🧬 #ScienceSaturday What if a T cell didn’t have to recognize #cancer to help destroy it? We often think of cancer-fighting T cells as highly specific hunters that recognize a particular target on a cancer cell and attack it. But a new study published in @NatImmunol suggests T cells may have another way to fight tumors. 🔬 Researchers found that activating “bystander” CD8+ T cells inside tumors, including #Tcells originally trained to recognize viruses, not cancer, was enough to trigger tumor destruction in experimental models. Instead of directly recognizing and killing the cancer cells themselves, these activated T cells released powerful immune signals including interferon-gamma and TNF. Those signals recruited and activated other immune cells within the tumor, including myeloid cells, and helped generate nitric oxide and other molecules capable of killing cancer cells. 🛡️ In other words, the T cells acted almost like an alarm system: they activated the surrounding #immune environment and essentially recruited other cells to help do the killing. The researchers showed that this tumor clearance could occur even without conventional tumor-specific T-cell recognition, challenging the idea that an effective T-cell response always requires T cells that directly recognize cancer. 💡 Why does this matter? Many #tumors contain large numbers of “bystander” T cells that recognize viruses or other antigens rather than the tumor itself. If scientists can learn how to safely activate and harness these cells, they could potentially expand the pool of immune cells available to participate in an antitumor response. The researchers also identified gene-expression patterns associated with this response that correlated with survival in patients with #melanoma, although much more work is needed to understand how this approach could translate to patients. It’s another reminder that the immune system may have more than one way to attack cancer, sometimes, T cells may be able to kill by proxy. @Nature @NatureComms @NatureMedicine @Masopust_Vezys @oliviacs_ @UMNMSTP @Noah_V_Gavil @snguyen268 @shaleklab @umnmedschool @CFI_UMN @broadinstitute @ragoninstitute 📄 Read the study: nature.com/articles/s41590-0…