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New computer model may aid personalized cancer care

Reporting in the journal Cell Reports, researchers combined several types of data from pre- and post-treatment biopsies of breast tumors to obtain a molecular picture of how the cancer evolved as a result of chemotherapy. “Better understanding of tumor evolution is key to improving the design of cancer therapies and for truly individualized cancer treatment,” said Kornelia Polyak, MD, PhD, a breast cancer researcher. The model was developed by Polyak and Franziska Michor, PhD, a computational biologist at Dana-Farber. …

Research shows early promise of new drug for cancers caused by viruses

The research team focuses on primary effusion lymphoma (PEL), an aggressive and deadly variant of diffuse large B-cell lymphoma that frequently occurs in people infected with HIV. Though scientists have known that the Kaposi’s sarcoma-associated herpesvirus (KSHV) causes PEL, development of effective therapies has proven difficult. PEL tumors arise within body cavities and progress rapidly with an average survival of around 6 months. Combination chemotherapy represents the current standard of care for PEL, but side effects (including bone marrow suppression) and drug resistance (generated through virus-associated mechanisms) continue to limit the effectiveness of standard therapy…