37. Spatiotemporal patterns of metastatic spread and survival from MSK-IMPACT, a large-scale prospective clinical sequencing

      Most large public cancer genomics datasets are focused on non-metastatic disease or lack information about spatiotemporal patterns of metastatic spread and survival. We have developed new clinical data extraction methods and performed an integrative analysis of clinical and genomic features from 34,836 patients treated at Memorial Sloan Kettering Cancer Center (MSK), stratified into 45 cancer subtypes. Tumors and matched normal were sequenced with MSK-IMPACT, a targeted next-generation sequencing assay that identifies genomic alterations in 468 genes. Spatiotemporal patterns of metastatic spread and survival were extracted from the electronic health records. This allowed us to distinguish between primary tumors in patients without evidence of metastatic disease (33%), primary tumors from patients with evidence of metastatic disease (25%) at the time of sequencing, and sequenced metastases (42%).
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