Evidence map›Paper›PMID 26004016›Full record

ArticleNeurobiology of aging2015

Brain network alterations and vulnerability to simulated neurodegeneration in breast cancer.

Shelli R Kesler, Christa L Watson, Douglas W Blayney

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neurobiology of aging, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed, 3 pooled it
7.2field-weighted citation impact, top 2% 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

60 citing papers in PubMed, 3 syntheses or guidelines pooled it, 90 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Review
  6. Article
  7. Review
  8. Seeing through "brain fog": neuroimaging assessment and imaging biomarkers for cancer-related cognitive impairments.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024
    Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Microstructural Properties of Brain White Matter Tracts in Breast Cancer Survivors: A Diffusion Tensor Imaging Study.Pathophysiology : the official journal of the International Society for Pathophysiology · 2022
    Article
  17. Review
  18. Article
  19. Article
  20. Adhesion Molecules ICAM-1 and PECAM-1 as Potential Biomarkers of Central Nervous System Damage in Women Breast Cancer Survivors.Pathophysiology : the official journal of the International Society for Pathophysiology · 2022
    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.

Shelli R KeslerDepartment of Neuro-oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA. Electronic address: skesler@mdanderson.org.
Christa L WatsonMemory and Aging Center, Department of Neurology, University of California at San Francisco, San Francisco, CA, USA.
Douglas W BlayneyDepartment of Medicine, Stanford University School of Medicine, Stanford, CA, USA.
Stanford University · USThe University of Texas MD Anderson Cancer Center · USUniversity Memory and Aging Center · US

Funding

Very-long Term Neurocognitive Outcomes in Breast Cancer Survivors (ProbC2)R01CA172145 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI KESLER, SHELLI R, PALESH, OXANA G · 2012 to 2024
$3.3M
Multimodal MRI Biomarker of Mild Cognitive Impairment in Breast CancerR01NR014195 · NINR · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI KESLER, SHELLI R, WEFEL, JEFFREY SCOTT · 2012 to 2017
$2.5M
Assessment and Treatment of Cognitive Deficits in Breast CancerDP2OD004445 · OD · STANFORD UNIVERSITY · PI KESLER, SHELLI R · 2008 to 2008
$2.4M
NCI NIH HHS 1R01CA172145NCI NIH HHS R01 CA172145NIH HHS 1DP2OD004445NIH HHS DP2 OD004445NINR NIH HHS 1R01NR014195NINR NIH HHS R01 NR014195
6 · The paper itself

Abstract

Breast cancer and its treatments are associated with mild cognitive impairment and brain changes that could indicate an altered or accelerated brain aging process. We applied diffusion tensor imaging and graph theory to measure white matter organization and connectivity in 34 breast cancer survivors compared with 36 matched healthy female controls. We also investigated how brain networks (connectomes) in each group responded to simulated neurodegeneration based on network attack analysis. Compared with controls, the breast cancer group demonstrated significantly lower fractional anisotropy, altered small-world connectome properties, lower brain network tolerance to systematic region (node), and connection (edge) attacks and significant cognitive impairment. Lower tolerance to network attack was associated with cognitive impairment in the breast cancer group. These findings provide further evidence of diffuse white matter pathology after breast cancer and extend the literature in this area with unique data demonstrating increased vulnerability of the post-breast cancer brain network to future neurodegenerative processes.

Indexed as

AdultAgedAgingAnisotropyBreast NeoplasmsCognitive DysfunctionConnectomeDiffusion Tensor ImagingFemaleHumansMiddle AgedNerve DegenerationNerve NetWhite MatterBrain networkBreast cancerConnectomeDTIGraph theoryNetwork attackNeurodegeneration

Identifiers

PMID26004016
PMCPMC4464941
OpenAlexW1978450732

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.