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Plasma protein biom...
Plasma protein biomarker profiling reveals major differences between acute leukaemia, lymphoma patients and controls
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- Sabaa, Amal Abu (author)
- Uppsala universitet,Experimentell och klinisk onkologi,Centrum för klinisk forskning, Gävleborg
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- Shen, Qiujin (author)
- Uppsala universitet,Institutionen för immunologi, genetik och patologi
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- Lennmyr, Emma (author)
- Uppsala universitet,Hematologi
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- Enblad, Anna Pia (author)
- Uppsala universitet,Institutionen för cell- och molekylärbiologi
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- Gammelgård, Gustav (author)
- Uppsala universitet,Institutionen för immunologi, genetik och patologi
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- Molin, Daniel, 1969- (author)
- Uppsala universitet,Institutionen för immunologi, genetik och patologi
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- Hein, Anders (author)
- Uppsala universitet,Institutionen för immunologi, genetik och patologi
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- Freyhult, Eva, 1979- (author)
- Uppsala universitet,Institutionen för medicinska vetenskaper,Science for Life Laboratory, SciLifeLab
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- Kamali-Moghaddam, Masood (author)
- Uppsala universitet,Science for Life Laboratory, SciLifeLab,Institutionen för immunologi, genetik och patologi,Institutionen för medicinska vetenskaper
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- Höglund, Martin (author)
- Uppsala universitet,Institutionen för immunologi, genetik och patologi
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- Enblad, Gunilla (author)
- Uppsala universitet,Institutionen för immunologi, genetik och patologi,Science for Life Laboratory, SciLifeLab
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- Eriksson, Anna, 1977- (author)
- Uppsala universitet,Cancerfarmakologi och beräkningsmedicin,Hematologi
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(creator_code:org_t)
- Elsevier, 2022
- 2022
- English.
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In: New Biotechnology. - : Elsevier. - 1871-6784 .- 1876-4347. ; 71, s. 21-29
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Abstract
Subject headings
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- Aiming to accommodate the unmet need for easily accessible biomarkers with a focus on biological differences between haematological diseases, the diagnostic value of plasma proteins in acute leukaemias and lymphomas was investigated. A multiplex proximity extension assay (PEA) was used to analyze 183 proteins in diagnostic plasma samples from 251 acute leukaemia and lymphoma patients and compared with samples from 60 healthy controls. Multivariate modelling using partial least square discriminant analysis revealed highly significant differences between distinct disease subgroups and controls. The model allowed explicit distinction between leukaemia and lymphoma, with few patients misclassified. Acute leukaemia samples had higher levels of proteins associated with haemostasis, inflammation, cell differentiation and cell-matrix integration, whereas lymphoma samples demonstrated higher levels of proteins known to be associated with tumour microenvironment and lymphoma dissemination. PEA technology can be used to screen for large number of plasma protein biomarkers in low mu L sample volumes, enabling the distinction between controls, acute leukaemias and lymphomas. Plasma protein profiling could help gain insights into the pathophysiology of acute leukaemia and lymphoma and the technique may be a valuable tool in the diagnosis of these diseases.
Subject headings
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Hematologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Hematology (hsv//eng)
Keyword
- Acute leukaemia
- Lymphoma
- Plasma protein biomarker
- Tumor microenvironment
- Proximity extension assay
Publication and Content Type
- ref (subject category)
- art (subject category)
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- By the author/editor
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Sabaa, Amal Abu
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Shen, Qiujin
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Lennmyr, Emma
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Enblad, Anna Pia
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Gammelgård, Gust ...
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Molin, Daniel, 1 ...
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show more...
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Hein, Anders
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Freyhult, Eva, 1 ...
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Kamali-Moghaddam ...
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Höglund, Martin
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Enblad, Gunilla
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Eriksson, Anna, ...
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- About the subject
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- MEDICAL AND HEALTH SCIENCES
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MEDICAL AND HEAL ...
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and Clinical Medicin ...
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and Hematology
- Articles in the publication
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New Biotechnolog ...
- By the university
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Uppsala University