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
  • [31] Next-Generation Sequencing of Cancer Gene Panel in Glioblastoma Reveals Intriguing Findings
    Ferguson, C. J.
    Gutmann, D. H.
    Pfeifer, J. D.
    Dahiya, S.
    MODERN PATHOLOGY, 2014, 27 : 436A - 436A
  • [32] Targeted next-generation sequencing of hotspots in cancer genes in normal -tumor breast cancer patients of African ancestry reveals novel and known mutations
    Ricks-Santi, Luisel
    McDonal, John
    Brown, Cha'Tonya
    Prince, Latiffany
    Abbas, Muneer
    Dunston, Georgia
    CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION, 2016, 25 (03)
  • [33] Targeted next-generation sequencing identifies clinically relevant somatic mutations in a large cohort of inflammatory breast cancer
    Liang, Xu
    Vacher, Sophie
    Boulai, Anais
    Bernard, Virginie
    Baulande, Sylvain
    Bohec, Mylene
    Bieche, Ivan
    Lerebours, Florence
    Callens, Celine
    BREAST CANCER RESEARCH, 2018, 20
  • [34] Targeted next-generation sequencing in Slovak cardiomyopathy patients
    Nagyova, E.
    Radvanszky, J.
    Hyblova, M.
    Simovicova, V
    Goncalvesova, E.
    Asselbergs, F. W.
    Kadasi, L.
    Szemes, T.
    Minarik, G.
    BRATISLAVA MEDICAL JOURNAL-BRATISLAVSKE LEKARSKE LISTY, 2019, 120 (01): : 46 - 51
  • [35] Targeted next-generation sequencing in Bulgarian patients with RASopathies
    Mihova, Kalina
    Kachakova-Yordanova, Darina
    Kamenarova, Kunka
    Pencheva, Daniela
    Georgiev, Martin
    Dimova, Ivanka
    Kaneva, Radka
    EUROPEAN JOURNAL OF HUMAN GENETICS, 2023, 31 : 240 - 240
  • [36] Genomic mutational profile of breast cancer patients from India through comprehensive next-generation sequencing analysis of circulating tumor DNA
    Rohatgi, N.
    Rauthan, A.
    Limaye, S.
    Patil, S.
    Sirohi, B.
    Julka, P. K.
    Chugh, B.
    Dhar, A.
    Bharat, R.
    Jain, S. S.
    Joshi, N.
    Bahl, A.
    ANNALS OF ONCOLOGY, 2024, 35 : S1421 - S1421
  • [37] Targeted Genomic Profiling of Rectal Carcinoma Using Next-Generation Sequencing
    Olofson, A. M.
    Liu, X.
    Deharvengt, S. J.
    de Abreu, F. B.
    Peterson, J. D.
    Suriwinata, A. A.
    Lisovsky, M.
    Tsongalis, G. J.
    JOURNAL OF MOLECULAR DIAGNOSTICS, 2016, 18 (06): : 1002 - 1003
  • [38] Targeted Next-Generation Sequencing of Circulating Tumor DNA Mutations among Metastatic Breast Cancer Patients
    Sun, Min-Ying
    Lin, Fang-Qin
    Chen, Lu-Jia
    Li, Hong
    Lin, Wei-Quan
    Du, Hong-Yan
    Yang, Xue-Xi
    Li, Ming
    CURRENT ONCOLOGY, 2021, 28 (04) : 2326 - 2336
  • [39] Identifying gene mutations of Chinese patients with polycystic kidney disease through targeted next-generation sequencing technology
    Wang, Tao
    Li, Qinggang
    Shang, Shunlai
    Geng, Guangrui
    Xie, Yuansheng
    Cai, Guangyan
    Chen, Xiangmei
    MOLECULAR GENETICS & GENOMIC MEDICINE, 2019, 7 (06):
  • [40] Gene mutation patterns of Chinese acute myeloid leukemia patients by targeted next-generation sequencing and bioinformatic analysis
    Han, Xiaoyu
    Li, Wei
    He, Na
    Feng, Panpan
    Pang, Yihua
    Ji, Chunyan
    Ma, Daoxin
    CLINICA CHIMICA ACTA, 2018, 479 : 25 - 37