Targeted next-generation sequencing reveals high frequency of mutations in epigenetic regulators across treatment-naive patient melanomas

被引:43
|
作者
Lee, Jonathan J. [1 ]
Sholl, Lynette M. [1 ]
Lindeman, Neal I. [1 ]
Granter, Scott R. [1 ]
Laga, Alvaro C. [1 ]
Shivdasani, Priyanka [1 ]
Chin, Gary [1 ]
Luke, Jason J. [2 ]
Ott, Patrick A. [2 ]
Hodi, F. Stephen [2 ]
Mihm, Martin C., Jr. [2 ]
Lin, Jennifer Y. [2 ]
Werchniak, Andrew E. [2 ]
Haynes, Harley A. [2 ]
Bailey, Nancy [2 ]
Liu, Robert [1 ]
Murphy, George F. [1 ]
Lian, Christine G. [1 ]
机构
[1] Harvard Univ, Sch Med, Dept Pathol, Brigham & Womens Hosp, Boston, MA 02115 USA
[2] Harvard Univ, Sch Med, Dana Farber Canc Inst, Melanoma Ctr, Boston, MA 02115 USA
关键词
Melanoma; Next-generation sequencing (NGS); Epigenetics; MECOM (MDS1 and EV1 complex locus); MLL2; Ten-eleven translocation (TET); Isocitrate dehydrogenase 2 (IDH2); 5-hydroxymethylcytosine; DNA demethylation; ACUTE MYELOID-LEUKEMIA; MEK INHIBITION; SOMATIC MUTATIONS; GENETIC LANDSCAPE; IMPROVED SURVIVAL; DRIVER MUTATIONS; BRAF; 5-HYDROXYMETHYLCYTOSINE; MECHANISMS; RESISTANCE;
D O I
10.1186/s13148-015-0091-3
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: Recent developments in genomic sequencing have advanced our understanding of the mutations underlying human malignancy. Melanoma is a prototype of an aggressive, genetically heterogeneous cancer notorious for its biologic plasticity and predilection towards developing resistance to targeted therapies. Evidence is rapidly accumulating that dysregulated epigenetic mechanisms (DNA methylation/demethylation, histone modification, non-coding RNAs) may play a central role in the pathogenesis of melanoma. Therefore, we sought to characterize the frequency and nature of mutations in epigenetic regulators in clinical, treatment-naive, patient melanoma specimens obtained from one academic institution. Results: Targeted next-generation sequencing for 275 known and investigative cancer genes (of which 41 genes, or 14.9 %, encoded an epigenetic regulator) of 38 treatment-naive patient melanoma samples revealed that 22.3 % (165 of 740) of all non-silent mutations affected an epigenetic regulator. The most frequently mutated genes were BRAF, MECOM, NRAS, TP53, MLL2, and CDKN2A. Of the 40 most commonly mutated genes, 12 (30.0 %) encoded epigenetic regulators, including genes encoding enzymes involved in histone modification (MECOM, MLL2, SETD2), chromatin remodeling (ARID1B, ARID2), and DNA methylation and demethylation (TET2, IDH1). Among the 38 patient melanoma samples, 35 (92.1 %) harbored at least one mutation in an epigenetic regulator. The genes with the highest number of total UVB-signature mutations encoded epigenetic regulators, including MLL2 (100 %, 16 of 16) and MECOM (82.6 %, 19 of 23). Moreover, on average, epigenetic genes harbored a significantly greater number of UVB-signature mutations per gene than non-epigenetic genes (3.7 versus 2.4, respectively; p = 0.01). Bioinformatics analysis of The Cancer Genome Atlas (TCGA) melanoma mutation dataset also revealed a frequency of mutations in the 41 epigenetic genes comparable to that found within our cohort of patient melanoma samples. Conclusions: Our study identified a high prevalence of somatic mutations in genes encoding epigenetic regulators, including those involved in DNA demethylation, histone modification, chromatin remodeling, and microRNA processing. Moreover, UVB-signature mutations were found more commonly among epigenetic genes than in non-epigenetic genes. Taken together, these findings further implicate epigenetic mechanisms, particularly those involving the chromatin-remodeling enzyme MECOM/EVI1 and histone-modifying enzyme MLL2, in the pathobiology of melanoma.
引用
收藏
页数:17
相关论文
共 50 条
  • [41] Potential Mutations in Uveal Melanoma Identified Using Targeted Next-Generation Sequencing
    Yu, Jiayi
    Wu, Xiaowen
    Yan, Junya
    Yu, Jinyu
    Yin, Ting
    Dai, Jie
    Ma, Meng
    Xu, Tianxiao
    Yu, Huan
    Xu, Longwen
    Yang, Lu
    Cheng, Zhiyuan
    Chi, Zhihong
    Sheng, Xinan
    Si, Lu
    Cui, Chuanliang
    Guo, Jun
    Kong, Yan
    JOURNAL OF CANCER, 2019, 10 (02): : 488 - 493
  • [42] Targeted Next-Generation Sequencing Panel (ThyroSeq) for Detection of Mutations in Thyroid Cancer
    Nikiforova, Marina N.
    Wald, Abigail I.
    Roy, Somak
    Durso, Mary Beth
    Nikiforov, Yuri E.
    JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM, 2013, 98 (11): : E1852 - E1860
  • [43] Validation of a Targeted Next-Generation Sequencing Panel to Screen for Mutations in Myeloid Leukemia
    Yang, F.
    Beadling, C.
    Neff, T. L.
    Dunlap, J.
    Corless, C. L.
    Press, R.
    JOURNAL OF MOLECULAR DIAGNOSTICS, 2013, 15 (06): : 864 - 865
  • [44] Spectrum of Mutations in Metastatic Chondrosarcomas Identified by Clinical Targeted Next-Generation Sequencing
    Lee, P. J.
    Mattis, A. J.
    Duncavage, E. J.
    Hagemann, I. S.
    JOURNAL OF MOLECULAR DIAGNOSTICS, 2017, 19 (06): : 1011 - 1011
  • [45] Targeted next-generation sequencing extends the phenotypic and mutational spectrums for EYS mutations
    Gu, Shun
    Tian, Yuanyuan
    Chen, Xue
    Zhao, Chen
    MOLECULAR VISION, 2016, 22 : 646 - 657
  • [46] Next-generation sequencing reveals somatic mutations that confer exceptional response to everolimus
    Lim, Sun Min
    Park, Hyung Soon
    Kim, Sangwoo
    Kim, Sora
    Ali, Siraj M.
    Greenbowe, Joel R.
    Yang, In Seok
    Kwon, Nak-Jung
    Lee, Jae Lyun
    Ryu, Min-Hee
    Ahn, Jin-Hee
    Lee, Jeeyun
    Lee, Min Goo
    Kim, Hyo Song
    Kim, Hyunki
    Kim, Hye Ryun
    Moon, Yong Wha
    Chung, Hyun Cheol
    Kim, Joo-Hang
    Kang, Yoon-Koo
    Cho, Byoung Chul
    ONCOTARGET, 2016, 7 (09) : 10547 - 10556
  • [47] Next-Generation Sequencing with Liquid Biopsies from Treatment-Naive Non-Small Cell Lung Carcinoma Patients
    Hofman, Paul
    CANCERS, 2021, 13 (09)
  • [48] An Assessment of Copy Number Variations and Somatic Mutations in Advanced Melanomas by Clinical Next-Generation Sequencing
    Siroy, Alan E.
    Sui, Dawen
    Ning, Jing
    Luthra, Rajyalakshmi
    Patel, Keyur P.
    Routbort, Mark J.
    Broaddus, Russell R.
    Nagarajan, Priyadharsini
    Aung, Phyu P.
    Ivan, Doina
    Curry, Jonathan L.
    Torres-Cabala, Carlos A.
    Prieto, Victor G.
    Davies, Michael A.
    Lazar, Alexander J.
    Tetzlaff, Michael T.
    MODERN PATHOLOGY, 2017, 30 : 136A - 136A
  • [49] An Assessment of Copy Number Variations and Somatic Mutations in Advanced Melanomas by Clinical Next-Generation Sequencing
    Siroy, Alan E.
    Sui, Dawen
    Ning, Jing
    Luthra, Rajyalakshmi
    Patel, Keyur P.
    Routbort, Mark J.
    Broaddus, Russell R.
    Nagarajan, Priyadharsini
    Aung, Phyu P.
    Ivan, Doina
    Curry, Jonathan L.
    Torres-Cabala, Carlos A.
    Prieto, Victor G.
    Davies, Michael A.
    Lazar, Alexander J.
    Tetzlaff, Michael T.
    LABORATORY INVESTIGATION, 2017, 97 : 136A - 136A
  • [50] Use of clinical next-generation sequencing to identify melanomas harboring SMARCB1 mutations
    Stockman, David L.
    Curry, Jonathan L.
    Torres-Cabala, Carlos A.
    Watson, Ian R.
    Siroy, Alan E.
    Bassett, Roland L.
    Zou, Lihua
    Patel, Keyur P.
    Luthra, Rajyalakshmi
    Davies, Michael A.
    Wargo, Jennifer A.
    Routbort, Mark A.
    Broaddus, Russell R.
    Prieto, Victor G.
    Lazar, Alexander J.
    Tetzlaff, Michael T.
    JOURNAL OF CUTANEOUS PATHOLOGY, 2015, 42 (05) : 308 - 317