Breakthrough Discovery in Cancer Immunotherapy for Resistant Leukemia
Columbia Engineering and Irving Institute researchers unveil a significant finding in cancer immunotherapy, uncovering unique T cells pivotal in treating relapsed acute myeloid leukemia. Their DIISCO computational method explores immune interactions leading to personalized treatment options, enhancing responses to the standard donor lymphocyte infusion (DLI) therapy.
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In a groundbreaking study, researchers from Columbia Engineering and the Irving Institute for Cancer Dynamics have identified a unique population of immune cells crucial for effective immunotherapy treatment in relapsed acute myeloid leukemia (AML) patients. This achievement was made possible through collaboration with the Dana Farber Cancer Institute.
AML, a malignancy affecting approximately four per 100,000 individuals annually in the United States, initially targets the bone marrow and eventually invades the bloodstream, as per the National Cancer Institute. Despite standard treatments involving chemotherapy and stem cell transplants, a significant 40% of patients experience relapse, with immunotherapy as the last viable option. Associate Professor Elham Azizi's research delves into how immune network coordination in leukemia bone marrow environments affects therapy outcomes, questioning the variability in patient responses to immunotherapy.
The recent study identifies special T cells in patients responsive to donor lymphocyte infusion (DLI) as key players in leukemia combat by enhancing immune response. Moreover, it reveals that a robust and diverse immune environment in bone marrow is essential for supporting these cancer-fighting cells. Researchers used their novel DIISCO machine learning approach to discover crucial interactions between T cells and other immune constituents, focusing on patient remission. Notably, they traced these T cells back to the donor, yet the study highlights that patient outcomes are more influenced by the existing immune environment rather than donor cell composition. Findings suggest strategies like prepping the immune environment before DLI treatment and combining therapies could significantly improve patient outcomes, offering hope to those less responsive to current treatments.
(With inputs from agencies.)