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Changes in cerebral metabolic activity in men undergoing androgen deprivation therapy for non-metastatic prostate cancer

Prostate Cancer and Prostatic Diseasesvolume 21pages394402 (2018) | Download Citation

Abstract

Objective

Androgen deprivation therapy (ADT) is a common treatment option for men with biochemical relapse from prostate cancer. ADT is associated with changes in mood, cognition, and quality of life, and most recently with increased risk for Alzheimer’s disease (AD). This study examined changes in brain metabolism using positron emission tomography (PET) in men undergoing intermittent ADT.

Methods

Nine men with prostate cancer and a rising PSA (biochemical recurrence) without evidence of metastases were treated with intermittent ADT consisting of 9 months of complete androgen blockade achieved with combined leuprolide acetate and flutamide. Patients underwent resting [Fuorine-18] fluorodeoxyglucose PET (18F-FDGPET) at baseline (before treatment) and again after 9 months of ADT.

Results

Whole-brain mapping analysis after 9 months of androgen deprivation compared to pretreatment baseline revealed decreased regional cerebral glucose metabolism in the cerebellum, posterior cingulate, and medial thalamus bilaterally. Associations of brain metabolism with measurements of cognition and mood while on androgen deprivation revealed positive correlations between the posterior cingulate, left inferior parietal lobule (BA40), and left mid temporal gyrus (BA39) and spatial reasoning and a negative correlation between left inferior parietal lobule and verbal memory. Several mood indices were negatively correlated with hypothalamus and brainstem.

Conclusion

These findings suggest that complete androgen deprivation may result in changes in regional brain metabolism associated with variation in mood, verbal memory, and spatial performance. Brain regions that were impacted from ADT are similar and overlap with brain regions with metabolic decline found in early AD and diabetes, suggesting possible common mechanisms.

Introduction

Prostate cancer is the most common form of non-skin cancer diagnosed in men in the United States. Androgen deprivation therapy (ADT) is a common treatment option for men with localized prostate cancer (e.g., in combination with radiation therapy) or for those with a rising PSA after definitive therapy without evidence of metasases. In contrast to those with metastatic disease, such patients have no or minimal disease-related symptoms and may live for many years.

Physiological consequences of ADT may include obesity, anemia, loss of bone mineral density, muscle atrophy, hot flashes, gynecomastia, diabetes, and metabolic syndrome [1]. Changes in quality of life in men undergoing ADT have been previously reported including changes in mood and subjective symptoms of cognitive difficulties [2].

Recent population-based studies have suggested that men undergoing ADT are twice as likely to develop Alzheimer’s disease within a few years of initiating ADT [3,4,5]. While not all studies support this connection [6], there is an indication that ADT decreases cognitive function [7,8,9], brain function [10], and neuronal structure in humans, all of which are prodromal indices of progressive cognitive decline and possible AD [11]. The disease mechanism of AD is unknown, and complex. However, several side effects and impacts of ADT are known to be involved in proposed AD disease mechanisms including loss of testosterone and estradiol [12,13,14,15], inflammatory processes, disruptions to the immune system [12, 16], abnormal lipid and glucose metabolism [17, 18], reduced physical activity [19, 20], and disrupted sleep impacting the glymphatic system (a possible method for brain toxin clearance) [21, 22].

The aim of this study was to determine if men undergoing intermittent ADT evidence changes in brain metabolism as measured by fluorine-18 fluorodeoxyglucose (18F-FDG) positron emission tomography (PET) imaging. 18F-FDGPET imaging is a sensitive method for measuring changes in metabolic changes in the brain, and has been shown to be a reliable method for detecting early declines in brain function in Alzheimer’s disease that corresponds to declines in cognitive and daily function as well as neuropathology [23]. Participants were a subset of men enrolled in a study examining mood and cognitive changes from ADT [7]. We examined patients prospectively, taking advantage of the intermittent aspect of ADT to include a baseline before treatment and repeated neuroimaging after 9 months of ADT, while still on the treatment. Previous findings of declines in spatial reasoning abilities [24] and studies relating parietal and occipital regions involved in spatial processing [25] led us to hypothesize that complete androgen blockade would alter metabolism in parietal and occipital brain regions.

Materials and methods

Participants

Patients were recruited from the genitourinary oncology clinic at the Seattle Cancer Care Alliance and the Urology clinics at the University of Washington Medical Center. Participants were part of a larger study examining cognitive and mood changes from ADT [7], willing to undergo the additional neuroimaging procedures, and met additional criteria for PET imaging. Physicians and nurses informed patients of the opportunity to participate and if they demonstrated interest, they contacted the study coordinator who conducted a brief phone screen to determine eligibility. In order to be eligible for treatment with ADT, patients had to have a rising prostate specific antigen (PSA) following primary therapy (prostatectomy, external beam radiation, or brachytherapy) without evidence of metastatic disease by imaging on bone scan and computed tomography scan of the chest, abdomen, and pelvis. Patients who had pain due to prostate cancer, prior psychiatric illness involving hospitalization, dementia, central nervous system metastasis, history of systemic chemotherapy, and current renal or hepatic dysfunction or diabetes or previous brain injury (>1 h loss of consciousness), surgery or known brain lesion or anomaly that would interfere with PET procedures were not eligible. All participants signed written informed consent approved by the University of Washington Institutional Review Board prior to study procedures.


Study design

Patients received ADT consisting of an anti-androgen (flutamide 250 mg TID) and a GnRH analog (leuprolide acetate 7.5 mg IM (intramuscular) monthly for a total of 9 months duration whereupon ADT was stopped. Patients underwent resting 18F-FDG-PET at baseline before the start of treatment and again after 9 months of ADT. Blood samples for total testosterone (T) and estradiol (E2) were also obtained at the same intervals.


Cognitive and mood measures

Tests included a complex spatial design task in which participants construct complex designs using component parts and the task is timed to completion [26], a mental rotation task in which participants were asked to match complex figures that had been rotated, and a higher score indicates better performance [27]. Verbal memory tasks included a list learning test in which participants heard a list of words read to them followed by a short delay and recall of the list [28], and a story recall task in which participants heard a short story read to them followed by a short and long delay recall [29]. A verbal fluency test, in which participants were required to name as many words beginning with a particular letter in 60 s [30]. For the Stroop test, participants were timed and asked to read words, color blocks, or name the ink color of printed words [31]. On the self-ordered pointing test (SOPT), participants were required to remember an increasing number of visual designs presented in a changing array [32]. Mood assessment included the profile of mood states (POMS) that utilizes a set of mood adjectives and asks participants to rate mood over the past week using a Likert scale. Subscales include tension-anxiety (TA), depression-dejection (Dep), anger-hostility (AH), vigor-activity (VA), fatigue-inertia (FI), and confusion-bewilderment (CON) [33]. Tests and questionnaires are described in additional detail in Cherrier et al. [7].


18F-FDG-PET image acquisition and analysis

After intravenous injection of 370MBq [Fluorine-18]FDG and 45 min uptake at rest in a quiet room with eyes open, standard 18F-FDGPET brain imaging (20-min emission scan and 25-min germanium-68 transmission scan for attenuation correction) in a GE Advance scanner (GE Medical Systems, Milwaukee, Wisconsin), was performed for each subject. Images were reconstructed to in-plane resolution of ~6 mm (full-width-half-maximum). PET image sets were co-registered and anatomically standardized to the human brain atlas [34] using NEUROSTAT (University of Utah) [35, 36]. Pixel intensities were normalized to global cortical activity (set to 1000) and images were smoothed with a Gaussian kernel with σ = 2.25 mm to minimize residual anatomic differences across subjects. To obtain regional values for metabolic activity from a standardized template, PET images were also processed using quantitative data extraction algorithm, three-dimensional stereotactic surface projections (3D-SSPs) [37, 38].


Statistical mapping

Regional metabolic changes pre- and post ADT were assessed using voxelwise one-sample t statistics and probability integral conversion to z-scores. Based on the number of voxels and smoothness of the statistical map, a type I error rate was controlled at 0.05 to account for multiple comparisons [39]. To confirm voxelwise analyses, independent analysis using stereotactically predefined volumes of interest was also performed. In this analysis, stereotactically predefined regions (medial and lateral frontal, parietal, and temporal association cortices and precuneus/posterior cingulate) were applied to the standardized and normalized 3D-SSP data sets as described previously [37, 38]. To evaluate the association of cognition and mood with metabolic activity after ADT, the individual values obtained from the tests were used in a voxelwise correlation analysis of the FDG-PET images over the entire cohort. Correlation coefficients for each voxel were converted to Z-scores (Fisher transformation) and peak locations of significant correlations were mapped over the entire brain. Regional metabolic changes at structures were examined using a paired t test and general linear model controlling age as covariates for change over time. For all statistical analyses, peaks with Z-scores ≥4.0 were considered significant, controlling the type I error rate approximately at p = 0.05 after correction for multiple comparisons based on image smoothness and voxel number. This Z and p value were selected using established theory of statistical analysis methods for PET images [40, 41].


Hormone analyses

A secondary analysis was performed to assess changes in circulating hormone levels testosterone (T) and estradiol (E2) in response to treatment. Serum samples were taken during clinic visits at baseline, and on treatment and were sent to the UWMC clinical laboratory. A repeated-measure analysis of variance (ANOVA) with total testosterone and estradiol was used to assess change from baseline. Information on statistical scripts, data, and imaging analysis can be found at http://www.osf.io/3yxdu.

Results

Nine ADT patients completed the screening visit and were eligible to participate. One patient did not complete a second imaging visit due to a scheduling conflict. Only participants who completed all visits were included in the analyses. ADT patients ranged in age from 50 to 75 years with a mean age of 64 years. Education ranged from 12 to 17 years with a mean education level of 14.6 years. All participants were Caucasian, non-hispanic. See Table 1 for demographics, hormone, cognitive, and mood data.

Table 1 Demographics, serum hormone values, neuropsychological and mood assessment scores

Hormone analyses

A repeated-measure ANOVA revealed a significant change over time for total testosterone F (1,6) = 115.9, p < 0.01 and changed from 3.37 (0.77) nmol/l at baseline to 0.22 (0.07) at month 9. Estradiol decreased from 27.0 (7.2) to 22.1 (4.48) pmol/l, but this was not a significant decrease.

Voxelwise analysis of pre-/post-ADT

Whole-brain analysis of pretreatment (pre) compared to on ADT (post) changes in metabolism revealed significant declines cerebellum (4.2% decreased, Z = −5.09, p = 0.048), posterior cingulate (3% decreased, Z = −4.58, p = 0.021), and medial thalamus (bilateral) (4.8% decreased, Z = −3.95, p = 0.006, p = 0.005 for right and left, respectively) (Fig. 1).

Fig. 1
Fig. 1

Voxelwise comparison of pre- and post-ADT treatment reveals resting hypometabolic regions (i.e. regions showing a significant decrease from baseline). Refer to color bar on the right that indicates the corresponding Z-score of change to color, with lighter color indicating a larger change in Z score. Top row indicates the pattern of hypometabolic deficits on surface projected z-score maps. In subjects, pre- and post-FDG-PET images were compared in a voxelwise paired subtraction analysis and p values converted to Z-scores. Resultant Z-score map was superimposed to an anatomical MRI template for better visualization of hypometabolic pattern. Sagittal aspects are noted. Second row indicates relevant structures identified on axial slices in mm from the AC-PC line according to the stereotactic atlas [14]. (p < 0.05 after controlling type I error rate for multiple comparisons). RT.LAT right lateral, LT.LAT left lateral, RT.MED right medial, LT.MED left medial, PCu precuneus, DMT dorsomedial thalamus, Cb cerebellum

Metabolic activity associated with cognition while on ADT

Cortical glucose metabolism was associated positively and negatively with select cognitive tasks.  Correlation analysis indicated a positive association between performance on a spatial reasoning task (mental rotation) and the posterior cingulate (PCing), left inferior parietal lobule (LPi) (BA40), and left mid temporal lobe (BA39). Higher scores on the mental rotation task indicate better performance. A positive association was observed between the (Stroop test) (higher score is better performance) and activation in left middle frontal gyrus (GFm) (BA 6) and precuneus (PCu) (BA7) (see Fig. 2).

Fig. 2
Fig. 2

Surface projected maps of glucose metabolism correlated to tasks with correlation coefficients converted to Z-scores and superimposed to structural MRI. Significant structures are as indicated by arrows and labels. Sagittal aspects are noted. Upper panel: Voxelwise linear regression of score on a spatial reasoning task with FDG-PET images across all subjects reveals significant peaks in structures including PCing: posterior cingulate, z = 4.2, left LPi: inferior parietal lobule, z = 4.1 and, left GTm: middle temporal gyrus, 4.0. Lower panel: Voxelwise linear regression of score on the Stroop test with FDG-PET images reveals significantly correlated peaks in the PCu: precuneus, z = 4.9 and the left GFm: middle frontal gyrus, z = 4.1. (p < 0.05 after controlling type I error rate for multiple comparisons). RT.LAT right lateral, LT.LAT left lateral, RT.MED right medial, LT.MED left medial

Performance on a verbal memory task (story recall) and a (verbal list learning task) revealed a negative association between left inferior parietal lobule and BA 8 and 9. A higher score on both of these verbal memory tasks indicates better performance. A negative association for inferior parietal lobule, supramarginal gyrus, superior temporal gyrus, fusiform, and bilateral cerebellum was found for the Stroop test (higher score indicates better performance) (see Fig. 3).

Fig. 3
Fig. 3

Cortical glucose metabolism negatively associated with cognition. Surface projected maps of glucose metabolism correlated to tasks with correlation coefficients converted to Z-scores and superimposed to structural MRI. Significant peaks are as indicated by arrows and labels. Sagittal aspects are noted. Relevant structures also identified on axial slices (right side) in mm from the AC-PC line according to the stereotactic atlas. Upper panel (left): Voxelwise linear regression of score on a story task with FDG-PET images across all subjects reveals a single significant peak in the left LPi: inferior parietal lobule, z = −4.4. Middle panel (left): Voxelwise linear regression of score on the verbal list learning task with FDG-PET images reveals significantly correlated peaks in the left GFm: middle frontal gyrus, z = −5.0, right NC: caudate, Z = −5.0, and bilateral GFs: superior frontal gyrus, Z = −5.0.  Lower panel (left) Voxelwise linear regression of score on the Stroop test with FDG-PET images reveals significantly correlated peaks in the bilateral LPi: inferior parietal lobule, z = −5.7, Gsm: supramarginal gyrus, z = −4.3, and Cb: cerebellum, z = −4.2 and in the left GTs: superior temporal gyrus, z = −5.5. (p < 0.05 after controlling type I error rate for multiple comparisons). RT.LAT right lateral, LT.LAT left lateral, RT.MED right medial, LT.MED left medial

Cortical brain activity was associated negatively with mood.  Scores on the POMS that measures mood were negatively correlated with the brainstem and hypothalamus including subscales of depression (DEP), tension/anxiety (TA), and aggression/hostility (AH). The subscale scores of the POMS are compared to normative values, which allows for generation of t tests. The direction of the scales are such that a higher score indicates more severe depression symptoms (DEP), and more symptoms of tension and anxiety (TA), and higher levels of aggression and hostility (AH) (see Fig. 4).

Fig. 4
Fig. 4

Surface projected maps of glucose metabolism correlated to tasks with correlation coefficients converted to Z-scores and superimposed to structural MRI. Significant peaks are as indicated by arrows and labels. Sagittal aspects are noted. Relevant structures also identified on axial slices in mm from the AC-PC line according to the stereotactic atlas [14]. Voxelwise linear regression of scores on the POMS (profile of mood state) that measures mood with FDG-PET images across all subjects reveals significant peaks in the BS: brainstem, z = −5.0 and Hy: hypothalamus, z = −4.6 (z-score map for anger/hostility shown). (p < 0.05 after controlling type I error rate for multiple comparisons). RT.LAT right lateral, LT.LAT left lateral, RT.MED right medial, LT.MED left medial

Discussion

Our findings indicate that otherwise healthy men, with non-metastatic prostate cancer undergoing intermittent ADT demonstrate decreases in brain metabolism in posterior cingulate, cerebellum, and thalamus (dorsal medial) (Fig. 1). We are not aware of a prior report of changes in brain metabolism in response to ADT in humans, in which the state of castration was compared to the eugonadal baseline using a within subject design. Brain regions showing decline in metabolism from ADT overlap with brain regions with metabolic decline from Alzheimer’s disease (AD) as well as type-2 diabetes [42, 43].

The pathogenesis of AD is complex and multi-factorial. However, there are possible reasons for concern of an AD and ADT connection. Testosterone and estradiol, suppressed by ADT have been previously shown in vivo in animal models of AD and in humans to change serum amyloid-beta (Aβ) levels and accumulation, which has a critical role in amyloid plaque formation and neuronal death [12,13,14,15].

Ding et al. [13] examined the impact of loss of estrogen via ovariectomy (OVX) in a triple-transgenic mouse model of AD. OVX resulted in decreased brain glucose uptake and increased abeta oligomer levels, which was reversed with 17-β estradiol administration. Amyloid plaques along with neurofibrillary tangles are the major neuropathological findings in AD that provide for post-mortem confirmation of disease. Gonadotropin releasing hormone (GnRH) receptors, in the hypothalamus, are part of the homeostatic control for releasing hormones and gonadal steroids. GnRH receptors activate immune cells that have been shown to influence amyloid-beta and amyloid brain plaques [12, 16]. ADT induces hot flashes and sleep disturbance [21], and poor sleep disrupts the brain’s natural abeta toxin removal process of the glymphatic system [22]. ADT adversely impacts physical activity and function, increases fat mass, reduces lean muscle mass and increases insulin resistance, all of which are indices of metabolic syndrome [17,18,19,20]. Insulin resistance, is thought to be a critical AD pathological mechanism in which insulin dysregulation and downstream insulin degrading enzyme impact neuronal death and plaque formation [44, 45]. Transgenic mouse models of AD, fed a high-fat diet inducing both changes in lipids and insulin sensitivity, show a more rapid accumulation of amyloid plaques in brain. This has led to a characterization of AD as a “type 3” diabetes [46]. ADT may not have a direct causative relationship with AD, however, the initiation of ADT and related side effects may create a favorable environment for a slow and ongoing disease process of AD to progress at a more rapid pace [47].

Altered brain metabolism from ADT corresponded to changes in cognition. A positive correlation between performance on a spatial reasoning task (mental rotation) and the posterior cingulate, left inferior parietal lobule (BA40), and left mid temporal lobe (BA39) was observed. A significant decline from baseline performance on this spatial reasoning task was observed in the larger sample on this measure [7]. An inability to orient or to wayfind is a common early symptom in AD patients, with frequent incidents of patients getting lost. In addition, AD patients perform poorly on tasks of spatial orientation, and learning that is not entirely accounted for by impairments in memory and new learning [48, 49].

A positive association was found between a measure of executive function (Stroop test) and middle frontal gyrus (BA 6) and precuneus (Fig. 2). Other studies have shown an association between frontal region activation and the Stroop test [50] as well as a decline in executive functions from ADT [8]. Declines in executive function are often prominent along with memory declines in AD patients as well as in type-2 diabetes [43, 51].

In humans, there is some indication of a decline of neural activation from ADT in frontal regions while performing a working memory task as measured by functional magnetic resonance imaging. Chao et al. [52] reported decreased medial prefrontal cortical activation during a working memory task, as well as decreased connectivity between the medial prefrontal cortex and other regions in men on ADT compared to controls.

Our findings revealed a negative association for two verbal memory tasks (story recall and verbal list learning) (Fig. 3), indicating that a decrease in glucose metabolism during ADT was associated with better performance on these tasks. Prior studies have reported mixed findings with regard to verbal memory changes in men undergoing ADT including both improved verbal memory [9] as well as significant declines [53].

Pre-post changes in the thalamus and negative associations between the hypothalamus and brainstem and mood were also observed, suggesting that lower metabolic function was associated with endorsement of higher levels of depression, irritability, and anxiety. While the role of the hypothalamus in integrating limbic functions is well characterized [54], the association with more subtle changes in self-endorsed mood has not been previously reported. Testosterone has been shown to have an anxiolytic effect in animals, and our results suggest a connection between the hypothalamus and mood symptoms. Animal models generally support a connection between the hypothalamus and aggression. Men undergoing ADT have been shown to endorse significant mood symptoms including depression, anxiety, and irritability [55].

Findings from this preliminary study must be interpreted with caution due to the limited sample. Results should be replicated with more subjects. Nonetheless, despite these limitations, our study has several strengths including a within subjects, repeated measure design with on treatment compared to off treatment baseline. Thus, although the absolute sample size is small, the within participant comparison adds strength to the analysis. Further, the study establishment of a pre-ADT baseline, which is challenging in clinical studies given a patient’s desire to rapidly initiate treatment once a rise in PSA (biochemical relapse) has been discovered. Men were carefully screened to ensure no evidence of metastatic disease, and were administered a consistent, predefined ADT regimen (leuprolide acetate and flutamide) and thorough evaluations of both cognition and mood concurrently with neuroimaging. This is in contrast to some studies of ADT that have included men with various anti-androgen treatment regimens including orchiectomy or have included men with varying time exposure to ADT (months to years), or evaluated men after the initiation of ADT.

Conclusion

Our results indicate changes in brain activity as measured by FDG-PET imaging in men with prostate cancer undergoing androgen deprivation, compared to their pre-androgen deprivation baseline. These changes occur in brain regions associated with mood and higher-order cognitive processing and were associated with behavioral measures of mood and cognition. Associations between hypothalamus and mood measures may help explain prior findings of increased irritability and mood changes in men with idiopathic hypogonadism (low testosterone) as well as mood changes with androgen deprivation. The overlap of brain regions with metabolic decline in ADT and early AD and diabetes suggests possible common mechanisms.

Disclaimer

Views and opinions of, and endorsements by the author(s) do not reflect those of the US Army or the Department of Defense.

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Acknowledgements

We thank Marisa Johnson for excellent technical support. This study was supported in part by NCI CA120933, NIA K01AG00858, M01-RR-00037, and Department of Defense, Prostate Cancer Research Program (DAMD17-03-1-0045).

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Affiliations

  1. Department of Psychiatry and Behavioral Sciences, University of Washington School of Medicine, Seattle, WA, USA

    • M. M. Cherrier
  2. Department of Radiology and Imaging Sciences, University of Utah, School of Medicine, Salt Lake City, UT, USA

    • D. J. Cross
    •  & S. Minoshima
  3. Department of Medicine, Division of Oncology and Urology, University of Washington School of Medicine, Seattle, WA, USA

    • C. S. Higano

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Conflict of interest

C.S.H. has acted in a consulting/advisory role for Dendreon, Bayer, Medivation, Ferring, Orion, Emergent Biosolutions, MorphoSys, Churchill Pharmaceuticals, Astellas Pharma, Clovis Oncology, Parexel, Asana Biosciences, Endocyte, Blue Earth Diagnostics; has received research funding for projects (unrelated to this project) from Algeta/Bayer, Aragon Pharmaceuticals, AstraZeneca, Dendreon, Genentech, Medivation, Sanofi, Emergent Biosolutions, Bayer, Pfizer; has received travel accomodations or expenses from Bayer, Dendreon, Astellas Pharma, Emergent Biosolutions, Churchill Pharmaceuticals, Clovis Oncology, Blue Earth Diagnostics, Asana Biosciences, Emergent Biosolutions, Endocyte, Ferring, Genentech, Orion Pharma GmbH, Menarini, Myriad Genetics. The remaining authors declare that they have no conflict of interest.

Corresponding author

Correspondence to M. M. Cherrier.

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DOI

https://doi.org/10.1038/s41391-018-0037-x