Copy number alteration is common, some cases extensive
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Correlation may increase when split by diagnosis
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Correlation changed with combined cohort
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GISTIC-Genomic Identification of Significant Targets in Cancer
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GISTIC identifies 24 recurrently altered regions in Wash U
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Some recurrently altered regions associated with changes in survival contain known cancer genes
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Clustering shows possible patterns among recurrent regions containing known cancer genes
Description:
Explore the latest findings in cancer genomics presented by winners of the 2022 Cancer Genomics Consortium Annual Meeting poster competition. Dive into two compelling presentations: one examining copy number alterations in childhood brain tumors and their potential for predicting survival, and another investigating single-cell RNA sequencing and co-occurring cellular state analysis in high-grade serous ovarian cancer. Learn about the implementation of new technologies in clinical genetic/genomic testing, standards for interpreting sequence and copy number variants, germline predisposition to cancer, and novel approaches for detecting structural variants in both constitutional and cancer samples. Gain insights into ovarian cancer survival, surgical biopsies, analysis strategies, and the application of single-cell RNA sequencing to both discovery and bulk data recovery. Examine the impact of copy number alterations, including examples of quiet genomes, detected copy events, and adjusted cutoffs for calling copy events. Discover the use of GISTIC (Genomic Identification of Significant Targets in Cancer) in identifying recurrently altered regions and their association with survival changes. Explore clustering patterns among recurrent regions containing known cancer genes, providing a comprehensive overview of cutting-edge research in cancer genomics.
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Cancer Genomics Consortium 2023 Webinar Series - CGC 2022 Annual Meeting Poster Winners