Evidence map›Paper›PMID 35584622›Full record

ReviewCell reports. Medicine2022

Intrinsic transcriptional heterogeneity in neuroblastoma guides mechanistic and therapeutic insights.

Noha A M Shendy, Mark W Zimmerman, Brian J Abraham, Adam D Durbin

Open access · goldAbstract readReview
In one paragraph

Review in Cell reports. Medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

20 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. CRISPR/Cas9-mediatedFrontiers in physiology · 2026
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Cell state plasticity in neuroblastoma.EJC paediatric oncology · 2024
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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 1 country.

Noha A M ShendyDivision of Molecular Oncology, Department of Oncology, St. Jude Children's Research Hospital, Memphis, TN, USA.
Mark W ZimmermanDepartment of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA, USA.
Brian J AbrahamDepartment of Computational Biology, St. Jude Children's Research Hospital, Memphis, TN, USA.
Adam D DurbinDivision of Molecular Oncology, Department of Oncology, St. Jude Children's Research Hospital, Memphis, TN, USA. Electronic address: adam.durbin@stjude.org.
St. Jude Children's Research Hospital · USDana-Farber Cancer Institute · US

Funding

Viral Vector Technology (VVTSR)P30CA021765 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI Gregory Armstrong · 1985 to 2026
$166.9M
Targeting EP300, a selective dependency in neuroblastomaK08CA245251 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI DURBIN, ADAM DAVID · 2020 to 2024
$1.3M
NCI NIH HHS K08 CA245251NCI NIH HHS P30 CA021765
6 · The paper itself

Abstract

Cell state is controlled by master transcription factors (mTFs) that determine the cellular gene expression program. Cancer cells acquire dysregulated gene expression programs by mutational and non-mutational processes. Intratumoral heterogeneity can result from cells displaying distinct mTF-regulated cell states, which co-exist within the tumor. One archetypal tumor associated with transcriptionally regulated heterogeneity is high-risk neuroblastoma (NB). Patients with NB have poor overall survival despite intensive therapies, and relapsed patients are commonly refractory to treatment. The cellular populations that comprise NB are marked by different cohorts of mTFs and differential sensitivity to conventional therapies. Recent studies have highlighted mechanisms by which NB cells dynamically shift the cell state with treatment, revealing new opportunities to control the cellular response to treatment by manipulating cell-state-defining transcriptional programs. Here, we review recent advances in understanding transcriptionally defined cancer heterogeneity. We offer challenges to the field to encourage translation of basic science into clinical benefit.

Indexed as

NeuroblastomaHumansTranscription FactorsTranscription Factorscell statecore regulatory circuitryepigeneticsheterogeneityneuroblastoma

Identifiers

PMID35584622
PMCPMC9133465
OpenAlexW4280498970

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.