Evidence map›Paper›PMID 24857747›Full record

ReviewBiochimica et biophysica acta2015

Functional interactions among members of the MAX and MLX transcriptional network during oncogenesis.

Daniel Diolaiti, Lisa McFerrin, Patrick A Carroll, Robert N Eisenman

Abstract readReview
In one paragraph

Review in Biochimica et biophysica acta, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed
5.1field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

78 citing papers in PubMed, 123 citations in OpenAlex.

  1. Article
  2. Article
  3. MNT: a new target for AML.Blood neoplasia · 2025
    Article
  4. Article
  5. Article
  6. Article
  7. A Novel Approach of High Dimensional Linear Hypothesis Testing Problem.Journal of the American Statistical Association · 2025
    Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. The Myc-Like Mlx Network Impacts Aging and Metabolism.bioRxiv : the preprint server for biology · 2023
    Article
  16. Long Non-Coding RNAs as "MYC Facilitators".Pathophysiology : the official journal of the International Society for Pathophysiology · 2023
    Review
  17. Article
  18. Article
  19. Demystifying the Druggability of the MYC Family of Oncogenes.Journal of the American Chemical Society · 2023
    Review
  20. Review

18 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

Daniel DiolaitiDivision of Basic Sciences, Fred Hutchinson Cancer Research Center, USA.
Lisa McFerrinDivision of Basic Sciences, Fred Hutchinson Cancer Research Center, USA.
Patrick A CarrollDivision of Basic Sciences, Fred Hutchinson Cancer Research Center, USA.
Robert N EisenmanDivision of Basic Sciences, Fred Hutchinson Cancer Research Center, USA. Electronic address: eisenman@fhcrc.org.
Fred Hutch Cancer Center · USCape Town HVTN Immunology Laboratory / Hutchinson Centre Research Institute of South Africa · ZA

Funding

Regulation of cell growth and proliferation by MycR01CA020525 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI EISENMAN, ROBERT NEIL · 1985 to 2018
$10.7M
MYC ONCOPROTEIN FUNCTIONR37CA057138 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI EISENMAN, ROBERT NEIL · 2003 to 2013
$8.0M
MYC ONCOPROTEIN FUNCTIONR01CA057138 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI EISENMAN, ROBERT NEIL · 1991 to 2018
$4.9M
NCI NIH HHS R01 CA020525NCI NIH HHS R01 CA057138NCI NIH HHS R01-CA20525NCI NIH HHS R37 CA057138NCI NIH HHS R37-CA57138
6 · The paper itself

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.

Indexed as

Basic Helix-Loop-Helix Leucine Zipper Transcription FactorsBasic-Leucine Zipper Transcription FactorsCarcinogenesisCell Transformation, NeoplasticGene Regulatory NetworksHumansNeoplasmsProteolysisProto-Oncogene Proteins c-mycBasic Helix-Loop-Helix Leucine Zipper Transcription FactorsBasic-Leucine Zipper Transcription FactorsMLX protein, humanMyc associated factor XProto-Oncogene Proteins c-mycMax/Mlx transcriptional networkMetabolismMycOncogenesisThe cancer genome atlas (TCGA)Transcription

Identifiers

PMID24857747
PMCPMC4241192
OpenAlexW2055339940

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.