Melanoma Metastases: Two new publications

Within the frame of the MelBrainSys-project, a BMBF-funded e:Med junior research alliance, the group led by PD Dr. Michael Seifert has published two new bioinformatics analyses that contribute to a better identification and characterization of molecular differences between patient-matched intra- and extracranial melanoma metastasis pairs.

The first publication in Computational and Structural Biotechnology shows how a network-based approach can be utilized to predict impacts of patient-specific driver candidates on other genes and pathways revealing that initially highly individual patients can be clustered into three homogeneous subgroups:

https://doi.org/10.1016/j.csbj.2024.02.013

The second publication in Acta Neuropathologica Communications demonstrates how a Hidden Markov Model can be used to predict differentially expressed genes in patient-matched melanoma metastases pairs contributing to an in-depth characterization of genes and pathways that distinguish intra- from extracranial melanoma metastasis:

https://doi.org/10.1186/s40478-024-01764-5