Evidence map›Paper›PMID 32157609›Full record

ArticleJournal of cancer survivorship : research and practice2020

Functional connectome biotypes of chemotherapy-related cognitive impairment.

Shelli R Kesler, Melissa L Petersen, Vikram Rao, Rebecca A Harrison, Oxana Palesh

Abstract read
In one paragraph

Article in Journal of cancer survivorship : research and practice, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–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

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Applications of machine learning and natural language processing to neurocognitive outcomes in posttreatment cancer survivors: a scoping review.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
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  7. Chemotherapy-related cognitive impairment and kidney dysfunction.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2025
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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

5 authors.

Shelli R KeslerCancer Neuroscience Laboratory, School of Nursing, University of Texas at Austin, 1710 Red River St, Austin, TX, 78712, USA. srkesler@austin.utexas.edu.
Melissa L PetersenDepartment of Family Medicine, University of North Texas Health Science Center, Fort Worth, TX, USA.
Vikram RaoCancer Neuroscience Laboratory, School of Nursing, University of Texas at Austin, 1710 Red River St, Austin, TX, 78712, USA.
Rebecca A HarrisonDepartment of Neuro-Oncology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Oxana PaleshDepartment of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Palo Alto, CA, USA.

Funding

Multicenter Randomized Controlled Trial of Brief Behavioral Therapy for Cancer Related InsomniaR01CA239714 · NCI · VIRGINIA COMMONWEALTH UNIVERSITY · PI PALESH, OXANA G · 2020 to 2025
$4.5M
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
Assessment and Treatment of Cognitive Deficits in Breast CancerDP2OD004445 · OD · STANFORD UNIVERSITY · PI KESLER, SHELLI R · 2008 to 2008
$2.4M
NCI NIH HHS R01 CA172145NCI NIH HHS R01 CA239714NIH HHS 1DP2OD004445NIH HHS DP2 OD004445
6 · The paper itself

Abstract

purposeCancer-related cognitive impairment (CRCI) is a common neurotoxicity among patients with breast and other cancers. Neuroimaging studies have demonstrated measurable biomarkers of CRCI but have largely neglected the potential heterogeneity of the syndrome.

methodsWe used retrospective functional MRI data from 80 chemotherapy-treated breast cancer survivors to examine neurophysiologic subtypes or "biotypes" of CRCI. The breast cancer group consisted of training (N = 57) and validation (N = 23) samples.

resultsAn unsupervised clustering approach using connectomes from the training sample identified three distinct biotypes. Cognitive performance (p < 0.05, corrected) and regional connectome organization (p < 0.001, corrected) differed significantly between the biotypes and also from 103 healthy female controls. We then built a random forest classifier using connectome features to distinguish between the biotypes (accuracy = 91%) and applied this to the validation sample to predict biotype assignment. Cognitive performance (p < 0.05, corrected) and regional connectome organization (p < 0.005, corrected) differed significantly between the predicted biotypes and healthy controls. Biotypes were also characterized by divergent clinical and demographic factors as well as patient reported outcomes.

conclusionsNeurophysiologic biotypes may help characterize the heterogeneity associated with CRCI in a data-driven manner based on neuroimaging biomarkers. IMPLICATIONS FOR CANCER SURVIVORS: Our novel findings provide a foundation for detecting potential risk and resilience factors that warrant further study. With further investigation, biotypes might be used to personalize assessments of and interventions for CRCI.

Indexed as

AdultAgedCognitive DysfunctionConnectomeFemaleHumansMaleMiddle AgedRetrospective StudiesBreast CancerCognitionConnectomeMachine LearningMRI

Identifiers

PMID32157609
PMCPMC7958311

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Registered trials

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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.