Evidence map›Paper›PMID 26156637›Full record

ReviewNature reviews. Cancer2015

Control of cancer formation by intrinsic genetic noise and microenvironmental cues.

Amy Brock, Silva Krause, Donald E Ingber

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
4.9field-weighted citation impact, top 3% 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

33 citing papers in PubMed, 69 citations in OpenAlex.

  1. Article
  2. Genetic variation drives cancer cell adaptation to ECM stiffness.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  3. Article
  4. Critical transition and reversion of tumorigenesis.Experimental & molecular medicine · 2023
    Review
  5. Tumour Stem Cells in Breast Cancer.International journal of molecular sciences · 2022
    Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Defining rules for cancer cell proliferation in TRAIL stimulation.NPJ systems biology and applications · 2019
    Article
  16. Review
  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

3 authors at 3 institutions in 1 country.

Amy Brock1] Department of Biomedical Engineering, Institute for Cell and Molecular Biology, The University of Texas, Austin, Texas 78712, USA. [2].
Silva Krause1] Momenta Pharmaceuticals, Cambridge, Massachusetts 02142, USA. [2].
Donald E IngberWyss Institute for Biologically Inspired Engineering at Harvard University, 3 Blackfan Circle, CLSB 5, Boston, Massachusetts 02115, USA.
Inspire Institute · USMomenta Pharmaceuticals (United States) · USThe University of Texas at Austin · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Differentiation therapies that induce malignant cells to stop growing and revert to normal tissue-specific differentiated cell types are successful in the treatment of a few specific haematological tumours. However, this approach has not been widely applied to solid tumours because their developmental origins are less well understood. Recent advances suggest that understanding tumour cell plasticity and how intrinsic factors (such as genetic noise and microenvironmental signals, including physical cues from the extracellular matrix) govern cell state switches will help in the development of clinically relevant differentiation therapies for solid cancers.

Indexed as

Tumor MicroenvironmentAnimalsCarcinogenesisCell ProliferationGene Regulatory NetworksHumansNeoplasms

Identifiers

PMID26156637
OpenAlexW1639755199

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.