| Literature DB >> 34976536 |
Ahmad M Al-Bashaireh1, Omar Khraisat1, Eman K Alnazly1, Mohannad Aldiqs1.
Abstract
Breast cancer is one of the most prevalent cancers in women. The improvement in breast cancer treatment has significantly increased the proportion of survival rate for women with breast cancer. Despite the advancement in breast cancer treatment, a great proportion of survivors suffer from co-occurring psychoneurological symptoms which impact their quality of life. The most frequently reported psychoneurological symptoms among women with breast cancer are depressive symptoms, anxiety, fatigue, sleep disturbances, and pain. These symptoms usually appear as a cluster. Inflammatory activation and serum metabolic alterations have been associated with the etiology of cancer and with various chronic neurocognitive disorders. However, to date, no studies considered the combined effects of inflammatory markers and metabolites in the development of psychoneurological symptoms in women with breast cancer especially those who were treated with chemotherapy. Further clarification of the relationships between the inflammatory markers, serum metabolic alterations, and psychoneurological symptoms in women with breast cancer should be pursued.Entities:
Keywords: breast cancer; inflammatory markers; metabolic profile; metabolites; psychoneurological symptoms
Year: 2021 PMID: 34976536 PMCID: PMC8713038 DOI: 10.7759/cureus.19953
Source DB: PubMed Journal: Cureus ISSN: 2168-8184
Summary for studies of PNS in women with breast cancer.
PNS: psychoneurological symptoms, NA: not applicable.
| Publication (author, date) | Study Purpose | Study Design | Sample Size | Demographics: Age Stage Race | Therapy: Chemotherapy (CTX), Radiation Therapy (RTX) | PNS: Cluster (C), or Selected Symptom (SS) | Instruments measure PNS | Variables: Inflammatory Markers (IM) Metabolic Profiles (MP) Others | Major Findings |
| Category 1: Theoretical/Conceptual models | |||||||||
| (Lyon et al., 2014) [ | To discuss new hypothesis for the biological basis of PNS through integration of inflammation and DNA repair (genetic and epigenetic) to understand symptoms development and persistence after chemotherapy treatment. | Theoretical: new theory | NA | AN | CTX | C: Persistent PNS: cognitive dysfunction, depression, anxiety, fatigue, sleep disturbances and pain | NA | IM: cytokines Other: Genetics | The epigenetic changes may involve DNA methylation or histone modifications, possibly through perturbations in the protein enhancer of zeste 2 (EZH2). Both telomerase shortening and the epigenetics changes may lead to chromosomal instability and development of the psychoneurological symptoms. |
| (Starkweather et al., 2013a) [ | To discuss new conceptual model for the biological basis of PNS through integration of inflammation and genetic and epigenetic to understand symptoms development and persistence after chemotherapy treatment. | Theoretical: Conceptual Model | NA | NA | CTX | C: PNS cluster | NA | IM Other: Genetics | A proposed theoretical model for the PNS in women with breast cancer, including perceived stress, hypothalamic-pituitary adrenocortical axis dysfunction, inflammation, epigenetic, and genomic factors. |
| Category 2: PNS as an isolated symptom | |||||||||
| (Aboalela et al., 2015) [ | To determine if the exposure to chemotherapy, radiation, and perceived stress cause chromosomal instability and if it has a role in the development and sustainability of PNS associated with breast cancer. | Longitudinal-1 year (4 points) | 71 | 51.3 years Stages (I to IIIA) 49 Caucasian, 22 Black African | CTX, RTX | SS: Stress | Perceived Stress Scale (PSS) | Other: Genetics | The impact of perceived stress on micronuclear/cytome frequencies was detected across all visits, with the highest levels of stress being reported at baseline. Also, the acquired micronuclear/ cytome abnormality frequencies were detected for race & tumor type. |
| (Wu et al., 2014) [ | To examine the longitudinal associations between depressive symptoms and stress hormones over 12 months. | Longitudinal-1 year (4 points) | 227 | 50.58 years Stages (II to III) 204 White, 23 Non-White 23 | CTX, RTX | SS: stress, depression | Perceived Stress Scale (PSS) Epidemiological Studies Depression Scale (CES-D) | Other: Hormones: Cortisol, ACTH, epinephrine, nor-epinephrine | Depressive symptoms were inversely associated to cortisol levels but were positively correlated to rate of change in cortisol. Neither ACTH, epinephrine nor norepinephrine covaried with depressive symptoms. |
| (Hill et al., 2011) [ | To examine the recurrence of depression and anxiety in breast cancer. | Longitudinal -1 year (2 points) | 260 | 51-64 years Stage not provided Race not provided | Not provided | SS: depression & anxiety | Diagnostic and Statistical Manual of Mental Disorders (DSM) criteria (DSM MD and GAD) | None | Two-thirds with episodes of major depression and 40% with episodes of General Anxiety Disorder during the year after diagnosis were experiencing recurrence of previous disorder. Low social support predicted recurrence after controlling for previous disorder. |
| (Byar et al., 2006) [ | To report the differences in fatigue, physical and psychological symptoms during chemotherapy administration over 1 year. | Longitudinal, descriptive design embedded in a pilot intervention study | 25 | Baseline average of 54.3 years and a range of 40-65 years Stages: I-II All Caucasian | CTX (Doxorubicin) | SS: fatigue, physical symptoms (pain, appetite, sleep disturbances, fatigue, bowel patterns, concentration, and appearance), anxiety | Piper Fatigue Scale (PFS) Symptom Experience Scale (SES) Hospital Anxiety and Depression Scale (HADS) | None | Fatigue levels were moderately intense during treatments and decreased significantly over time. Sleep disturbances and pain were the most frequent, intense, and distressing than other physical symptoms. Anxiety was highest at baseline, and depression was highest during the fourth chemotherapy treatment. Fatigue was correlated with other physical and psychological symptoms at some times during treatments and consistently following treatments. |
| Category 3: PNS as a cluster of symptoms | |||||||||
| (Kim et al., 2014) [ | To recognize and compare subgroups with different patterns of change in PNS clusters. | Secondary data analysis (3 points) from RCT | 160 | Age with mean of 54.6 years and range between 30–81 years Stages (0 to IV) 13 Non-Caucasian, 147 Caucasian | CTX, RTX | C: depressed mood & cognitive disturbance, fatigue, insomnia, and pain | Depression and confusion subscales of the (POMS-SF) General Fatigue Scale (GFS( Pittsburgh Sleep Quality Index (PSQI) One item asking about pain intensity (1-4 Likert) Consequence of symptoms was measured by the Functional Performance Inventory (FPI( | None | Five subgroups representing of PSN cluster intensity during therapy were recognized: the gradually increasing pattern subgroup (Group 1); the constantly low pattern subgroup (Group 2); the start low with dramatic increase & decrease pattern subgroup (Group 3); the constantly high pattern subgroup (Group 4); and the start high with dramatic decrease & leveling pattern subgroup (Group 5). The pattern Group 4 was observed in patients without previous cancer treatment experience, higher level of education, medicated with chemotherapy. At the second time follow –up point, clients in Group 4 had the most serious functional limitations. |
| (Thornton et al., 2010) [ | To determine the association between neuroendocrine-immune models and the frequent concurrency of PNS (pain, depression, and fatigue). | Cross-sectional observational study | 104 | 53 ±11 years Stage IV and recurrence cancer 93 Caucasian, 11 African American | CTX, RTX | C:pan, depression, & fatigue | Brief Pain Inventory (BPI) Center for Epidemiological Studies Depression Scale (CES-D) Fatigue Symptom Inventory (FSI) | Other: Hypothalamic–pituitary–adrenal axis, sympathetic nervous system | Latent variable analysis indicated neuroendocrine levels (cortisol, ACTH, epinephrine, & nor-epinephrine) predicted pain, depression and fatigue, while controlling for important disease and demographic variables. |
| (Liu et al., 2009) [ | To explore the relationships between pre‐treatment cluster categories and longitudinal profiles symptoms during the course of chemotherapy. | Prospective longitudinal study (7 points) | 76 | Age with mean of 51.1 ± 9.1 years and a range between 34–79 years Stages I-III 55 Caucasian , 21 Non-Caucasian | CTX | C: sleep, fatigue, depression | Sleep Quality Index (PSQI) Multidimensional Fatigue Symptom Inventory—Short Form (MFSI-SF) Center of Epidemiological Studies-Depression (CES-D) scale | None | All women reported worse sleep, more fatigue and more depressive symptoms during treatment compared with baseline; however, women with a higher pre-treatment symptom cluster index sustained to experience worse symptoms during treatment compared women who began with fewer symptoms. |
| (So et al., 2009) [ | To examine the symptom cluster of fatigue, pain, anxiety, and depression and its effect on the QOL of women with breast cancer that were receiving chemotherapy/ radiotherapy. | Descriptive Study | 215 | Age with mean of 51.65 ± 10.36 years and a range between 29-84 years Stages I-IV Chinese ethnicity | CTX, RTX | C: Fatigue, pain, anxiety, & depression | Chinese versions of the Brief Fatigue Inventory (BFI-C) Chinese version of the - Brief Pain Inventory (BPI-C) Hospital Anxiety and Depression Scale (HADS) Quality of life: the Chinese version of the Functional Assessment of Cancer Therapy for Breast Cancer (FACT-B) | None | Most participants reported mild-to-moderate levels of fatigue and pain. 21% and 36% of patients had an anxiety or depression disorder, respectively. Significant associations between 4 symptoms indicated the presence of the symptom cluster. Patients who received chemotherapy had a poorer QOL. |
| (Kim et al., 2008) [ | To examine treatment-related symptom clusters and the effect of demographic/clinical variables on symptom clustering in women with breast cancer during treatment. | Secondary data analysis (4 points) from RCT | 282 | Age with mean of 55.21 ± 12.1 years and a range between 30-83 years Stages (0 to IV) 258 Caucasian, 24 Non-Caucasian | CTX, RTX | C: PNS cluster: depressed mood & cognitive disturbance, fatigue, insomnia, and pain Upper GI cluster: nausea, vomiting, decreased appetite | Depression and confusion subscales of the (POMS-SF) General Fatigue Scale (GFS( Pittsburgh Sleep Quality Index (PSQI) One item asking about pain intensity (1-4 Likert) | None | Two distinct clusters were identified: a psychoneurological cluster and an upper gastrointestinal cluster. Both clusters had a possibility to occur together during the treatment. Demographic and clinical variables were not significantly associated with symptom clusters. |
| (Bender et al., 2005) [ | To identify and compare/symptom clusters across 3 phases of the disease. | Secondary data analysis (pooled analysis from 3 independent studies) | 154 (Study 1 : 40, Study 2: 88, Study 3: 26) | Study 1: Age: 42.3 ± 5.3 years Stages I-II Race not provided Study 2: Age: 53.2 ± 6.1 years Stages: I-III Race not provided Study 3: Age: 55.2 ± 12.1 years Stage IV Race not provided | CTX, RTX | C: Anxiety, Depression, Anger, Vigor Fatigue, & Confusion | POMS | None | Three symptom clusters were identified corresponding to 3 different phases of the breast cancer experience. Each cluster was composed of symptoms related to fatigue, perceived cognitive impairment (memory problem and loss of concentration), and mood problems (anxiety & depression). |
| Category 4: PNS and inflammatory markers | |||||||||
| (Starkweather et al., 2017) [ | To explore clusters of PNS and inflammation (levels of C-RP) over time in a cohort of women with early-stage breast cancer. | Prospective, longitudinal study (5 points) | 75 | Age with an average of 51.52 ± 10.34 years and a range between(23-71 years Stages: I, IIA, IIB, IIIA 53 Caucasian, 22 African American | CTX | C: cognitive, depression, anxiety, fatigue, sleep disturbance, pain, stress | CNS Vital Signs to measure cognitive Hospital Anxiety and Depression Scale (HADS) The Brief Fatigue Inventory (BFI) General Sleep Disturbance Scale (GSDS) The Brief Pain Inventory (BPI) Perceived Stress Scale (PSS) | IM: C-reactive protein (CRP) | Three clusters were identified: global cognition, affective symptoms, and cognitive efficiency. Across the time of the study, there was an inverse association between levels of C-reactive protein (CRP) and cognitive efficiency. |
| (Lyon et al., 2016) [ | To assess the relationships cytokine to cognitive function over 2 years in early-stage breast cancer. | Prospective, longitudinal study (5 points) | 75 | Age with an average of 51.52 ± 10.34 years and a range between(23-71 years Stages: I, IIA, IIB, IIIA 53 Caucasian, 22 African American | CTX | C: cognitive | CNS Vital Signs to measure cognitive | IM: C-reactive protein (CRP) IM: Cytokines | Over time, there were associations between the patterns of cytokines and domain-specific cognitive functioning. It was found that cytokines from different classes were associated with cognitive performance and such associations were not limited to only prototypical cytokines. |
| (Starkweather et al., 2013b) [ | To examine how symptom cluster subgroups distribute and associate with peripheral cytokine levels. | Secondary data analysis from cross-sectional study | 128 | Age with an average of 47.7 ± 7.7 and a range between 27 - 63 Stages I-II 80 Caucasian | None: assessment was done before CTX | C: Fatigue, & sleep disturbances, Depression, Pain severity & interference | Symptom Experience Survey Center Epidemiological Studies Depression Scale (CES-D) Brief Pain Inventory-Short Form | IM: cytokines | A significant difference between the high and low composite symptom score subgroups was found for interleukin IL-6 and IL-7. |
| (Lyon et al., 2008) [ | To compare cytokine levels and patterns between women with breast cancer and the control group. | Cross-sectional | 35 Positive biopsy, 24 negative biopsy | Positive Biopsy: Age: 48.5 ± 7.9 years Stages I-IV, and Neoadjuvant 23 Non-Hispanic White, 8 Non-Hispanic Black, 1 Hispanic, 2 Asian or Pacific Islander Negative Biopsy: Age: 49.9 ± 10.9 years Stages: not applicable 18 Non-Hispanic White, 6 Non-Hispanic Black | None: before receiving CTX | None | None | IM: cytokines | Compared with women without breast cancer, women with breast cancer had significantly higher levels of all systemic measured cytokines with an exception for granulocyte colony-stimulating factor (GCSF) and interferon-gamma (IF-γ). Three cytokines (GCSF, IL-6, and IL-17) were able to discriminate between the breast cancer and control groups |
| Category 5: PNS and metabolic profile | |||||||||
| (Lyon et al., 2018) [ | To assess the associations between metabolic pathway/ metabolomics (tryptophan) and the psychoneurological symptoms before and after chemotherapy. | Samples taken from prospective, longitudinal study (2 points: prior to initial CTX, and 1-2 week after the final CTX infusion ) | 19 | Age 58.7 ± 5.2 years Stages: I, IIA, IIB, IIIA 13 White, 6 Black | CTX | C:pain, fatigue, depression | The Brief Pain Inventory (BPI) The Brief Fatigue Inventory (BFI ) Hospital Anxiety and Depression Scale (HADS) | Liquid Chromatography/ High-Resolution Mass Spectrometry targeted metabolomics from the tryptophan pathway | Levels of PNS (pain, fatigue, and depression) increased after chemotherapy. This study found symptoms of pain and fatigue were strongly associated with global and several targeted metabolites Concerning the tryptophan pathway, this study found women after chemotherapy had a higher level of pain and fatigue and a significantly higher concentration of acetyl-L-alanine, indoxyl sulfate, kynurenine levels, and kynurenine/ tryptophan. |
| (Louis et al., 2016) [ | To determine whether plasma metabolic phenotype allow differentiating between breast and lung cancer. | Cross –sectional study | Breast Cancer 80 training cohort, & 60 for validation cohort Lung Cancer 55 training cohort & 90 for validation cohort | Breast Cancer Age: the average of age was 58 ± 11 years and a range between 24–86 years for training cohort, and average of age of 60 ± 12 years and a range between 40 –84 for the validation cohort Stage not provided for both groups Race not provided for both groups Lung Cancer Age: the average of age was 61 ± 10 years and a range between 43–88 years for training cohort, and average of age of 66 ± 9 years and a range between 46 83 for the validation cohort Stage not provided for both groups Race not provided for both groups | Not provided | NA | NA | The proton nuclear magnetic resonance ( 1H-NMR) Metabolic Profile (blood) | The 1H-NMR Spectroscopy technique was able to classify 99% of patients with breast cancer and 93% of patients with lung cancer based on their metabolic profile. Results were cross validated. Metabolic phenotyping of plasma permits discriminating between lung and breast cancer. |
Figure 1Proposed theoretical framework.
CRP: C-reactive protein.