Tumor

Artificial intelligence is often employed in the field of cancer genomics, where bits of DNA sequencing data must be identified and further analyzed with statistical, evolutional, and probabilistic models. “Off-the-shelf” computing tools are useful for many cancer researchers, but Mohammed El-Kebir (IGOH), Cancer Center at Illinois (CCIL) scientist, is taking these AI applications a step further.

Treating breast tumors with two cancer drugs simultaneously may prevent endocrine resistance by attacking the disease along two separate gene pathways, scientists at the University of Illinois found in a new study.

The two drugs used in the study, selinexor and 4-OHT, caused the cancer cells to die and tumors to regress for prolonged periods, said food science and human nutrition professor Zeynep Madak-Erdogan (ONC-PM), the principal investigator on the study.

Only a few cells in a cancerous tumor are able to break away and spread to other parts of the body, but the curve along the edge of the tumor may play a large role in activating these tumor-seeding cells, according to a new University of Illinois study.