Integrative multi-omics analysis enables a comprehensive characterization of prostate cancer and unveils metastasis-associated candidate biomarkers

被引:0
|
作者
Villa, M. [1 ]
Cazzaniga, G. [1 ]
Bolognesi, M. [1 ]
Crippa, V. [1 ]
Malighetti, F. [1 ]
Aroldi, A. [1 ]
Perri, D. [2 ]
Mazzoleni, F. [2 ]
Bozzini, G. [2 ]
Pagni, F. [1 ]
Piazza, R. [1 ]
Mologni, L. [1 ]
Ramazzotti, D. [1 ]
机构
[1] Univ Milano Bicocca, Dept Med & Surg, Milan, Italy
[2] St Anna Hosp, Dept Urol, Como, Italy
关键词
D O I
暂无
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
A0543
引用
收藏
页码:S1436 / S1436
页数:1
相关论文
共 50 条
  • [1] Integrative multi-omics analysis enables a comprehensive characterization of prostate cancer and unveils metastasis-associated candidate biomarkers
    Villa, Matteo
    Cazzaniga, Giorgio
    Bolognesi, Maddalena
    Crippa, Valentina
    Malighetti, Federica
    Aroldi, Andrea
    Bozzini, Giorgio
    Pagni, Fabio
    Piazza, Rocco
    Mologni, Luca
    Ramazzotti, Daniele
    CANCER RESEARCH, 2024, 84 (06)
  • [2] An integrative multi-omics analysis to identify candidate DNA methylation biomarkers related to prostate cancer risk
    Lang Wu
    Yaohua Yang
    Xingyi Guo
    Xiao-Ou Shu
    Qiuyin Cai
    Xiang Shu
    Bingshan Li
    Ran Tao
    Chong Wu
    Jason B. Nikas
    Yanfa Sun
    Jingjing Zhu
    Monique J. Roobol
    Graham G. Giles
    Hermann Brenner
    Esther M. John
    Judith Clements
    Eli Marie Grindedal
    Jong Y. Park
    Janet L. Stanford
    Zsofia Kote-Jarai
    Christopher A. Haiman
    Rosalind A. Eeles
    Wei Zheng
    Jirong Long
    Nature Communications, 11
  • [3] An integrative multi-omics analysis to identify candidate DNA methylation biomarkers related to prostate cancer risk
    Wu, Lang
    Yang, Yaohua
    Guo, Xingyi
    Shu, Xiao-Ou
    Cai, Qiuyin
    Shu, Xiang
    Li, Bingshan
    Tao, Ran
    Wu, Chong
    Nikas, Jason B.
    Sun, Yanfa
    Zhu, Jingjing
    Roobol, Monique J.
    Giles, Graham G.
    Brenner, Hermann
    John, Esther M.
    Clements, Judith
    Grindedal, Eli Marie
    Park, Jong Y.
    Stanford, Janet L.
    Kote-Jarai, Zsofia
    Haiman, Christopher A.
    Eeles, Rosalind A.
    Zheng, Wei
    NATURE COMMUNICATIONS, 2020, 11 (01)
  • [4] Computational identification and characterization of glioma candidate biomarkers through multi-omics integrative profiling
    Lin Liu
    Guangyu Wang
    Liguo Wang
    Chunlei Yu
    Mengwei Li
    Shuhui Song
    Lili Hao
    Lina Ma
    Zhang Zhang
    Biology Direct, 15
  • [5] Computational identification and characterization of glioma candidate biomarkers through multi-omics integrative profiling
    Liu, Lin
    Wang, Guangyu
    Wang, Liguo
    Yu, Chunlei
    Li, Mengwei
    Song, Shuhui
    Hao, Lili
    Ma, Lina
    Zhang, Zhang
    BIOLOGY DIRECT, 2020, 15 (01)
  • [6] An Integrative Multi-Omics Analysis Based on Nomogram for Predicting Prostate Cancer Bone Metastasis Incidence
    Zhao, Jun
    Wang, Rui
    Sun, Xiaoxin
    Huang, Kai
    Jin, Jiacheng
    Lan, Lan
    Jian, Yuli
    Xu, Zhongyang
    Wu, Haotian
    Wang, Shujing
    Wang, Jianbo
    GENETICS RESEARCH, 2022, 2022
  • [7] Integrative multi-omics analysis unveils stemness-associated molecular subtypes in prostate cancer and pan-cancer: prognostic and therapeutic significance
    Zheng, Kun
    Hai, Youlong
    Xi, Yue
    Zhang, Yukun
    Liu, Zheqi
    Chen, Wantao
    Hu, Xiaoyong
    Zou, Xin
    Hao, Jie
    JOURNAL OF TRANSLATIONAL MEDICINE, 2023, 21 (01)
  • [8] Integrative multi-omics analysis unveils stemness-associated molecular subtypes in prostate cancer and pan-cancer: prognostic and therapeutic significance
    Kun Zheng
    Youlong Hai
    Yue Xi
    Yukun Zhang
    Zheqi Liu
    Wantao Chen
    Xiaoyong Hu
    Xin Zou
    Jie Hao
    Journal of Translational Medicine, 21
  • [9] Integrative Multi-Omics Analysis Reveals Candidate Biomarkers for Oral Squamous Cell Carcinoma
    Wan, Zhengqing
    Xiong, Haofeng
    Tan, Xian
    Su, Tong
    Xia, Kun
    Wang, Danling
    FRONTIERS IN ONCOLOGY, 2022, 11
  • [10] Characterization of cancer subtypes associated with clinical outcomes by multi-omics integrative clustering
    Crippa, Valentina
    Malighetti, Federica
    Villa, Matteo
    Graudenzi, Alex
    Piazza, Rocco
    Mologni, Luca
    Ramazzotti, Daniele
    COMPUTERS IN BIOLOGY AND MEDICINE, 2023, 162