Mutational landscape of primary and recurrent Ewing sarcoma

被引:9
作者
Jagodzinska-Mucha, Paulina [1 ]
Sobczuk, Pawel [1 ,2 ]
Mikula, Michal [3 ]
Raciborska, Anna [4 ]
Dawidowska, Anna [5 ]
Kulecka, Maria [3 ,6 ]
Bilska, Katarzyna [4 ]
Szumera-Cieckiewicz, Anna [7 ,8 ]
Kluska, Anna [3 ]
Piatkowska, Magdalena [3 ]
Balabas, Anna [3 ]
Rutkowski, Piotr [1 ]
Lugowska, Iwona [1 ,5 ]
机构
[1] Maria Sklodowska Curie Natl Res Inst Oncol, Dept Soft Tissue Bone Sarcoma & Melanoma, 5 Roentgena St, PL-02781 Warsaw, Poland
[2] Med Univ Warsaw, Lab Ctr Preclin Res, Dept Expt & Clin Physiol, Warsaw, Poland
[3] Maria Sklodowska Curie Natl Res Inst Oncol, Dept Genet, Warsaw, Poland
[4] Mother & Child Inst, Dept Oncol & Surg Oncol Children & Youth, Warsaw, Poland
[5] Maria Sklodowska Curie Natl Res Inst Oncol, Early Phase Clin Trials Unit, Warsaw, Poland
[6] Ctr Postgrad Med Educ, Dept Gastroenterol Hepatol & Clin Oncol, Warsaw, Poland
[7] Maria Sklodowska Curie Natl Res Inst Oncol, Dept Pathol, Warsaw, Poland
[8] Inst Hematol & Transfus Med, Diagnost Hematol Dept, Warsaw, Poland
来源
WSPOLCZESNA ONKOLOGIA-CONTEMPORARY ONCOLOGY | 2021年 / 25卷 / 04期
关键词
genetics; mutation; NGS; targeted therapies; Ewing sarcoma; IDENTIFICATION; MANAGEMENT; SURVIVAL; GROWTH;
D O I
10.5114/wo.2021.112234
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Introduction: Ewing sarcoma (ES) is a highly aggressive malignancy of bone and soft tissues characterized by the presence of a genetic fusion involving the EWSR1 gene. More than one-third of patients develop distant metastases, which are associated with unfavorable prognosis. Knowledge about the disease's genetic landscape may help foster progress in using tar-geted therapies in the treatment of ES. Aim of the study: The objective is to assess the mutational landscape of ES in pretreatment samples, tumor sam -ples after neoadjuvant chemotherapy, and in metastatic/recurrent tumors in children and adults Material and methods: DNA from 39 for malin-fixed paraffin-embed-ded tumor samples of 22 patients (17 adults, 5 children) were analyzed by targeted next generation sequencing (NGS) using the Oncomine Compre-hensive Assay v3gene panel. Additional functional analyses were performed between patient subgroups. Results: All samples were character-ized by low tumor mutation burden (< 10 mut/Mb). The most commonly mutated genes were PIK3R1 (59%) and POLE (50%). The most widely detect-ed variants in biopsy samples were PIK3R1 T369I (50%), FGFR1 E159K, and TP53 at codon 72 (both in 27.3%). Ad-ditionally, the ATR, BRCA1, RAD50, ATM, CHEK1, and NBN genes showed a sig-nificantly higher number of mutations in ES. Mutations in PIK3R1 were signifi-cantly more frequent in adults, while mutations in the pathways responsible for cell cycle control, DNA repair, and transcriptional regulation were more frequent in children. Conclusions: Besides EWSR1 fusion, ES is characterized by numerous point mutations that are potential targets for precision medicine. There is high genomic heterogeneity that may ex-plain differences in outcomes between patient subgroups.
引用
收藏
页码:241 / 248
页数:8
相关论文
共 40 条
[1]   Deep Sequencing in Conjunction with Expression and Functional Analyses Reveals Activation of FGFR1 in Ewing Sarcoma [J].
Agelopoulos, Konstantin ;
Richter, Guenther H. S. ;
Schmidt, Eva ;
Dirksen, Uta ;
von Heyking, Kristina ;
Moser, Benjamin ;
Klein, Hans-Ulrich ;
Kontny, Udo ;
Dugas, Martin ;
Poos, Kathrin ;
Korsching, Eberhard ;
Buch, Thorsten ;
Weckesser, Matthias ;
Schulze, Isabell ;
Besoke, Regina ;
Witten, Anika ;
Stoll, Monika ;
Koehler, Gabriele ;
Hartmann, Wolfgang ;
Wardelmann, Eva ;
Rossig, Claudia ;
Baumhoer, Daniel ;
Juergens, Heribert ;
Burdach, Stefan ;
Berdel, Wolfgang E. ;
Mueller-Tidow, Carsten .
CLINICAL CANCER RESEARCH, 2015, 21 (21) :4935-4946
[2]  
Anders Kolb E., 2005, Proceedings of the American Association for Cancer Research Annual Meeting, V46, P1112
[3]   Profiling of potential driver mutations in sarcomas by targeted next generation sequencing [J].
Andersson, Carola ;
Fagman, Henrik ;
Hansson, Magnus ;
Enlund, Fredrik .
CANCER GENETICS, 2016, 209 (04) :154-160
[4]   Ewing's sarcoma [J].
Balamuth, Naomi J. ;
Womer, Richard B. .
LANCET ONCOLOGY, 2010, 11 (02) :184-192
[5]   The genomic landscape of malignant peripheral nerve sheath tumors: diverse drivers of Ras pathway activation [J].
Brohl, Andrew S. ;
Kahen, Elliot ;
Yoder, Sean J. ;
Teer, Jamie K. ;
Reed, Damon R. .
SCIENTIFIC REPORTS, 2017, 7
[6]   Identifying Mendelian disease genes with the Variant Effect Scoring Tool [J].
Carter, Hannah ;
Douville, Christopher ;
Stenson, Peter D. ;
Cooper, David N. ;
Karchin, Rachel .
BMC GENOMICS, 2013, 14
[7]   Cancer-Specific High-Throughput Annotation of Somatic Mutations: Computational Prediction of Driver Missense Mutations [J].
Carter, Hannah ;
Chen, Sining ;
Isik, Leyla ;
Tyekucheva, Svitlana ;
Velculescu, Victor E. ;
Kinzler, Kenneth W. ;
Vogelstein, Bert ;
Karchin, Rachel .
CANCER RESEARCH, 2009, 69 (16) :6660-6667
[8]   Phase II study of olaparib in patients with refractory Ewing sarcoma following failure of standard chemotherapy [J].
Choy, Edwin ;
Butrynski, James E. ;
Harmon, David C. ;
Morgan, Jeffrey A. ;
George, Suzanne ;
Wagner, Andrew J. ;
D'Adamo, David ;
Cote, Gregory M. ;
Flamand, Yael ;
Benes, Cyril H. ;
Haber, Daniel A. ;
Baselga, Jose M. ;
Demetri, George D. .
BMC CANCER, 2014, 14
[9]   The Genomic Landscape of Pediatric Ewing Sarcoma [J].
Crompton, Brian D. ;
Stewart, Chip ;
Taylor-Weiner, Amaro ;
Alexe, Gabriela ;
Kurek, Kyle C. ;
Calicchio, Monica L. ;
Kiezun, Adam ;
Carter, Scott L. ;
Shukla, Sachet A. ;
Mehta, Swapnil S. ;
Thorner, Aaron R. ;
de Torres, Carmen ;
Lavarino, Cinzia ;
Sunol, Mariona ;
McKenna, Aaron ;
Sivachenko, Andrey ;
Cibulskis, Kristian ;
Lawrence, Michael S. ;
Stojanov, Petar ;
Rosenberg, Mara ;
Ambrogio, Lauren ;
Auclair, Daniel ;
Seepo, Sara ;
Blumenstiel, Brendan ;
DeFelice, Matthew ;
Imaz-Rosshandler, Ivan ;
Schwarz-Cruz y Celis, Angela ;
Rivera, Miguel N. ;
Rodriguez-Galindo, Carlos ;
Fleming, Mark D. ;
Golub, Todd R. ;
Getz, Gad ;
Mora, Jaume ;
Stegmaier, Kimberly .
CANCER DISCOVERY, 2014, 4 (11) :1326-1341
[10]   CRAVAT: cancer-related analysis of variants toolkit [J].
Douville, Christopher ;
Carter, Hannah ;
Kim, Rick ;
Niknafs, Noushin ;
Diekhans, Mark ;
Stenson, Peter D. ;
Cooper, David N. ;
Ryan, Michael ;
Karchin, Rachel .
BIOINFORMATICS, 2013, 29 (05) :647-648