提交日期 2021-07-09

项目包含数据信息

资源名称 描述
BioSample (54)  show -