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Links from GEO DataSets

Items: 4

1.
Full record GDS4381

Patient-derived colorectal cancer explants

Analysis of patient-derived colorectal cancer explants (PDCCE), generated by direct transplantation of human colorectal cancer (CRC) tissues into NOD-SCID mice, and matched patient CRC primary tumors. Results provide insight into the degree to which PDCCEs represent their primary human counterparts.
Organism:
Homo sapiens
Type:
Expression profiling by array, transformed count, 2 tissue sets
Platform:
GPL570
Series:
GSE35144
64 Samples
Download data: CEL
2.

Molecular Evaluation of Patient-Derived Colorectal Cancer Explants as a Pre-clinical Mouse Model of Colorectal Cancer

(Submitter supplied) Mouse models have been developed to investigate colorectal cancer etiology and evaluate new anti-cancer therapies. While genetically engineered and carcinogen-induced mouse models have provided important information with regard to the mechanisms underlying the oncogenic process, xenograft models remain the standard for the evaluation of new chemotherapy and targeted drug treatments for clinical use. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Dataset:
GDS4381
Platform:
GPL570
64 Samples
Download data: CEL
Series
Accession:
GSE35144
ID:
200035144
3.

Comprehensive profiling of DNA methylation in colorectal cancer reveals subgroups with distinct clinicopathological and molecular features

(Submitter supplied) The Illumina GoldenGate® methylation array was used to evaluate DNA methylation at 1,505 CpG sites in 807 cancer-related genes in 91 consecutive CRC samples and 28 matched normal colonic mucosa.
Organism:
Homo sapiens
Type:
Methylation profiling by array
Platform:
GPL9183
119 Samples
Download data
Series
Accession:
GSE39446
ID:
200039446
4.

Characterization of an Oxaliplatin Sensitivity Predictor in a preclinical Murine Model of Colorectal Cancer

(Submitter supplied) Despite advances in contemporary chemotherapeutic strategies, long term survival still remains elusive for patients with metastatic colorectal cancer. A better understanding of the molecular markers of drug sensitivity to match therapy with patient is needed to improve clinical outcomes. In this study, we used in vitro drug sensitivity data from the NCI-60 cell lines together with their Affymetrix microarray data to develop a gene expression signature to predict sensitivity to oxaliplatin. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL571
42 Samples
Download data: CEL
Series
Accession:
GSE28691
ID:
200028691
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Supplemental Content

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