Plasma cell signatures predict prognosis and treatment efficacy for lung adenocarcinoma

被引：0
|
作者：
Long Shu
Jun Tang
Shuang Liu
Yongguang Tao
机构：
[1] Hunan Cancer Hospital,Hunan Key Laboratory of Cancer Metabolism, The Affiliated Cancer Hospital of Xiangya School of Medicine
[2] Central South University,NHC Key Laboratory of Carcinogenesis (Central South University), Cancer Research Institute, School of Basic Medicine
[3] Central South University,Department of Oncology, Institute of Medical Sciences, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital
[4] Central South University,Key Laboratory of Carcinogenesis and Cancer Invasion, Department of Pathology, Xiangya Hospital, School of Basic Medicine
[5] Ministry of Education,Hunan Key Laboratory of Early Diagnosis and Precision Therapy in Lung Cancer, Department of Thoracic Surgery, Second Xiangya Hospital
[6] Central South University,undefined
[7] Central South University,undefined
来源：
Cellular Oncology | 2024年 / 47卷
关键词：
Plasma cells; Lung adenocarcinoma; Machine learning; Overall survival;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：555 / 571
页数：16
相关论文
共 50 条
  • [1] Plasma cell signatures predict prognosis and treatment efficacy for lung adenocarcinoma
    Shu, Long
    Tang, Jun
    Liu, Shuang
    Tao, Yongguang
    CELLULAR ONCOLOGY, 2024, 47 (02) : 555 - 571
  • [2] Clonal gene signatures predict prognosis in mesothelioma and lung adenocarcinoma
    Lin, Yupei
    Burt, Bryan M.
    Lee, Hyun-Sung
    Nguyen, Thinh T.
    Jang, Hee-Jin
    Lee, Claire
    Hong, Wei
    Ripley, Robert Taylor
    Amos, Christopher I.
    Cheng, Chao
    NPJ PRECISION ONCOLOGY, 2024, 8 (01)
  • [3] Clonal gene signatures predict prognosis in mesothelioma and lung adenocarcinoma
    Yupei Lin
    Bryan M. Burt
    Hyun-Sung Lee
    Thinh T. Nguyen
    Hee-Jin Jang
    Claire Lee
    Wei Hong
    Robert Taylor Ripley
    Christopher I. Amos
    Chao Cheng
    npj Precision Oncology, 8
  • [4] Two phenotypes that predict prognosis in lung adenocarcinoma
    Kalinke, Lukas
    Janes, Sam M.
    EUROPEAN RESPIRATORY JOURNAL, 2022, 60 (01)
  • [5] Anoikis-related gene signatures predict prognosis of lung adenocarcinoma patients and reveal immune infiltration
    Liu, Zhikang
    Zhang, Min
    Cao, Xiong
    Ma, Minjie
    Han, Biao
    TRANSLATIONAL CANCER RESEARCH, 2024, 13 (04) : 1861 - 1875
  • [6] MicroRNA signatures in tissues and plasma predict development and prognosis of computed tomography detected lung cancer
    Boeri, Mattia
    Verri, Carla
    Conte, Davide
    Roz, Luca
    Modena, Piergiorgio
    Facchinetti, Federica
    Calabro, Elisa
    Croce, Carlo M.
    Pastorino, Ugo
    Sozzi, Gabriella
    PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2011, 108 (09) : 3713 - 3718
  • [7] Identification of Four Genes as Prognosis Signatures in Lung Adenocarcinoma Microenvironment
    Yao, Yan
    Zhang, Tingting
    Qi, Lingyu
    Liu, Ruijuan
    Liu, Gongxi
    Li, Jie
    Sun, Changgang
    PHARMACOGENOMICS & PERSONALIZED MEDICINE, 2021, 14 : 15 - 26
  • [8] Development and validation of polyamines metabolism-associated gene signatures to predict prognosis and immunotherapy response in lung adenocarcinoma
    Wang, Ning
    Chai, Mengyu
    Zhu, Lingye
    Liu, Jingjing
    Yu, Chang
    Huang, Xiaoying
    FRONTIERS IN IMMUNOLOGY, 2023, 14
  • [9] Prognostic signature of lipid metabolism associated LncRNAs predict prognosis and treatment of lung adenocarcinoma
    Zhao, Jie
    Li, Guangjian
    Zhao, Guangqiang
    Wang, Wei
    Shen, Zhenghai
    Yang, Yantao
    Huang, Yunchao
    Ye, Lianhua
    FRONTIERS IN ONCOLOGY, 2022, 12
  • [10] Identification and validation of regulatory T cell-associated gene signatures to predict colon adenocarcinoma prognosis
    Zhao, Xiaomeng
    Li, Xuanwen
    Miao, Zhi
    INTERNATIONAL IMMUNOPHARMACOLOGY, 2024, 132
12345