The National Institutes of Health is releasing a comprehensive dataset that standardizes genomic, proteomic, imaging, and clinical data from individual studies of over 1,000 tumors across 10 cancer types. This dataset will be publicly available and researchers from around the world can use it to uncover new molecular insights into cancer development and progression.
The pan-cancer proteogenomic dataset supports the Biden-Harris Administration's Cancer Moonshotâ goal of accelerating cancer research through improved sharing of data. It builds on decades of technological advances in proteomic science and will serve as a valuable resource for scientific discovery.
The dataset includes two additional research papers published by CPTAC investigators, showcasing the potential of the dataset for linking cancer driver mutations with protein patterns and exploring protein modifications that regulate cell signaling and physiology. These papers provide examples of the dataset's application across different tumor types.
The pan-cancer proteogenomic dataset supports the Biden-Harris Administration's Cancer Moonshotâ goal of accelerating cancer research through improved sharing of data. It builds on decades of technological advances in proteomic science and will serve as a valuable resource for scientific discovery.
The dataset includes two additional research papers published by CPTAC investigators, showcasing the potential of the dataset for linking cancer driver mutations with protein patterns and exploring protein modifications that regulate cell signaling and physiology. These papers provide examples of the dataset's application across different tumor types.
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