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Series GSE203024 Query DataSets for GSE203024
Status Public on Aug 31, 2024
Title Gene Expression Data from Human Peripheral Blood
Organism Homo sapiens
Experiment type Expression profiling by array
Summary Early diagnosis of cancer has been shown to substantially improve 5-year survival rates for many cancer types. With current methodologies early diagnosis has proven difficult for cancers of deep tissues, such as the pancreas and lung. However, whole peripheral blood has been demonstrated to be a promising non-invasive surrogate tissue for the detection of many types of cancer.
Blood samples were collected in EDTA blood collection tubes from 2,485 human volunteers and gene expression profiled with the goal to develop a classification model that differentiations patients with cancer from those without cancer.
 
Overall design A set of 1,013 unique patient blood samples spanning 11 types of cancer or pre-cancer (colorectal polyps) of interest and 1,832 unique control samples, including those with autoimmune and cardiovascular disease, were collected and profiled on Affymetrix U133 Plus 2.0 GeneChips. A multi-cancer classification model was generated using logistic regression to classify sample profiles into the 11 different cancer classes.
 
Contributor(s) Chao S, Pilcz T, Stamatiou D, Ying J, Dempsey AA
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Submission date May 14, 2022
Last update date Aug 31, 2024
Contact name Adam Dempsey
E-mail(s) [email protected]
Phone 804-655-6595
Organization name StageZero Life Sciences
Street address ​8751 Park Central Drive, Suite 200
City Richmond
State/province VA
ZIP/Postal code 23227
Country USA
 
Platforms (1)
GPL570 [HG-U133_Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array
Samples (2845)
GSM6149799 peripheral blood, bladder cancer-r1 (BT0009)
GSM6149800 peripheral blood, bladder cancer-r1 (BT0012)
GSM6149801 peripheral blood, bladder cancer-r1 (BT0017)
Relations
BioProject PRJNA838190

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE203024_RAW.tar 15.5 Gb (http)(custom) TAR (of CEL, CHP)
Processed data included within Sample table
Processed data provided as supplementary file
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