Dr. Kevin M. Boehm et al. published the paper Multimodal data integration using machine learning improves risk stratification of high-grade serous ovarian cancer in Nature Cancer. In it they assemble a multimodal dataset of 444 patients with primarily late-stage high-grade serous ovarian cancer and discover quantitative features, such as tumor nuclear size on staining with...Read More
Dr. Benjamin Greenbaum co authored the paper, “Neoantigen quality predicts immunoediting in survivors of pancreatic cancer” along with Marta Łuksza et al. in the journal Nature . In it they investigate how 70 human pancreatic cancers evolved over 10 years. They find that, despite having more time to accumulate mutations, rare long-term survivors of pancreatic...Read More
Dr. Elli Papaemmanuil co authored the paper, “Feasibility of whole genome and transcriptome profiling in pediatric and young adult cancers” along with N. Shukla et al. in the journal Nature Communications. In it they explore how the utility of cancer whole genome and transcriptome sequencing (cWGTS) in oncology is increasingly recognized. However, implementation of cWGTS...Read More
Dr. Benjamin Greenbaum co authored the paper “Fundamental immune–oncogenicity trade-offs define driver mutation fitness” along with David Hoyos et al. in the journal Nature. In it, they propose a unified theoretical ‘free fitness’ framework that parsimoniously integrates multimodal genomic, epigenetic, transcriptomic and proteomic data into a biophysical model of the rate-limiting processes underlying the fitness advantage...Read More
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