Multi-Omics Analysis in Initiation and Progression of Meningiomas: From Pathogenesis to Diagnosis

被引:8
|
作者
Liu, Jiachen [1 ]
Xia, Congcong [1 ]
Wang, Gaiqing [2 ,3 ]
机构
[1] Cent South Univ, Xiangya Med Coll, Med Clin, Changsha, Peoples R China
[2] Third Peoples Hosp Hainan Prov, Sanya Cent Hosp, Dept Neurol, Sanya, Peoples R China
[3] Shanxi Med Univ, Dept Neurol, Taiyuan, Peoples R China
来源
FRONTIERS IN ONCOLOGY | 2020年 / 10卷
关键词
meningiomas; biomarker; genomics; epigenomics; transcriptomics; proteomics; MOLECULAR CHARACTERISTICS; CLASSIFICATION; RISK; MULTICENTER; EXPRESSION; GENOMICS; SURVIVAL; SYSTEM; TUMORS;
D O I
10.3389/fonc.2020.01491
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Meningiomas are common intracranial tumors that can be cured by surgical resection in most cases. However, the most disconcerting is high-grade meningiomas, which frequently recur despite initial successful treatment, eventually conferring poor prognosis. Therefore, the early diagnosis and classification of meningioma is necessary for the subsequent intervention and an improved prognosis. A growing body of evidence demonstrates the potential of multi-omics study (including genomics, transcriptomics, epigenomics, proteomics) for meningioma diagnosis and mechanistic links to potential pathological mechanism. This thesis addresses a neglected aspect of recent advances in the field of meningiomas at multiple omics levels, highlighting that the integration of multi-omics can reveal the mechanism of meningiomas, which provides a timely and necessary scientific basis for the treatment of meningiomas.
引用
收藏
页数:9
相关论文
共 50 条
  • [31] Machine learning for the analysis of multi-omics data
    Sun, Yanni
    METHODS, 2021, 189 : 1 - 2
  • [32] Comprehensive multi-omics analysis of central neurocytoma
    Nakashima, Takuma
    Yajima, Hirohisa
    Uneda, Atsuhito
    Sugihara, Yuriko
    Yamamoto, Ryo
    Sonoda, Yukihiko
    Nagane, Motoo
    Kurozumi, Kazuhiko
    Suzuki, Tomonari
    Kumabe, Toshihiro
    Tanaka, Shota
    Ishida, Joji
    Kanamori, Masayuki
    Narita, Yoshitaka
    Suzuki, Hiromichi
    CANCER SCIENCE, 2024, 115 : 206 - 206
  • [33] Multi-omics analysis in developmental bone biology
    Matsushita, Yuki
    Noguchi, Azumi
    Ono, Wanida
    Ono, Noriaki
    JAPANESE DENTAL SCIENCE REVIEW, 2023, 59 : 412 - 420
  • [34] Multi-omics Analysis of Colorectal Cancer Metabolism
    Soga, Tomoyoshi
    CANCER SCIENCE, 2018, 109 : 193 - 193
  • [35] Multi-omics single-cell analysis
    Rusk, Nicole
    NATURE METHODS, 2019, 16 (08) : 679 - 679
  • [36] Multi-omics analysis of inflammatory bowel disease
    Huang, Hu
    Vangay, Pajau
    McKinlay, Christopher E.
    Knights, Dan
    IMMUNOLOGY LETTERS, 2014, 162 (02) : 62 - 68
  • [37] From Omics to Multi-Omics Approaches for In-Depth Analysis of the Molecular Mechanisms of Prostate Cancer
    Nevedomskaya, Ekaterina
    Haendler, Bernard
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2022, 23 (11)
  • [38] From Mendel to multi-omics: shifting paradigms
    Mersha, Tesfaye B.
    EUROPEAN JOURNAL OF HUMAN GENETICS, 2024, 32 (02) : 139 - 142
  • [39] From data to knowledge: The future of multi-omics data analysis for the rhizosphere
    White, Richard Allen, III
    Borkum, Mark I.
    Rivas-Ubach, Albert
    Bilbao, Aivett
    Wendler, Jason P.
    Colby, Sean M.
    Koeberl, Martina
    Jansson, Christer
    RHIZOSPHERE, 2017, 3 : 222 - 229
  • [40] Identification of biomarkers for early diagnosis of Parkinson's disease by multi-omics joint analysis
    Hu, Chaokai
    Ke, Cherng Jyh
    Wu, Chungyu
    SAUDI JOURNAL OF BIOLOGICAL SCIENCES, 2020, 27 (08) : 2082 - 2088