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Using transcriptomics to identify and validate novel biomarkers of human skeletal muscle cancer cachexia

BACKGROUND: Cancer cachexia is a multi-organ tissue wasting syndrome that contributes to morbidity and mortality in many cancer patients. Skeletal muscle loss represents an established key feature yet there is no molecular understanding of the disease process. In fact, the postulated molecular regul...

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Autores principales: Stephens, Nathan A, Gallagher, Iain J, Rooyackers, Olav, Skipworth, Richard J, Tan, Ben H, Marstrand, Troels, Ross, James A, Guttridge, Denis C, Lundell, Lars, Fearon, Kenneth C, Timmons, James A
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2829926/
https://www.ncbi.nlm.nih.gov/pubmed/20193046
http://dx.doi.org/10.1186/gm122
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author Stephens, Nathan A
Gallagher, Iain J
Rooyackers, Olav
Skipworth, Richard J
Tan, Ben H
Marstrand, Troels
Ross, James A
Guttridge, Denis C
Lundell, Lars
Fearon, Kenneth C
Timmons, James A
author_facet Stephens, Nathan A
Gallagher, Iain J
Rooyackers, Olav
Skipworth, Richard J
Tan, Ben H
Marstrand, Troels
Ross, James A
Guttridge, Denis C
Lundell, Lars
Fearon, Kenneth C
Timmons, James A
author_sort Stephens, Nathan A
collection PubMed
description BACKGROUND: Cancer cachexia is a multi-organ tissue wasting syndrome that contributes to morbidity and mortality in many cancer patients. Skeletal muscle loss represents an established key feature yet there is no molecular understanding of the disease process. In fact, the postulated molecular regulators of cancer cachexia originate largely from pre-clinical models and it is unclear how these translate to the clinical environment. METHODS: Rectus abdominis muscle biopsies were obtained from 65 upper gastrointestinal (UGI) cancer patients during open surgery and RNA profiling was performed on a subset of this cohort (n = 21) using the Affymetrix U133+2 platform. Quantitative analysis revealed a gene signature, which underwent technical validation and independent confirmation in a separate clinical cohort. RESULTS: Quantitative significance analysis of microarrays produced an 83-gene signature that was able to identify patients with greater than 5% weight loss, while this molecular profile was unrelated to markers of systemic inflammation. Selected genes correlating with weight loss were validated using quantitative real-time PCR and independently studied as general cachexia biomarkers in diaphragm and vastus lateralis from a second cohort (n = 13; UGI cancer patients). CaMKIIβ correlated positively with weight loss in all muscle groups and CaMKII protein levels were elevated in rectus abdominis. TIE1 was also positively associated with weight loss in both rectus abdominis and vastus lateralis muscle groups while other biomarkers demonstrated tissue-specific expression patterns. Candidates selected from the pre-clinical literature, including FOXO protein and ubiquitin E3 ligases, were not related to weight loss in this human clinical study. Furthermore, promoter analysis identified that the 83 weight loss-associated genes had fewer FOXO binding sites than expected by chance. CONCLUSION: We were able to discover and validate new molecular biomarkers of human cancer cachexia. The exercise activated genes CaMKIIβ and TIE1 related positively to weight-loss across muscle groups, indicating that this cachexia signature is not simply due to patient inactivity. Indeed, excessive CaMKIIβ activation is a potential mechanism for reduced muscle protein synthesis. Our genomics analysis also supports the view that the available preclinical models do not accurately reflect the molecular characteristics of human muscle from cancer cachexia patients.
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spelling pubmed-28299262010-04-23 Using transcriptomics to identify and validate novel biomarkers of human skeletal muscle cancer cachexia Stephens, Nathan A Gallagher, Iain J Rooyackers, Olav Skipworth, Richard J Tan, Ben H Marstrand, Troels Ross, James A Guttridge, Denis C Lundell, Lars Fearon, Kenneth C Timmons, James A Genome Med Research BACKGROUND: Cancer cachexia is a multi-organ tissue wasting syndrome that contributes to morbidity and mortality in many cancer patients. Skeletal muscle loss represents an established key feature yet there is no molecular understanding of the disease process. In fact, the postulated molecular regulators of cancer cachexia originate largely from pre-clinical models and it is unclear how these translate to the clinical environment. METHODS: Rectus abdominis muscle biopsies were obtained from 65 upper gastrointestinal (UGI) cancer patients during open surgery and RNA profiling was performed on a subset of this cohort (n = 21) using the Affymetrix U133+2 platform. Quantitative analysis revealed a gene signature, which underwent technical validation and independent confirmation in a separate clinical cohort. RESULTS: Quantitative significance analysis of microarrays produced an 83-gene signature that was able to identify patients with greater than 5% weight loss, while this molecular profile was unrelated to markers of systemic inflammation. Selected genes correlating with weight loss were validated using quantitative real-time PCR and independently studied as general cachexia biomarkers in diaphragm and vastus lateralis from a second cohort (n = 13; UGI cancer patients). CaMKIIβ correlated positively with weight loss in all muscle groups and CaMKII protein levels were elevated in rectus abdominis. TIE1 was also positively associated with weight loss in both rectus abdominis and vastus lateralis muscle groups while other biomarkers demonstrated tissue-specific expression patterns. Candidates selected from the pre-clinical literature, including FOXO protein and ubiquitin E3 ligases, were not related to weight loss in this human clinical study. Furthermore, promoter analysis identified that the 83 weight loss-associated genes had fewer FOXO binding sites than expected by chance. CONCLUSION: We were able to discover and validate new molecular biomarkers of human cancer cachexia. The exercise activated genes CaMKIIβ and TIE1 related positively to weight-loss across muscle groups, indicating that this cachexia signature is not simply due to patient inactivity. Indeed, excessive CaMKIIβ activation is a potential mechanism for reduced muscle protein synthesis. Our genomics analysis also supports the view that the available preclinical models do not accurately reflect the molecular characteristics of human muscle from cancer cachexia patients. BioMed Central 2010-01-15 /pmc/articles/PMC2829926/ /pubmed/20193046 http://dx.doi.org/10.1186/gm122 Text en Copyright ©2010 Stephens et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Stephens, Nathan A
Gallagher, Iain J
Rooyackers, Olav
Skipworth, Richard J
Tan, Ben H
Marstrand, Troels
Ross, James A
Guttridge, Denis C
Lundell, Lars
Fearon, Kenneth C
Timmons, James A
Using transcriptomics to identify and validate novel biomarkers of human skeletal muscle cancer cachexia
title Using transcriptomics to identify and validate novel biomarkers of human skeletal muscle cancer cachexia
title_full Using transcriptomics to identify and validate novel biomarkers of human skeletal muscle cancer cachexia
title_fullStr Using transcriptomics to identify and validate novel biomarkers of human skeletal muscle cancer cachexia
title_full_unstemmed Using transcriptomics to identify and validate novel biomarkers of human skeletal muscle cancer cachexia
title_short Using transcriptomics to identify and validate novel biomarkers of human skeletal muscle cancer cachexia
title_sort using transcriptomics to identify and validate novel biomarkers of human skeletal muscle cancer cachexia
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2829926/
https://www.ncbi.nlm.nih.gov/pubmed/20193046
http://dx.doi.org/10.1186/gm122
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