Evidence map›Paper›PMID 25564763›Full record

ArticleAging2014

Stochastic modeling indicates that aging and somatic evolution in the hematopoetic system are driven by non-cell-autonomous processes.

Andrii I Rozhok, Jennifer L Salstrom, James DeGregori

Abstract read
In one paragraph

Article in Aging, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
–field-weighted citation impact
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

36 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Review
  6. Review
  7. Normal Aging and Its Role in Cancer Metastasis.Cold Spring Harbor perspectives in medicine · 2020
    Review
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. MicroRNAs and the metabolic hallmarks of aging.Molecular and cellular endocrinology · 2017
    Review
  19. Review
  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.

Andrii I RozhokDepartment of Biochemistry and Molecular Genetics, University of Colorado School of Medicine, Aurora, CO 80045, USA.
Jennifer L SalstromDepartment of Biochemistry and Molecular Genetics, University of Colorado School of Medicine, Aurora, CO 80045, USA. Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO 80045, USA.
James DeGregoriDepartment of Biochemistry and Molecular Genetics, University of Colorado School of Medicine, Aurora, CO 80045, USA. Integrated Department of Immunology, University of Colorado School of Medicine, Aurora, CO 80045, USA. Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO 80045, USA. Department of Medicine, Section of Hematology, University of Colorado School of Medicine, Aurora, CO 80045,USA.

Funding

University of Colorado Cancer Center Support Grant - Lung Cancer Patient-Derived Xenografts with Autologous Human Immune SystemsP30CA046934 · NCI · UNIVERSITY OF COLORADO DENVER · PI James V Degregori · 1988 to 2026
$117.0M
POSTGRADUATE TRAINING IN PEDIATRIC ONCOLOGYT32CA082086 · NCI · UNIVERSITY OF COLORADO DENVER · PI GORE, LIA · 2000 to 2015
$4.1M
Aging-associated alterations in adaptive landscapes and the evolution of leukemiaR01CA180175 · NCI · UNIVERSITY OF COLORADO DENVER · PI DEGREGORI, JAMES V · 2013 to 2018
$1.8M
NCI NIH HHS P30 CA046934NCI NIH HHS R01 CA180175NCI NIH HHS T32 CA082086
6 · The paper itself

Abstract

Age-dependent tissue decline and increased cancer incidence are widely accepted to be rate-limited by the accumulation of somatic mutations over time. Current models of carcinogenesis are dominated by the assumption that oncogenic mutations have defined advantageous fitness effects on recipient stem and progenitor cells, promoting and rate-limiting somatic evolution. However, this assumption is markedly discrepant with evolutionary theory, whereby fitness is a dynamic property of a phenotype imposed upon and widely modulated by environment. We computationally modeled dynamic microenvironment-dependent fitness alterations in hematopoietic stem cells (HSC) within the Sprengel-Liebig system known to govern evolution at the population level. Our model for the first time integrates real data on age-dependent dynamics of HSC division rates, pool size, and accumulation of genetic changes and demonstrates that somatic evolution is not rate-limited by the occurrence of mutations, but instead results from aged microenvironment-driven alterations in the selective/fitness value of previously accumulated genetic changes. Our results are also consistent with evolutionary models of aging and thus oppose both somatic mutation-centric paradigms of carcinogenesis and tissue functional decline. In total, we demonstrate that aging directly promotes HSC fitness decline and somatic evolution via non-cell-autonomous mechanisms.

Indexed as

Biological EvolutionCellular SenescenceModels, BiologicalAgingAnimalsCell ProliferationCell SurvivalCell Transformation, NeoplasticComputer SimulationGenotypeHematopoietic Stem CellsHumansMutationNeoplasmsNeoplastic Stem CellsPhenotype

Identifiers

PMID25564763
PMCPMC4298364

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.