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Updated: May 12, 2026
09:08
Integration of Bioinformatics Approaches and Experimental Validations to Understand the Role of Notch Signaling in Ovarian Cancer
Published on: January 12, 2020
curatedOvarianData: clinically annotated data for the ovarian cancer transcriptome
Benjamin Frederick Ganzfried1, Markus Riester, Benjamin Haibe-Kains
1Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, MA 02115, USA.
Summary
This study presents a curated ovarian cancer gene expression database and software for reproducible analysis. The resource confirms CXCL12 as a biomarker for patient survival, aiding ovarian cancer research.
Area of Science:
- Bioinformatics
- Genomics
- Oncology
Background:
- Ovarian cancer research requires large, harmonized datasets for robust gene expression meta-analysis.
- Existing microarray data is often heterogeneous, hindering reproducible analysis and biomarker discovery.
Purpose of the Study:
- To create a manually curated gene expression database for ovarian cancer patients.
- To develop software for reproducible preparation of similar databases.
- To facilitate meta-analysis of ovarian cancer transcriptomics for biomarker identification.
Main Methods:
- Manual curation of gene expression data from 23 ovarian cancer studies (2970 patients).
- Uniform data preparation and integration of clinical metadata.
- Implementation as the curatedOvarianData Bioconductor package for R.
Main Results:
- A comprehensive resource with uniformly processed microarray data and curated clinical metadata.
- Enabled immediate meta-analysis without data harmonization challenges.
- Confirmed CXCL12 as a biomarker associated with ovarian cancer patient survival, independent of stage and surgical debulking.
Conclusions:
- The curatedOvarianData package provides a flexible resource for clinically oriented ovarian cancer transcriptome investigation.
- Meta-analysis is crucial for identifying biomarkers like CXCL12, especially with limited sample sizes in individual studies.
- The provided pipeline ensures reproducible database creation for future research.
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