Evidence map›Paper›PMID 31905791›Full record

ReviewInternational journal of molecular sciences2019

Resolution of Complex Issues in Genome Regulation and Cancer Requires Non-Linear and Network-Based Thermodynamics.

Jekaterina Erenpreisa, Alessandro Giuliani

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

18 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Phase Separation in Chromatin Organization and Human Diseases.International journal of molecular sciences · 2025
    Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Special Issue "Advances in Genome Regulation in Cancer".International journal of molecular sciences · 2023
    Article
  8. Review
  9. Spatial-Temporal Genome Regulation in Stress-Response and Cell-Fate Change.International journal of molecular sciences · 2023
    Review
  10. Article
  11. Review
  12. Review
  13. Review
  14. Review
  15. Review
  16. Article
  17. Article
  18. 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

2 authors at 2 institutions in 2 countries.

Jekaterina ErenpreisaCancer Research Division, Latvian Biomedicine Research and Study Centre, LV1067 Riga, Latvia.ORCID 0000-0002-2870-7775
Alessandro GiulianiEnvironmental and Health Department, Istituto Superiore di Sanità, 00161 Rome, Italy.ORCID 0000-0002-4640-804X
Istituto Superiore di Sanità · ITLatvian Biomedical Research and Study Centre · LV

Funding

European Regional Development Fund 1.1.1./18/A/099
6 · The paper itself

Abstract

The apparent lack of success in curing cancer that was evidenced in the last four decades of molecular medicine indicates the need for a global re-thinking both its nature and the biological approaches that we are taking in its solution. The reductionist, one gene/one protein method that has served us well until now, and that still dominates in biomedicine, requires complementation with a more systemic/holistic approach, to address the huge problem of cross-talk between more than 20,000 protein-coding genes, about 100,000 protein types, and the multiple layers of biological organization. In this perspective, the relationship between the chromatin network organization and gene expression regulation plays a fundamental role. The elucidation of such a relationship requires a non-linear thermodynamics approach to these biological systems. This change of perspective is a necessary step for developing successful 'tumour-reversion' therapeutic strategies.

Indexed as

ThermodynamicsCellular ReprogrammingChromatinDrug Resistance, NeoplasmGene Expression RegulationGene OrderGenomeHumansNeoplasmsChromatincancer resistance to drugscancer reversion therapychromatin networkgenome positional informationreprogrammingself-organisationtranscription speciation

Identifiers

PMID31905791
PMCPMC6981914
OpenAlexW2997508790

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.