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Daniel E, Deng F, Patel SK, Sedrak MS, Young J, Kim H, Razavi M, Sun CL, Root JC, Ahles TA, Dale W, Chen BT. Effect of chemotherapy on hippocampal volume and shape in older long-term breast cancer survivors. Front Aging Neurosci 2024; 16:1347721. [PMID: 38524113 PMCID: PMC10957749 DOI: 10.3389/fnagi.2024.1347721] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Accepted: 02/20/2024] [Indexed: 03/26/2024] Open
Abstract
Purpose The objective of this study was to assess changes in hippocampal volume and shape in older long-term breast cancer survivors who were exposed to chemotherapy 5-15 years prior. Methods This study recruited female long-term breast cancer survivors aged 65 years or older with a history of chemotherapy (C+), age-matched breast cancer survivors who did not receive chemotherapy (C-), and healthy controls (HC). The participants were recruited 5-15 years after chemotherapy at time point 1 (TP1) and were followed up for 2 years at time point 2 (TP2). Assessments included hippocampal volume and shape from brain MRI scans and neuropsychological (NP) tests. Results At TP1, each of the three groups was comprised of 20 participants. The C+ group exhibited a hippocampal volume loss estimated in proportion with total intracranial volume (ICV) in both the left and right hemispheres from TP1 to TP2. Regarding the hippocampal shape at TP1, the C+ group displayed inward changes compared to the control groups. Within the C+ group, changes in right hippocampal volume adjusted with ICV were positively correlated with crystalized composite scores (R = 0.450, p = 0.044). Additionally, in C+ groups, chronological age was negatively correlated with right hippocampal volume adjusted with ICV (R = -0.585, p = 0.007). Conclusion The observed hippocampal volume reduction and inward shape deformation within the C+ group may serve as neural basis for cognitive changes in older long-term breast cancer survivors with history of chemotherapy treatment.
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Affiliation(s)
- Ebenezer Daniel
- Department of Diagnostic Radiology, City of Hope National Medical Center, Duarte, CA, United States
| | - Frank Deng
- Department of Diagnostic Radiology, City of Hope National Medical Center, Duarte, CA, United States
| | - Sunita K. Patel
- Department of Population Science, City of Hope National Medical Center, Duarte, CA, United States
| | - Mina S. Sedrak
- Department of Medicine, Division of Hematology-Oncology, University of California Los Angeles David Geffen School of Medicine, Los Angeles, CA, United States
| | - Jonathan Young
- Department of Diagnostic Radiology, City of Hope National Medical Center, Duarte, CA, United States
| | - Heeyoung Kim
- Center for Cancer and Aging, City of Hope National Medical Center, Duarte, CA, United States
| | - Marianne Razavi
- Department of Supportive Care Medicine, City of Hope National Medical Center, Duarte, CA, United States
| | - Can-Lan Sun
- Center for Cancer and Aging, City of Hope National Medical Center, Duarte, CA, United States
| | - James C. Root
- Neurocognitive Research Laboratory, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - Tim A. Ahles
- Neurocognitive Research Laboratory, Memorial Sloan Kettering Cancer Center, New York, NY, United States
| | - William Dale
- Center for Cancer and Aging, City of Hope National Medical Center, Duarte, CA, United States
- Department of Supportive Care Medicine, City of Hope National Medical Center, Duarte, CA, United States
| | - Bihong T. Chen
- Department of Diagnostic Radiology, City of Hope National Medical Center, Duarte, CA, United States
- Center for Cancer and Aging, City of Hope National Medical Center, Duarte, CA, United States
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Daniel E, Deng F, Patel SK, Sedrak MS, Kim H, Razavi M, Sun C, Root JC, Ahles TA, Dale W, Chen BT. Brain white matter microstructural changes in chemotherapy-treated older long-term breast cancer survivors. Cancer Med 2024; 13:e6881. [PMID: 38152038 PMCID: PMC10807556 DOI: 10.1002/cam4.6881] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 12/11/2023] [Accepted: 12/17/2023] [Indexed: 12/29/2023] Open
Abstract
PURPOSE To assess white matter microstructural changes in older long-term breast cancer survivors 5-15 years post-chemotherapy treatment. METHODS Breast cancer survivors aged 65 years or older who underwent chemotherapy (C+) and who did not undergo chemotherapy (C-) and age- and sex-matched healthy controls (HC) were enrolled at time point 1 (TP1) and followed for 2 years for time point 2 (TP2). All participants underwent brain MRI with diffusion tensor images and neuropsychological (NP) testing with the NIH Toolbox Cognition Battery. Tract-based spatial statistics (TBSS) analysis was performed on the diffusion tensor images to assess white matter microstructural changes with the fractional anisotropy (FA) parameter. RESULTS There were significant longitudinal alterations in FA within the C+ group over time. The C+ group showed diminished FA in the body and genu of corpus callosum, anterior corona radiate, and external capsule on both the whole brain and region of interest (ROI) based analyses after p < 0.05 family-wise error (FWE) correction. However, there were no significant group differences between the groups at TP1. Additionally, at TP1, a positive correlation (R = 0.58, p = 0.04) was observed between the FA value of the anterior corona radiata and the crystallized composite score in the C+ group. CONCLUSIONS Brain white matter microstructural alterations may be the underlying neural correlates of cognitive changes in older breast cancer survivors who had chemotherapy treatment years ago.
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Affiliation(s)
- Ebenezer Daniel
- Department of Diagnostic RadiologyCity of Hope National Medical CenterDuarteCAUSA
| | - Frank Deng
- Department of Diagnostic RadiologyCity of Hope National Medical CenterDuarteCAUSA
| | - Sunita K. Patel
- Department of Population ScienceCity of Hope National Medical CenterDuarteCAUSA
| | - Mina S. Sedrak
- Department of Medical OncologyCity of Hope National Medical CenterDuarteCAUSA
| | - Heeyoung Kim
- Center for Cancer and AgingCity of Hope National Medical CenterDuarteCAUSA
| | - Marianne Razavi
- Department of Supportive Care MedicineCity of Hope National Medical CenterDuarteCAUSA
| | - Can‐Lan Sun
- Center for Cancer and AgingCity of Hope National Medical CenterDuarteCAUSA
| | - James C. Root
- Neurocognitive Research LabMemorial Sloan Kettering Cancer CenterNew YorkNYUSA
| | - Tim A. Ahles
- Neurocognitive Research LabMemorial Sloan Kettering Cancer CenterNew YorkNYUSA
| | - William Dale
- Center for Cancer and AgingCity of Hope National Medical CenterDuarteCAUSA
- Department of Supportive Care MedicineCity of Hope National Medical CenterDuarteCAUSA
| | - Bihong T. Chen
- Department of Diagnostic RadiologyCity of Hope National Medical CenterDuarteCAUSA
- Center for Cancer and AgingCity of Hope National Medical CenterDuarteCAUSA
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Kesler SR, Henneghan AM, Prinsloo S, Palesh O, Wintermark M. Neuroimaging based biotypes for precision diagnosis and prognosis in cancer-related cognitive impairment. Front Med (Lausanne) 2023; 10:1199605. [PMID: 37720513 PMCID: PMC10499624 DOI: 10.3389/fmed.2023.1199605] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 08/15/2023] [Indexed: 09/19/2023] Open
Abstract
Cancer related cognitive impairment (CRCI) is commonly associated with cancer and its treatments, yet the present binary diagnostic approach fails to capture the full spectrum of this syndrome. Cognitive function is highly complex and exists on a continuum that is poorly characterized by dichotomous categories. Advanced statistical methodologies applied to symptom assessments have demonstrated that there are multiple subclasses of CRCI. However, studies suggest that relying on symptom assessments alone may fail to account for significant differences in the neural mechanisms that underlie a specific cognitive phenotype. Treatment plans that address the specific physiologic mechanisms involved in an individual patient's condition is the heart of precision medicine. In this narrative review, we discuss how biotyping, a precision medicine framework being utilized in other mental disorders, could be applied to CRCI. Specifically, we discuss how neuroimaging can be used to determine biotypes of CRCI, which allow for increased precision in prediction and diagnosis of CRCI via biologic mechanistic data. Biotypes may also provide more precise clinical endpoints for intervention trials. Biotyping could be made more feasible with proxy imaging technologies or liquid biomarkers. Large cross-sectional phenotyping studies are needed in addition to evaluation of longitudinal trajectories, and data sharing/pooling is highly feasible with currently available digital infrastructures.
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Affiliation(s)
- Shelli R. Kesler
- Division of Adult Health, School of Nursing, The University of Texas at Austin, Austin, TX, United States
- Department of Diagnostic Medicine, Dell School of Medicine, The University of Texas at Austin, Austin, TX, United States
- Department of Oncology, Dell School of Medicine, The University of Texas at Austin, Austin, TX, United States
| | - Ashley M. Henneghan
- Division of Adult Health, School of Nursing, The University of Texas at Austin, Austin, TX, United States
- Department of Oncology, Dell School of Medicine, The University of Texas at Austin, Austin, TX, United States
| | - Sarah Prinsloo
- Department of Neurosurgery, The University of Texas MD Anderson Cancer Center, Houston, TX, United States
| | - Oxana Palesh
- Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, United States
| | - Max Wintermark
- Department of Neuroradiology, The University of Texas MD Anderson Cancer, Houston, TX, United States
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Boerger TF, Pahapill P, Butts AM, Arocho-Quinones E, Raghavan M, Krucoff MO. Large-scale brain networks and intra-axial tumor surgery: a narrative review of functional mapping techniques, critical needs, and scientific opportunities. Front Hum Neurosci 2023; 17:1170419. [PMID: 37520929 PMCID: PMC10372448 DOI: 10.3389/fnhum.2023.1170419] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Accepted: 05/16/2023] [Indexed: 08/01/2023] Open
Abstract
In recent years, a paradigm shift in neuroscience has been occurring from "localizationism," or the idea that the brain is organized into separately functioning modules, toward "connectomics," or the idea that interconnected nodes form networks as the underlying substrates of behavior and thought. Accordingly, our understanding of mechanisms of neurological function, dysfunction, and recovery has evolved to include connections, disconnections, and reconnections. Brain tumors provide a unique opportunity to probe large-scale neural networks with focal and sometimes reversible lesions, allowing neuroscientists the unique opportunity to directly test newly formed hypotheses about underlying brain structural-functional relationships and network properties. Moreover, if a more complete model of neurological dysfunction is to be defined as a "disconnectome," potential avenues for recovery might be mapped through a "reconnectome." Such insight may open the door to novel therapeutic approaches where previous attempts have failed. In this review, we briefly delve into the most clinically relevant neural networks and brain mapping techniques, and we examine how they are being applied to modern neurosurgical brain tumor practices. We then explore how brain tumors might teach us more about mechanisms of global brain dysfunction and recovery through pre- and postoperative longitudinal connectomic and behavioral analyses.
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Affiliation(s)
- Timothy F. Boerger
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, United States
| | - Peter Pahapill
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, United States
| | - Alissa M. Butts
- Department of Neurology, Medical College of Wisconsin, Milwaukee, WI, United States
- Mayo Clinic, Rochester, MN, United States
| | - Elsa Arocho-Quinones
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, United States
| | - Manoj Raghavan
- Department of Neurology, Medical College of Wisconsin, Milwaukee, WI, United States
| | - Max O. Krucoff
- Department of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI, United States
- Department of Biomedical Engineering, Medical College of Wisconsin, Marquette University, Milwaukee, WI, United States
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Daniel E, Deng F, Patel SK, Sedrak MS, Kim H, Razavi M, Sun CL, Root JC, Ahles TA, Dale W, Chen BT. Altered gyrification in chemotherapy-treated older long-term breast cancer survivors. RESEARCH SQUARE 2023:rs.3.rs-2697378. [PMID: 37090667 PMCID: PMC10120747 DOI: 10.21203/rs.3.rs-2697378/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/25/2023]
Abstract
Purpose The purpose of this prospective longitudinal study was to evaluate the changes in brain surface gyrification in older long-term breast cancer survivors 5 to 15 years after chemotherapy treatment. Methods Older breast cancer survivors aged ≥ 65 years treated with chemotherapy (C+) or without chemotherapy (C-) 5-15 years prior and age & sex-matched healthy controls (HC) were recruited (time point 1 (TP1)) and followed up for 2 years (time point 2 (TP2)). Study assessments for both time points included neuropsychological (NP) testing with the NIH Toolbox cognition battery and cortical gyrification analysis based on brain MRI. Results The study cohort with data for both TP1 and TP2 consisted of the following: 10 participants for the C+ group, 12 participants for the C- group, and 13 participants for the HC group. The C+ group had increased gyrification in 6 local gyrus regions including the right fusiform, paracentral, precuneus, superior, middle temporal gyri and left pars opercularis gyrus, and it had decreased gyrification in 2 local gyrus regions from TP1 to TP2 (p < 0.05, Bonferroni corrected). The C- and HC groups showed decreased gyrification only (p < 0.05, Bonferroni corrected). In C+ group, changes in right paracentral gyrification and crystalized composite scores were negatively correlated (R = -0.76, p = 0.01). Conclusions Altered gyrification could be the neural correlate of cognitive changes in older chemotherapy-treated long-term breast cancer survivors.
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Affiliation(s)
| | - Frank Deng
- City of Hope National Medical Center: City of Hope
| | | | | | - Heeyoung Kim
- City of Hope National Medical Center: City of Hope
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