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Emerging Technologies and Data Science

Studies, methods, and large datasets that employ computational biology, high-throughput techniques, imaging, physical sciences, or engineering to investigate cancer biology

Latest in Emerging Technologies and Data Science
C. Alston James, Peter Ronning et al.
Allogeneic cancer vaccines are designed to induce antitumor immune responses with the goal of impacting tumor growth. Typical allogeneic cancer vaccines are produced by expansion of established cancer cell lines, transfection with vectors encoding immunostimulatory cytokines, and lethal irradiation. More than 100 clinical ...
Eric D. Eisenmann, Qiang Fu et al.
Ibrutinib (Imbruvica; PCI-32765) is an orally administered inhibitor of Bruton's tyrosine kinase that has transformed the treatment of B-cell malignancies. However, ibrutinib has very low oral bioavailability that contributes to significant variability in systemic exposure between patients, and this has the potential to ...
Marco Magistri, Lanie E. Happ et al.
A comprehensive constellation of somatic nonsilent mutations and copy-number (CN) variations in ocular adnexa marginal zone lymphoma (OAMZL) is unknown. By utilizing whole-exome sequencing in 69 tumors, we define the genetic landscape of OAMZL. Mutations and CN changes in CABIN1 (30%), RHOA (26%), TBL1XR1 (22%), and ...
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