#10 Big Data in Cancer is Getting Bigger & Making Impact
Oncology Advancements: Top 10 of 2022
Molecular omics, perturbation phenotypic data, molecular interaction, imaging and textual data are the five basic data types in cancer research.
Why is this significant?
As data repositories and analytic platforms grow, our ability to provide integrative analysis including cross-cohort data aggregation (multiple centers of studies), cross modality data integration and knowledge transfer through data reuse will impact treatment decisions. In translational studies, diagnostic biomarker tests are being trained from big data, clinical trials are being guided by molecular data sets and the power of artificial intelligence is being realized in data-driven cancer diagnosis.
Why Could this Impact Care?
We have demonstrated the power of data analytics to change physician behavior and improve patient care outcomes. An ASCO preliminary session featured a retrospective observational RWD study on NSCL that showed that patients who were not sequenced and therefore did not receive the benefit of immunotherapy, had poorer outcomes. Based on data analytics, physician behaviors shifted from a 40% utilization of sequencing to an 80% utilization per guideline [1].

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