Biobank integration of large‐scale clinical and histopathology melanoma studies within the European Cancer Moonshot Lund Center. Issue 1 (20th August 2018)

• Record Type: Journal Article
• Authors: Malm, Johan; Sugihara, Yutaka; Szasz, Marcell; Kwon, Ho Jeong; Lindberg, Henrik; Appelqvist, Roger; Marko‐Varga, György
• Is Part Of: Clinical and translational medicine. Volume 7:Issue 1(2018)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2018-08-20
• Subjects: Clinical medicine -- Periodicals; Medicine, Experimental -- Periodicals; Medical innovations -- Periodicals; Molecular biology -- Periodicals; Pathology, Molecular -- Periodicals; 616.027
• DOI: 10.1186/s40169-018-0203-8
• Languages: English
• ISSNs: 2001-1326

Abstract

Abstract: We present the Cancer Moonshot clinical project located at the European center in Lund. Here, tissue and blood samples have been collected and stored in a large‐scale biobank. Multiple clinical centers around the world are participating and tissue and blood samples are sent to the European Cancer Moonshot Lund Center that acts as the clinical hub. Our center has been developed to generate and build large‐scale biostorage archives of patient melanoma samples, which is then combined with a histopathological capability to characterize the patient tumours. Such a large‐scale clinical sample processing initiative has begun with the aim of creating high‐end histopathology indexing with database computational power and including proteogenomic analysis. The biobank at Lund has become an important resource in clinical research worldwide. Following suite, several national health programs are being initiated with the aim of also building large‐scale biobank storages with a wealth of high‐quality patient samples. In our Cancer Moonshot R&D activities, samples in the biobanks and the data derived from these samples are being used to build an understanding of disease presentation and using this information to move towards 'Big Data' proteogenomic and mass spectrometry imaging studies. Additionally, we report here a sample processing workflow that has been adapted to a fully‐automated biobank processing strategy for large‐scale studies.