SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data.

The complex structure of cancer genomes means that standard analysis tools give false-positive results, leading to erroneous clinical interpretations of tumour biology. SAVANA significantly reduces such errors.

SAVANA offers rapid and reliable genomic analysis to better analyse clinical samples, thereby informing cancer diagnosis and therapeutic interventions.

Chondrosarcoma (CHS) is a rare and aggressive form of bone cancer characterized by its resistance to conventional therapies. The long non-coding RNA taurine up-regulated gene 1 (TUG1) has been reported to be implicated in various cancers; however, its role in CHS remains poorly understood.

Head and neck squamous cell carcinoma (HNSCC) is the sixth most common cancer worldwide. Given its rising global incidence, poor prognosis, high recurrence, and metastatic potential, there is an urgent need to investigate the underlying mechanisms driving tumorigenesis and progression to develop novel treatment strategies.

NAD(H) and NADP(H) are important electron carriers in cellular metabolism that also act as essential cofactors for a range of enzymes involved in various biological processes. Nicotinamide adenine dinucleotide (NAD+) kinase (NADK), which catalyzes the phosphorylation of NAD+ to NADP+, is a key regulator of cellular NAD+/NADP+ homeostasis.

A new study in iScience integrated mathematical modeling with advanced imaging to discover that the physical shape of the fruit fly egg chamber, combined with chemical signals, significantly influences how cells move. Cell migration is critical in wound healing, immune responses, and cancer metastasis, so the work has potential to advance a range of medical treatments. To the authors’ knowledge, this is the first study that actively considers the role of both chemical and structural signals in cell migration.