Multi-omics data integration of early lung adenocarcinoma reveals an association between radiomics features and tumor biology

被引:0
|
作者
Senosain, Maria-Fernanda [1 ]
Zou, Yong [2 ]
Patel, Khushbu [2 ]
Pancaldi, Vera [3 ]
Lopez, Carlos F. [1 ]
Massion, Pierre P. [2 ]
机构
[1] Vanderbilt Univ, 221 Kirkland Hall, Nashville, TN 37235 USA
[2] Vanderbilt Univ, Med Ctr, Nashville, TN USA
[3] INSERM, Canc Res Ctr Toulouse, Toulouse, France
关键词
D O I
暂无
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
2702
引用
收藏
页数:2
相关论文
共 50 条
  • [1] Integration of multi-omics data for survival prediction of lung adenocarcinoma
    Guo, Dingjie
    Wang, Yixian
    Chen, Jing
    Liu, Xin
    COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2024, 250
  • [2] Integration of multi-omics data reveals molecular features of Hispanic hepatocellular carcinoma
    Das, Debodipta
    Wang, Xiaojing
    Chiu, Yu-Chiao
    Bouamar, Hakim
    Chen, Yidong
    Zheng, Siyuan
    Cigarroa, Francisco G.
    Sun, Lu-Zhe
    CANCER RESEARCH, 2022, 82 (12)
  • [3] Integrated Multi-omics Analysis of Early Lung Adenocarcinoma Links Tumor Biological Features with Predicted Indolence or Aggressiveness
    Senosain, Maria-Fernanda
    Zou, Yong
    Patel, Khushbu
    Zhao, Shilin
    Coullomb, Alexis
    Rowe, Dianna J.
    Lehman, Jonathan M.
    Irish, Jonathan M.
    Maldonado, Fabien
    Kammer, Michael N.
    Pancaldi, Vera
    Lopez, Carlos F.
    CANCER RESEARCH COMMUNICATIONS, 2023, 3 (07): : 1350 - 1365
  • [4] Attention-Fusion Model for Multi-omics (AMMO) Data Integration in Lung Adenocarcinoma
    Li, Wentao
    Muneer, Amgad
    Waqas, Muhammad
    Zhou, Xiaobo
    Wu, Jia
    COMPUTATIONAL MATHEMATICS MODELING IN CANCER ANALYSIS, CMMCA 2024, 2025, 15181 : 52 - 60
  • [5] Phenotype profiling of tumor microenvironment in EGFR mutant lung adenocarcinoma with multi-omics data
    Lee, You Won
    Lee, Eun Ji
    Oh, Seung Yeon
    Pyo, Kyoung-Ho
    Heo, Seong Gu
    Park, YoungJoon
    Choi, Su-Jin
    Lim, Kyumin
    Lee, Ju-Hyeon
    Kim, Jae Hwan
    Lee, Jii Bum
    Lee, Ji Yoon
    Lim, Sun Min
    Kim, Chang Gon
    Hong, Min Hee
    Yun, Mi Ran
    Cho, Byoung Chul
    CANCER RESEARCH, 2023, 83 (07)
  • [6] Multi-omics data analysis reveals the biological implications of alternative splicing events in lung adenocarcinoma
    Hu, Fuyan
    Chen, Bifeng
    Wang, Qing
    Yang, Zhiyuan
    Chu, Man
    JOURNAL OF BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 2023, 21 (04)
  • [7] 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
  • [8] Multi-omics data integration reveals correlated regulatory features of triple negative breast cancer
    Chappell, Kevin
    Manna, Kanishka
    Washam, Charity L.
    Graw, Stefan
    Alkam, Duah
    Thompson, Matthew D.
    Zafar, Maroof Khan
    Hazeslip, Lindsey
    Randolph, Christopher
    Gies, Allen
    Bird, Jordan T.
    Byrd, Alicia K.
    Miah, Sayem
    Byrum, Stephanie D.
    MOLECULAR OMICS, 2021, 17 (05) : 677 - 691
  • [9] Multi-omics integration reveals a nonlinear signature that precedes progression of lung fibrosis
    Pattaroni, Celine
    Begka, Christina
    Cardwell, Bailey
    Jaffar, Jade
    Macowan, Matthew
    Harris, Nicola L.
    Westall, Glen P.
    Marsland, Benjamin J.
    CLINICAL & TRANSLATIONAL IMMUNOLOGY, 2024, 13 (01)
  • [10] Integrating multi-omics data reveals neuroblastoma subtypes in the tumor microenvironment
    Fan, Jinhua
    Tang, Shuxin
    Kong, Xiangru
    Cun, Yupeng
    LIFE SCIENCES, 2024, 359