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Cancer cells reconnect with their inner child to evade immunotherapy
Turning on an embryonic gene may help some tumors resist immune checkpoint inhibitors
Machine learning provides new insights into tumor suppression
Algorithm illuminated surprising metabolic effects of important cancer gene
‘Remarkable’ distinctions in pediatric leukemia point toward improved treatment
Big new study in pediatric and young adult acute myeloid leukemia warns against ‘trickle-down therapeutics’
Predicting ovarian cancer by counting tumor-attacking immune cells
Study led by Jason Bielas finds new way to quantify immune cells reliably, quickly and cheaply
Fred Hutchinson Cancer Research Center Investigators Use Guilt-by-Association Strategy to Track Potential Cancer Causing Genes
Represents a key step toward the quest by cancer biologists to characterize the cellular pathways that distinguish one type of cancer from another