Induction of Stable Drug Resistance in Human Breast Cancer Cells Using a Combinatorial Zinc Finger Transcription Factor Library
2011

Inducing Drug Resistance in Breast Cancer Cells Using Zinc Finger Transcription Factors

Sample size: 400000 publication 10 minutes Evidence: moderate

Author Information

Author(s): Lee Jeongeun, Hirsh Andrew S., Wittner Ben S., Maeder Morgan L., Singavarapu Rajasekhar, Lang Magdalena, Janarthanan Sailajah, McDermott Ultan, Yajnik Vijay, Ramaswamy Sridhar, Joung J. Keith, Sgroi Dennis C.

Primary Institution: Massachusetts General Hospital

Hypothesis

Can combinatorial zinc finger transcription factor libraries induce drug resistance in breast cancer cells?

Conclusion

The study demonstrates that artificial zinc finger transcription factor libraries can induce stable drug resistance in breast cancer cells and identify a gene expression signature associated with this resistance.

Supporting Evidence

  • Six zinc finger transcription factors were identified that can induce drug resistance.
  • A common gene expression signature associated with drug resistance was identified.
  • The induced drug resistance was linked to poor prognosis in breast cancer patients.
  • Gene set enrichment analysis showed overlap with estrogen receptor-negative breast cancer.
  • Transcriptional profiling revealed distinct gene expression patterns in resistant cells.
  • Fulvestrant resistance was confirmed in multiple breast cancer cell lines.
  • Zinc finger transcription factors can regulate multiple genes simultaneously.
  • The study provides insights into mechanisms of drug resistance in breast cancer.

Takeaway

Scientists used special proteins to change how breast cancer cells behave, making them resistant to a common treatment. This helps us understand how cancer can become harder to treat.

Methodology

The study constructed a large zinc finger transcription factor library and identified members that induce drug resistance through gene expression profiling.

Potential Biases

Potential bias in the selection of cell lines and the interpretation of gene expression data.

Limitations

The study primarily focuses on in vitro models, which may not fully replicate in vivo conditions.

Participant Demographics

The study used estrogen receptor-positive breast cancer cell lines.

Statistical Information

P-Value

p<0.05

Statistical Significance

p<0.05

Digital Object Identifier (DOI)

10.1371/journal.pone.0021112

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