UNTIRE: Cancer-related Fatigue With Digital Treatment
Ontology highlight
ABSTRACT:
DISEASE(S): Colorectal Cancer,Fatigue,Colorectal Neoplasms
PROVIDER: 2751755 | ecrin-mdr-crc |
REPOSITORIES: ECRIN MDR
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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.
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Project description:The transcriptome of the oomycete plant pathogen Phytophthora sojae was profiled at 10 different developmental and infection stages based on a 3'-tag digital gene expression (DGE) protocol. More than 90 million clean sequence tags were generated and compared to the P. sojae genome and its 19,027 predicted genes. A total of 14,969 genes were detected, of which 10,044 were deemed reliable because they mapped to unambiguous tags. A comparison of the whole-library genes expression patterns suggested four groups: 1) mycelia and zoosporangia (MY and SP); 2) zoospores and cysts (ZO and CY); 3) germinating cysts (GC); 4) five infection site libraries (IF1.5 to IF24h). The libraries from the different groups showed major transitional shifts in gene expression. From the ten libraries, 722 gene expression pattern clusters were obtained and the top 16 ones, containing more than half of the genes, comprised enriched genes with different functions including protein localization, triphosphate metabolism, signaling process, and non-coding RNA metabolism. An evaluation of the average expression level of 30 pathogenesis related gene families revealed that most were infection induced, but with diverse expression patterns and levels. A web-based server named the Phytophthora Transcriptional Database (PTD) has been established. The five axenically grown stages were mycelia (MY), zoosporangia (SP), zoospores (ZO), cysts (CY), and germinating cysts (GC). The five infection stages, 1.5, 3, 6, 12 and 24 h after inoculation onto susceptible soybean leaf tissues (IF1.5h to IF24h).
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