A Functional and Regulatory Network Associated with PIP Expression in Human Breast Cancer
Author Information
Author(s): Debily Marie-Anne, Marhomy Sandrine El, Boulanger Virginie, Eveno Eric, Mariage-Samson Régine, Camarca Alessandra, Auffray Charles, Piatier-Tonneau Dominique, Imbeaud Sandrine
Primary Institution: Pierre & Marie Curie University, Paris VI, Villejuif, France
Hypothesis
The study investigates the functional and regulatory network of genes co-modulated with PIP expression in breast cancer cell lines.
Conclusion
The study identifies biological pathways modulated along with PIP expression, supporting its prognostic value in breast cancer.
Supporting Evidence
- Microarray analysis identified genes co-modulated with PIP expression.
- Functional and regulatory network analyses revealed a master network of PIP co-modulated genes.
- The network includes oncogenes and tumor suppressor genes associated with breast cancer.
- Half of the identified genes were differentially expressed with high precision.
- STAT5 was suggested as a potential transcriptional regulator in the PIP regulatory network.
- Results support the good prognostic value of PIP expression in breast cancer.
- Gene expression modulations were linked to reduced cell proliferation and increased apoptosis.
- Further biological and clinical investigations are warranted to explore these findings.
Takeaway
Researchers looked at how a protein called PIP affects other genes in breast cancer cells, finding that it helps predict how well patients might do.
Methodology
The study used DNA microarray-based gene expression profiling and network analysis on breast cancer cell lines with different PIP expression levels.
Potential Biases
Potential bias due to the use of specific cell lines that may not represent all breast cancer types.
Limitations
The study may not account for all genetic variations present in different breast cancer types.
Participant Demographics
The study involved breast cancer cell lines, with no specific human demographics provided.
Statistical Information
P-Value
p<0.01
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
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