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Updated: Aug 13, 2026

Studying Cell Cycle-regulated Gene Expression by Two Complementary Cell Synchronization Protocols
Published on: June 6, 2017
Not So Fast: Cultivating miRs as Kinks in the Chain of the Cell Cycle
Matthew J Schiewer1, Karen E Knudsen2
1Department of Cancer Biology, Thomas Jefferson University, Philadelphia, PA 19107, USA; The Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA 19107, USA.
Abstract:
In this issue of Cancer Cell, Hydbring and colleagues define a novel class of microRNAs (miRNAs), deemed "cell-cycle-targeting miRNAs," that target several cyclins/CDKs, reduce tumor cell growth, and induce apoptosis. These miRNAs effectively suppressed chemoresistant patient-derived xenograft growth in vivo, and efficacy could be prospectively predicted with an expression-based algorithm.
Insights
Researchers identified novel cell-cycle-targeting microRNAs that inhibit tumor growth and induce apoptosis. These microRNAs show promise in suppressing chemoresistant cancers and can be predicted using a specific algorithm.
Area of Science:
- Oncology
- Molecular Biology
- Genetics
Background:
- MicroRNAs (miRNAs) play crucial roles in gene regulation and are implicated in cancer development.
- Dysregulation of cell cycle progression is a hallmark of cancer, involving proteins like cyclins and cyclin-dependent kinases (CDKs).
- Chemotherapy resistance remains a significant challenge in cancer treatment, necessitating novel therapeutic strategies.
Purpose of the Study:
- To identify and characterize a novel class of microRNAs targeting cell cycle regulators.
- To evaluate the therapeutic potential of these novel miRNAs in reducing tumor growth and inducing apoptosis.
- To develop a predictive algorithm for miRNA efficacy in chemoresistant cancers.
Main Methods:
- Identification and validation of novel microRNAs targeting key cell cycle genes (cyclins/CDKs).
- In vitro assessment of miRNA-induced tumor cell growth inhibition and apoptosis.
- In vivo evaluation of miRNA efficacy in patient-derived xenograft models of chemoresistant cancer.
- Development and validation of an expression-based algorithm for predicting miRNA therapeutic response.
Main Results:
- A novel class of microRNAs, termed "cell-cycle-targeting miRNAs," was defined.
- These miRNAs effectively target cyclins and CDKs, leading to reduced tumor cell proliferation and increased apoptosis.
- Significant suppression of chemoresistant patient-derived xenograft growth was observed in vivo.
- An expression-based algorithm accurately predicted the efficacy of these miRNAs.
Conclusions:
- Cell-cycle-targeting miRNAs represent a promising new class of therapeutic agents for cancer treatment.
- These miRNAs demonstrate efficacy against chemoresistant tumors, offering a potential strategy to overcome treatment resistance.
- Prospective prediction of miRNA efficacy using a developed algorithm can guide clinical application and patient selection.
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