Molecular Profiling Predicts the Existence of Two Functionally Distinct Classes of Ovarian Cancer Stroma
Joint Authors
Lili, Loukia N.
Matyunina, Lilya V.
Walker, L. DeEtte
Benigno, Benedict B.
McDonald, John F.
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-05-09
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Although stromal cell signaling has been shown to play a significant role in the progression of many cancers, relatively little is known about its importance in modulating ovarian cancer development.
The purpose of this study was to investigate the process of stroma activation in human ovarian cancer by molecular analysis of matched sets of cancer and surrounding stroma tissues.
RNA microarray profiling of 45 tissue samples was carried out using the Affymetrix (U133 Plus 2.0) gene expression platform.
Laser capture microdissection (LCM) was employed to isolate cancer cells from the tumors of ovarian cancer patients (Cepi) and matched sets of surrounding cancer stroma (CS).
For controls, ovarian surface epithelial cells (OSE) were isolated from the normal (noncancerous) ovaries and normal stroma (NS).
Hierarchical clustering of the microarray data resulted in clear separations between the OSE, Cepi, NS, and CS samples.
Expression patterns of genes encoding signaling molecules and compatible receptors in the CS and Cepi samples indicate the existence of two subgroups of cancer stroma (CS) with different propensities to support tumor growth.
Our results indicate that functionally significant variability exists among ovarian cancer patients in the ability of the microenvironment to modulate cancer development.
American Psychological Association (APA)
Lili, Loukia N.& Matyunina, Lilya V.& Walker, L. DeEtte& Benigno, Benedict B.& McDonald, John F.. 2013. Molecular Profiling Predicts the Existence of Two Functionally Distinct Classes of Ovarian Cancer Stroma. BioMed Research International،Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-1005253
Modern Language Association (MLA)
Lili, Loukia N.…[et al.]. Molecular Profiling Predicts the Existence of Two Functionally Distinct Classes of Ovarian Cancer Stroma. BioMed Research International No. 2013 (2013), pp.1-9.
https://search.emarefa.net/detail/BIM-1005253
American Medical Association (AMA)
Lili, Loukia N.& Matyunina, Lilya V.& Walker, L. DeEtte& Benigno, Benedict B.& McDonald, John F.. Molecular Profiling Predicts the Existence of Two Functionally Distinct Classes of Ovarian Cancer Stroma. BioMed Research International. 2013. Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-1005253
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1005253