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The dynamic dysregulated network identifies stage-specific markers during lung adenocarcinoma malignant progression and metastasis.
Wang, Li; Liu, Wangyang; Liu, Kailai; Wang, Lixia; Yin, Xiangzhe; Bo, Lin; Xu, Haotian; Lin, Shihua; Feng, Ke; Zhou, Xinyu; Lin, Lin; Fei, Meiting; Zhang, Caiyu; Ning, Shangwei; Zhao, Hongying.
Affiliation
  • Wang L; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
  • Liu W; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
  • Liu K; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
  • Wang L; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
  • Yin X; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
  • Bo L; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
  • Xu H; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
  • Lin S; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
  • Feng K; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
  • Zhou X; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
  • Lin L; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
  • Fei M; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
  • Zhang C; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
  • Ning S; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
  • Zhao H; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150081, China.
Mol Ther Nucleic Acids ; 30: 633-647, 2022 Dec 13.
Article in En | MEDLINE | ID: mdl-36514354
ABSTRACT
Brain metastasis occurs in approximately 30% of patients with lung adenocarcinoma (LUAD) and is closely associated with poor prognosis, recurrence, and death. However, dynamic gene regulation and molecular mechanism driving LUAD progression remain poorly understood. In this study, we performed a comprehensive single-cell transcriptome analysis using data from normal, early stage, advanced stage, and brain metastasis LUAD. Our single-cell-level analysis reveals the cellular composition heterogeneity at different stages during LUAD progression. We identified stage-specific risk genes that could contribute to LUAD progression and metastasis by reprogramming immune-related and metabolic-related functions. We constructed an early advanced metastatic dysregulated network and revealed the dynamic changes in gene regulations during LUAD progression. We identified 6 early advanced (HLA-DRB1, HLA-DQB1, SFTPB, SFTPC, PLA2G1B, and FOLR1), 8 advanced metastasis (RPS15, RPS11, RPL13A, RPS24, HLA-DRB5, LYPLA1, KCNJ15, and PSMA3), and 2 common risk genes in different stages (SFTPD and HLA-DRA) as prognostic markers in LUAD. Particularly, decreased expression of HLA-DRA, HLA-DRB1, HLA-DQB1, and HLA-DRB5 refer poor prognosis in LUAD by controlling antigen processing and presentation and T cell activation. Increased expression of PSMA3 and LYPLA1 refer poor prognosis by reprogramming fatty acid metabolism and RNA catabolic process. Our findings will help further understanding the pathobiology of brain metastases in LUAD.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Mol Ther Nucleic Acids Year: 2022 Document type: Article Affiliation country: China
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Prognostic_studies Language: En Journal: Mol Ther Nucleic Acids Year: 2022 Document type: Article Affiliation country: China