The investigators asked whether ctDNA status could simultaneously identify patients with a lower probability of therapeutic benefit and a higher likelihood of developing immune-related toxicity. If confirmed, ctDNA could become an important tool not only for predicting efficacy but also for improving treatment selection and avoiding unnecessary exposure to checkpoint inhibitors.
Study Design
The investigators performed a post hoc biomarker analysis of the randomized phase III IMvigor010 trial.
He makes sure to tell people he did not make embryos.
Friends, I did NOT create a human clone. What I did create are induced pluripotent stem cells (iPSCs) — cells that can potentially become many different cell types and may one day help repair the body.
It’s one of the most promising technologies in regenerative medicine, and is already being explored in clinical research.
The science is fascinating, the ethical questions are important, and both deserve thoughtful discussion.
Individuals suffering from diverse neuropsychiatric and neurodegenerative disorders often have comparable symptoms, which may underline the implication of shared hereditary influences and the same biological processes. Lysophosphatidic acid (LPA) is a bioactive phospholipid and a crucial regulator of the development of adult neuronal systems; hence, it may play an important role in the onset of certain diseases such as Alzheimer’s, Parkinson’s disease, and schizophrenia. During development, LPA signaling regulates many cellular processes such as proliferation, survival, migration, differentiation, cytoskeleton reorganization, and DNA synthesis. So far, six lysophosphatidic acid receptors that respond to LPA have been discovered and categorized based on their homology.
The brain demands a lot of energy compared with other organs. However, it can also make do when energy supplies are scarce, flexibly processing information using what is available. How the brain resourcefully allocates this limited energy across internal states remains a key question in neuroscience.
Sleep provides a useful window into answering this question. Although sleep is associated with rest, the brain remains highly active. This is especially true during rapid eye movement (REM) sleep, the stage closely linked to dreaming and memory processing. REM sleep is sometimes called “paradoxical sleep” because the body is largely still while the brain shows wake-like activity. Researchers at Tohoku University have now uncovered another paradox within REM sleep: While energy supply to the dreaming brain appears to rise, the energy molecule used directly by neurons falls. The findings are published in Communications Biology.
“Ever felt exhausted after a vivid dream?” asks Professor Ko Matsui of Tohoku University. “Sleep may appear peaceful, but the brain is highly active—especially when dreaming. We were intrigued by this paradox and wanted to look into the scientific basis behind why dreaming is somehow tiring.”
Every encounter between a T cell and a potential target—especially when that target is a developing tumor—begins with a rapid series of molecular decisions. Within seconds, the immune cell must determine whether to launch an attack or stand down. T cells are so potent, so potentially devastating, that misreading the situation can cause serious tissue injury.
But cancer cells come equipped with a bag of tricks that allows them to disarm these powerful warriors of the immune system. All of these activities, whether mediated by T cells or their targets, occur at split-second speed and unfold at the point of cell-to-cell contact.
Now, scientists have identified tiny nanoscale contact points where those decisions are made, revealing how activation and inhibitory signals are integrated at the first moments of a cell-to-cell encounter.
Gene editing is a highly precise and powerful technology that allows scientists to insert, delete, modify or replace DNA bases in living organisms. It has a variety of uses, including correcting disease-causing mutations and improving crops. Tools like CRISPR act as molecular scissors that target specific places in a genome to make these changes. But the technology is not perfect and can accidentally edit the wrong pieces of DNA or RNA.
In research published in Nature, scientists describe a new framework that uses AI to make these tools more accurate. Hoi Yee Chu and Alan S.L. Wong of the University of Hong Kong published a News and Views piece in the same journal on the significance of this research.