Title |
Body composition of the host influences dendritic cell phenotype in patients treated for colorectal cancer
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Published in |
Tumor Biology, March 2016
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DOI | 10.1007/s13277-016-5009-y |
Pubmed ID | |
Authors |
George Malietzis, Gui Han Lee, Hafid O. Al-Hassi, David Bernardo, Alexandra I. F. Blakemore, Robin H. Kennedy, Morgan Moorghen, John T. Jenkins, Stella C. Knight |
Abstract |
Dendritic cells (DCs) are antigen-presenting cells that can acquire tumour antigens and initiate cytotoxic T cell reactions. Obesity has been proposed as a cause for tumours escaping immune surveillance, but few studies investigate the impact of other body composition parameters. We examined the relationship of DC phenotype with computer tomography (CT)-defined parameters in patients with colorectal cancer (CRC). DCs were identified within peripheral blood mononuclear cells by flow cytometry as HLA-DR positive and negative for markers of other cell lineages in 21 patients. Analysis of CT scans was used to calculate lumbar skeletal muscle index (LSMI) and mean muscle attenuation (MA). Positive correlation between the LSMI and expression of CD40 in all DCs (r = 0.45; p = 0.04) was demonstrated. The MA was positively correlated with scavenger receptor CD36 [all DCs (r = 0.60; p = 0.01) and myeloid DCs (r = 0.63; p < 0.01)]. However, the MA was negatively correlated with CCR7 expression in all DCs (r = -0.46, p = 0.03.) and with CD83 [all DCs (r = -0.63; p = 0.01) and myeloid DCs (r = -0.75; p < 0.01)]. There were no relationships between the fat indexes and the DC phenotype. These results highlight a direct relationship between muscle depletion and changes in stimulatory, migratory and fatty acid-processing potential of DC in patients with CRC. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 3 | 75% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
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Practitioners (doctors, other healthcare professionals) | 2 | 50% |
Members of the public | 1 | 25% |
Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 23 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Bachelor | 5 | 22% |
Other | 3 | 13% |
Student > Ph. D. Student | 3 | 13% |
Student > Doctoral Student | 2 | 9% |
Professor | 2 | 9% |
Other | 3 | 13% |
Unknown | 5 | 22% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 11 | 48% |
Biochemistry, Genetics and Molecular Biology | 2 | 9% |
Unspecified | 1 | 4% |
Computer Science | 1 | 4% |
Business, Management and Accounting | 1 | 4% |
Other | 2 | 9% |
Unknown | 5 | 22% |