TRANSCRIPTOME-WIDE NETWORK ANALYSIS PREDICTS THE ROLE OF LACTATE DEHYDROGENASE C IN BREAST CANCER CELL SURVIVAL AND IMMUNE DYSFUNCTION

被引：0
|
作者：
Naik, A. [1 ]
Decock, J. [1 ]
机构：
[1] Qatar Biomed Res Inst, Doha, Qatar
来源：
JOURNAL FOR IMMUNOTHERAPY OF CANCER | 2021年 / 9卷
关键词：
D O I：
10.1136/jitc-2021-ITOC8.38
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
P06.04
引用
收藏
页码：A20 / A21
页数：2
相关论文
共 50 条
  • [41] SQUAMOSA Promoter Binding Protein-Like (SPL) Gene Family: TRANSCRIPTOME-Wide Identification, Phylogenetic Relationship, Expression Patterns and Network Interaction Analysis in Panax ginseng C. A. Meyer
    Li, Shaokun
    Li, Li
    Jiang, Yang
    Wu, Jun
    Sun, Honghua
    Zhao, Mingzhu
    Jiang, Yue
    Zhu, Lei
    Wang, Yanfang
    Su, Yingjie
    Wang, Kangyu
    Wang, Yi
    Zhang, Meiping
    PLANTS-BASEL, 2020, 9 (03):
  • [42] Exploring the therapeutic potential of cell-penetrating peptide-assisted siRNA delivery to target Lactate dehydrogenase C (LDHC) in triple-negative breast Cancer
    Qasem, H.
    Naik, A.
    Decock, J.
    EUROPEAN JOURNAL OF CANCER, 2024, 211 : S37 - S37
  • [43] Pretreatment lactate dehydrogenase may predict outcome of advanced non small-cell lung cancer patients treated with immune checkpoint inhibitors: A meta-analysis
    Zhang, Zhibo
    Li, Ye
    Yan, Xiang
    Song, Qi
    Wang, Guoqiang
    Hu, Yi
    Jiao, Shunchang
    Wang, Jinliang
    CANCER MEDICINE, 2019, 8 (04): : 1467 - 1473
  • [44] Transcriptome-Based Network Analysis Unveils Eight Immune-Related Genes as Molecular Signatures in the Immunomodulatory Subtype of Triple-Negative Breast Cancer
    Zhang, Jinguo
    Wang, Li
    Xu, Xiaolin
    Li, Xin
    Guan, Wencai
    Meng, Ting
    Xu, Guoxiong
    FRONTIERS IN ONCOLOGY, 2020, 10
  • [45] Tumor Heterogeneity Regarding Radiosensitivity, Recurrence Risk, and Immune-Checkpoint in Breast Cancer: Transcriptome Analysis of Single-cell RNA Sequencing Data
    Jang, B. S.
    Han, W.
    Kim, I. A.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2019, 105 (01): : E664 - E664
  • [46] Weighted gene co-expression network analysis identifies a novel immune-related gene signature and nomogram to predict the survival and immune infiltration status of breast cancer
    Liu, Junxia
    Pang, Ke
    He, Fei
    BIOCELL, 2022, 46 (07) : 1661 - 1673
  • [47] An eight-lncRNA signature predicts survival of breast cancer patients: a comprehensive study based on weighted gene co-expression network analysis and competing endogenous RNA network
    Sun, Min
    Wu, Di
    Zhou, Ke
    Li, Heng
    Gong, Xingrui
    Wei, Qiong
    Du, Mengyu
    Lei, Peijie
    Zha, Jin
    Zhu, Hongrui
    Gu, Xinsheng
    Huang, Dong
    BREAST CANCER RESEARCH AND TREATMENT, 2019, 175 (01) : 59 - 75
  • [48] Transcriptome analysis reveals the potential role of neural factor EN1 for long-terms survival in estrogen receptor-independent breast cancer
    Ren, He
    Liu, Shan
    Ji, Dongchen
    Li, Xue
    Sun, Xue
    Wang, Wenzheng
    Liu, Tong
    Li, Yingpu
    MOLECULAR THERAPY ONCOLOGY, 2025, 33 (02):
  • [49] An eight-lncRNA signature predicts survival of breast cancer patients: a comprehensive study based on weighted gene co-expression network analysis and competing endogenous RNA network
    Min Sun
    Di Wu
    Ke Zhou
    Heng Li
    Xingrui Gong
    Qiong Wei
    Mengyu Du
    Peijie Lei
    Jin Zha
    Hongrui Zhu
    Xinsheng Gu
    Dong Huang
    Breast Cancer Research and Treatment, 2019, 175 : 59 - 75
  • [50] Transcriptome analysis reveals the link between lncRNA-mRNA co-expression network and tumor immune microenvironment and overall survival in head and neck squamous cell carcinoma
    Zhaoming Zhong
    Min Hong
    Xiao Chen
    Yan Xi
    Yuanyuan Xu
    Deyu Kong
    Jun Deng
    Yun Li
    Rui Hu
    Chuanzheng Sun
    Jin Liang
    BMC Medical Genomics, 13
12345