New Algorithm SPRINTER Enhances Understanding of Cancer Cell Proliferation
A groundbreaking study published in Nature Genetics introduces SPRINTER, a novel algorithm that analyzes tumor cell proliferation at a single-cell level. Developed by researchers from the TRACERx and PEACE consortia, SPRINTER enhances our understanding of cancer evolution, particularly in non-small cell lung cancer (NSCLC). This innovative approach leverages single-cell genomics to map the growth rates of genetically distinct tumor clones, paving the way for personalized cancer treatments and improved therapeutic strategies.
Study Reveals How Protein Synthesis Errors Drive Tumor Growth
A groundbreaking study from the Indian Institute of Science reveals how errors in protein synthesis, specifically mRNA readthrough, can significantly impact tumor growth. Led by Associate Professor Sandeep Eswarappa, the research highlights the role of the FEM1B gene in regulating the cell cycle and its implications for cancer treatment. By utilizing CRISPR technology, the team demonstrated that targeting mRNA sequences may offer new therapeutic avenues to combat uncontrolled cell proliferation in cancer.