Evidence map›Paper›PMID 21056994›Full record

ArticleCancer research2010

Mathematical and experimental approaches to identify and predict the effects of chemotherapy on neuroglial precursors.

Ollivier Hyrien, Jörg Dietrich, Mark Noble

Open access · bronzeAbstract read
In one paragraph

Article in Cancer research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.9field-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

14 citing papers in PubMed, 35 citations in OpenAlex.

  1. Review
  2. Mechanisms of Chemotherapy-Induced Neurotoxicity.Frontiers in pharmacology · 2022
    Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Systemic chemotherapy decreases brain glucose metabolism.Annals of clinical and translational neurology · 2014
    Article
  11. Article
  12. Review
  13. Article
  14. 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.

Ollivier HyrienDepartment of Biostatistics and Computational Biology, University of Rochester Medical Center, 601 Elmwood Avenue, Rochester, NY 14642, USA. Ollivier_Hyrien@urmc.rochester.edu
Jörg Dietrich
Mark Noble
University of Rochester Medical Center · USMassachusetts General Hospital · US

Funding

VISUAL INDICES OF NEUROTOXICITYP30ES001247 · NIEHS · UNIVERSITY OF ROCHESTER · PI Martha Susiarjo · 1985 to 2026
$42.8M
STOCHASTIC MODELING OF MULTI TYPE CELL SYSTEMSR01NS039511 · NINDS · UNIVERSITY OF UTAH · PI HYRIEN, OLLIVIER · 2001 to 2011
$3.2M
Oligodendrocytes &precursors: toxicity of chemotherapyR01NS044701 · NINDS · UNIVERSITY OF ROCHESTER · PI NOBLE, MARK D · 2002 to 2005
$1.5M
Statistical Inference on Chemotherapy Effects from Flow Cytometry DataR01CA134839 · NCI · UNIVERSITY OF ROCHESTER · PI HYRIEN, OLLIVIER · 2008 to 2012
$1.2M
NCI NIH HHS R01 CA134839NCI NIH HHS R01-CA134839NIEHS NIH HHS P30 ES001247NIEHS NIH HHS P30-ES001247NINDS NIH HHS NS44701NINDS NIH HHS R01 NS039511NINDS NIH HHS R01 NS044701NINDS NIH HHS R01-NS39511
6 · The paper itself

Abstract

unlabelledThe adverse effects of chemotherapy on normal cells of the body create substantial clinical problems for many cancer patients. However, relatively little is known about the effects, other than promotion of cell death, of such agents on the function of normal precursor cells critical in tissue homeostasis and repair. We have combined mathematical and experimental analyses to identify the effects of sublethal doses of chemotherapy on glial precursor cells of the central nervous system. We modeled the temporal development of a population of precursor and terminally differentiated cells exposed to sublethal doses of carmustine (BCNU), a classic alkylating chemotherapeutic agent used in treatment of gliomas and non-Hodgkin's lymphomas, as a multitype age-dependent branching process. We fitted our model to data from in vitro clonal experiments using the method of pseudo-likelihood. This approach identifies several novel drug effects, including modification of the cell cycle length, the time between division and differentiation, and alteration in the probability of undergoing self-renewal division in precursor cells. These changes of precursor cell function in the chemotherapy-exposed brain may have profound clinic implications. MAJOR

findingsWe applied our computational approach to analyze the effects of BCNU on clonal cultures of oligodendrocyte progenitor cells-one of the best-characterized neural progenitor cells in the mammalian brain. Our analysis reveals that transient exposures to BCNU increased the cell cycle length of progenitor cells and decreased their time to differentiation, while also decreasing the likelihood that they will undergo self-renewing divisions. By investigating the behavior of our mathematical model, we demonstrate that precursor cell populations should recover spontaneously from transient modifications of the timing of division and of differentiation, but such recovery will not happen after alteration of cell fate. These studies identify means by which precursor cell function can be critically compromised by transient exposure to chemotherapy with long-term consequences on the progenitor cell pool even in the absence of drug-induced apoptosis. These analyses also provide novel tools that apply broadly to identify effects of chemotherapeutic agents and other physiological stressors.

Indexed as

Models, BiologicalAntineoplastic Agents, AlkylatingBrainCarmustineCell DifferentiationCell Growth ProcessesHumansNeurogliaOligodendrogliaStem CellsAntineoplastic Agents, AlkylatingCarmustine

Identifiers

PMID21056994
PMCPMC3035395
OpenAlexW2113587635

What OpenQuestion 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 OpenQuestion graph.