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Molecular-genetic correlates of fatigue in cancer patients receiving localized external beam radiation therapy

ABSTRACT: The etiology behind cancer-related fatigue (CRF) is currently unknown. The physiological mechanisms of CRF are based on limited evidence that genetic factors, energy expenditure, metabolism, aerobic capacity, and the individual's immune response to inflammation are responsible for the experience of CRF. Gene expression profiling using microarray analysis from white blood cells of men with non-metastatic prostate cancer shows significant, differential expression of 463 probesets during localized external beam radiation therapy (EBRT). Pathway analysis shows a central role of SNCA (alpha-synuclein gene) among these differentially expressed probesets. Significant expression of SNCA was confirmed by qPCR (p<.001) and ELISA (p<.001) over time during EBRT. A significant correlation was noted between averaged fatigue scores and delta CT values of SNCA expression using confirmatory qPCR over time during EBRT (R=-.90, p=.006). Development of fatigue experienced by these men during EBRT may be mediated by SNCA expression. Pathways related to alpha-synuclein may serve as useful biomarkers to understand the mechanisms behind the development of fatigue.

ORGANISM(S): Homo sapiens

PROVIDER: GSE30174 | GEO | 2012/12/21

SECONDARY ACCESSION(S): PRJNA143933

REPOSITORIES: GEO

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Molecular-genetic correlates of fatigue in cancer patients receiving localized external beam radiation therapy

Project description:The etiology behind cancer-related fatigue (CRF) is currently unknown. The physiological mechanisms of CRF are based on limited evidence that genetic factors, energy expenditure, metabolism, aerobic capacity, and the individual's immune response to inflammation are responsible for the experience of CRF. Gene expression profiling using microarray analysis from white blood cells of men with non-metastatic prostate cancer shows significant, differential expression of 463 probesets during localized external beam radiation therapy (EBRT). Pathway analysis shows a central role of SNCA (alpha-synuclein gene) among these differentially expressed probesets. Significant expression of SNCA was confirmed by qPCR (p<.001) and ELISA (p<.001) over time during EBRT. A significant correlation was noted between averaged fatigue scores and delta CT values of SNCA expression using confirmatory qPCR over time during EBRT (R=-.90, p=.006). Development of fatigue experienced by these men during EBRT may be mediated by SNCA expression. Pathways related to alpha-synuclein may serve as useful biomarkers to understand the mechanisms behind the development of fatigue. A longitudinal design exploring the association between changes in gene expression and fatigue symptoms of men with non-metastatic prostate cancer receiving external beam radiation therapy. Blood samples were collected from ten subjects at 7 timepoints for microarray analysis: baseline (before EBRT); days 1, 7, 14, 21, 42 of EBRT; and 30 days post-EBRT. Baseline data obtained from subjects were compared to data obtained from age-, race-, and gender-matched healthy controls.

2012-12-21 | E-GEOD-30174 | biostudies-arrayexpress

Studying the selectivity of a small molecule Synucleozid on transcriptome

Project description:One strategy to drugging undruggable proteins is to directly target the mRNA that encodes them, thereby inhibit translation and reducing protein levels. Inforna, a sequence-based design approach to target RNA, enables the design of a small molecule Synucleozid that binds SNCA mRNA which encodes alpha-synuclein. Herein, we investigate the selectivity of Synucleozid on the whole transcriptome. Based on mechanistic studies, Synucleozid targets IRE locates in 5' UTR of SNCA mRNA and reduces alpha-synuclein protein levels by decreasing the amount of SNCA mRNA loaded into polysomes. Different from alpha-synuclein siRNA, Synucleozid binds mRNA and affect its function without regulating mRNA expression.

2019-12-11 | GSE129590 | GEO

SNP data from genomic DNA from a subject, fibroblasts, iPSCs and neurons with four copies of SNCA, and genomic DNA from an unaffected first degree relative and equivalent cell lines

Project description:A major barrier to research on Parkinson’s disease (PD) is inaccessibility of diseased tissue for study. One solution is to derive induced pluripotent stem cells (iPSCs) from patients with PD and differentiate them into neurons affected by disease. We created an iPSC model of PD caused by triplication of SNCA encoding ?-synuclein. ?-Synuclein dysfunction is common to all forms of PD, and SNCA triplication leads to fully penetrant familial PD with accelerated pathogenesis. After differentiation of iPSCs into neurons enriched for midbrain dopaminergic subtypes, those from the patient contain double ?-synuclein protein compared to those from an unaffected relative, precisely recapitulating the cause of PD in these individuals. A measurable biomarker makes this model ideal for drug screening for compounds that reduce levels of ?-synuclein, and for mechanistic experiments to study PD pathogenesis. This SNP microarray study was carried out to confirm presence of SNCA triplication in the affected subject and the derived cell lines. 11 samples were analysed: genomic DNA from the two subjects in the study, the two parent fibroblast lines (AST denoting alpha-synuclein triplication and NAS denoting normal alpha-synuclein), two iPSC lines from each parent fibroblast line (four in total), a human embryonic stem cell line (SHEF4) and two neuronal samples one each from AST and NAS iPSCs).

2011-09-14 | E-GEOD-28366 | biostudies-arrayexpress

Patterns of cancer development and progression in the protein-protein interaction network

2012-07-01 | GSE31180 | GEO

Patterns of cancer development and progression in the protein-protein interaction network

Project description:For this study we selected a gene, α-synuclein (SNCA), that is consistently under-expressed in MCF7 cells and breast tumors. Following transfection with an SNCA expression construct, two stable MCF7 clones (named MCF7-SNCA #1 and 2) were selected and examined for expression differences relative to the parental MCF7 cells. MCF7 cells were transfected with an expression vector containing the full-length SNCA sequence. After selection with blasticidin, two different clones were isolated and examined for expression differences relative to the parental MCF7 cells.

2012-06-30 | E-GEOD-31180 | biostudies-arrayexpress

Gene expression analysis of cancer-related fatigue in whole blood from breast cancer survivors

Project description:Cancer-related fatigue is one of the most frequent complaints among breast cancer survivors, with a major negative impact on general life. However, the etiology behind this syndrome is still unraveled. Gene expression analysis was performed on whole blood samples from breast cancer survivors classified as either fatigued or non-fatigued at two consecutive time points. The analysis identified several gene sets concerning plasma and B cell pathways as different between the fatigue and non-fatigue groups, suggesting that a deregulation in these pathways might underlie the fatigue syndrome. The fatigue group also showed a higher mean level of leucocytes, lymphocytes and neutrophiles compared with the non-fatigue group, thus further implicating the immune system in the biology behind the fatigue syndrome. Keywords: Blood RNA and late side effects Breast cancer survivors treated with adjuvant radiotherapy at The Norwegian Radium Hospital between 1998 and 2002 were invited to participate in a study assessing late treatment effects in breast cancer survivors. In the present study, gene expression analysis was performed on whole blood samples from breast cancer survivors with and without persistent fatigue, to look for different expression patterns that might shed light on the biology behind cancer-related fatigue.

2009-07-01 | E-GEOD-14786 | biostudies-arrayexpress

SNP data from genomic DNA from a subject, fibroblasts, iPSCs and neurons with four copies of SNCA, and genomic DNA from an unaffected first degree relative and equivalent cell lines

Project description:A major barrier to research on Parkinson’s disease (PD) is inaccessibility of diseased tissue for study. One solution is to derive induced pluripotent stem cells (iPSCs) from patients with PD and differentiate them into neurons affected by disease. We created an iPSC model of PD caused by triplication of SNCA encoding α-synuclein. α-Synuclein dysfunction is common to all forms of PD, and SNCA triplication leads to fully penetrant familial PD with accelerated pathogenesis. After differentiation of iPSCs into neurons enriched for midbrain dopaminergic subtypes, those from the patient contain double α-synuclein protein compared to those from an unaffected relative, precisely recapitulating the cause of PD in these individuals. A measurable biomarker makes this model ideal for drug screening for compounds that reduce levels of α-synuclein, and for mechanistic experiments to study PD pathogenesis. This SNP microarray study was carried out to confirm presence of SNCA triplication in the affected subject and the derived cell lines.

2011-09-15 | GSE28366 | GEO

Expression data from Parkison's iPSCs with four copies of SNCA, and equivalent cell lines from an unaffected first degree relative

Project description:A major barrier to research on Parkinson’s disease (PD) is inaccessibility of diseased tissue for study. One solution is to derive induced pluripotent stem cells (iPSCs) from patients with PD and differentiate them into neurons affected by disease. We created an iPSC model of PD caused by triplication of SNCA encoding α-synuclein. α-Synuclein dysfunction is common to all forms of PD, and SNCA triplication leads to fully penetrant familial PD with accelerated pathogenesis. After differentiation of iPSCs into neurons enriched for midbrain dopaminergic subtypes, those from the patient contain double α-synuclein protein compared to those from an unaffected relative, precisely recapitulating the cause of PD in these individuals. A measurable biomarker makes this model ideal for drug screening for compounds that reduce levels of α-synuclein, and for mechanistic experiments to study PD pathogenesis. This gene expression microarray study was carried out as part of the validation process for demonstrating that the generated iPSC lines are pluripotent. 5 samples were analysed: two clonal iPSC lines from each of two genotypes (four in total; AST denoting alpha-synuclein triplication and NAS denoting normal alpha-synuclein), a human embryonic stem cell line (SHEF4). All cultured in self-renewal conditions, mTeSR1

2011-09-14 | E-GEOD-30792 | biostudies-arrayexpress

Expression data from fibroblasts, iPSCs and neurons with four copies of SNCA, and equivalent cell lines from an unaffected first degree relative

Project description:A major barrier to research on Parkinson’s disease (PD) is inaccessibility of diseased tissue for study. One solution is to derive induced pluripotent stem cells (iPSCs) from patients with PD and differentiate them into neurons affected by disease. We created an iPSC model of PD caused by triplication of SNCA encoding α-synuclein. α-Synuclein dysfunction is common to all forms of PD, and SNCA triplication leads to fully penetrant familial PD with accelerated pathogenesis. After differentiation of iPSCs into neurons enriched for midbrain dopaminergic subtypes, those from the patient contain double α-synuclein protein compared to those from an unaffected relative, precisely recapitulating the cause of PD in these individuals. A measurable biomarker makes this model ideal for drug screening for compounds that reduce levels of α-synuclein, and for mechanistic experiments to study PD pathogenesis. This gene expression microarray study was carried out as part of the validation process for demonstrating that the generated iPSC lines are pluripotent. 15 samples were analysed: the two parent fibroblast lines (AST denoting alpha-synuclein triplication and NAS denoting normal alpha-synuclein), two iPSC lines from each parent fibroblast line (four in total), a human embryonic stem cell line (SHEF4) and eight neuronal samples (each iPSC line differentiated into a neuronal population enriched for dopaminergic neurons, at two different time points).

2011-09-14 | E-GEOD-28365 | biostudies-arrayexpress

a-Synuclein Antisense Transcript SNCA-AS1 regulates synapses- and aging-related genes suggesting its implication in Parkinson’s Disease

Project description:SNCA protein product, a-synuclein, is widely renowned for its role in synaptogenesis and implication in both aging and Parkinson’s Disease (PD), but research efforts are still needed to elucidate its physiological functions and mechanisms of regulation. In this work, we aim to characterize SNCA-AS1, antisense transcript to the SNCA gene, and its implications in cellular processes. The overexpression of SNCA-AS1 upregulates both SNCA and a-synuclein, and through RNA-seq analysis we investigated the transcriptomic changes of which both genes are responsible. We highlight how they impact neurites extension and synapses’ biology, through specific molecular signatures. We report a reduced expression of markers associated with synaptic plasticity, and we specifically focus on GABAergic and dopaminergic synapses, for their relevance in aging processes and PD, respectively. A reduction in SNCA-AS1 expression leads to the opposite effect. As part of this signature is co-regulated by the two genes, we discriminate between functions elicited by genes specifically altered by SNCA-AS1 or SNCA’s overexpression, observing a relevant role for SNCA-AS1 in synaptogenesis through a shared molecular signature with SNCA. We also highlight how numerous deregulated pathways are implicated in aging-related processes, suggesting that SNCA-AS1 could be a key player in cellular senescence, with implications for aging-related diseases. Indeed, the upregulation of SNCA-AS1 leads to alterations in numerous PD specific genes, with an impact highly comparable to that of SNCA’s upregulation. Our results show that SNCA-AS1 elicits its cellular functions through the regulation of SNCA, with a specific modulation of synaptogenesis and senescence, presenting implications in PD.

2021-12-23 | GSE186255 | GEO

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