Targeting General Transcriptional Machinery as a Therapeutic Strategy for Adult T-Cell Leukemia.
Regina Wan Ju WongTakashi IshidaTakaomi SandaPublished in: Molecules (Basel, Switzerland) (2018)
Cancer cells are highly reliant on certain molecular pathways, which support their survival and proliferation. The fundamental concept of molecularly targeted therapy is to target a protein that is specifically deregulated or overexpressed in cancer cells. However, drug resistance and tumor heterogeneity are major obstacles in the development of specific inhibitors. Additionally, many driver oncogenes exert their oncogenic property via abnormal expression without having genetic mutations. Interestingly, recent accumulating evidence has demonstrated that many critical cancer genes are driven by a unique class of enhancers termed super-enhancers. Genes associated with super-enhancers are relatively more susceptible to the inhibition of general transcriptional machinery compared with genes that are regulated by typical enhancers. Cancer cells are more sensitive to treatment with small-molecule inhibitors of CDK7 or BRD4 than non-transformed cells. These findings proposed a novel strategy to identify functionally important genes as well as novel therapeutic modalities in cancer. This approach would be particularly useful for genetically complicated cancers, such as adult T-cell leukemia (ATL), whereby a large mutational burden is present, but the functional consequences of each mutation have not been well-studied. In this review, we discuss recent findings on super-enhancers, underlying mechanisms, and the efficacy of small-molecule transcriptional inhibitors in ATL.
Keyphrases
- small molecule
- genome wide
- transcription factor
- protein protein
- childhood cancer
- papillary thyroid
- gene expression
- genome wide identification
- squamous cell
- bioinformatics analysis
- acute myeloid leukemia
- bone marrow
- poor prognosis
- dna methylation
- signaling pathway
- heat shock
- binding protein
- cell cycle arrest
- genome wide analysis
- squamous cell carcinoma
- cancer therapy
- oxidative stress
- drug delivery
- lymph node metastasis
- combination therapy
- amino acid
- single molecule
- endoplasmic reticulum stress