Survival Analysis of Multi-Omics Data Identifies Potential Prognostic Markers of Pancreatic Ductal Adenocarcinoma

被引:51
|
作者
Mishra, Nitish Kumar [1 ]
Southekal, Siddesh [1 ]
Guda, Chittibabu [1 ]
机构
[1] Univ Nebraska Med Ctr, Dept Genet Cell Biol & Anat, Omaha, NE 68198 USA
基金
美国国家卫生研究院;
关键词
Dm-CpG: Differentially methylated CpG; DMR: differentially methylated region; DEG: differentially expressed gene; HR: hazard ratio; TCGA: The Cancer Genome Atlas; GDC: The Genomic Data Commons; FDR: false discovery rate; PROMOTES CELL-PROLIFERATION; CPG ISLAND METHYLATION; GENOME-WIDE ANALYSIS; DNA METHYLATION; BREAST-CANCER; R PACKAGE; EXPRESSION; GENE; METASTASIS; OVEREXPRESSION;
D O I
10.3389/fgene.2019.00624
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
Pancreatic ductal adenocarcinoma (PDAC) is the most common and among the deadliest of pancreatic cancers. Its 5-year survival is only similar to 8%. Pancreatic cancers are a heterogeneous group of diseases, of which PDAC is particularly aggressive. Like many other cancers, PDAC also starts as a pre-invasive precursor lesion (known as pancreatic intraepithelial neoplasia, PanIN), which offers an opportunity for both early detection and early treatment. Even advanced PDAC can benefit from prognostic biomarkers. However, reliable biomarkers for early diagnosis or those for prognosis of therapy remain an unfulfilled goal for PDAC. In this study, we selected 153 PDAC patients from the TCGA database and used their clinical, DNA methylation, gene expression, and micro-RNA (miRNA) and long non-coding RNA (IncRNA) expression data for multi-omics analysis. Differential methylations at about 12,000 CpG sites were observed in PDAC tumor genomes, with about 61% of them hypermethylated, predominantly in the promoter regions and in CpG-islands. We correlated promoter methylation and gene expression for mRNAs and identified 17 genes that were previously recognized as PDAC biomarkers. Similarly, several genes (B3GNT3, DMBT1, DEPDC1B) and IncRNAs (PVT1, and GATA6-AS) are strongly correlated with survival, which have not been reported in PDAC before. Other genes such as EFR3B, whose biological roles are not well known in mammals are also found to strongly associated with survival. We further identified 406 promoter methylation target loci associated with patients survival, including known esophageal squamous cell carcinoma biomarkers, cg03234186 (ZNF154), and cg02587316, cg18630667, and cg05020604 (ZNF382). Overall, this is one of the first studies that identified survival associated genes using multi-omics data from PDAC patients.
引用
收藏
页数:18
相关论文
共 50 条
  • [41] Multi-omics analysis reveals the functional transcription and potential translation of enhancers
    Wu, Yingcheng
    Yang, Yang
    Gu, Hongyan
    Tao, Baorui
    Zhang, Erhao
    Wei, Jinhuan
    Wang, Zhou
    Liu, Aifen
    Sun, Rong
    Chen, Miaomiao
    Fan, Yihui
    Mao, Renfang
    INTERNATIONAL JOURNAL OF CANCER, 2020, 147 (08) : 2210 - 2224
  • [42] The benefits of smoking cessation on survival in cancer patients by integrative analysis of multi-omics data
    Yang, Sheng
    Liu, Tong
    Liang, Geyu
    MOLECULAR ONCOLOGY, 2020, 14 (09) : 2069 - 2080
  • [43] Integrative analysis of multi-omics data for liquid biopsy
    Chen, Geng
    Zhang, Jing
    Fu, Qiaoting
    Taly, Valerie
    Tan, Fei
    BRITISH JOURNAL OF CANCER, 2023, 128 (04) : 505 - 518
  • [44] An integrated multi-omics approach identifies the landscape of interferon-α-mediated responses of human pancreatic beta cells
    Colli, Maikel L.
    Ramos-Rodriguez, Mireia
    Nakayasu, Ernesto S.
    Alvelos, Maria, I
    Lopes, Miguel
    Hill, Jessica L. E.
    Turatsinze, Jean-Valery
    de Brachene, Alexandra Coomans
    Russell, Mark A.
    Raurell-Vila, Helena
    Castela, Angela
    Juan-Mateu, Jonas
    Webb-Robertson, Bobbie-Jo M.
    Krogvold, Lars
    Dahl-Jorgensen, Knut
    Marselli, Lorella
    Marchetti, Piero
    Richardson, Sarah J.
    Morgan, Noel G.
    Metz, Thomas O.
    Pasquali, Lorenzo
    Eizirik, Decio L.
    NATURE COMMUNICATIONS, 2020, 11 (01)
  • [45] An Integrated Multi-Omics Analysis Identifying Immune Subtypes of Pancreatic Cancer
    Su, Yongcheng
    Wang, Fen
    Lei, Ziyu
    Li, Jiangquan
    Ma, Miaomiao
    Yan, Ying
    Zhang, Wenqing
    Chen, Xiaolei
    Xu, Beibei
    Hu, Tianhui
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2024, 25 (01)
  • [46] Prognostic Biomarkers in Breast Cancer via Multi-Omics Clustering Analysis
    Malighetti, Federica
    Villa, Matteo
    Villa, Alberto Maria
    Pelucchi, Sara
    Aroldi, Andrea
    Cortinovis, Diego Luigi
    Canova, Stefania
    Capici, Serena
    Cazzaniga, Marina Elena
    Mologni, Luca
    Ramazzotti, Daniele
    Cordani, Nicoletta
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2025, 26 (05)
  • [47] Multi-Omics Analysis Detects Novel Prognostic Subgroups of Breast Cancer
    Quang-Huy Nguyen
    Hung Nguyen
    Tin Nguyen
    Duc-Hau Le
    FRONTIERS IN GENETICS, 2020, 11
  • [48] Multi-omics analysis of the expression and prognostic value of the butyrophilins in breast cancer
    Ren, He
    Li, Shuliang
    Liu, Xin
    Li, Wanjing
    Hao, Jianlei
    Zhao, Na
    JOURNAL OF LEUKOCYTE BIOLOGY, 2021, 110 (06) : 1181 - 1195
  • [49] Integrative Placental Multi-Omics Analysis Reveals Perturbed Pathways and Potential Prognostic Biomarkers in Gestational Hypertension
    Varghese, Bincy
    Babu, Sreeranjini
    Jala, Aishwarya
    Das, Panchanan
    Raju, Rajesh
    Borkar, Roshan M.
    Adela, Ramu
    ARCHIVES OF MEDICAL RESEARCH, 2024, 55 (01)
  • [50] Potential Prognostic Biomarkers of OSBPL Family Genes in Patients with Pancreatic Ductal Adenocarcinoma
    Chou, Cheng-Wei
    Hsieh, Yu-Hsiu
    Ku, Su-Chi
    Shen, Wan-Jou
    Anuraga, Gangga
    Khoa Ta, Hoang Dang
    Lee, Kuen-Haur
    Lee, Yu-Cheng
    Lin, Cheng-Hsien
    Wang, Chih-Yang
    Wang, Wei-Jan
    BIOMEDICINES, 2021, 9 (11)