Improved survival prognostication of node-positive malignant melanoma patients utilizing shotgun proteomics guided by histopathological characterization and genomic data

Research output: Contribution to journalArticle


Metastatic melanoma is one of the most common deadly cancers, and robust biomarkers are still needed, e.g. to predict survival and treatment efficiency. Here, protein expression analysis of one hundred eleven melanoma lymph node metastases using high resolution mass spectrometry is coupled with in-depth histopathology analysis, clinical data and genomics profiles. This broad view of protein expression allowed to identify novel candidate protein markers that improved prediction of survival in melanoma patients. Some of the prognostic proteins have not been reported in the context of melanoma before, and few of them exhibit unexpected relationship to survival, which likely reflects the limitations of current knowledge on melanoma and shows the potential of proteomics in clinical cancer research.


External organisations
  • Warsaw University of Life Sciences
  • University of Groningen
  • Tokyo Medical University
  • Semmelweis University
  • National Korányi Institute for Tuberculosis and Pulmonology, Hungary
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Cancer and Oncology
  • Medical Genetics
Original languageEnglish
Article number5154
JournalScientific Reports
Issue number1
Publication statusPublished - 2019 Mar 26
Publication categoryResearch