Emerging role of transcription factor-microRNA-target gene feed-forward loops in cancer

Qian Wu1, Hua Qin1, Qiu Zhao1

  • 1Institute of Liver Diseases, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, P.R. China.

Biomedical Reports
|September 26, 2015
PubMed

Insights

Cancer involves transcriptional regulatory networks, particularly feed-forward loops (FFLs). These FFLs, comprising transcription factors (TFs), microRNAs (miRNAs), and target genes, are crucial for understanding tumorigenesis and identifying therapeutic targets.

Area of Science:

  • Molecular Biology
  • Genetics
  • Cancer Research

Background:

  • Transcriptional regulatory networks are key to cancer pathology.
  • Feed-forward loops (FFLs) are significant network motifs within these processes.
  • FFLs involving transcription factors (TFs), microRNAs (miRNAs), and target genes are implicated in cancer, with individual components acting as oncogenes or tumor suppressors.

Purpose of the Study:

  • To highlight the role of TF-miRNA-target loops in cancer.
  • To emphasize the growing interest and research in these specific FFLs.
  • To underscore the potential of these loops for understanding tumorigenesis and drug discovery.

Main Methods:

  • Review of existing literature on transcriptional regulatory networks and FFLs.
  • Identification of key molecular players like p53, miR-17-92, and cyclins within FFLs.
  • Discussion of emerging databases and experimental methods for loop verification.

Main Results:

  • TF-miRNA-target loops are a critical class of FFLs in cancer.
  • Several well-known cancer-related molecules are components of these loops.
  • Advancements in databases and experimental techniques are facilitating the study of these interactions.

Conclusions:

  • TF-miRNA-target loops offer a deeper understanding of cancer mechanisms.
  • These loops represent promising targets for novel cancer therapies and drug development.
  • Continued research into these regulatory networks is vital for future oncological advancements.

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