Innovative statistical method helps determine ideal threshold times in restricted mean survival time analyses

Traditional Chinese medicine (TCM) is widely used in cancer care in China as an integral part of treatment. This study aimed to understand the motivations of cancer patients in China for adopting TCM in their treatment and to examine their communication with oncologists. Gaining insights into these factors can enhance culturally sensitive, patient-centered oncology care.

Mayo Clinic researchers have identified a potential new way to monitor the progression of high-grade gliomas, one of the most aggressive types of brain cancer. Their feasibility study suggests that a personalized blood test tailored to each patient's tumor DNA could provide a faster and less invasive way to determine if the cancer is advancing.

Hepatocellular carcinoma (HCC) represents the most prevalent malignancy in Egypt and globally. However, non-invasive diagnostic/prognostic biomarkers for early detection of HCC are still lacking. Circular RNAs (circRNAs) are one of the promising biomarkers. They are considered stable, long-stranded non-coding RNAs in a sealed circular form held together by covalent bonds. circRNAs have been observed in several genetic studies to play a vital role in the initiation and progression of malignancy. Our current cross-sectional study aimed to evaluate the potential role of serum-derived hsa_circ_101555 as a diagnostic biomarker for HCC, in addition to comparing its prognostic significance and predicting the response to therapy.

In a recent paper, published in Nature, researchers from the University of Michigan have discovered that simultaneously targeting PIKfyve and KRAS-MAPK can eliminate tumors in preclinical human and mouse models.

Mass General Brigham researchers trained and validated a deep learning model that can detect subtle changes across post-treatment brain scans and forecast glioma recurrence with up to 89 percent accuracy