Evidence map›Paper›PMID 12808131›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2003

A global transcriptional regulatory role for c-Myc in Burkitt's lymphoma cells.

Zirong Li, Sara Van Calcar, Chunxu Qu, Webster K Cavenee, Michael Q Zhang, Bing Ren

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 283 papers.

0numbers the graph read from it
0cells of the map it votes in
283citing papers in PubMed
12.3field-weighted citation impact, top 1% 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

283 citing papers in PubMed, 522 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. Multi-Modal Deep Learning-Based Model to Predict Burkitt Lymphoma Recurrence.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2026
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. STK32C promotes colon tumor progression through activating c-MYC signaling.Cellular and molecular life sciences : CMLS · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. CRL2Oncogene · 2024
    Article
  17. Review
  18. Article
  19. Review
  20. Article

223 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

6 authors at 2 institutions in 1 country.

Zirong LiLudwig Institute for Cancer Research, University of California at San Diego School of Medicine, 9500 Gilman Drive, La Jolla, CA 92093-0653, USA.
Sara Van Calcar
Chunxu Qu
Webster K Cavenee
Michael Q Zhang
Bing Ren
Ludwig Cancer Research · USCold Spring Harbor Laboratory · US

Funding

COMPUTATIONAL ANALYSIS OF GENOME EXPRESSION DATAR01GM060513 · NIGMS · COLD SPRING HARBOR LABORATORY · PI ZHANG, MICHAEL Q · 2000 to 2002
$898k
NIGMS NIH HHS R01 GM060513NIGMS NIH HHS R01-GM60513
6 · The paper itself

Abstract

Overexpression of c-Myc is one of the most common alterations in human cancers, yet it is not clear how this transcription factor acts to promote malignant transformation. To understand the molecular targets of c-Myc function, we have used an unbiased genome-wide location-analysis approach to examine the genomic binding sites of c-Myc in Burkitt's lymphoma cells. We find that c-Myc together with its heterodimeric partner, Max, occupy >15% of gene promoters tested in these cancer cells. The DNA binding of c-Myc and Max correlates extensively with gene expression throughout the genome, a hallmark attribute of general transcription factors. The c-Myc/Max heterodimer complexes also colocalize with transcription factor IID in these cells, further supporting a general role for overexpressed c-Myc in global gene regulation. In addition, transcription of a majority of c-Myc target genes exhibits changes correlated with levels of c-myc mRNA in a diverse set of tissues and cell lines, supporting the conclusion that c-Myc regulates them. Taken together, these results suggest a general role for overexpressed c-Myc in global transcriptional regulation in some cancer cells and point toward molecular mechanisms for c-Myc function in malignant transformation.

Indexed as

Gene Expression Regulation, NeoplasticGenes, mycTranscription FactorsTranscription, GeneticBasic Helix-Loop-Helix Leucine Zipper Transcription FactorsBasic-Leucine Zipper Transcription FactorsBurkitt LymphomaCell Transformation, NeoplasticDimerizationDNA-Binding ProteinsGene Expression ProfilingHumansNeoplasm ProteinsOligonucleotide Array Sequence AnalysisPromoter Regions, GeneticProtein Interaction MappingBasic Helix-Loop-Helix Leucine Zipper Transcription FactorsBasic-Leucine Zipper Transcription FactorsDNA-Binding ProteinsMAX protein, humanMyc associated factor XNeoplasm ProteinsProto-Oncogene Proteins c-mycRNA, MessengerRNA, NeoplasmTranscription FactorsTranscription Factor TFIID

Identifiers

PMID12808131
PMCPMC166200
OpenAlexW2120006551

What OpenQuestion holds

Textmetadata
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.