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Biomarkers could help discriminate cancer therapy-associated kidney injury from other causes A study by Mayo Clinic researchers published in Kidney International Reports finds that immune checkpoint inhibitors, may have negative consequences in some patients, including acute kidney inflammation, known as interstitial nephritis. Immune checkpoint inhibitors are used to treat cancer by stimulating the immune system to attack cancerous cells. Immune checkpoint inhibitors have improved the prognosis for patients with a wide range of malignancies including melanoma, non-small cell lung cancer and renal cancer. In some patients, this enhanced immune response may target kidney tissue, leading to acute kidney inflammation known as interstitial nephritis. ....
Building on the promise of emerging therapies to deploy the body's "natural killer" immune cells to fight cancer, researchers at the University of Michigan Rogel Cancer Center and U-M College of Engineering have gone one step further. ....
A phase 2 clinical trial providing personalized treatments based on the genetic profile of metastatic tumors in gastroesophageal cancers has found that using customized treatment approaches, and adapting them over time as tumors become resistant, led to higher rates of survival compared to historical controls. ....
New technique can rapidly diagnose prostate cancer from urine Prostate cancer is one of the most common cancers among men. Patients are determined to have prostate cancer primarily based on PSA, a cancer factor in blood. However, as diagnostic accuracy is as low as 30%, a considerable number of patients undergo additional invasive biopsy and thus suffer from resultant side effects, such as bleeding and pains. The Korea Institute of Science and Technology (KIST) announced that the collaborative research team led by Dr. Kwan Hyi Lee from the Biomaterials Research Center and Professor In Gab Jeong from Asan Medical Center developed a technique for diagnosing prostate cancer from urine within only twenty minutes with almost 100% accuracy. The research team developed this technique by introducing a smart AI analysis method to an electrical-signal-based ultrasensitive biosensor. ....