ArticleClinical and translational medicine2018
Biobank integration of large-scale clinical and histopathology melanoma studies within the European Cancer Moonshot Lund Center.
Article in Clinical and translational medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
5 citing papers in PubMed.
- Article
- The human melanoma proteome atlas-Defining the molecular pathology.Clinical and translational medicine · 2021Article
- The landscape of biobanks in Poland-characteristics of Polish biobanking units at the beginning of BBMRI.pl organization.Journal of translational medicine · 2021Article
- Clinical protein science in translational medicine targeting malignant melanoma.Cell biology and toxicology · 2019Article
- Challenging the heterogeneity of disease presentation in malignant melanoma-impact on patient treatment.Cell biology and toxicology · 2019Review
Corrections and comments
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Authors and funding
7 authors.
Funding
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.
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Registered trials
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