Subclonal Somatic Copy-Number Alterations Emerge and Dominate in Recurrent Osteosarcoma

Author:

Kinnaman Michael D.12ORCID,Zaccaria Simone34ORCID,Makohon-Moore Alvin567ORCID,Arnold Brian89ORCID,Levine Max F.110ORCID,Gundem Gunes110ORCID,Arango Ossa Juan E.110ORCID,Glodzik Dominik110ORCID,Rodríguez-Sánchez M. Irene1ORCID,Bouvier Nancy1ORCID,Li Shanita1ORCID,Stockfisch Emily1ORCID,Dunigan Marisa11ORCID,Cobbs Cassidy11ORCID,Bhanot Umesh K.1213ORCID,You Daoqi1ORCID,Mullen Katelyn514ORCID,Melchor Jerry P.56ORCID,Ortiz Michael V.1ORCID,O'Donohue Tara J.1ORCID,Slotkin Emily K.1ORCID,Wexler Leonard H.1ORCID,Dela Cruz Filemon S.1ORCID,Hameed Meera R.12ORCID,Glade Bender Julia L.1ORCID,Tap William D.15ORCID,Meyers Paul A.1ORCID,Papaemmanuil Elli112ORCID,Kung Andrew L.1ORCID,Iacobuzio-Donahue Christine A.567ORCID

Affiliation:

1. 1Department of Pediatrics, Memorial Sloan Kettering Cancer Center, New York, New York.

2. 2Regeneron Pharmaceuticals, Inc., Tarrytown, New York.

3. 3Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, United Kingdom.

4. 4Computational Cancer Genomics Research Group, University College London Cancer Institute, London, United Kingdom.

5. 5Human Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York.

6. 6David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center, New York, New York.

7. 7Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.

8. 8Department of Computer Science, Princeton University, Princeton, New Jersey.

9. 9Center for Statistics and Machine Learning, Princeton University, Princeton, New Jersey.

10. 10Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.

11. 11Integrated Genomics Operation Core, Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, New York.

12. 12Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York.

13. 13Precision Pathology Biobanking Center, Memorial Sloan Kettering Cancer Center, New York, New York.

14. 14Gerstner Sloan Kettering Graduate School of Biomedical Sciences, New York, New York.

15. 15Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.

Abstract

Abstract Multiple large-scale genomic profiling efforts have been undertaken in osteosarcoma to define the genomic drivers of tumorigenesis, therapeutic response, and disease recurrence. The spatial and temporal intratumor heterogeneity could also play a role in promoting tumor growth and treatment resistance. We conducted longitudinal whole-genome sequencing of 37 tumor samples from 8 patients with relapsed or refractory osteosarcoma. Each patient had at least one sample from a primary site and a metastatic or relapse site. Subclonal copy-number alterations were identified in all patients except one. In 5 patients, subclones from the primary tumor emerged and dominated at subsequent relapses. MYC gain/amplification was enriched in the treatment-resistant clones in 6 of 7 patients with multiple clones. Amplifications in other potential driver genes, such as CCNE1, RAD21, VEGFA, and IGF1R, were also observed in the resistant copy-number clones. A chromosomal duplication timing analysis revealed that complex genomic rearrangements typically occurred prior to diagnosis, supporting a macroevolutionary model of evolution, where a large number of genomic aberrations are acquired over a short period of time followed by clonal selection, as opposed to ongoing evolution. A mutational signature analysis of recurrent tumors revealed that homologous repair deficiency (HRD)-related SBS3 increases at each time point in patients with recurrent disease, suggesting that HRD continues to be an active mutagenic process after diagnosis. Overall, by examining the clonal relationships between temporally and spatially separated samples from patients with relapsed/refractory osteosarcoma, this study sheds light on the intratumor heterogeneity and potential drivers of treatment resistance in this disease. Significance: The chemoresistant population in recurrent osteosarcoma is subclonal at diagnosis, emerges at the time of primary resection due to selective pressure from neoadjuvant chemotherapy, and is characterized by unique oncogenic amplifications.

Funder

Rally Foundation

Hyundai Hope On Wheels

Conquer Cancer Foundation

National Cancer Institute

National Institutes of Health

Publisher

American Association for Cancer Research (AACR)

Subject

Cancer Research,Oncology

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3