Targeted gene next-generation sequencing reveals genomic profile in a cohort of 46 Chinese patients with breast cancer

被引:2
|
作者
Yao, Jie [1 ]
Chen, Qian [2 ]
Zhu, Jun-qi [2 ]
Cai, Rui-gang [3 ]
机构
[1] Capital Med Univ, Fu Xing Hosp, Dept Med Oncol, Beijing, Peoples R China
[2] Thorgene Co Ltd, Beijing, Peoples R China
[3] Chinese Acad Med Sci & Peking Union Med Coll, Canc Hosp, Natl Clin Res Ctr Canc, Dept Med Oncol,Natl Canc Ctr, Beijing 100021, Peoples R China
来源
JOURNAL OF GENE MEDICINE | 2022年 / 24卷 / 06期
关键词
breast cancer; HOXA11; mutation; targeted next-generation sequencing; P53; HOXA11; PROGNOSIS; SURVIVAL;
D O I
10.1002/jgm.3420
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Background The present study aimed to explore the genomic profile in a cohort of Chinese patients with breast cancer (BC), as well as provide potential strategies for clinic treatment in specific subset of BC patients. Methods Paired samples from 46 BC patients were subjected to DNA extraction and 537 gene targeted next-generation sequencing. Results In total, 742 somatic mutations were detected in these patients, which involved 303 genes. TP53 and PIK3CA were the most frequently mutated genes, with a mutation rate of 45.65% and 26.09%. C>T, T>C and C>A comprised the main single nucleotide base variation for this Chinese cohort. Triple negative breast cancer (TNBC) group had more TP53-mutated patients than the Non-TNBC group (p = 0.0229). In addition, the cohort was also divided into 'Young' and 'Old' groups based on the age of onset. Compared with the 'Young' group, the 'Old' group had more frameshift mutations (p = 0.0190), less missense mutations (p = 0.0269) and more HOXA11-mutated patients (p = 0.0197). Additionally, the HOXA11(mt) (HOXA11 gene mutated) group had more frameshift mutations than the HOXA11(wt) (HOXA11 gene without mutation) group (p < 0.0001). In KEGG (i.e. Kyoto Encyclopedia of Genes and Genomes) analysis, the HOXA11(wt) group had more gene mutations involved in the T cell receptor signaling pathway (p = 0.0197), Jak-STAT signaling pathway (p = 0.0380) and the HIF-1 signaling pathway (p = 0.0489) than the HOXA11(mt) group. In the present study, the heterogeneity of somatic mutations was revealed between different tumor subgroups, including TNBC/Non-TNBC, age of onset (Young/Old) and HOXA11 mutation (HOXA11(mt)/HOXA11(wt)). Conclusions The present study revealed the heterogeneity of gene mutation and clinical variables among BC subtypes and might provide guidance for developing a potential target for clinical treatment.
引用
收藏
页数:10
相关论文
共 50 条
  • [41] Profile of the tprK gene in primary syphilis patients based on next-generation sequencing
    Liu, Dan
    Tong, Man-Li
    Luo, Xi
    Liu, Li-Li
    Lin, Li-Rong
    Zhang, Hui-Lin
    Lin, Yong
    Niu, Jian-Jun
    Yang, Tian-Ci
    PLOS NEGLECTED TROPICAL DISEASES, 2019, 13 (02):
  • [42] Next-generation sequencing in familial breast cancer patients from Lebanon
    Jalkh, Nadine
    Chouery, Eliane
    Haidar, Zahraa
    Khater, Christina
    Atallah, David
    Ali, Hamad
    Marafie, Makia J.
    Al-Mulla, Mohamed R.
    Al-Mulla, Fahd
    Megarbane, Andre
    BMC MEDICAL GENOMICS, 2017, 10 : 1 - 12
  • [43] Next-generation sequencing in familial breast cancer patients from Lebanon
    Nadine Jalkh
    Eliane Chouery
    Zahraa Haidar
    Christina Khater
    David Atallah
    Hamad Ali
    Makia J. Marafie
    Mohamed R. Al-Mulla
    Fahd Al-Mulla
    Andre Megarbane
    BMC Medical Genomics, 10
  • [44] Next-Generation Sequencing of Patients With Breast Cancer in Community Oncology Clinics
    Sturgill, Emma G.
    Misch, Amanda
    Lachs, Rebecca
    Jones, Carissa C.
    Schlauch, Dan
    Jones, Suzanne F.
    Shastry, Mythili
    Yardley, Denise A.
    Burris, Howard A.
    Spigel, David R.
    Hamilton, Erika P.
    McKenzie, Andrew J.
    JCO PRECISION ONCOLOGY, 2021, 5 : 1297 - 1311
  • [45] Next-generation sequencing in familial breast cancer patients from Lebanon
    Jalkh, N.
    Chouery, E.
    Haidar, Z.
    Khater, C.
    Atallah, D.
    Hamad, A.
    Marafie, M.
    Al-Mulla, M.
    Al-Mulla, F.
    Megarbane, A.
    EUROPEAN JOURNAL OF HUMAN GENETICS, 2018, 26 : 540 - 541
  • [46] Detection of Gene Rearrangements in Targeted Clinical Next-Generation Sequencing
    Abel, Haley J.
    Al-Kateb, Hussam
    Cottrell, Catherine E.
    Bredemeyer, Andrew J.
    Pritchard, Colin C.
    Grossmann, Allie H.
    Wallander, Michelle L.
    Pfeifer, John D.
    Lockwood, Christina M.
    Duncavage, Eric J.
    JOURNAL OF MOLECULAR DIAGNOSTICS, 2014, 16 (04): : 405 - 417
  • [47] Targeted Next-Generation Sequencing Gene Panels for Primary Immunodeficiencies
    Close, D. W.
    Adams, R.
    Coonrod, E. M.
    Voelkerding, K. V.
    Kumanovics, A.
    JOURNAL OF MOLECULAR DIAGNOSTICS, 2015, 17 (06): : 762 - 763
  • [48] Targeted next-generation sequencing and parental genotyping in sporadic Chinese Han deaf patients
    He, L.
    Pang, X.
    Liu, H.
    Chai, Y.
    Wu, H.
    Yang, T.
    CLINICAL GENETICS, 2018, 93 (04) : 899 - 904
  • [49] Targeted next-generation sequencing of thirteen causative genes in Chinese patients with congenital hypothyroidism
    Long, Wei
    Lu, Guanting
    Zhou, Wenbai
    Yang, Yugi
    Zhang, Bin
    Zhou, Hong
    Jiang, Lihua
    Yu, Bin
    ENDOCRINE JOURNAL, 2018, 65 (10) : 1019 - 1028
  • [50] The genetic analysis of Chinese patients with clonal cytopenias using targeted next-generation sequencing
    Lijuan Zhang
    YuYe Shi
    Yue Chen
    Shandong Tao
    Wenting Shi
    Zhengmei He
    Kankan Chen
    Chunling Wang
    Liang Yu
    Molecular Cytogenetics, 14