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| Status |
Public on May 07, 2015 |
| Title |
caArray_cho-00156: Gene Expression in Ovarian Cancer Reflects Both Morphology and Biological Behavior |
| Organism |
Homo sapiens |
| Experiment type |
Expression profiling by array
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| Summary |
Biologically and clinically meaningful tumor classification schemes have long been sought. Some malignant epithelial neoplasms, such as those in the thyroid and endometrium, exhibit more than one pattern of differentiation, each associated with distinctive clinical features and treatments. In other tissues, all carcinomas, regardless of morphological type, are treated as though they represent a single disease. To better understand the biological and clinical features seen in the four major histological types of ovarian carcinoma (OvCa), we analyzed gene expression in 113 ovarian epithelial tumors using oligonucleotide microarrays. Global views of the variation in gene expression were obtained using PCA. These analyses show that mucinous and clear cell OvCas can be readily distinguished from serous OvCas based on their gene expression profiles, regardless of tumor stage and grade. In contrast, endometrioid adenocarcinomas show significant overlap with other histological types. Although high-stage/grade tumors are generally separable from low-stage/grade tumors, clear cell OvCa has a molecular signature that distinguishes it from other poor-prognosis OvCas. Indeed, 73 genes, expressed 2- to 29-fold higher in clear cell OvCas compared with each of the other OvCa types, were identified. Collectively, the data indicate that gene expression patterns in ovarian adenocarcinomas reflect both morphological features and biological behavior. Moreover, these studies provide a foundation for the development of new type-specific diagnostic strategies and treatments for ovarian cancer.
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| Overall design |
cho-00156
Assay Type: Gene Expression
Provider: Affymetrix
Array Designs: Hu6800
Organism: Homo sapiens (ncbitax)
Material Types: synthetic_RNA, organism_part, whole_organism, total_RNA
Disease States: Ovary cancer
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| Citation(s) |
12183431 |
| Submission date |
May 06, 2015 |
| Last update date |
Jul 08, 2016 |
| Contact name |
Mervi Heiskanen |
| E-mail(s) |
mervi.heiskanen@nih.gov
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| Phone |
2402765175
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| Organization name |
NCI
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| Department |
CBIIT
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| Street address |
9609 Medical Center Drive, 1W378
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| City |
Rockville |
| State/province |
MD |
| ZIP/Postal code |
20850 |
| Country |
USA |
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| Platforms (1) |
| GPL80 |
[Hu6800] Affymetrix Human Full Length HuGeneFL Array |
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| Samples (113)
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| Relations |
| BioProject |
PRJNA283195 |
| Supplementary file |
Size |
Download |
File type/resource |
| GSE68600_RAW.tar |
78.8 Mb |
(http)(custom) |
TAR (of CEL, TXT) |
| GSE68600_caArray_cho-00156.tar.gz |
405.3 Kb |
(ftp)(http) |
TAR |
| Processed data included within Sample table |
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