Cognitive dysfunction in cancer: Neuroimaging and genetic approaches to identify biological mechanisms

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Date
2015-04-22
Language
American English
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Ph.D.
Degree Year
2015
Department
Department of Medical & Molecular Genetics
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Indiana University
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Abstract

Although cancer and treatment-associated cognitive dysfunction has been well-documented in the literature, much work remains to elucidate the biological mechanisms driving this effect, hampering current therapeutic efforts. To address this gap, we first reviewed studies utilizing neuroimaging to characterize cognitive dysfunction in cancer, as studies of neurodegenerative diseases point to neuroimaging as a sensitive measure of cognitive dysfunction. This review highlighted the need for longitudinal imaging studies of cancer and treatment-related changes in cerebral structure and function. Subsequently, we utilized multimodal neuroimaging techniques in a female breast cancer cohort to investigate the longitudinal impact of cancer and chemotherapy treatment on cerebral perfusion and gray matter. Our findings indicate that chemotherapy is associated with elevated perfusion, primarily in posterior brain regions, as well as depressed frontal perfusion associated with decreased frontal gray matter density. This pattern of results suggests the involvement of multiple mechanisms of chemotherapy-induced cognitive dysfunction. We also investigated the relationship of cognitive dysfunction and chemotherapy-induced peripheral neuropathy (CIPN), another type of chemotherapy-related nervous system sequelae, again utilizing multimodal, longitudinal neuroimaging, and found that peripheral neuropathy symptoms following chemotherapy were associated with changes in cerebral perfusion and gray matter density. Together, these findings support the hypothesis that multiple biological mechanisms drive cancer and treatment-related cognitive dysfunction. Interestingly, although cancer is associated with cognitive dysfunction, epidemiological studies have shown that cancer and Alzheimer's disease (AD) are inversely correlated. To extend our imaging analysis beyond breast cancer, we leveraged the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort to investigate the inverse relationship of cancer and AD and investigate the impact of both of these diseases on gray matter density. We found that though the inverse relationship of these diseases was replicated in the ADNI cohort, cancer history was associated with lower gray matter density, similar to findings from breast cancer studies, independent of AD diagnostic group. Finally, we reviewed microRNA studies, as microRNAs are important regulators of many cell signaling pathways and have been actively investigated in relation to both diseases. This review suggests several pathways that may be driving the inverse association and may contribute to cognitive dysfunction.

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Indiana University-Purdue University Indianapolis (IUPUI)
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