Mutational landscape of gastric cancer and clinical application of genomic profiling based on target next-generation sequencing

被引:75
|
作者
Cai, Hui [1 ]
Jing, Changqing [2 ]
Chang, Xusheng [1 ]
Ding, Dan [1 ]
Han, Ting [1 ]
Yang, Junchi [1 ]
Lu, Zhengmao [1 ]
Hu, Xuguang [1 ]
Liu, Zhaorui [1 ]
Wang, Jinshen [2 ]
Shang, Liang [2 ]
Wu, Shouxin [3 ,4 ]
Meng, Peng [3 ,4 ]
Lin, Ling [3 ,4 ]
Zhao, Jiangman [3 ,4 ]
Nie, Mingming [1 ]
Yin, Kai [1 ]
机构
[1] Second Mil Med Univ, Changhai Hosp, Dept Gastrointestinal Surg, 168 Changhai Rd, Shanghai 200433, Peoples R China
[2] Shandong Univ, Shandong Prov Hosp, Dept Gastrointestinal Surg, Jinan 250021, Shandong, Peoples R China
[3] Shanghai Biotecan Pharmaceut Co Ltd, Zhangjiang Ctr Translat Med, 180 Zhangheng Rd, Shanghai 201204, Peoples R China
[4] Shanghai Zhangjiang Inst Med Innovat, Shanghai 201204, Peoples R China
关键词
Gastric cancer; Next-generation sequencing; Tumor mutation burden; Clinical actionable alterations; COMPREHENSIVE MOLECULAR CHARACTERIZATION; DNA-DAMAGE RESPONSE; VITAMIN-D INTAKE; GENETIC POLYMORPHISMS; DOPAMINE; CARCINOMA; MEGALIN; CELLS; RISK; D2;
D O I
10.1186/s12967-019-1941-0
中图分类号
R-3 [医学研究方法]; R3 [基础医学];
学科分类号
1001 ;
摘要
BackgroundGastric cancer (GC) is a leading cause of cancer deaths, and an increased number of GC patients adopt to next-generation sequencing (NGS) to identify tumor genomic alterations for precision medicine.MethodsIn this study, we established a hybridization capture-based NGS panel including 612 cancer-associated genes, and collected sequencing data of tumors and matched bloods from 153 gastric cancer patients. We performed comprehensive analysis of these sequencing and clinical data.Results35 significantly mutated genes were identified such as TP53, AKAP9, DRD2, PTEN, CDH1, LRP2 et al. Among them, 29 genes were novel significantly mutated genes compared with TCGA study. TP53 is the top frequently mutated gene, and tends to mutate in male (p=0.025) patients and patients whose tumor located in cardia (p=0.011). High tumor mutation burden (TMB) gathered in TP53 wild-type tumors (p=0.045). TMB was also significantly associated with DNA damage repair (DDR) genes genotype (p=0.047), Lauren classification (p=1.5e-5), differentiation (1.9e-7), and HER2 status (p=0.023). 38.31% of gastric cancer patients harbored at least one actionable alteration according to OncoKB database.ConclusionsWe drew a comprehensive mutational landscape of 153 gastric tumors and demonstrated utility of target next-generation sequencing to guide clinical management.
引用
收藏
页数:12
相关论文
共 50 条
  • [1] Mutational landscape of gastric cancer and clinical application of genomic profiling based on target next-generation sequencing
    Hui Cai
    Changqing Jing
    Xusheng Chang
    Dan Ding
    Ting Han
    Junchi Yang
    Zhengmao Lu
    Xuguang Hu
    Zhaorui Liu
    Jinshen Wang
    Liang Shang
    Shouxin Wu
    Peng Meng
    Ling Lin
    Jiangman Zhao
    Mingming Nie
    Kai Yin
    [J]. Journal of Translational Medicine, 17
  • [2] Next-generation sequencing-based testing for cancer mutational landscape diversity: clinical implications?
    Katsios, Christos
    Papaloukas, Costas
    Tzaphlidou, Margaret
    Roukos, Dimitrios H.
    [J]. EXPERT REVIEW OF MOLECULAR DIAGNOSTICS, 2012, 12 (07) : 667 - 670
  • [3] Application of Next-Generation Sequencing-Based Mutational Profiling in Acute Lymphoblastic Leukemia
    Ahmed Aleem
    Ali R. Haque
    Gregory W. Roloff
    Elizabeth A. Griffiths
    [J]. Current Hematologic Malignancy Reports, 2021, 16 : 394 - 404
  • [4] Application of Next-Generation Sequencing-Based Mutational Profiling in Acute Lymphoblastic Leukemia
    Aleem, Ahmed
    Haque, Ali R.
    Roloff, Gregory W.
    Griffiths, Elizabeth A.
    [J]. CURRENT HEMATOLOGIC MALIGNANCY REPORTS, 2021, 16 (05) : 394 - 404
  • [5] Application of next-generation sequencing in the diagnosis of gastric cancer
    Moradi, Narges
    Moghadam, Solmaz Ohadian
    Heidarzadeh, Siamak
    [J]. SCANDINAVIAN JOURNAL OF GASTROENTEROLOGY, 2022, 57 (07) : 842 - 855
  • [6] Multigene Clinical Mutational Profiling of Breast Carcinoma Using Next-Generation Sequencing
    Roy-Chowdhuri, Sinchita
    Gagliato, Debora de Melo
    Routbort, Mark J.
    Patel, Keyur P.
    Singh, Rajesh R.
    Broaddus, Russell
    Lazar, Alexander J.
    Sahin, Aysegul
    Alvarez, Ricardo H.
    Moulder, Stacy
    Wheler, Jennifer J.
    Janku, Filip
    Gonzalez-Angulo, Ana M.
    Chavez-MacGregor, Mariana
    Valero, Vicente
    Ueno, Naoto T.
    Mills, Gordon
    Mendelsohn, John
    Yao, Hui
    Aldape, Kenneth
    Luthra, Rajyalakshmi
    Meric-Bernstam, Funda
    [J]. AMERICAN JOURNAL OF CLINICAL PATHOLOGY, 2015, 144 (05) : 713 - 721
  • [7] Mutational Profiling of Ependymomas by Next-Generation Sequencing and the Potential Correlation with Clinical Outcome
    Rong, Yuan
    Richard, Hope T.
    Dumur, Catherine I.
    [J]. LABORATORY INVESTIGATION, 2016, 96 : 436A - 436A
  • [8] Mutational Profiling of Ependymomas by Next-Generation Sequencing and the Potential Correlation with Clinical Outcome
    Rong, Yuan
    Richard, Hope T.
    Dumur, Catherine I.
    [J]. MODERN PATHOLOGY, 2016, 29 : 436A - 436A
  • [9] Next-generation Sequencing-based genomic profiling: Fostering innovation in cancer care?
    Fernandes, Gustavo S.
    Marques, Daniel F.
    Girardi, Daniel M.
    Braghiroli, Maria Ignez F.
    Coudry, Renata A.
    Meireles, Sibele I.
    Katz, Artur
    Hoff, Paulo M.
    [J]. CLINICS, 2017, 72 (10) : 588 - 594
  • [10] Next-Generation Sequencing Panel (ThyroSeq) in Extended Mutational Profiling of Thyroid Cancer
    Nikiforova, M. N.
    Wald, A.
    Zhong, S.
    Roy, S.
    Nikiforov, Y. E.
    [J]. LABORATORY INVESTIGATION, 2014, 94 : 157A - 157A