Genomic Alterations in Extraskeletal Myxoid Chondrosarcoma
The CGC webinar series is back in March, featuring a talk by Ms. Trudy Zou from the University of Pittsburgh School of Medicine, in Pittsburgh, PA, USA. Trudy conducts research primarily studying chondrosarcoma with Drs. Rebecca Watters and Kurt Weiss at the Musculoskeletal Oncology Laboratory (MOL).
The Musculoskeletal Oncology Laboratory focuses on studying Extra skeletal myxoid chondrosarcoma (EMC), a rare sarcoma subtype with an indolent course and high rates of recurrence and metastasis to the lungs. In 70% of cases, it is characterized by the translocation of the NR4A3 gene on chromosome 9 to the EWSR1 N-terminal transactivation domain on chromosome 22.
In this webinar, Trudy will present an extremely rare primary EMC sample collected from a patient with matching lung metastasis, pelvic metastasis, normal lung, and blood available at the MOL lab. They used whole genome sequencing to identify structural variants that contribute to metastasis to the lungs and progression to pelvic metastases and that can be targeted for therapy. Trudy started using the Cancer Genomics Cloud in November 2021, and will be presenting the results of her and the lab’s work.
Trudy Zou is a medical student in the Physician Scientist Training Program at the University of Pittsburgh School of Medicine. She is primarily studying chondrosarcoma with Drs. Rebecca Watters and Kurt Weiss at the Musculoskeletal Oncology Laboratory (MOL). She earned her Bachelor of Science in cellular and molecular biology at Duke University, where she also studied drivers of metastasis and therapeutics for chondrosarcoma under Dr. Julia Visgauss.
MORE ABOUT US AND THE CGC
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The Cancer Genomics Cloud (CGC), powered by Seven Bridges and funded by the National Cancer Institute, is a flexible cloud resource platform that enables storage, analysis, and computation of large cancer datasets in the cloud. Since its launch in 2016, the platform has been continuously iterated with new applications and features to address the exponential growth and diversity of complex datasets. With the CGC, any user with an account can easily access petabytes of data, share it, analyze and use the computational power of the cloud without having to learn how to program and get familiar with several different data portals.