Evidence map›Paper›PMID 36069825›Full record

ArticleCancer research2022

A New View of Activating Mutations in Cancer.

Ruth Nussinov, Chung-Jung Tsai, Hyunbum Jang

Open access · bronzeAbstract read
In one paragraph

Article in Cancer research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
3.0field-weighted citation impact, top 7% 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

32 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
  2. Tyrosine kinases sample unique activation ensembles.bioRxiv : the preprint server for biology · 2026
    Article
  3. Review
  4. Article
  5. Allostery in Biomolecular Condensates.Journal of molecular biology · 2026
    Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Tumors and their microenvironments: Learning from pediatric brain pathologies.Biochimica et biophysica acta. Reviews on cancer · 2025
    Review
  11. Review
  12. Review
  13. Molecular principles underlying aggressive cancers.Signal transduction and targeted therapy · 2025
    Review
  14. Article
  15. Article
  16. Review
  17. Review
  18. Review
  19. Review
  20. Review
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

3 authors at 2 institutions in 2 countries.

Ruth NussinovComputational Structural Biology Section, Frederick National Laboratory for Cancer Research in the Cancer Innovation Laboratory, NCI, Frederick, Maryland.ORCID 0000-0002-8115-6415
Chung-Jung TsaiComputational Structural Biology Section, Frederick National Laboratory for Cancer Research in the Cancer Innovation Laboratory, NCI, Frederick, Maryland.ORCID 0000-0003-1524-9928
Hyunbum JangComputational Structural Biology Section, Frederick National Laboratory for Cancer Research in the Cancer Innovation Laboratory, NCI, Frederick, Maryland.ORCID 0000-0001-9402-4051
Frederick National Laboratory for Cancer Research · USTel Aviv University · IL

Funding

Protein Structure, Stability, and Amyloid FormationZ01BC010440 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI NUSSINOV, RUTH · 2002 to 2008
$1.4M
Intramural NIH HHS Z01 BC010440NCI NIH HHS HHSN261201500003CNCI NIH HHS HHSN261201500003I
6 · The paper itself

Abstract

A vast effort has been invested in the identification of driver mutations of cancer. However, recent studies and observations call into question whether the activating mutations or the signal strength are the major determinant of tumor development. The data argue that signal strength determines cell fate, not the mutation that initiated it. In addition to activating mutations, factors that can impact signaling strength include (i) homeostatic mechanisms that can block or enhance the signal, (ii) the types and locations of additional mutations, and (iii) the expression levels of specific isoforms of genes and regulators of proteins in the pathway. Because signal levels are largely decided by chromatin structure, they vary across cell types, states, and time windows. A strong activating mutation can be restricted by low expression, whereas a weaker mutation can be strengthened by high expression. Strong signals can be associated with cell proliferation, but too strong a signal may result in oncogene-induced senescence. Beyond cancer, moderate signal strength in embryonic neural cells may be associated with neurodevelopmental disorders, and moderate signals in aging may be associated with neurodegenerative diseases, like Alzheimer's disease. The challenge for improving patient outcomes therefore lies in determining signaling thresholds and predicting signal strength.

Indexed as

NeoplasmsCell ProliferationHumansMutationProteinsSignal TransductionProteins

Identifiers

PMID36069825
PMCPMC9664134
OpenAlexW4294917734

What Socratic 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 Socratic graph.