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Xu, Huiling

https://orcid.org/0000-0001-8195-8648

Mayo Clinic

Peter MacCallum Cancer Centre

Citations 2

Abstract 449: A standard operating procedure for the curation of gene fusions
Terraf, Panieh, Coard, Thomas, Ritter, Deborah , Tańska, Anna , Berlin, Aaron M., Lu, Anna, Williams, Heather , Lin, Wan‐Hsin , Danos, Arpad , Xu, Huiling , Xu, Xinjie , Ryland, Georgina L., Zhang, Liying , Rapisardo, Sarah, Rehder, Catherine , Pallavajjala, Aparna, Park, Nicole, Satgunaseelan, Laveniya , Liu, Jie , Stenzinger, Albrecht , Lee, Jennifer, Roy, Angshumoy , Raca, Gordana , Satgunaseelan, Laveniya , Wagner, Alex H. , Vlachos, Ioannis S. , Sonkin, Dmitriy , Kesserwan, Chimene A. , Sboner, Andrea , Reich, Christian , Horak, Peter , Zou, Ying , Cameron, Daniel , Törüner, Gökçe , Saliba, Jason , Ceccarelli, Michele , Liu, Xuelu, Lee, Kristy , Griffith, Obi L. , Freimuth, Robert R. , Baughn, Linda B. , Baudis, Michael , Li, Marilyn M

Cancer Research | July 1, 2021 | Volume: 81 | Issue: 13_Supplement | Pages: 449-449

10.1158/1538-7445.am2021-449 Get It

Abstract Despite the well-established role of recurrent gene fusions as oncogenic drivers, current practices for characterizing and interpreting gene fusion events in clinical testing and in biomedical literature are inconsistent. From the conceptual definition of gene fusions to the salient elements that characterize these alterations, a lack of community-driven standards for the curation of gene fusions has resulted in a disparate landscape of fusion representations and supporting tools. Consequently, the evidence-based clinical evaluation of gene fusions requires extensive expert review for accurate interpretation of observed gene fusions with respect to putative evidence from biomedical literature. Furthermore, the lack of these standards inhibits the interoperability of tools, resources, and pipelines - impeding data sharing and downstream utility.To address these challenges, a cross-consortia initiative between the Variant Interpretation for Cancer Consortium and ClinGen was formed to develop a standard operating procedure (SOP) for the curation of gene fusions. The SOP is under development by an international and diverse set of experts in the representation, detection, and clinical interpretation of gene fusions. Participating stakeholders across academic, government, and industry sectors showcased challenges and solutions, and participated in community surveys and discussions to define and develop the SOP for this diverse class of alterations.An initial result of this effort was the precise molecular definition of genomic events and features constituting gene fusions. We distinguish these from similar but distinct classes of structural alterations through clinically-relevant examples. Next, we discuss our findings on community practices around the description and evaluation of gene fusions. We provide our recommendations for characterization and representation of gene fusions from these practices, and compare these recommendations to existing variant representation standards and formats (e.g. HGVS variant nomenclature). We also discuss the concurrent application of formats for standardized human- and machine-readable representations of gene fusion events.We conclude with discussion of the salient elements to enable rapid, scalable, and consistent evaluation of fusions curated from the biomedical literature. Recommendations are provided for the standardized capture of these elements to enable both intuitive and precise characterization of this diverse class of alterations in clinical reporting and literature. In summary, we provide a clinical-practice driven framework and nomenclature for gene fusions, including recommendations for human readability, computational precision, and data integrity within the SOP. This work is a substantial advancement towards standardized communication, investigation, and sharing of gene fusion data across clinical and research domains and specialties. Citation Format: Alex H. Wagner, Ioannis S. Vlachos, Dmitriy Sonkin, Panieh Terraf, Chimene Kesserwan, Andrea Sboner, Thomas Coard, Christian Reich, Deborah I. Ritter, Peter Horak, Ying S. Zou, Anna Tanska, Aaron M. Berlin, Anna Lu, Daniel Cameron, Heather E. Williams, Wan-Hsin Lin, Gokce Toruner, Arpad Danos, Jason Saliba, Huiling Xu, Xinjie Xu, Georgina Ryland, Michele Ceccarelli, Liying Zhang, Sarah Rapisardo, Catherine Rehder, Xuelu Liu, Aparna Pallavajjala, Nicole Park, Laveniya Satgunaseelan, Kristy Lee, Jie Liu, Obi Griffith, Robert R. Freimuth, Albrecht Stenzinger, Linda B. Baughn, Michael Baudis, Jennifer Lee, Marilyn Li, Angshumoy Roy, Gordana Raca. A standard operating procedure for the curation of gene fusions [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 449.
Abstract 210: Advancing knowledgebase representation of pediatric cancer variants through ClinGen/CIViC collaboration
Danos, Arpad , Lin, Wan‐Hsin , Roy, Angshumoy , Church, Alanna J. , Ritter, Deborah , Sheta, Lana , McMichael, Joshua F. , Williams, Heather , Hiemenz, Matthew , Janeway, Katherine A. , Ji, Jianling , Chimene, Kesserwan A., Fuqua, Laura, Dyer, Lisa , Xu, Huiling , Jean, Jeffrey, Satgunaseelan, Laveniya , Zhang, Liying , Laetsch, Ted, Parsons, Donald W., Schmidt, Ryan J. , Sund, Kristen L. , Kulkarni, Shashikant , Madhavan, Subha , Xu, Xinjie , Kanagal-Shamana, Rashmi, Harris, Marian H. , Akkari, Yasmine, Yacov, Nurit Paz, Terraf, Panieh, Raca, Gordana , Satgunaseelan, Laveniya , Saliba, Jason , Rao, Shruti , Krysiak, Kilannin , Wagner, Alex H. , Barnell, Erica K. , Coffman, Adam , Kiwala, Susanna , Corson, Laura , Fisher, Kevin E. , Fuqua, Laura, Schriml, Lynn M , Griffith, Malachi , Griffith, Obi L.

Cancer Research | July 1, 2021 | Volume: 81 | Issue: 13_Supplement | Pages: 210-210

10.1158/1538-7445.am2021-210 Get It

Abstract Childhood cancers are driven by unique profiles of somatic genetic alterations, with a significant contribution from predisposing germline variants. Understanding the genomic landscape of pediatric cancers is complicated by their rarity, the heterogeneity of variation within a given disease, and the complex forms of structural variation they contain. Variants in childhood disease may differ from those in adult versions of the same cancer type, or may have different clinical significance. Currently, pediatric variants are underrepresented in cancer variant databases, and an urgent need exists for their publicly available expert curation. To address this, the Pediatric Cancer Taskforce (PCT) was formed within the Clinical Genome Resource (ClinGen) Somatic Cancer Clinical Domain Working Group (CDWG) (https://www.clinicalgenome.org/working-groups/somatic/). The PCT is a multi-institutional group of 39 members with broad experience in childhood cancer and variant curation, whose work consists of standardization and classification of genetic variants in pediatric cancers. The CIViC knowledgebase (www.civicdb.org) is a freely available resource for Clinical Interpretation of Variants in Cancer, which leverages public curation and expert moderation to address the problem of annotating the large volume of clinically actionable cancer variants. PCT curators work together with PCT expert members and the CIViC team on variant curation, and have submitted over 230 Evidence Items and over 10 Assertions to CIViC. To further address issues specific to pediatric curation, the PCT is working with CIViC to develop new pediatric-specific CIViC features and modifications of the data model that will aid in pediatric curation. A pediatric user interface, as well as representation of large scale structural and copy number variation are being developed for version two of CIViC, expected to be released in 1-2 years, which will enable curation of a new class of structural variants often encountered in pediatric cancer. A novel standard operating procedure for childhood cancer curation in CIViC is being developed by PCT experts, curators and the CIViC team. This SOP will cover topics including curation of structural variants, as well as pediatric-specific variant tiering guidelines which take into account the sparse nature of evidence in pediatric cases. A companion resource, CIViCmine (http://bionlp.bcgsc.ca/civicmine/), will be further developed to incorporate pediatric data. These and other joint efforts of the PCT and CIViC will significantly enhance pediatric variant representation for public use, to support the care of children with cancer. Citation Format: Arpad Danos, Wan-Hsin Lin, Jason Saliba, Angshumoy Roy, Alanna J. Church, Shruti Rao, Deborah Ritter, Kilannin Krysiak, Alex Wagner, Erica Barnell, Lana Sheta, Adam Coffman, Susanna Kiwala, Joshua F. McMichael, Laura Corson, Kevin Fisher, Heather E. Williams, Matthew Hiemenz, Katherine A. Janeway, Jianling Ji, Kesserwan A. Chimene, Laura Fuqua, Lisa Dyer, Huiling Xu, Jeffrey Jean, Laveniya Satgunaseelan, Liying Zhang, Ted W. Laetsch, Donald W. Parsons, Ryan Schmidt, Lynn M. Schriml, Kristen L. Sund, Shashikant Kulkarni, Subha Madhavan, Xinjie Xu, Rashmi Kanagal-Shamana, Marian Harris, Yasmine Akkari, Nurit Paz Yacov, Panieh Terraf, Malachi Griffith, Obi L. Griffith, Gordana Raca. Advancing knowledgebase representation of pediatric cancer variants through ClinGen/CIViC collaboration [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 210.