A new gene expression-based diagnostic test to predict prognosis of gliomas for the support of histopathologic diagnosis.

被引:0
|
作者
Kato, K.
Shirahata, A.
Kawarazaki, S.
Matoba, R.
Takahashi, J.
机构
[1] Osaka Med Ctr Canc & Cardiovasc Dis, Res Inst, Osaka, Japan
[2] Kyoto Univ, Grad Sch Med, Dept Neurosurg, Kyoto, Japan
[3] DNA Chip Res Inc, Yokohama, Kanagawa, Japan
[4] Kitano Hosp, Dept Neurosurg, Osaka, Japan
关键词
D O I
10.1200/jco.2010.28.15_suppl.2085
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
2085
引用
收藏
页数:1
相关论文
共 50 条
  • [41] A New Risk Score Based on Eight Hepatocellular Carcinoma- Immune Gene Expression Can Predict the Prognosis of the Patients
    Ye, Dingde
    Liu, Yaping
    Li, Guoqiang
    Sun, Beicheng
    Peng, Jin
    Xu, Qingxiang
    FRONTIERS IN ONCOLOGY, 2021, 11
  • [42] Gene Expression Signatures Based on Variability can Robustly Predict Tumor Progression and Prognosis
    Dinalankara, Wikum
    Bravo, Hector Corrada
    CANCER INFORMATICS, 2015, 14 : 71 - 81
  • [43] A new risk score based on twelve hepatocellular carcinoma-specific gene expression can predict the patients' prognosis
    Lin, Ting
    Gu, Jingxian
    Qu, Kai
    Zhang, Xing
    Ma, Xiaohua
    Miao, Runchen
    Xiang, Xiaohong
    Fu, Yunong
    Niu, Wenquan
    She, Junjun
    Liu, Chang
    AGING-US, 2018, 10 (09): : 2480 - 2497
  • [44] Validation of a gene expression-based diagnostic system for malignancy of glioma by multi-institute prospective-retrospective analysis
    Kato, Kikuya
    Shirahata, Mitsuaki
    Narita, Yoshitaka
    Muragaki, Yoshihiro
    Maruno, Motohiko
    Matoba, Ryo
    JOURNAL OF CLINICAL ONCOLOGY, 2013, 31 (15)
  • [45] Amino acid metabolism-related gene expression-based risk signature can better predict overall survival for glioma
    Liu, Yu-Qing
    Chai, Rui-Chao
    Wang, Yong-Zhi
    Wang, Zheng
    Liu, Xing
    Wu, Fan
    Jiang, Tao
    CANCER SCIENCE, 2019, 110 (01): : 321 - 333
  • [46] A 17-gene expression-based prognostic signature associated with the prognosis of patients with breast cancer A STROBE-compliant study
    Qian, Jin-Xian
    Yu, Min
    Sun, Zhe
    Jiang, Ai-Mei
    Long, Bo
    MEDICINE, 2020, 99 (15) : E19255
  • [47] Development and Validation of a Gene Expression-Based Nomogram to Predict Relapse in Stage I NSCLC: A Retrospective, Multi-Cohort Study
    Mao, Q.
    Xu, L.
    JOURNAL OF THORACIC ONCOLOGY, 2018, 13 (10) : S832 - S833
  • [48] Ontology-based framework for personalized diagnosis and prognosis of cancer based on gene expression data
    Hu, Yingjie
    Kasabov, Nikola
    NEURAL INFORMATION PROCESSING, PART II, 2008, 4985 : 846 - 855
  • [49] A new paradigm for leprosy diagnosis based on host gene expression
    Leal-Calvo, Thyago
    Avanzi, Charlotte
    Mendes, Mayara Abud
    Benjak, Andrej
    Busso, Philippe
    Pinheiro, Roberta Olmo
    Sarno, Euzenir Nunes
    Cole, Stewart Thomas
    Moraes, Milton Ozorio
    PLOS PATHOGENS, 2021, 17 (10)
  • [50] A general method to derive robust organ-specific gene expression-based differentiation indices: application to thyroid cancer diagnostic
    Tomas, G.
    Tarabichi, M.
    Gacquer, D.
    Hebrant, A.
    Dom, G.
    Dumont, J. E.
    Keutgen, X.
    Fahey, T. J., III
    Maenhaut, C.
    Detours, V.
    ONCOGENE, 2012, 31 (41) : 4490 - 4498