Layer analysis based on RNA-seq data of TCGA reveals gastric cancer's molecular complexity

被引：0
|
作者：
Wert, J. P. Perez [1 ]
Hernandez-Fernandez, S. [2 ]
Gamez, A. [2 ]
Arranz-Alvarez, M. [3 ]
Ghanem, I. [1 ]
Lopez-Vacas, R. [2 ]
Diaz-Almiron, M. [4 ]
Mendez, C. [5 ]
Fresno-Vara, J-A. [2 ]
Feliu, J. [1 ]
Custodio, A. [1 ]
Trilla, L. [2 ]
机构：
[1] Hosp Univ La Paz, Dept Med Oncol, Madrid, Spain
[2] Hosp Univ La Paz, Inst Med & Mol Genet INGEMM, Mol Oncol & Pathol Lab, Madrid, Spain
[3] IdiPAZ Inst Invest Hosp Univ La Paz, IdiPAZ Biobank, Madrid, Spain
[4] IdiPAZ Inst Invest Hosp Univ La Paz, La Paz Univ Hosp IdiPAZ, Biostat Unit, Madrid, Spain
[5] Hosp Univ La Paz, Dept Pathol, Madrid, Spain
来源：
ANNALS OF ONCOLOGY | 2024年 / 35卷
关键词：
D O I：
10.1016/j.annonc.2024.05.371
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
459P
引用
收藏
页码：S184 / S184
页数：1
相关论文
共 50 条
  • [1] Layer Analysis Based on RNA-Seq Reveals Molecular Complexity of Gastric Cancer
    Perez-Wert, Pablo
    Fernandez-Hernandez, Sara
    Gamez-Pozo, Angelo
    Arranz-Alvarez, Marina
    Ghanem, Ismael
    Lopez-Vacas, Rocio
    Diaz-Almiron, Mariana
    Mendez, Carmen
    Vara, Juan Angel Fresno
    Feliu, Jaime
    Trilla-Fuertes, Lucia
    Custodio, Ana
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2024, 25 (21)
  • [2] Comprehensive analysis of RNA-seq data reveals the complexity of the transcriptome in Brassica rapa
    Chaobo Tong
    Xiaowu Wang
    Jingyin Yu
    Jian Wu
    Wanshun Li
    Junyan Huang
    Caihua Dong
    Wei Hua
    Shengyi Liu
    BMC Genomics, 14
  • [3] Comprehensive analysis of RNA-seq data reveals the complexity of the transcriptome in Brassica rapa
    Tong, Chaobo
    Wang, Xiaowu
    Yu, Jingyin
    Wu, Jian
    Li, Wanshun
    Huang, Junyan
    Dong, Caihua
    Hua, Wei
    Liu, Shengyi
    BMC GENOMICS, 2013, 14
  • [4] RNA-Seq Analysis of Clinical Samples from TCGA Reveal Molecular Signatures for Ovarian Cancer
    Wadapurkar, Rucha M.
    Sivaram, Aruna
    Vyas, Renu
    CANCER INVESTIGATION, 2023, 41 (04) : 394 - 404
  • [5] RNA-Seq Data: A Complexity Journey
    Capobianco, Enrico
    COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 2014, 11 (19): : 123 - 130
  • [6] Bioinformatic analysis of RNA-seq data from TCGA database reveals prognostic significance of immune-related genes in colon cancer
    Ouyang, Yan
    Huang, Jiangtao
    Wang, Yun
    Tang, Fuzhou
    Hu, Zuquan
    Zeng, Zhu
    Zhang, Shichao
    MEDICINE, 2022, 101 (31) : E29962
  • [7] A system level analysis of gastric cancer across tumor stages with RNA-seq data
    Wu, Jun
    Zhao, Xiaodong
    Lin, Zongli
    Shao, Zhifeng
    MOLECULAR BIOSYSTEMS, 2015, 11 (07) : 1925 - 1932
  • [8] Correlation between RNA-Seq and microarrays results using TCGA data
    Chen, Li
    Sun, Fenghao
    Yang, Xiaodong
    Jin, Yulin
    Shi, Mengkun
    Wang, Lin
    Shi, Yu
    Zhan, Cheng
    Wang, Qun
    GENE, 2017, 628 : 200 - 204
  • [9] RNA-seq differential transcription analysis of TCGA colorectal cancer (CRC) transcriptomes reveals subtype-specific isoform usage
    Hu, Yin
    Dienstmann, Rodrigo
    Guinney, Justin
    CANCER RESEARCH, 2015, 75
  • [10] Unraveling the complexity: understanding the deconvolutions of RNA-seq data
    Kavoos Momeni
    Saeid Ghorbian
    Ehsan Ahmadpour
    Rasoul Sharifi
    Translational Medicine Communications, 8 (1)
12345