A protein commonly found at high levels in lung cancer cells controls a major immunosuppressive pathway that allows lung tumors to evade immune attack, according to a study led by researchers at Weill Cornell Medicine. The discovery could hasten...
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An advanced software tool for analyzing DNA sequences from tumor samples has uncovered likely new cancer-driving genes, in a study led by Weill Cornell Medicine researchers. In the study, published Sept. 26 in Nature Communications, the...
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Genetically engineered immune cells successfully target the specific cancer cells that may be responsible for relapse of acute myeloid leukemia (AML), a type of blood cancer, and proved effective in animal models of the disease, according to a...
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Reducing Copper in the Body Alters Cancer Metabolism to Reduce Risk of Aggressive Breast Cancer Depleting copper levels may reduce the production of energy that cancer cells need to travel and establish themselves in other parts of the body by a...
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Scientists Discover a Powerful Natural Immune-Regulating Molecule A powerful immune-suppressing molecule produced by the body may hold the key to better treatments for autoimmune and inflammatory diseases, as well as for some cancers...
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EIPM Researchers create rapid tests, analytics for COVID-19 Two distinct diagnostic tests, a host/pathogen RNA sequencing platform, and spatially resolved tissue mapping tools, were created by a multidisciplinary team of Weill Cornell...
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Germline Whole-Exome Sequencing Reveals Potential New Treatment Opportunities in Bladder Cancers DECEMBER 8, 2020 A significant percentage of patients with urothelial cancers have inherited gene variants that drive the progression of these...
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Preclinical Model Suggests Why Common Immunotherapy May Not be Effective at Treating Breast Cancer A preclinical model of a common type of breast cancer provides new insight into why an immunotherapy known as checkpoint inhibition has not yet...
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The following article was published on January 02, 2020 by the Weill Cornell Medicine Newsroom. Al Algorithm Predicts Drug Targets, Leads to Promising Results for Experimental Cancer Treatment Weill Cornell Medicine scientists have developed a...
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