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  • Avedian, Raffi S.  (3)
  • Sweet-Cordero, E. Alejandro  (3)
  • 1
    In: Cancer Discovery, American Association for Cancer Research (AACR), Vol. 9, No. 1 ( 2019-01-01), p. 46-63
    Abstract: Osteosarcoma is a highly aggressive cancer for which treatment has remained essentially unchanged for more than 30 years. Osteosarcoma is characterized by widespread and recurrent somatic copy-number alterations (SCNA) and structural rearrangements. In contrast, few recurrent point mutations in protein-coding genes have been identified, suggesting that genes within SCNAs are key oncogenic drivers in this disease. SCNAs and structural rearrangements are highly heterogeneous across osteosarcoma cases, suggesting the need for a genome-informed approach to targeted therapy. To identify patient-specific candidate drivers, we used a simple heuristic based on degree and rank order of copy-number amplification (identified by whole-genome sequencing) and changes in gene expression as identified by RNA sequencing. Using patient-derived tumor xenografts, we demonstrate that targeting of patient-specific SCNAs leads to significant decrease in tumor burden, providing a road map for genome-informed treatment of osteosarcoma. Significance: Osteosarcoma is treated with a chemotherapy regimen established 30 years ago. Although osteosarcoma is genomically complex, we hypothesized that tumor-specific dependencies could be identified within SCNAs. Using patient-derived tumor xenografts, we found a high degree of response for “genome-matched” therapies, demonstrating the utility of a targeted genome-informed approach. This article is highlighted in the In This Issue feature, p. 1
    Type of Medium: Online Resource
    ISSN: 2159-8274 , 2159-8290
    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2019
    detail.hit.zdb_id: 2607892-2
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  • 2
    In: Cancer Research, American Association for Cancer Research (AACR), Vol. 77, No. 13_Supplement ( 2017-07-01), p. 1948-1948
    Abstract: Osteosarcoma (OS) is a highly malignant cancer for which no targeted therapies are currently available. Current treatment modalities are limited to intensive, highly toxic chemotherapy and surgical resection. OS is characterized by wide spread copy number alterations and structural rearrangements. In contrast, no recurrent point mutations in protein-coding genes have been identified, suggesting that copy number alterations (CNAs) are key oncogenic drivers in this disease. However, as copy number alterations are highly heterogeneous, it is likely that each tumor has a distinct set of oncogenic drivers, making a unified treatment approach difficult to define. To identify candidate patient-specific drivers, we used a simple heuristic based on degree of amplification (as assessed by Whole Genome Sequencing) and changes in gene expression (as assessed by RNA sequencing). Using patient-derived tumor xenografts (PDTXs), we assessed if individual OS tumors respond to targeted therapy selected based on this approach. We rank-ordered CNAs in 9 PDTXs by the amplitude of the copy number gain and identified 5 pathways for targeted therapy including CCNE1, MYC, CDK4, PTEN/AKT and AURKB. Next, we prioritized drug choices to those that are in clinical trials and that are readily available and identified 5 drug matches for 9 PDTXs. We used the CDK2 inhibitor Dinaciclib for CCNE1 amplification and observed TGI of 85.5% and 67.8% for 2 different CCNE1 amplified PDTXs tested. CDK9 inhibitor AT7519 was used to treat 2 different MYC amplified PDTXs resulting in TGI of 104% and 83.9%. CDK4 amplified PDTXs were treated with CDK4/6 inhibitor, Palbociclib, resulting in TGI of 82.7%. AKT1 inhibitor MK-2206 was used to treat either AKT1 gains or PTEN loss resulting in TGI of 65.6% and 60.8% respectively. AURKB inhibitor AZD-1152 for AURKB amplified PDTXs in combination with cisplatin resulting in TGI 85.8%. These results support the hypothesis that specific genes within CNA regions serve as oncogenic drivers and that these represent therapeutic opportunities in OS. Our studies provide a roadmap for personalized genome-informed therapy of osteosarcoma, a cancer in which no new therapies have been identified in over 30 years. Citation Format: Leanne C. Sayles, Marcus Breese, Amanda L. Koehne, Stanley Leung, Aviv Spillinger, Alex Lee, Avanthi Shah, Krystal Straessler, Sheri Spunt, Neyssa Marina, Damon Jacobson, Raffi S. Avedian, David G. Mohler, Steven DuBois, Douglas S. Hawkins, E. Alejandro Sweet-Cordero. Tumor-specific copy number alterations uncover therapeutic opportunities in osteosarcoma [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 1948. doi:10.1158/1538-7445.AM2017-1948
    Type of Medium: Online Resource
    ISSN: 0008-5472 , 1538-7445
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2017
    detail.hit.zdb_id: 2036785-5
    detail.hit.zdb_id: 1432-1
    detail.hit.zdb_id: 410466-3
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  • 3
    In: Clinical Cancer Research, American Association for Cancer Research (AACR), ( 2023-09-13), p. OF1-OF16
    Abstract: Models to study metastatic disease in rare cancers are needed to advance preclinical therapeutics and to gain insight into disease biology. Osteosarcoma is a rare cancer with a complex genomic landscape in which outcomes for patients with metastatic disease are poor. As osteosarcoma genomes are highly heterogeneous, multiple models are needed to fully elucidate key aspects of disease biology and to recapitulate clinically relevant phenotypes. Experimental Design: Matched patient samples, patient-derived xenografts (PDX), and PDX-derived cell lines were comprehensively evaluated using whole-genome sequencing and RNA sequencing. The in vivo metastatic phenotype of the PDX-derived cell lines was characterized in both an intravenous and an orthotopic murine model. As a proof-of-concept study, we tested the preclinical effectiveness of a cyclin-dependent kinase inhibitor on the growth of metastatic tumors in an orthotopic amputation model. Results: PDXs and PDX-derived cell lines largely maintained the expression profiles of the patient from which they were derived despite the emergence of whole-genome duplication in a subset of cell lines. The cell lines were heterogeneous in their metastatic capacity, and heterogeneous tissue tropism was observed in both intravenous and orthotopic models. Single-agent dinaciclib was effective at dramatically reducing the metastatic burden. Conclusions: The variation in metastasis predilection sites between osteosarcoma PDX-derived cell lines demonstrates their ability to recapitulate the spectrum of the disease observed in patients. We describe here a panel of new osteosarcoma PDX-derived cell lines that we believe will be of wide use to the osteosarcoma research community.
    Type of Medium: Online Resource
    ISSN: 1078-0432 , 1557-3265
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    Language: English
    Publisher: American Association for Cancer Research (AACR)
    Publication Date: 2023
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    detail.hit.zdb_id: 2036787-9
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