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| Status |
Public on Feb 03, 2021 |
| Title |
Gene expression profiles associated with ITGBL1 overexpression |
| Organism |
Homo sapiens |
| Experiment type |
Expression profiling by array
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| Summary |
In our previous microarray study we identified two subgroups of high-grade serous ovarian cancers with distinct gene expression and different survival. Among differentially expressed genes was an Integrin beta-like 1 (ITGBL1), coding for a poorly characterized protein comprised of ten EGF-like repeats.
In this study we investigated ITGBL1 influence on ovarian cancer cells phenotype. Using various functional assays we found that ITGBL1 overexpression affected cellular adhesion, migration and invasiveness, while it had no effect on proliferation rate and the cell cycle. ITGBL1-overexpressing cells were significantly more resistant to cisplatin and paclitaxel, major drugs used in ovarian cancer treatment. Global gene expression analysis revealed that signaling pathways affected by ITGBL1 overexpression were mostly those related to extracellular matrix organization and function, integrin signaling, focal adhesion, cellular communication and motility; these results were consistent with the findings of our functional studies. Overall, our results indicate that higher expression of ITGBL1 in ovarian cancer is associated with features that may worsen clinical course of the disease.
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| Overall design |
We investigated transcriptional activity of ovarian cancer cell lines OAW42 and SKOV3 modified to overexpress ITGBL1 by transduction with PLNCX2-ITGBL1 construct, in contrast with two types of control (wild-type and transduced with empty PLNCX2 vector). Gene expression profiles were determined by RNA extraction and hybrydization on Affymetrix Human Transcriptome Arrays in three replicates for each variant.
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| Contributor(s) |
Cortez AJ, Lisowska KM |
| Citation(s) |
32961775, 27028324 |
| |
| Submission date |
Feb 02, 2021 |
| Last update date |
Jun 20, 2023 |
| Contact name |
Alexander Jorge Cortez |
| E-mail(s) |
alexander.cortez@gliwice.nio.gov.pl
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| Organization name |
Maria Sklodowska-Curie National Research Institute of Oncology Gliwice Branch
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| Department |
Department of Biostatistics and Bioinformatics
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| Street address |
Wybrzeze Armii Krajowej 15
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| City |
Gliwice |
| State/province |
Silesia |
| ZIP/Postal code |
44-102 |
| Country |
Poland |
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| Platforms (1) |
| GPL28460 |
[HTA-2_0] Affymetrix Human Transcriptome Array 2.0 [CDF: hta20_Hs_ENTREZG_23.0.0] |
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| Samples (18)
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| Relations |
| BioProject |
PRJNA699005 |
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