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Contributions of HOX genes to cancer hallmarks: Enrichment pathway analysis and review. | LitMetric

AI Article Synopsis

  • Homeobox genes are essential transcription factors that regulate development, and their altered expression is frequently linked to cancer.
  • Research has shown that various HOX genes can be either upregulated or downregulated in different types of tumors, influencing tumor behavior and patient response.
  • This review aims to explore how HOX genes contribute to cancer progression, investigate their targets and pathways, and utilize bioinformatics to analyze their role in the characteristics of cancer cells.

Article Abstract

Homeobox genes function as master regulatory transcription factors during development, and their expression is often altered in cancer. The HOX gene family was initially studied intensively to understand how the expression of each gene was involved in forming axial patterns and shaping the body plan during embryogenesis. More recent investigations have discovered that HOX genes can also play an important role in cancer. The literature has shown that the expression of HOX genes may be increased or decreased in different tumors and that these alterations may differ depending on the specific HOX gene involved and the type of cancer being investigated. New studies are also emerging, showing the critical role of some members of the HOX gene family in tumor progression and variation in clinical response. However, there has been limited systematic evaluation of the various contributions of each member of the HOX gene family in the pathways that drive the common phenotypic changes (or "hallmarks") and that underlie the transformation of normal cells to cancer cells. In this review, we investigate the context of the engagement of HOX gene targets and their downstream pathways in the acquisition of competence of tumor cells to undergo malignant transformation and tumor progression. We also summarize published findings on the involvement of HOX genes in carcinogenesis and use bioinformatics methods to examine how their downstream targets and pathways are involved in each hallmark of the cancer phenotype.

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Source
http://dx.doi.org/10.1177/1010428320918050DOI Listing

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