Michael Karin, PhD, has long been fascinated by what happens when inflammation—ideally a short-term burst of biological activity to promote healing or fight infection—turns chronic and potentially deadly.

CSHL Professor David Spector and graduate student Wenbo Xu have discovered that the long non-coding RNA LINC01235 helps promote the formation of triple-negative breast cancer. Their findings offer potential inroads to new and much-needed therapies for this deadly disease.

Researchers are pioneering a new approach to treating glioblastoma by targeting the gene MBLAC1 for the first time. This gene regulates copper levels and influences mitochondrial function—both essential to cancer cell survival. Disrupting MBLAC1 could impair tumor growth and open a new path for therapy. The study breaks new ground by revealing a molecular pathway that drives cancer through a gene tied to copper regulation and glioblastoma risk. Glioblastoma is a highly aggressive brain cancer with one of the highest mortality rates.

AI models have the potential not only to spot pancreatic cancer at an early stage, but also to predict the deadly disease’s prognosis, say scientists

Senescent cells, which are damaged and inflammatory, contribute significantly to ageing. Researchers at the Max Planck Institute for Biology of Ageing have found that worms can enter a senescent-like state, similar to that observed in mammals. This discovery provides a simple yet powerful model to study senescence at the whole organism level, enabling the identification of new ways to prevent or reverse senescence. These findings hold promise for developing therapies targeting age-related conditions and cancer dormancy.

Northwestern Medicine scientists have developed an AI tool called iSeg that not only matches doctors in accurately outlining lung tumors on CT scans but can also identify areas that some doctors may miss, reports a large new study.