Evidence map›Paper›PMID 28808338›Full record

ArticleScientific reports2017

A dynamical framework for complex fractional killing.

Richard Ballweg, Andrew L Paek, Tongli Zhang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 15% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Multilevel Mechanisms of Cancer Drug Resistance.International journal of molecular sciences · 2024
    Pooled it
  2. Review
  3. Article
  4. Article
  5. Mathematical Models of Death Signaling Networks.Entropy (Basel, Switzerland) · 2022
    Review
  6. Article
  7. Mutagenic Consequences of Sublethal Cell Death Signaling.International journal of molecular sciences · 2021
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. 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 2 institutions in 1 country.

Richard BallwegDepartment of Molecular and Cellular Physiology, College of Medicine, University of Cincinnati, Cincinnati, OH, USA.
Andrew L PaekDepartment of Molecular and Cellular Biology, University of Arizona, Tucson, AZ, USA.
Tongli ZhangDepartment of Molecular and Cellular Physiology, College of Medicine, University of Cincinnati, Cincinnati, OH, USA. Tongli.zhang@uc.edu.
University of Cincinnati Medical Center · USUniversity of Arizona · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

When chemotherapy drugs are applied to tumor cells with the same or similar genotypes, some cells are killed, while others survive. This fractional killing contributes to drug resistance in cancer. Through an incoherent feedforward loop, chemotherapy drugs not only activate p53 to induce cell death, but also promote the expression of apoptosis inhibitors which inhibit cell death. Consequently, cells in which p53 is activated early undergo apoptosis while cells in which p53 is activated late survive. The incoherent feedforward loop and the essential role of p53 activation timing makes fractional killing a complex dynamical challenge, which is hard to understand with intuition alone. To better understand this process, we have constructed a representative model by integrating the control of apoptosis with the relevant signaling pathways. After the model was trained to recapture the observed properties of fractional killing, it was analyzed with nonlinear dynamical tools. The analysis suggested a simple dynamical framework for fractional killing, which predicts that cell fate can be altered in three possible ways: alteration of bifurcation geometry, alteration of cell trajectories, or both. These predicted categories can explain existing strategies known to combat fractional killing and facilitate the design of novel strategies.

Indexed as

Drug Resistance, NeoplasmModels, TheoreticalAnimalsAntineoplastic AgentsApoptosisHumansTumor Suppressor Protein p53Antineoplastic AgentsTumor Suppressor Protein p53

Identifiers

PMID28808338
PMCPMC5556027
OpenAlexW2743509530

What OpenQuestion holds

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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.