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Updated: Apr 29, 2026

Mapping the Structure-Function Relationships of Disordered Oncogenic Transcription Factors Using Transcriptomic Analysis
Published on: June 27, 2020
Functional interactions among members of the MAX and MLX transcriptional network during oncogenesis
Daniel Diolaiti1, Lisa McFerrin1, Patrick A Carroll1
1Division of Basic Sciences, Fred Hutchinson Cancer Research Center, USA.
Abstract:
The transcription factor MYC and its related family members MYCN and MYCL have been implicated in the etiology of a wide spectrum of human cancers. Compared to other oncoproteins, such as RAS or SRC, MYC is unique because its protein coding region is rarely mutated. Instead, MYC's oncogenic properties are unleashed by regulatory mutations leading to unconstrained high levels of expression. Under both normal and pathological conditions MYC regulates multiple aspects of cellular physiology including proliferation, differentiation, apoptosis, growth and metabolism by controlling the expression of thousands of genes. How a single transcription factor exerts such broad effects remains a fascinating puzzle. Notably, MYC is part of a network of bHLHLZ proteins centered on the MYC heterodimeric partner MAX and its counterpart, the MAX-like protein MLX. This network includes MXD1-4, MNT, MGA, MONDOA and MONDOB proteins. With some exceptions, MXD proteins have been functionally linked to cell cycle arrest and differentiation, while MONDO proteins control cellular metabolism. Although the temporal expression patterns of many of these proteins can differ markedly they are frequently expressed simultaneously in the same cellular context, and potentially bind to the same, or similar DNA consensus sequence. Here we review the activities and interactions among these proteins and propose that the broad spectrum of phenotypes elicited by MYC deregulation is intimately connected to the functions and regulation of the other network members. Furthermore, we provide a meta-analysis of TCGA data suggesting that the coordinate regulation of the network is important in MYC driven tumorigenesis. This article is part of a Special Issue entitled: Myc proteins in cell biology and pathology.
Insights
The MYC oncogene drives cancer through dysregulated expression, not mutation. Its broad effects stem from interactions within a network of related transcription factors, crucial for tumorigenesis.
Area of Science:
- Molecular biology
- Cancer research
- Genetics
Background:
- The MYC oncogene family (MYC, MYCN, MYCL) is central to human cancer etiology.
- Unlike other oncoproteins, MYC's oncogenic role arises from dysregulated expression, not mutations in its coding region.
- MYC controls numerous cellular processes, including proliferation, differentiation, apoptosis, growth, and metabolism, by regulating thousands of genes.
Purpose of the Study:
- To review the activities and interactions within the MYC-centered transcription factor network.
- To propose a connection between MYC deregulation phenotypes and the functions/regulation of network members.
- To investigate the role of coordinate network regulation in MYC-driven tumorigenesis using TCGA data.
Main Methods:
- Literature review of MYC family proteins and their interacting partners.
- Analysis of protein network interactions, including heterodimerization with MAX and MLX.
- Meta-analysis of The Cancer Genome Atlas (TCGA) data.
Main Results:
- MYC functions within a network including MAX, MLX, MXD proteins (cell cycle arrest, differentiation), and MONDO proteins (metabolism).
- Despite differing expression patterns, these proteins often co-exist and bind similar DNA sequences.
- TCGA data analysis suggests coordinate regulation of this network is vital in MYC-driven cancers.
Conclusions:
- The wide-ranging effects of MYC deregulation are linked to the integrated functions and regulation of its network partners.
- Coordinated regulation within the MYC-centered network is a significant factor in MYC-driven tumorigenesis.
- Understanding this network offers insights into cancer biology and potential therapeutic strategies.
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