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Grant Details

Grant Number: 2R01CA172145-06 Interpret this number
Primary Investigator: Palesh, Oxana
Organization: Stanford University
Project Title: Very-Long Term Neurocognitive Outcomes in Breast Cancer Survivors
Fiscal Year: 2019
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Abstract

PROJECT SUMMARY/ABSTRACT Chemotherapy-related cognitive impairment (CRCI) is associated with reduced quality of life and survival making it a significant problem that remains understudied. Research by our group and others has demonstrated that CRCI is associated with altered brain structure and function from pretreatment to post treatment. There is significant overlap between chemotherapy actions and physiologic processes involved in aging. Neurocognitive have been found in patients up to 20+ years post- treatment and work by our group and others suggests an accelerated brain aging phenotype in breast cancer survivors treated with chemotherapy. We have also observed that patients may demonstrate unique trajectories of cognitive impairment that require further study. Existing prospective, longitudinal studies of cancer and cognition, including our own, have been limited to relatively short-term post- treatment follow-ups (e.g. 6-12 months). To begin addressing these limitations, we aim to extend our current prospective study (CA172145), which longitudinally examines cognitive function and brain structure/function pre-surgery, 1-month post chemotherapy, and 1-year post chemotherapy. We will continue to assess cohorts of women treated with chemotherapy, chemotherapy na´ve patients, and healthy controls at yearly intervals for 5 additional years (up to 10 years). Using non-invasive neuroimaging methods, we will advance our original aims from the initial project to measure very long- term neurobiologic outcomes with an emphasis on the assessment of neural connectivity rather than specific regional changes (Aim 1). We will also examine very long-term cognitive outcomes as measured by standardized neuropsychological testing (Aim 2). Finally, we will explore different trajectories or subtypes of impairment and their neural phenotypes (Aim 3). The proposed project will significantly advance the understanding of chemotherapy-related cognitive impairments by extending our knowledge on very long-term neurobiological outcomes along with the different subtypes of cognitive impairments and associated neural profiles following breast cancer chemotherapy.

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Publications

Identifying cytokine predictors of cognitive functioning in breast cancer survivors up to 10?years post chemotherapy using machine learning.
Authors: Henneghan A.M. , Palesh O. , Harrison M. , Kesler S.R. .
Source: Journal Of Neuroimmunology, 2018-07-15 00:00:00.0; 320, p. 38-47.
EPub date: 2018-04-19 00:00:00.0.
PMID: 29759139
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Predicting Long-Term Cognitive Outcome Following Breast Cancer with Pre-Treatment Resting State fMRI and Random Forest Machine Learning.
Authors: Kesler S.R. , Rao A. , Blayney D.W. , Oakley-Girvan I.A. , Karuturi M. , Palesh O. .
Source: Frontiers In Human Neuroscience, 2017; 11, p. 555.
EPub date: 2017-11-15 00:00:00.0.
PMID: 29187817
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Probability of Alzheimer's disease in breast cancer survivors based on gray-matter structural network efficiency.
Authors: Kesler S.R. , Rao V. , Ray W.J. , Rao A. , Alzheimer's Disease Neuroimaging Initiative .
Source: Alzheimer's & Dementia (amsterdam, Netherlands), 2017; 9, p. 67-75.
EPub date: 2017-11-01 00:00:00.0.
PMID: 29201992
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The Effect Of Idh1 Mutation On The Structural Connectome In Malignant Astrocytoma
Authors: Kesler S.R. , Noll K. , Cahill D.P. , Rao G. , Wefel J.S. .
Source: Journal Of Neuro-oncology, 2016-11-15 00:00:00.0; , .
PMID: 27848136
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Task-based neurofeedback training: A novel approach toward training executive functions.
Authors: Hosseini S.M. , Pritchard-Berman M. , Sosa N. , Ceja A. , Kesler S.R. .
Source: Neuroimage, 2016-07-01 00:00:00.0; 134, p. 153-9.
EPub date: 2016-07-01 00:00:00.0.
PMID: 27015711
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Neurotoxic Effects of Anthracycline- vs Nonanthracycline-Based Chemotherapy on Cognition in Breast Cancer Survivors.
Authors: Kesler S.R. , Blayney D.W. .
Source: Jama Oncology, 2016 Feb; 2(2), p. 185-92.
PMID: 26633037
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Estimating individual contribution from group-based structural correlation networks.
Authors: Saggar M. , Hosseini S.M. , Bruno J.L. , Quintin E.M. , Raman M.M. , Kesler S.R. , Reiss A.L. .
Source: Neuroimage, 2015-10-15 00:00:00.0; 120, p. 274-84.
EPub date: 2015-10-15 00:00:00.0.
PMID: 26162553
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Brain network alterations and vulnerability to simulated neurodegeneration in breast cancer.
Authors: Kesler S.R. , Watson C.L. , Blayney D.W. .
Source: Neurobiology Of Aging, 2015 Aug; 36(8), p. 2429-42.
PMID: 26004016
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Clinical characteristics, pathophysiology, and management of noncentral nervous system cancer-related cognitive impairment in adults.
Authors: Wefel J.S. , Kesler S.R. , Noll K.R. , Schagen S.B. .
Source: Ca: A Cancer Journal For Clinicians, 2015 Mar; 65(2), p. 123-38.
PMID: 25483452
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Sleep disruption in hematopoietic cell transplantation recipients: prevalence, severity, and clinical management.
Authors: Jim H.S. , Evans B. , Jeong J.M. , Gonzalez B.D. , Johnston L. , Nelson A.M. , Kesler S. , Phillips K.M. , Barata A. , Pidala J. , et al. .
Source: Biology Of Blood And Marrow Transplantation : Journal Of The American Society For Blood And Marrow Transplantation, 2014 Oct; 20(10), p. 1465-84.
PMID: 24747335
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Default mode network as a potential biomarker of chemotherapy-related brain injury.
Authors: Kesler S.R. .
Source: Neurobiology Of Aging, 2014 Sep; 35 Suppl 2, p. S11-9.
PMID: 24913897
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Multivariate pattern analysis of FMRI in breast cancer survivors and healthy women.
Authors: Hosseini S.M. , Kesler S.R. .
Source: Journal Of The International Neuropsychological Society : Jins, 2014 Apr; 20(4), p. 391-401.
EPub date: 2013-10-18 00:00:00.0.
PMID: 24135221
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Prevalence, mechanisms, and management of cancer-related cognitive impairment.
Authors: Janelsins M.C. , Kesler S.R. , Ahles T.A. , Morrow G.R. .
Source: International Review Of Psychiatry (abingdon, England), 2014 Feb; 26(1), p. 102-13.
PMID: 24716504
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Neural correlates of cognitive intervention in persons at risk of developing Alzheimer's disease.
Authors: Hosseini S.M. , Kramer J.H. , Kesler S.R. .
Source: Frontiers In Aging Neuroscience, 2014; 6, p. 231.
EPub date: 2014-08-26 00:00:00.0.
PMID: 25206335
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Elevated prefrontal myo-inositol and choline following breast cancer chemotherapy.
Authors: Kesler S.R. , Watson C. , Koovakkattu D. , Lee C. , O'Hara R. , Mahaffey M.L. , Wefel J.S. .
Source: Brain Imaging And Behavior, 2013 Dec; 7(4), p. 501-10.
PMID: 23536015
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Comparing connectivity pattern and small-world organization between structural correlation and resting-state networks in healthy adults.
Authors: Hosseini S.M. , Kesler S.R. .
Source: Neuroimage, 2013 Sep; 78, p. 402-14.
EPub date: 2013-04-19 00:00:00.0.
PMID: 23603348
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Default mode network connectivity distinguishes chemotherapy-treated breast cancer survivors from controls.
Authors: Kesler S.R. , Wefel J.S. , Hosseini S.M. , Cheung M. , Watson C.L. , Hoeft F. .
Source: Proceedings Of The National Academy Of Sciences Of The United States Of America, 2013-07-09 00:00:00.0; 110(28), p. 11600-5.
EPub date: 2013-06-24 00:00:00.0.
PMID: 23798392
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Influence of choice of null network on small-world parameters of structural correlation networks.
Authors: Hosseini S.M. , Kesler S.R. .
Source: Plos One, 2013; 8(6), p. e67354.
EPub date: 2013-06-28 00:00:00.0.
PMID: 23840672
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Disrupted brain network functional dynamics and hyper-correlation of structural and functional connectome topology in patients with breast cancer prior to treatment.
Authors: Kesler S.R. , Adams M. , Packer M. , Rao V. , Henneghan A.M. , Blayney D.W. , Palesh O. .
Source: Brain And Behavior, 2017 03; 7(3), p. e00643.
EPub date: 2017-02-06 00:00:00.0.
PMID: 28293478
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