Multi-omics analysis of genomics, epigenomics and transcriptomics for molecular subtypes and core genes for lung adenocarcinoma

被引：0
|
作者：
Yue Zhao
Yakun Gao
Xiaodong Xu
Jiwu Zhou
He Wang
机构：
[1] Cangzhou Central Hospital,Department II of Radiotherapy
[2] Cangzhou Central Hospital,Department of Ultrasound
[3] Cangzhou Medical College,School of Clinical Medicine
[4] Hebei Medical University,Office of Educational Administration
来源：
BMC Cancer | / 21卷
关键词：
Lung adenocarcinoma; Multi-omics; Prognosis; Methylation; Copy number variation; Subtype;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [1] Multi-omics analysis of genomics, epigenomics and transcriptomics for molecular subtypes and core genes for lung adenocarcinoma
    Zhao, Yue
    Gao, Yakun
    Xu, Xiaodong
    Zhou, Jiwu
    Wang, He
    BMC CANCER, 2021, 21 (01)
  • [2] Integrated multi-omics analysis of genomics, epigenomics, and transcriptomics in ovarian carcinoma
    Zheng, Mingjun
    Hu, Yuexin
    Gou, Rui
    Wang, Jing
    Nie, Xin
    Li, Xiao
    Liu, Qing
    Liu, Juanjuan
    Lin, Bei
    AGING-US, 2019, 11 (12): : 4198 - 4215
  • [3] Multi-omics analysis based on integrated genomics, epigenomics and transcriptomics in pancreatic cancer
    Kong, Lingming
    Liu, Peng
    Zheng, Mingjun
    Xue, Busheng
    Liang, Keke
    Tan, Xiaodong
    EPIGENOMICS, 2020, 12 (06) : 507 - 524
  • [4] Multi-omics analysis at epigenomics and transcriptomics levels reveals prognostic subtypes of lung squamous cell carcinoma
    Xu, Yong
    She, Yunlang
    Li, Yaqiang
    Li, Hao
    Jia, Zihao
    Jiang, Gening
    Liang, Leilei
    Duan, Liang
    BIOMEDICINE & PHARMACOTHERAPY, 2020, 125
  • [5] Integrated multi-omics analysis and machine learning to refine molecular subtypes, prognosis, and immunotherapy in lung adenocarcinoma
    Han, Tao
    Bai, Ying
    Liu, Yafeng
    Dong, Yunjia
    Liang, Chao
    Gao, Lu
    Zhou, Jiawei
    Guo, Jianqiang
    Wu, Jing
    Hu, Dong
    FUNCTIONAL & INTEGRATIVE GENOMICS, 2024, 24 (04)
  • [6] Multi-omics analysis of molecular landscape and heterogeneity in fetal adenocarcinoma of the lung
    Guo, Wei
    Sun, Li
    Chen, Xiaoxi
    Zhou, Haitao
    Yan, Shi
    Zhao, Gang
    Tang, Haimeng
    Bao, Hua
    Wu, Xue
    Shao, Yang
    Lin, Lin
    CANCER RESEARCH, 2023, 83 (07)
  • [7] Multi-omics characterization and machine learning of lung adenocarcinoma molecular subtypes to guide precise chemotherapy and immunotherapy
    Zhang, Yi
    Wang, Yuzhi
    Qian, Haitao
    FRONTIERS IN IMMUNOLOGY, 2024, 15
  • [8] Uncovering Prognosis-related Genes and Pathways by Multi-omics Analysis in Lung Adenocarcinoma
    Asada, Ken
    Kobayashi, Kazuma
    Takahashi, Satoshi
    Takasawa, Ken
    Komatsu, Masaaki
    Kaneko, Syuzo
    Sese, Jun
    Hamamoto, Ryuji
    CANCER SCIENCE, 2021, 112 : 444 - 444
  • [9] Multi-omics analysis of Japanese lung adenocarcinoma including mitochondria omics data
    Asada, Ken
    Bolatkan, Amina
    Shiraishi, Kouya
    Horinouchi, Hidehito
    Yoshida, Yukihiro
    Mukai, Masami
    Yatabe, Yasushi
    Kohno, Takashi
    Hamamoto, Ryuji
    CANCER SCIENCE, 2025, 116 : 106 - 106
  • [10] Integrated multi-omics analysis for lung adenocarcinoma in Xuanwei, China
    Jiang, Boyi
    Yang, Jiapeng
    He, Rui
    Wang, Dong
    Huang, Yunchao
    Zhao, Guangqiang
    Ning, Mingjie
    Zeng, Teng
    Li, Guangjian
    AGING-US, 2023, 15 (23): : 14263 - 14291
12345