A new study published in the journal Nature Genetics maps out the timeline of DNA damage for multiple myeloma. The findings may lead to better ways to group patients by the state of their DNA and define new subtypes of disease to better predict treatment strategies and outcomes.

OKLAHOMA CITY – Large cell neuroendocrine carcinoma (LCNEC), a rare and aggressive type of lung cancer, has a high chance of metastasis, no standard treatment and a poor survival rate. A study published in Nature Communications provides a new understanding of the disease and uncovers a potential target for treatment.

Study finds cancer cells break down protective nerve coverings, leading to nerve injury and chronic inflammation

These nerve injuries drive immune exhaustion and immunotherapy resistance

Targeting the cancer-induced nerve injury pathway can reverse resistance and improve treatment response

Findings highlight importance of studying cancer neuroscience – the interactions between cancer and the nervous system

An international, interdisciplinary research team led by Prof. Jakob N. Kather from the Else Kröner Fresenius Center (EKFZ) for Digital Health at TU Dresden analyzed seven independent patient cohorts from Europe and the USA using their newly developed AI model. The model detects genetic alterations and resulting tissue changes in colorectal cancer directly from tissue section images. This could enable faster and more cost-effective diagnostics in the future. For the development, validation, and data analysis of the model, experts in data and computer science, epidemiology, pathology, and oncology worked closely together. The study has been published in the journal “The Lancet Digital Health”.