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Protein Biomarkers ...
Protein Biomarkers in Malignant Melanoma: An Image Analysis-Based Study on Melanoma Markers of Potential Clinical Relevance
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- Agnarsdóttir, Margrét, 1970- (författare)
- Uppsala universitet,Molekylär och morfologisk patologi,HPA
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- Rexhepaj, Elton (författare)
- UCD School of Biomolecular and Biomedical Science, UCD Conway Institute, University College Dublin, Ireland
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- Magnusson, Kristina (författare)
- Uppsala universitet,Molekylär och morfologisk patologi,HPA
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- Patil, Tushar (författare)
- Lab Surgpath, Mumbai, India,HPA Uppsala
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- Johansson, Christine (författare)
- Uppsala universitet,Molekylär och morfologisk patologi,HPA
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- Bergqvist, Michael (författare)
- Uppsala universitet,Enheten för onkologi
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- Jirström, Karin (författare)
- Center for Molecular Pathology, Department of Laboratory Medicine, Skåne University Hospital, Lund University, Malmö, Sweden
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- Uhlen, Mathias (författare)
- Department of Proteomics, School of Biotechnology, AlbaNova University Center, KTH-Royal Institute of Technology, SE-10691 Stockholm, Sweden,HPA
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- Holmberg, Lars (författare)
- Uppsala universitet,Institutionen för kirurgiska vetenskaper
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- Gallagher, William (författare)
- UCD School of Biomolecular and Biomedical Science, UCD Conway Institute, University College Dublin, Ireland.
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- Ponten, Fredrik (författare)
- Uppsala universitet,Molekylär och morfologisk patologi,HPA
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(creator_code:org_t)
- Engelska.
- Relaterad länk:
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https://urn.kb.se/re...
Abstract
Ämnesord
Stäng
- The thickness of a primary malignant melanoma tumor is the most important prognostic indicator for a patient with primary cutaneous malignant melanoma. To optimize the management and treatment of melanoma patients there is an unmet need to identify characteristics that can further stratify melanoma patients into high or low risk for progressive disease. Despite numerous studies no single marker has yet been shown to add significant prognostic information. An algorithmic approach, combining data from several markers provides an attractive model to identify patients of increased risk of dying from malignant melanoma. The primary aim of the present study was to analyze the correlation between clinical outcome and protein expression patterns of multiple proteins in malignant melanoma tumors using immunohistochemistry and tissue microarrays. Candidate proteins were identified based on a selective and differential expression pattern in melanoma tumors and tested in a cohort of 143 melanoma patients. Protein expression was analyzed using both manual scoring and automated image analysis-based algorithms. We found no single marker of prognosis that was independent of tumor thickness. When combining potential prognostic markers we could define a prognostic index, based on RBM3, MITF, SOX10 and Ki-67, that was independent of tumor thickness in multivariate analysis. Our findings suggest that a good prognosis signature can be identified in melanoma patients with tumors showing a low fraction of Ki-67 positive tumor cells and a high fraction of RBM3 positive tumor cells combined with low intensity levels of SOX10 and MITF.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Medicinska och farmaceutiska grundvetenskaper -- Cell- och molekylärbiologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Basic Medicine -- Cell and Molecular Biology (hsv//eng)
Nyckelord
- malignant melanoma
- immunohistochemistry
- tissue microarray
- protein expression
- automated analysis
- RBM3
- SOX10
- MITF
- Ki-67
- Molecular medicine
- Molekylär medicin
- Pathology
- Patologi
- Bioinformatik
- Bioinformatics
Publikations- och innehållstyp
- vet (ämneskategori)
- ovr (ämneskategori)
- Av författaren/redakt...
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Agnarsdóttir, Ma ...
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Rexhepaj, Elton
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Magnusson, Krist ...
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Patil, Tushar
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Johansson, Chris ...
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Bergqvist, Micha ...
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visa fler...
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Jirström, Karin
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Uhlen, Mathias
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Holmberg, Lars
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Gallagher, Willi ...
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Ponten, Fredrik
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visa färre...
- Om ämnet
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- MEDICIN OCH HÄLSOVETENSKAP
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MEDICIN OCH HÄLS ...
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och Medicinska och f ...
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och Cell och molekyl ...
- Av lärosätet
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Uppsala universitet