Canadian Prostate Cancer GEnome NEtwork – HuGene RNA expression
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE56916 | GEO | 2017/04/15
SECONDARY ACCESSION(S): PRJNA244932
REPOSITORIES: GEO
Similar Datasets
Project description:Over 5 years, CPC-GENE will sequence the genomes of 350 intermediate risk prostate cancers to identify genetic signatures that differ in cancers that responded well to treatment compared with those that did not. CPC-GENE will also sequence multiple regions of prostate cancer from the same gland to determine if and how the genetic make-up of prostate cancer varies within an individual man’s prostate
| EGAS00001000900 | EGA
Project description:Gleason grading is an important prognostic indicator for prostate adenocarcinoma and is crucial for patient treatment decisions. However, intermediate-risk patients diagnosed in Gleason Grade Groups (GG) 2 and GG3 can harbour either aggressive or non-aggressive disease, resulting in under- or over-treatment of a significant number of patients. Here, we performed proteomic, differential expression, machine learning, and survival analyses for 1,348 matched tumour and benign samples from 278 patients. Three proteins (F5, TMEM126B and EARS2) were identified as candidate biomarkers in patients with biochemical recurrence. Multivariate Cox regression yielded 18 proteins, from which a risk score was constructed to dichotomise prostate cancer patients into low- and high-risk groups. This 18-protein signature is prognostic for the risk of biochemical recurrence and completely independent of the intermediate GG. Our results suggest that markers generated by computational proteomic profiling have the potential for clinical applications including integration into prostate cancer management.
2023-11-30 | PXD041005 | Pride
Project description:Proteogenomic analysis of 76 patients with clinically relevant intermediate-risk, localized prostate cancer.
| MSV000081552 | MassIVE
Project description:Prostate cancer is the most common malignancy in men. Yet, the modest benefit of treatment highlights the unmet need for prognostic biomarkers in prostate cancer (1). Few large prostate oncogenome resources currently exist that combine the molecular and clinical outcome data necessary for prognostic discovery. To determine the extent to which genomic aberrations reflect the risk of prostate cancer-specific outcomes, we profiled more than 100 primary prostate cancers with long-term follow-up for genome-wide copy number alterations (CNA). We also updated the long-term clinical outcome (median 8 years) of an additional independent cohort of 181 primary prostate cancers that we previously profiled for CNA and expression changes (2). Together, we found that CNA burden across the genome, defined as the percent of the tumor genome affected by CNA, is prognostic for recurrence and metastasis in these two cohorts. This prognostic significance of CNA is independent of Gleason grade, a major existing histopathological prognostic variable in prostate cancer. Moreover, in intermediate-risk Gleason 7 prostate cancers that show a wide range of outcomes, CNA burden is also prognostic for biochemical recurrence, independent of prostate-specific antigen or nomogram score. CNA burden therefore has the potential to stratify patients by their risk of recurrence in an otherwise intermediate risk subpopulation. We further demonstrate that CNA burden can be established in diagnostic FFPE needle biopsies using low-input whole genome sequencing. Together, this work highlights the potential of oncogenomics to identify useful and clinically amenable prognostic factors that may inform prostate cancer outcome and treatment. Human prostate samples were profiled on Agilent 1M aCGH arrays per manufacturer's instructions. A pooled reference normal DNA was used as the reference.
2014-06-30 | E-GEOD-54691 | biostudies-arrayexpress
Project description:EMG produced TPA metagenomics assembly of the Canadian MetaMicrobiome Library Projects (Canadian MetaMicrobiome) data set
| PRJEB22366 | ENA
Project description:Prostate cancer is the most common malignancy in men. Yet, the modest benefit of treatment highlights the unmet need for prognostic biomarkers in prostate cancer (1). Few large prostate oncogenome resources currently exist that combine the molecular and clinical outcome data necessary for prognostic discovery. To determine the extent to which genomic aberrations reflect the risk of prostate cancer-specific outcomes, we profiled more than 100 primary prostate cancers with long-term follow-up for genome-wide copy number alterations (CNA). We also updated the long-term clinical outcome (median 8 years) of an additional independent cohort of 181 primary prostate cancers that we previously profiled for CNA and expression changes (2). Together, we found that CNA burden across the genome, defined as the percent of the tumor genome affected by CNA, is prognostic for recurrence and metastasis in these two cohorts. This prognostic significance of CNA is independent of Gleason grade, a major existing histopathological prognostic variable in prostate cancer. Moreover, in intermediate-risk Gleason 7 prostate cancers that show a wide range of outcomes, CNA burden is also prognostic for biochemical recurrence, independent of prostate-specific antigen or nomogram score. CNA burden therefore has the potential to stratify patients by their risk of recurrence in an otherwise intermediate risk subpopulation. We further demonstrate that CNA burden can be established in diagnostic FFPE needle biopsies using low-input whole genome sequencing. Together, this work highlights the potential of oncogenomics to identify useful and clinically amenable prognostic factors that may inform prostate cancer outcome and treatment.
2014-06-30 | GSE54691 | GEO
Project description:There is a need to understand genetic and lifestyle factors that may influence the risk of cancer progression in men who have organ-confined prostate cancer and have chosen a programme of 'active surveillance' as opposed to radical treatment with the associated health risks. Epidemiological studies have suggested that consumption of cruciferous vegetables is associated with reduced risk of developing aggressive prostate cancer. In this study we recruited men on active surveillance for low- to intermediate-risk prostate cancer to determine whether a 12-month dietary intervention can elicit transcriptional or nmetabolic responses in their prostate that would be consistent with a reduction in the risk of progression. We undertook RNAseq on prostate biopsies collected before and after a 12-month intervention with broccoli soups.
2020-01-01 | E-MTAB-6525 | biostudies-arrayexpress
Project description:This study describes the survival outcomes of advanced stage breast, colorectal, ovarian and pancreatic cancer patients receiving advanced integrative oncology (AIO) treatment at participating North American integrative oncology clinics. This study also aims to describe the integrative treatments recommended by naturopathic doctors (NDs) for these participants alongside their conventional care treatments. Sub-studies will evaluate health-related quality of life, cost of cancer care, and qualitative experience of care in a subset of Canadian participants.
| 2193841 | ecrin-mdr-crc
Project description:The primary objective of this study was to correlate genetic alterations from Hh pathway genes with biochemical free relapse rate. aCGH data of 126 intermediate risk men with histologically confirmed adenocarcinoma of the prostate who had chosen radical radiotherapy as their primary treatment between 1996-2006.
2012-09-28 | E-GEOD-41120 | biostudies-arrayexpress
Project description:Prostate cancer is the second most occurring cancer in men worldwide, and with the advances made with screening for prostate-specific antigen, it has been prone to early diagnosis and over-treatment. To better understand the mechanisms of tumorigenesis and possible treatment responses, we developed a mathematical model of prostate cancer which considers the major signalling pathways known to be deregulated. The model includes pathways such as androgen receptor, MAPK, Wnt, NFkB, PI3K/AKT, MAPK, mTOR, SHH, the cell cycle, the epithelial-mesenchymal transition (EMT), apoptosis and DNA damage pathways. The final model accounts for 133 nodes and 449 edges. We applied a methodology to personalise this Boolean model to molecular data to reflect the heterogeneity and specific response to perturbations of cancer patients, using TCGA and GDSC datasets.
2022-06-22 | MODEL2106070001 | BioModels