Browse
Submit Data
Databases
API
Help

Dataset Information

4 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Identifying and Caring for Individuals With Inherited Cancer Syndrome

ABSTRACT: This trial examines approaches to identify and care for individuals with inherited cancer syndrome. The purpose of this study is to offer no cost genetic testing to the general public. Researchers hope to learn the value of providing broad, public-wide testing for high risk cancer types (like hereditary breast and ovarian cancer or Lynch syndromes) instead of only testing people whose families are known to be high risk.

DISEASE(S): Brca1/2-associated Hereditary Breast And Ovarian Cancer Syndrome,Lynch Syndrome,Hereditary Neoplastic Syndrome,Breast Ductal Carcinoma In Situ,Colorectal Neoplasms, Hereditary Nonpolyposis,Carcinoma, Intraductal, Noninfiltrating,Neoplasms,Carcinoma In Situ,Neoplastic Syndromes, Hereditary,Hematopoietic And Lymphoid System Neoplasm,Carcinoma, Ductal,Malignant Solid Neoplasm,Hereditary Breast And Ovarian Cancer Syndrome,Carcinoma, Ductal, Breast

PROVIDER: 2347417 | ecrin-mdr-crc |

REPOSITORIES: ECRIN MDR

ACCESS DATA

Json Xml

Similar Datasets

Implementation of the Families Accelerating Cascade Testing Toolkit (FACTT) for Hereditary Breast and Ovarian Cancer and Lynch Syndrome

Project description:The purpose of this research study is to learn how cancer care providers can help their patients communicate the need for genetic testing in families with inherited cancer syndromes.

| 2348479 | ecrin-mdr-crc

Pancreatic Cancer Screening of High-Risk Individuals in Arkansas

Project description:100 subjects who have a family history of pancreatic cancer (PC), or known genetic syndromes associated with increased risk of pancreatic cancer, will be followed for five years. This data will be used to determine the pancreatic cancer and precancerous lesion detection rate in High Risk Individuals (HRIs). Subjects may agree to annual imaging and annual biomarkers or to biomarkers only.

| 2179717 | ecrin-mdr-crc

Identifying Underserved Individuals inTexas With Hereditary Cancer Risk Using Mobile Mammography Units and Telegenetics.

Project description:Identifying women at risk for hereditary cancer potentiates prevention, early detection or personalised treatment against cancer. We using mobile mammography units will provide genetic sceening and testing services to underserved women coming for thier mammograms to these units.

| 2265 | ecrin-mdr-crc

Inherited Bone Marrow Failure Syndromes

Project description:Inherited Bone Marrow Failure Syndromes

| PRJNA417131 | ENA

Inherited Bone Marrow Failure Syndromes

Project description:Inherited Bone Marrow Failure Syndromes

| PRJNA417130 | ENA

Feasibility Study: IGNITE-TX (Identifying Individuals for Genetic Testing & Treatment) Intervention

Project description:This is a community-based study requiring participant-self-enrollment, that can help to increase the rates of genetic testing among the family members of people who have been diagnosed with a hereditary cancer syndrome. The two main factors in this study are the IGNITE-TX intervention (website and navigator) and the free genetic counseling and testing. The IGNITE-TX Intervention is an innovative multi-modal intervention, with two components: a) interactive web "IGNITE-TX Hub" and b) genetic family navigators.

| 4417 | ecrin-mdr-crc

Gene expression comparison of colorectal cancer samples from patients diagnosed at a young and elderly age

Project description:Colorectal cancer (CRC) incidence increases with age and early onset of the disease is an indication of genetic predisposition, estimated to cause up to 30 % of all CRC cases. To identify genes associated with an increased risk for CRC, genome-wide gene expression levels of CRCs from patients diagnosed at an early age and CRCs from patients diagnosed at higher age were investigated. Patients with known hereditary predisposition syndromes were excluded from the study. Twenty four patients were diagnosed at a young age (mean, 43 years; range, 28-53 years), referred to as the early onset group. They were excluded from the HNPCC and FAP syndromes by clinical criteria and no other cancer syndromes were recorded for these patients. The second group consisted of 17 patients with primary diagnosis at old age (mean, 79 years; range, 69-87 years), referred to as the late onset group. The samples from the late onset group were selected to reflect the composition of the early onset group with respect to gender, tumor localization and tumor stage according to The International Union Against Cancer (UICC)/American Joint Committee on Cancer (AJCC). Microsatellite instability (MSI) status was previously analyzed in all samples to eliminate the potential risk of including patients with inherited DNA repair deficiencies.

2011-09-06 | E-GEOD-25071 | biostudies-arrayexpress

Genome-wide profiling of methylation identifies novel targets with aberrant hypermethylation and reduced expression in low-risk myelodysplastic syndromes.

Project description:This SuperSeries is composed of the following subset Series: GSE41130: Expression profiling of Low-Risk Myelodysplastic Syndromes (MDSs) GSE41215: Methylation profiling of Low-Risk Myelodysplastic Syndromes (MDSs) Refer to individual Series

2012-09-28 | E-GEOD-41216 | biostudies-arrayexpress

Metabolic reprogramming in the airway epithelium of high risk individuals

Project description:We investigated proteins identified by shotgun proteomics in cytologically normal airway epithelial cells from individuals at different levels of risk for lung cancer. We identified 2869 proteins in bronchial brushings from individuals at low, moderate or high risk for lung cancer. Pathway analysis revealed enrichment of carbohydrate metabolic pathways in high risk individuals. Differential expression of selected proteins was validated by parallel reaction monitoring mass spectrometry in separate individual bronchial brushings. Augmentation of glucose consumption and lactate production measured in human bronchial epithelial cell BEAS2B treated with cigarette smoke condensate and increased synthetic ability and reductive carboxylation revealed by metabolic flux analysis indicated profound metabolic reprogramming.

| MSV000079331 | MassIVE

Transcription profiling of mouse inbred strains to identify germline cancer modifiers using parental strain expression mapping

Project description:Inherited genetic risk factors play an important role in cancer. However, other than cancer susceptibility genes found in familial cancer syndromes and inherited in a Mendelian fashion, little is known about modifier genes (germline variants that interact with each other and with environmental factors) that contribute to individual susceptibility. Here we develop a strategy âparental strain expression mappingâ (PSEM), which utilizes the homogeneity of inbred mice and genome-wide mRNA expression analyses, to directly identify candidate germline modifier genes and pathways underlying phenotypic differences among murine strains exposed to transgenic activation of AKT1. We identified multiple candidate modifier pathways and specifically, the glycolysis pathway as a candidate negative modulator of AKT1-induced proliferation. In keeping with findings in murine models, the expression of the glycolysis pathway was strongly enriched in the non-cancer prostate tissue from patients with prostate cancer who did not recur after surgical resection. Together these data suggest that PSEM can directly identify germline modifier pathways of relevance to human disease. Experiment Overall Design: mRNA expression profiling was carried out with 24 samples of VP from 6 inbred strains.

2008-06-15 | E-GEOD-7270 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data