Dataset Information

The SYMPTOM Study: factors influencing patient appraisal of symptoms

ABSTRACT: Study hypothesis: The DISCOVERY Programme has the overall aim of optimising the diagnosis of symptomatic cancer, and comprises 6 projects which contribute to three themes, addressing the issues at patient level (Theme 1, The SYMPTOM Study), primary care level (Theme 2), and the primary/secondary care interface (Theme 3). The SYMPTOM Study will identify features of later presentation of cancer to inform consumer awareness and general practice based interventions. It is a cohort study with an interview component, to characterise factors affecting symptom appraisal and associations with cancer in people referred with symptoms suspicious of lung, colorectal or pancreatic cancer. The objectives are: 1. To identify symptoms associated with later presentation 2. To identify symptoms associated with later stage at diagnosis 3. To identify other patient factors (e.g. age, gender, comorbidities, living alone) associated with later presentation or later stage at diagnosis 4. To understand the way in which symptoms suggestive of these cancers are recognised, interpreted and acted upon by patients Patients referred by their GP to hospital for further investigation of symptoms suggestive of lung, colorectal or pancreatic cancer will be invited to participate in the study. They will be asked to complete a questionnaire about their symptoms and their decision to consult their doctor about them. We will conduct in-depth, face-to-face interviews with some participants to better understand their views and experiences of their symptoms. Primary outcome(s): Identification of patient and symptom factors associated with later presentation to health care, measured at 24 months (end of study)

DISEASE(S): Primary Care Research Network For England Colorectal Cancer,Lung Cancer,Lung (non-small Cell),Rectum,Upper Gastro-intestinal Cancer,Colon,Pancreas,Lung (small Cell)

PROVIDER: 2418325 | ecrin-mdr-crc |

REPOSITORIES: ECRIN MDR

ACCESS DATA

Similar Datasets

Project description:A combined approach of evaluating ozone (O3)-caused foliar injury symptom and global gene expression profiling was used to identify potential genes associated with severity of injury on leaves of O3 (200 ppb)-fumigated (1, 12, 24, 48, and 72 h) two-week-old rice (cv. Nipponbare) seedling along with appropriate control. Foliar injuries were evaluated up to 72 h using both qualitative visual scale and quantitative RGB (red-green-blue) image analysis methods. The (R-G)/(R+G) was found as the optimal quantitative RGB parameter to assess the foliar injury. Large-scale transcript profiling of leaves identified 270 genes linked with foliar injury. Of these genes, the expression levels of 139 genes showed significant differences (P < 0.05) between leaves without and with injury symptoms. When a rigorous correlation test was applied on these genes for their expression changes and relative (R-G)/(R+G) parameters, the expression of 93 genes were found to increase with increased foliar severity up to 72 h, showing a positive, tight correlation between a subset of gene expression and commonly observed O3-triggerred symptom of foliar injury with correlation coefficient below -0.80. Of 93 genes, genes involved in metabolism (29%) formed a major functional category. Reconstruction of the metabolic networks with identified metabolic genes provided insight into the cellular responses such as photorespiration, biosynthesis of secondary metabolites, and detoxification. The O3 effect on these cellular responses has been previously reported based on physiological and biochemical studies, validating our approach used in this study to globally identify O3-responsive biomarkers tightly linked with foliar injury symptom. This study provides evidence for the presence of large number of genes associated with the foliar injury symptom than thought before, and could serve as a resource of potential biomarkers to study mechanisms of visible injury development by O3. Comparison between healthy rice seedling leaves and ozone treated (for 48 h and 72 h) rice seedling leaves was performed. Three biological replicates (5 leaves in each replicate; pooled) were used, and dye-swaped.

Dataset Information

The SYMPTOM Study: factors influencing patient appraisal of symptoms

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets