Associations between cytokine genes and a symptom cluster of pain, fatigue, sleep disturbance, and depression in patients prior to breast cancer surgery

Mechanistic insights into behavioral clusters associated with cancer-related systemic inflammatory response

PURPOSE OF REVIEW

This focused, narrative review mostly describes our team's investigations into the potential inflammatory mechanisms that contribute to the development of cancer-related gastrointestinal (GI) mucositis and its associated symptoms. This review summarizes details of our clinical and preclinical findings to test the role of inflammation in the development and occurrence of these cancer-related conditions.

RECENT FINDINGS

GI mucositis (GIM) is a common, distressing condition reported by cancer patients. GIM is often clustered with other behaviors including fatigue, pain, anorexia, depression, and diarrhea. It is hypothesized that there is a common biologic mechanism underpinning this symptom cluster. Our multi-platform investigations revealed that GIM and its associated cluster of behaviors may be triggered by local inflammation spreading systemically causing pro-inflammatory-mediated toxicities, leading to alterations in immune, metabolic, and nervous system functions and activities. For example, behavioral toxicities related to local irradiation for non-metastatic cancer may be triggered by mGluR5 activation influencing prolonged T cell as well as NF-κB transcription factor activities. Thus, interventions targeting inflammation and associated pathways may be a reasonable strategy to alleviate GIM and its symptom cluster.

SUMMARY

GIM may be a sign of a broader systemic inflammatory response triggered by cancer or its treatment. Addressing GIM and its associated symptoms primarily involves supportive care strategies focused on relieving symptoms, promoting healing, and preventing complications.

A bio-behavioral model of systemic inflammation at breast cancer diagnosis and fatigue of clinical importance two years later

BACKGROUND

We aimed to generate a model of cancer-related fatigue (CRF) of clinical importance two years after diagnosis of breast cancer building on clinical and behavioral factors and integrating pre-treatment markers of systemic inflammation.

METHODS

Women with stage I-III HR+/HER2- breast cancer were included from the multimodal, prospective CANTO cohort (NCT01993498). The primary outcome was global CRF of clinical importance (EORTC QLQ-C30≥40/100) two years after diagnosis (year-2). Secondary outcomes included physical, emotional, and cognitive CRF (EORTC QLQ-FA12). All pre-treatment candidate variables were assessed at diagnosis, including inflammatory markers (interleukin [IL]-1a, IL-1b, IL-2, IL-4, IL-6, IL-8, IL-10, interferon gamma, IL-1 receptor antagonist, TNF-α, and C-reactive protein), and were tested in multivariable logistic regression models implementing multiple imputation and validation by 100-fold bootstrap resampling.

RESULTS

Among 1208 patients, 415 (34.4%) reported global CRF of clinical importance at year-2. High pre-treatment levels of IL-6 (Quartile 4 vs.1) were associated with global CRF at year-2 (adjusted Odds Ratio [aOR]: 2.06 [95% Confidence Interval 1.40-3.03]; p=0.0002; AUC=0.74). Patients with high pre-treatment IL-6 had unhealthier behaviors, including being frequently either overweight or obese (62.4%; mean BMI 28.0 [SD 6.3] Kg/m2) and physically inactive (53.5% did not meet WHO recommendations). Clinical and behavioral associations with CRF at year-2 included pre-treatment CRF (aOR vs no: 3.99 [2.81-5.66]), younger age (per 1-year decrement: 1.02 [1.01-1.03]), current smoking (vs never: 1.81 [1.26-2.58]), and worse insomnia or pain (per 10-unit increment: 1.08 [1.04-1.13], and 1.12 [1.04-1.21], respectively). Secondary analyses indicated additional associations of IL-2 (aOR per log-unit increment:1.32 [CI 1.03-1.70]) and IL-10 (0.73 [0.57-0.93]) with global CRF and of C-reactive protein (1.42 [1.13-1.78]) with cognitive CRF at year-2. Emotional distress was consistently associated with physical, emotional, and cognitive CRF.

CONCLUSIONS

This study proposes a bio-behavioral framework linking pre-treatment systemic inflammation with CRF of clinical importance two years later among a large prospective sample of survivors of breast cancer.

Latent profile analysis for assessing symptom clusters in women with breast cancer

PURPOSE

To identify symptom clusters among breast cancer survivors and investigate differences in health-related quality of life (HRQoL) and distress based on these discerned symptom clusters using latent profile analysis.

METHODS

We enrolled 655 adult breast cancer survivors aged 19 years and older, registered with the Cancer Survivor Integrated Supportive Center from May 2020 to July 2022. The study measured five symptoms-pain, fatigue, insomnia, anxiety, and depression-using a Visual Analogue Scale ranging from 0 to 10 points. Distress was measured using the National Comprehensive Cancer Network Distress Thermometer, with scores ranging from 0 to 10 points. HRQoL was determined using the EuroQol-5 Dimension questionnaire. Data analysis was conducted using the Jamovi and Mplus 8.8 software programs.

RESULTS

The Cluster with Few Symptoms (46.8%) was the most common, whereas the Psychological Cluster with a very high degree of depression and anxiety accounted for 20.0%, and the Moderate symptom cluster with symptoms of 3 or more points accounted for 14.4%. Distress scores were relatively high in the Psychological Cluster and the Pain-Fatigue-Insomnia Cluster, and were lowest in the Cluster with Few Symptoms (F = 103.92, p < 0.001). HRQoL scores were highest in the Cluster with Few Symptoms and lowest in the Pain-Fatigue-Insomnia Cluster (F = 177.62, p < 0.001).

CONCLUSIONS

Approximately half of breast cancer survivors who had completed the major treatment experienced persistent high symptoms such as depression and anxiety or pain, fatigue, and insomnia.

IMPLICATIONS FOR CANCER SURVIVORS

These findings provide foundational data for developing tailored intervention strategies and programs based on symptom experiences.

Risk factors for self-reported high symptom cluster burdens in patients with breast cancer undergoing chemotherapy in China: A cross-sectional study

Background and Aims

Further exploration is needed to recognize symptom clusters and categorize subgroups with distinct cluster patterns and associated risks, focusing on symptoms that are highly self-reported by patients with breast cancer undergoing chemotherapy. This study aimed to identify subgroups and risk factors for self-reported high symptom cluster burden among patients with breast cancer undergoing chemotherapy.

Methods

A total of 647 participants who met the inclusion criteria were included in the study, with data collected on demographics, disease information, self-reported symptoms, and psychosocial factors. Latent class analysis was utilized to identify the subgroup, while logistic regression was used to pinpoint predictive risk factors.

Results

Latent class analysis revealed three subgroups: the "high burden of all symptoms group" (n = 107, 16.54%), the "high burden of psychological symptoms group" (n = 103, 15.92%), and the "low burden of all symptoms group" (n = 437, 67.54%). Patients in the high burden of all symptom group and high burden of psychological symptom group exhibited significantly worse function outcomes (p < 0.001). Predictive risk factors for the "high burden of all symptom group" included older age, lower self-efficacy, worse body image, and a higher financial burden. Similarly, patients with high burden of psychological symptom were more likely to have low self-efficacy, poor body image, and a high financial burden.

Conclusion

The study demonstrated the importance of giving more attention to patients with breast cancer who are at risk of developing into membership of high symptom cluster burden group.

Symptom cluster study undergoing chemotherapy in breast cancer patients: Latent class analysis and contemporaneous network analysis

Objective

This study aims to explore the subgroups and networks of symptom clusters in breast cancer patients undergoing chemotherapy, and to provide effective interventions for the core symptoms.

Methods

A cross-sectional survey was conducted at four comprehensive hospitals in Foshan City, China, from August to November 2023. A total of 292 participants completed the social determinants of health questionnaire, the numerical rating scale (NRS), the Pittsburgh sleep quality index (PSQI), the Chinese version of the cancer fatigue scale (CFS), and the hospital anxiety and depression Scale (HADS). Latent class analysis (LCA) was utilized to distinguish subgroups, and network analysis was utilized to identify core symptoms among different subgroups.

Results

Breast cancer patients undergoing chemotherapy exhibit symptoms were divided into two subgroups: the high burden group of symptoms (72.3%, Class 1) and the low burden group of symptoms (27.7%, Class 2). Education attainment, work status, family monthly income per capita, and daily sleep duration (hours) were associated with subgroup membership. "Panic feelings" (# HADS-A11) were the core symptom in both the full sample and Class 2, while "tension or pain" (# HADS-A1) was the core symptom in Class 1.

Conclusions

The core symptoms of fear, enjoyment, nervousness, and pain varied across subgroups of patients and could inform the current strategies for symptom management in breast cancer chemotherapy patients.

Symptoms, Lifetime Duration of Estrogen Exposure, and Ovarian Reserve Among Women Living With HIV: A Cross-Sectional Observational Study

ABSTRACT

This cross-sectional observational study examined associations among symptom burden, lifetime duration of estrogen exposure, and serum antimüllerian hormone (AMH) levels among women living with HIV (n = 98) using bivariate bias-corrected Pearson correlations and multiple correspondence analyses. The mostly Black (85.6%) sample of women, with a mean age of 50 years (SD 12.6 years), exhibited no significant reproductive history factors and symptom burden interrelationships or significant associations between lifetime duration of estrogen exposure and symptoms. Predictably, serum AMH levels were lower among older women; however, less predictable were its significant relationships with months living with HIV (r = -0.362), months on ART (r = -0.270), and CD4+ T-cell nadir (r = 0.347). Symptom-symptom relationships support a fatigue, pain, sleep, anxiety, and depression symptom cluster. The hypotheses were not supported by cross-sectional observation. Further studies should explore variation in relationships between HIV, estrogen exposure, ovarian reserve, and AMH levels over time.

Comparing symptom clusters in cancer survivors by cancer diagnosis: A latent class profile analysis

PURPOSE

Research on symptom clusters in oncology is progressing, but knowledge gaps remain. One question is whether the number and types of symptom subgroups (i.e., latent classes) differ based on cancer diagnosis. The purpose of this study was to: (1) identify and compare latent class subgroups based on four highly prevalent symptoms (pain, fatigue, sleep disturbance, and depression), and (2) examine the differences in sociodemographic and clinical factors in the identified latent classes across the seven cancer types (i.e., prostate, non-small cell lung, non-Hodgkin's lymphoma, breast, uterine, cervical, and colorectal cancer).

METHODS

This study is a cross-sectional secondary analysis of data obtained from the My-Health study in partnership with four Surveillance, Epidemiology, and End Results (SEER) cancer registries located in California (two), Louisiana, and New Jersey. The sample included 4,762 cancer survivors 6-13 months following diagnosis of one of the seven cancer types mentioned. Latent class profile analysis was used.

RESULTS

Subjects were primarily young (59% age 21-64 years), Caucasian (41%), married/cohabitating (58%) and unemployed (55%). The number and types of symptom subgroups varied across these seven cancer populations: four-subgroups were the common in prostate, lung, non-Hodgkin's lymphoma, and breast cancer survivors. Unmarried, low education, and unemployment status were associated with high risk of symptom burden across the cancer types.

CONCLUSION

Identifying symptom subgroups by cancer diagnosis has the potential to develop innovative and effective targeted interventions in cancer survivors. Further research is needed to establish extensive knowledge in symptom clustering between treatment regimens, and short-term and long-term cancer survivors.

Worse Depression Profiles Are Associated With Higher Symptom Burden and Poorer Quality of Life in Patients With Gynecologic Cancer

BACKGROUND

Depression is a pervasive symptom in patients with gynecological cancer undergoing chemotherapy.

OBJECTIVES

Purposes were to identify subgroups of patients with distinct depression profiles and evaluate for differences in demographic and clinical characteristics, severity of common symptoms, and quality of life (QOL) outcomes among these subgroups.

METHODS

Patients with gynecological cancer (n = 231) completed the Center for Epidemiologic Studies-Depression Scale 6 times over 2 cycles of chemotherapy. All of the other measures were completed prior to the second or third cycle of chemotherapy. Latent profile analysis was done to identify the distinct depression profiles. Differences were evaluated using parametric and nonparametric tests.

RESULTS

Three distinct profiles were identified: low (60.1%), high (35.1%), and very high (4.8%). Compared with low class, the other 2 classes had lower functional status and were more likely to self-report a diagnosis of depression. Patients in the 2 worse profiles reported a higher comorbidity burden, higher levels of trait and state anxiety, sleep disturbance, and fatigue, as well as lower levels of cognitive function and poorer QOL. State and trait anxiety, evening fatigue, and sleep disturbance scores exhibit a "dose-response effect" (ie, as the depression profile worsened, the severity of these symptoms increased).

CONCLUSIONS

Almost 40% of our sample experienced high or very high levels of depression across 2 cycles of chemotherapy.

IMPLICATIONS FOR PRACTICE

Clinicians can use the identified risk factors to identify high patients risk and provide tailored psychological interventions aimed to decrease symptom burden and prevent decrements in QOL.

Differential Characteristics of Fatigue-Pain-Sleep Disturbance-Depression Symptom Cluster and Influencing Factors of Patients With Advanced Cancer During Treatment: A Latent Class Analysis

BACKGROUND

Patients with advanced cancer may experience symptom clusters during treatment (eg, fatigue, pain, sleep disturbance, depression). Understanding the characteristics and factors associated with symptom cluster classes among this patient population is essential for effective symptom management.

OBJECTIVE

The aims of this study were to identify symptom cluster (fatigue-pain-sleep disturbance-depression) classes and explore influencing factors in patients with advanced cancer during the treatment.

METHODS

A cross-sectional survey was conducted in an oncology department of a tertiary hospital in China from September 2020 to March 2021. Cancer patients (stage III/IV) 18 years or older completed the questionnaires on pain, fatigue, sleep disturbance, depression, physical activity, and exercise self-efficacy. Latent class analysis and multinomial logistic regression were used.

RESULTS

Three hundred sixty-five patients who were male (65.2%) and younger than 60 years (59.5%) completed questionnaires. Three symptom cluster classes were identified: class 1 ("low symptom burden" class), class 2 ("fatigue-insomnia" class), and class 3 ("high symptom burden" class), with a percentage of 54.5%, 38.6%, and 6.8%, respectively. The quality-of-life score, introversion/extroversion, economic burden, Karnofsky Performance Status, albumin level, and exercise self-efficacy were significantly different among the 3 classes (P < .05).

CONCLUSION

Patients with advanced cancer were classified into 3 distinct classes, with class 1 having the best function. Results from this study reveal that Karnofsky Performance Status, albumin level, and exercise self-efficacy were significant factors for the latent classes of symptom cluster.

IMPLICATIONS FOR PRACTICE

Exercise self-efficacy is important for personalized interventions and improving symptom management efficiency.

Symptom clusters in breast cancer survivors with and without type 2 diabetes over the cancer trajectory

Objective

This study aimed to investigate symptoms and symptom clusters in breast cancer survivors (BCS) with and without type 2 diabetes across three crucial periods during the cancer trajectory (0-6 months, 12-18 months, and 24-30 months) post-initial chemotherapy.

Methods

Eight common symptoms in both BCS and individuals with diabetes were identified through natural language processing of electronic health records from January 2007 to December 2018. Exploratory factor analysis was employed to discern symptom clusters, evaluating their stability, consistency, and clinical relevance.

Results

Among the 4601 BCS in the study, 20% (n = 905) had a diabetes diagnosis. Gastrointestinal symptoms and fatigue were prevalent in both groups. While BCS in both groups exhibited an equal number of clusters, the composition of these clusters differed. Symptom clusters varied over time between BCS with and without diabetes. BCS with diabetes demonstrated less stability (repeated clusters) and consistency (same individual symptoms comprising clusters) than their counterparts without diabetes. This suggests that BCS with diabetes may experience distinct symptom clusters at pivotal points in the cancer treatment trajectory.

Conclusions

Healthcare providers must be attentive to BCS with diabetes throughout the cancer trajectory, considering intensified and/or unique profiles of symptoms and symptom clusters. Interdisciplinary cancer survivorship models are essential for effective diabetes management in BCS. Implementing a comprehensive diabetes management program throughout the cancer trajectory could alleviate symptoms and symptom clusters, ultimately enhancing health outcomes and potentially reducing healthcare resource utilization.

Effects of Walking Combined With Resistance Band Exercises on Alleviating Cancer-Related Fatigue: A Systematic Review and Meta-analysis of Randomized Controlled Trials

BACKGROUND

Cancer-related fatigue (CRF) is a common symptom, and exercise has shown potential in alleviating CRF. However, there is a need for diverse exercise options tailored to individual patient needs.

OBJECTIVE

To evaluate the overall effects of a combined walking and resistance band exercise intervention in relieving CRF among cancer patients through randomized controlled trials.

METHODS

Comprehensive searches were conducted in multiple databases to identify relevant studies up until March 2023. Inclusion criteria required the intervention to involve walking combined with elastic band training, with a clear exercise protocol description. The primary outcome was CRF, and secondary outcomes included walking steps, distance, mood distress, and quality of life. Standardized mean differences (SMDs) with 95% confidence intervals (CIs) were calculated using random-effects models.

RESULTS

Ten trials were included. The intervention group showed significant improvements in CRF (SMD, -0.40; 95% CI, -0.60 to -0.20), mood distress (SMD, -0.30; 95% CI, -0.53 to -0.07), and daily walking steps (SMD, 0.52; 95% CI, 0.07-0.96) compared with the control group. Although the 6-Minute Walk Test and quality of life did not show significant differences, a trend toward improvement was observed in the intervention group. Adverse events related to the intervention were infrequent.

CONCLUSION

A combined walking and resistance band exercise intervention can effectively alleviate CRF and improve mood distress and daily walking steps among cancer patients.

IMPLICATIONS FOR PRACTICE

This exercise option may provide an additional strategy to manage CRF. Further research is needed to explore the optimal exercise prescription for individual patients.

The role of cytokines and Indolamine-2.3 dioxygenase in experiencing a psycho-neurological symptom cluster in hematological cancer patients: IL-1alpha, IL-1beta, IL-4, IL-6, TNF-alpha, kynurenine, and tryptophan

OBJECTIVE

This study examined (a) whether there are a subgroup of cancer patients experiencing the selected psycho-neurological symptoms as a cluster (depression, cognitive impairment, fatigue, sleep disturbance, and pain); (b) whether demographic and clinical characteristics and pro-inflammatory cytokines (IL-1α, IL-1β, IL-4, IL-6, TNF-alpha) are associated with subgroup membership; and (c) whether the activity of indolamine-2.3 dioxygenase(IDO) is associated with pro-inflammatory cytokine activity and psycho-neurological symptom cluster experience.

METHODS

This was a prospective cohort study where 149 hematologic patients were recruited from a university hospital and 65 healthy volunteers provided control data. Latent profile analyses were conducted to identify subgroups at two time points: the last day of chemotherapy and 1 week after chemotherapy completion. Influencing factors of subgroup membership were examined by logistic regression.

RESULTS

A substantial number of patients (33%, 34% at each time point) experienced the selected psycho-neurological symptoms as a cluster. Older age and elevated IL-1α and IL-6 were associated with experiencing the psycho-neurological symptom cluster. IDO activity was higher in the patients experiencing psycho-neurological symptom cluster; and was positively associated with IL-6. Symptom severity, IL-1α, IL-6, and IDO activity were all significantly higher in cancer patients than in the healthy controls. The findings were preserved across time points.

CONCLUSIONS

The activation of pro-inflammatory cytokines and their cross-talk with IDO may be a common biological mechanism, underlying a psycho-neurological symptom cluster experience. The novel approaches for symptom assessment and management can be developed by assessing multiple psycho-neurological symptoms as a cluster and by targeting their common biological pathway.

Identification of distinct symptom profiles in patients with gynecologic cancers using a pre-specified symptom cluster

PURPOSE

Pain, fatigue, sleep disturbance, and depression are four of the most common symptoms in patients with gynecologic cancer. The purposes were to identify subgroups of patients with distinct co-occurring pain, fatigue, sleep disturbance, and depression profiles (i.e., pre-specified symptom cluster) in a sample of patients with gynecologic cancer receiving chemotherapy and assess for differences in demographic and clinical characteristics, as well as the severity of other common symptoms and QOL outcomes among these subgroups.

METHODS

Patients completed symptom questionnaires prior to their second or third cycle of chemotherapy. Latent profile analysis was used to identify subgroups of patients using the pre-specified symptom cluster. Parametric and nonparametric tests were used to evaluate for differences between the subgroups.

RESULTS

In the sample of 233 patients, two distinct latent classes were identified (i.e., low (64.8%) and high (35.2%)) indicating lower and higher levels of symptom burden. Patients in high class were younger, had child care responsibilities, were unemployed, and had a lower annual income. In addition, these women had a higher body mass index, a higher comorbidity burden, and a lower functional status. Patients in the high class reported higher levels of anxiety, as well as lower levels of energy and cognitive function and poorer quality of life scores.

CONCLUSIONS

This study identified a number of modifiable and non-modifiable risk factors associated with membership in the high class. Clinicians can use this information to refer patients to dieticians and physical therapists for tailored interventions.

Association of Single Nucleotide Polymorphisms of Cytokine Genes with Depression, Schizophrenia and Bipolar Disorder

Immune gene variants are known to be associated with the risk of psychiatric disorders, their clinical manifestations, and their response to therapy. This narrative review summarizes the current literature over the past decade on the association of polymorphic variants of cytokine genes with risk, severity, and response to treatment for severe mental disorders such as bipolar disorder, depression, and schizophrenia. A search of literature in databases was carried out using keywords related to depressive disorder, bipolar disorder, schizophrenia, inflammation, and cytokines. Gene lists were extracted from publications to identify common genes and pathways for these mental disorders. Associations between polymorphic variants of the IL1B, IL6, and TNFA genes were the most replicated and relevant in depression. Polymorphic variants of the IL1B, IL6, IL6R, IL10, IL17A, and TNFA genes have been associated with schizophrenia. Bipolar disorder has mainly been associated with polymorphic variants of the IL1B gene. Interestingly, the IL6R gene polymorphism (rs2228145) was associated with all three diseases. Some cytokine genes have also been associated with clinical presentation and response to pharmacotherapy. There is also evidence that some specific polymorphic variants may affect the expression of cytokine genes. Thus, the data from this review indicate a link between neuroinflammation and severe mental disorders.

The long-term burden of a symptom cluster and association with longitudinal physical and emotional functioning in breast cancer survivors

BACKGROUND

Fatigue, insomnia and pain are some of the most common and distressing symptoms experienced during breast cancer (BC) treatment and survivorship. The symptoms have been found to impact one another and to form a symptom cluster, and greater severity of the symptoms may be negatively associated with physical and emotional functioning in survivorship. In exploratory analyses from a randomized controlled trial examining the effect of progressive resistance training on the development of lymphedema after BC, we aimed to examine the burden of the symptom cluster fatigue-pain-insomnia, and its prognostic value for long-term symptom severity as well as emotional and physical functioning.

MATERIAL AND METHODS

Latent profile analysis was used to identify groups with similar severity of pain, fatigue and insomnia among 158 patients with BC two weeks after surgery. Mixed effects Tobit regression models were used to estimate fatigue, pain, insomnia, and physical and emotional functioning 20 weeks, 1 year and 3.5 years after surgery.

RESULTS

Two symptom burden groups were identified: 80% of women had a low severity while 20% of women had a high severity of the three symptoms after BC surgery. 3.5 years later, the women with high symptom burden post-surgery still had higher pain, insomnia and fatigue scores than women with low symptom burden. High symptom burden post-surgery was associated with worse physical functioning 3.5 years later, while emotional functioning was only negatively impacted during the first year.

DISCUSSION

These findings warrant larger studies investigating if symptom burden early in BC trajectory can be used for risk stratification for persistent symptoms and diminished physical functioning with the purpose of developing and implementing targeted interventions.

Patients with palpitations experience a higher symptom burden prior to breast cancer surgery

PURPOSE

Anxiety, depression, sleep disturbance, fatigue, cognitive dysfunction, and pain are common symptoms reported by patients with breast cancer. Recent evidence suggests that palpitations, a feeling of the heart racing or pounding, may be equally common. Study purpose was to compare the severity and clinically meaningful occurrence rates of common symptoms and quality of life (QOL) outcomes between patients with breast cancer who did and did not report palpitations prior to surgery.

METHODS

Patients (n = 398) were classified as having or not having palpitations using a single item from the Menopausal Symptoms Scale. Valid and reliable measures were used to assess state and trait anxiety, depression, sleep disturbance, fatigue, energy, cognitive function, breast symptoms, and QOL. Between group differences were evaluated using parametric and non-parametric tests.

RESULTS

Patients with palpitations (15.1%) reported significantly higher severity scores for state and trait anxiety, depression, sleep disturbance, and fatigue as well as significant decrements in energy and cognitive function (all p < .05). A higher percentage of these patients had clinically meaningful levels of state anxiety, depression, sleep disturbance and decrements in cognitive function (all p < .05). Except for spiritual well-being, QOL scores were lower in the palpitations group (all p < .001).

CONCLUSION

Findings support the need for routine assessment of palpitations and management of multiple symptoms in women prior to breast cancer surgery.

Bioinformatics and network biology approach to identifying type 2 diabetes genes and pathways that influence the progression of breast cancer

Breast cancer is the second most prevalent malignancy affecting women. Postmenopausal women breast tumor is one of the top causes of death in women, accounting for 23% of cancer cases. Type 2 diabetes, a worldwide pandemic, has been connected to a heightened risk of several malignancies, although its association with breast cancer is still uncertain. In comparison to non-diabetic women, women with T2DM had a 23% elevated likelihood of developing breast cancer. It is difficult to determine causative or genetic susceptibility that connect T2DM and breast cancer. We created a large-scale network-based quantitative approach employing unbiased methods to discover abnormally amplified genes in both T2DM and breast cancer, to solve these issues. We performed transcriptome analysis to uncover identical genetic biomarkers and pathways to clarify the connection between T2DM and breast cancer patients. In this study, two RNA-seq datasets (GSE103001 and GSE86468) from the Gene Expression Omnibus (GEO) are used to identify mutually differentially expressed genes (DEGs) for breast cancer and T2DM, as well as common pathways and prospective medicines. Firstly, 45 shared genes (30 upregulated and 15 downregulated) between T2D and breast cancer were detected. We employed gene ontology and pathway enrichment to characterize prevalent DEGs' molecular processes and signal transduction pathways and observed that T2DM has certain connections to the progression of breast cancer. Using several computational and statistical approaches, we created a protein-protein interactions (PPI) network and revealed hub genes. These hub genes can be potential biomarkers, which may also lead to new therapeutic strategies for investigated diseases. We conducted TF-gene interactions, gene-microRNA interactions, protein-drug interactions, and gene-disease associations to find potential connections between T2DM and breast cancer pathologies. We assume that the potential drugs that emerged from this study could be useful therapeutic values. Researchers, doctors, biotechnologists, and many others may benefit from this research.

Distinct Worst Pain Profiles in Oncology Outpatients Undergoing Chemotherapy

BACKGROUND

While pain is a significant problem for oncology patients, little is known about interindividual variability in pain characteristics.

OBJECTIVE

The aims of this study were to identify subgroups of patients with distinct worst pain severity profiles and evaluate for differences among these subgroups in demographic, clinical, and pain characteristics and stress and symptom scores.

METHODS

Patients (n = 934) completed questionnaires 6 times over 2 chemotherapy cycles. Worst pain intensity was assessed using a 0- to 10-point numeric rating scale. Brief Pain Inventory was used to assess various pain characteristics. Latent profile analysis was used to identify subgroups of patients with distinct pain profiles.

RESULTS

Three worst pain profiles were identified (low [17.5%], moderate [39.9%], severe [42.6%]). Compared with the other 2 classes, severe class was more likely to be single and unemployed and had a lower annual household income, a higher body mass index, a higher level of comorbidity, and a poorer functional status. Severe class was more likely to have both cancer and noncancer pain, a higher number of pain locations, higher frequency and duration of pain, worse pain quality scores, and higher pain interference scores. Compared with the other 2 classes, severe class reported lower satisfaction with pain management and higher global, disease-specific, and cumulative life stress, as well as higher anxiety, depression, fatigue, sleep disturbance, and cognitive dysfunction scores.

CONCLUSIONS

Unrelieved pain is a significant problem for more than 80% of outpatients.

IMPLICATIONS FOR PRACTICE

Clinicians need to perform comprehensive pain assessments; prescribe pharmacologic and nonpharmacologic interventions; and initiate referrals for pain management and psychological services.

A Pilot Study of Associations Between the Occurrence of Palpitations and Cytokine Gene Variations in Women Prior to Breast Cancer Surgery

OBJECTIVES

Palpitations are common and have a negative impact on women's quality of life. While evidence suggests that inflammatory mechanisms may play a role in the development of palpitations, no studies have evaluated for this association in patients with breast cancer who report palpitations prior to surgery. The purpose of this pilot study was to evaluate for associations between the occurrence of palpitations and single nucleotide polymorphisms (SNPs) in genes for pro- and anti-inflammatory cytokines, their receptors, and transcriptional regulators.

METHODS

Patients were recruited prior to surgery and completed a self-report questionnaire on the occurrence of palpitations. Genotyping of SNPs in cytokine genes was performed using a custom array. Multiple logistic regression analyses were done to identify associations between the occurrence of palpitations and SNPs in fifteen candidate genes.

RESULTS

Of the 82 SNPs evaluated in the bivariate analyses, eleven SNPs in 6 genes were associated with the occurrence of palpitations. After controlling for functional status, the occurrence of back pain, and self-reported and genomic estimates of race/ethnicity, 3 SNPs in 3 different genes (i.e., interleukin (IL) 1-beta (IL1B) rs1143643, IL10 rs3024505, IL13 rs1295686) were associated with the occurrence of palpitations prior to surgery (all p ≤ .038).

CONCLUSIONS

While these preliminary findings warrant replication, they suggest that inflammatory mechanisms may contribute to the subjective sensation of palpitations in women prior to breast cancer surgery.

Feasibility of Acupuncture and Exploration of Metabolomic Alterations for Psychoneurological Symptoms Among Breast Cancer Survivors

OBJECTIVE

Approximately 24-68% of breast cancer survivors report co-occurring psychoneurological symptoms of pain, fatigue, sleep disturbance, depression, and anxiety during and after cancer treatment. This study aimed to assess the feasibility and acceptability of acupuncture for the treatment of multiple psychoneurological symptoms among breast cancer survivors and explore metabolomic changes before and after acupuncture.

METHODS

We conducted a single-arm, prospective pilot study of breast cancer survivors with at least two moderate to severe psychoneurological symptoms (>3 on a 0-10 scale). Acupuncture was administered twice weekly for 5 weeks, for 30 minutes per session. Along with Patient-Reported Outcomes Measurement Information System (PROMIS) questionnaires, a fasting serum comprehensive hydrophilic metabolites panel was analyzed at baseline and after acupuncture.

RESULTS

Eight participants (mean age 52.5 ± 10.9 years; 62.5% Black) were enrolled. Feasibility was supported, with 67% recruitment, 87.5% retention, and 98% acceptability. Post intervention, PROMIS T-scores were reduced for all psychoneurological symptoms. Significant differences in serum metabolites before and after acupuncture were F-1,6/2,6-DP, glutathione disulfide, phosphorylcholine, 6-methylnicotinamide, glutathione, and putrescine (variable importance of projection values larger than 1.5 and p values <0.05). Pathway analysis indicated that glutathione metabolism (p = 0.002, q = 0.071), and arginine and proline metabolisms (p = 0.009, q = 0.166) were potentially involved in mechanisms of acupuncture.

CONCLUSIONS

Acupuncture to reduce multiple psychoneurological symptoms among breast cancer survivors was feasible and acceptable. Study findings also shed light on the metabolic pathways involved in the acupuncture response and will be tested in future studies.

The high burden of symptoms associated with cognitive impairment in lung cancer patients: A latent class analysis

Objective

To explore the association between the pain-fatigue-sleep disturbance-depression symptom cluster (SC) and cancer-related cognitive impairment (CRCI) in patients having lung cancer and to identify other factors influencing CRCI.

Methods

A cross-sectional study was conducted to investigate 378 patients having lung cancer in China from October 2021 to July 2022. The perceived cognitive impairment scale and the general anxiety disorder-7 were used to assess patients' cognitive impairment and anxiety, respectively. The pain-fatigue-sleep disturbance-depression SC was assessed with the brief fatigue inventory, the brief pain inventory, the Patient Health Questionnaire-9, and the Athens Insomnia Scale. Latent class analysis by Mplus.7.4 was used to identify latent classes of the SC. We adjusted for covariates in the multivariable logistic regression model to examine the relationship between the pain-fatigue-sleep disturbance-depression SC and CRCI.

Results

Among patients having lung cancer, two SC classes were identified: high and low symptom burden groups. In the crude model, compared to the low symptom burden group, the high symptom group had greater odds of developing CRCI (odds ratio: 10.065, 95% confidence interval: 4.138-24.478). After adjusting for covariates, in model 1, the high symptom group still had greater odds of developing CRCI (odds ratio: 5.531, 95% confidence interval: 2.133-14.336). Additionally, a diagnosis of over 6 months, anxiety, leisure activity, and a high platelet-to-lymphocyte ratio were found to be influencing factors of CRCI (all P ​< ​0.05).

Conclusions

Our study revealed that a high symptom burden is a significant risk factor for CRCI, which may provide a new perspective for managing CRCI in lung patients having cancer.

Tryptophan and Kynurenine Pathway Metabolites and Psychoneurological Symptoms Among Breast Cancer Survivors

BACKGROUND

Among breast cancer survivors, pain, fatigue, depression, anxiety, and sleep disturbance are common psychoneurological symptoms that cluster together. Inflammation-induced activation of the tryptophan-kynurenine metabolomic pathway may play an important role in these symptoms.

AIMS

This study investigated the relationship between the metabolites involved in the tryptophan-kynurenine pathway and psychoneurological symptoms among breast cancer survivors.

DESIGN

Cross-sectional study.

SETTING

Participants were recruited at the oncology clinic at the University of Illinois Hospital & Health Sciences System.

PARTICIPANTS/SUBJECTS

79 breast cancer survivors after major cancer treatment.

METHODS

We assessed psychoneurological symptoms with the PROMIS-29 and collected metabolites from fasting blood among breast cancer survivors after major cancer treatment, then analyzed four major metabolites involved in the tryptophankynurenine pathway (tryptophan, kynurenine, kynurenic acid, and quinolinic acid). Latent profile analysis identified subgroups based on the five psychoneurological symptoms. Mann-Whitney U tests and multivariable logistic regression compared targeted metabolites between subgroups.

RESULTS

We identified two distinct symptom subgroups (low, 81%; high, 19%). Compared with participants in the low symptom subgroup, patients in the high symptom subgroup had higher BMI (p = .024) and were currently using antidepressants (p = .008). Using multivariable analysis, lower tryptophan levels (p = .019) and higher kynurenine/tryptophan ratio (p = .028) were associated with increased risk of being in the high symptom subgroup after adjusting for BMI and antidepressant status.

CONCLUSION

The tryptophan-kynurenine pathway and impaired tryptophan availability may contribute to the development of psychoneurological symptoms.

Polymorphisms in COMT and OPRM1 Collectively Contribute to Chronic Shoulder Pain and Disability in South African Breast Cancer Survivors'

Chronic shoulder pain and disability is a common adverse effect experienced by >40% of breast cancer survivors (BCS). Pain management protocols for acute and chronic pain include the use of opioids and opioid derivatives. Furthermore, pain-modulating genes, such as COMT and OPRM1, have been linked to the aetiology of chronic pain. This study aimed to investigate the association between genetic variants of major pain modulator genes and chronic pain/disability in BCS. Assessment of pain, disability and combined (pain and disability) symptoms were determined using the Shoulder Pain and Disability Index (SPADI). Participants were grouped according to their scores such as no-low (<30%) and moderate-high (≥30%) groups of pain, disability and combined (pain and disability). Genotyping of the COMT rs6269 (A > G), rs4633 (C > T), rs4818 (C > G) and the functional rs4680(G > A) SNPs within the BCS (N = 252) cohort were conducted using TaqMan^® SNP assays. Genotype, allele, haplotype, and allele-allele combination frequencies were evaluated. Statistical analysis was applied, with significance accepted at p < 0.05. The COMT rs4680:A/A genotype was significantly associated with moderate-high pain (p = 0.024, OR: 3.23, 95% CI: 1.33-7.81) and combined (pain and disability) (p = 0.015, OR: 3.81, 95% CI: 1.47-9.85). The rs4680:A allele was also significantly associated with moderate-high pain (p = 0.035, OR: 1.58, 95% CI: 1.03-2.43) and combined (pain and disability) (p = 0.017, OR: 1.71, 95% CI: 1.07-2.71). For the inferred COMT (rs6269 A > G-rs4680 G > A) haplotype analyses, the G-G (p = 0.026, OR: 0.67, 95% CI: 0.38-1.18) and A-A (p = 0.007, OR: 2.09, 95% CI: 0.89-4.88) haplotypes were significantly associated with reduced and increased likelihoods of reporting moderate-high pain, respectively. The inferred A-A (p = 0.003, OR: 2.18, 95% CI: 0.92-5.17) haplotype was also significantly associated with combined (pain and disability). Gene-gene interaction analyses further showed allele-allele combinations for COMT (rs4680 G > A)-OPRM1 (rs1799971 A > G) and COMT (rs4680 G > A)-OPRM1(rs540825 T > A) were associated with reporting pain and combined (pain and disability) symptoms, p < 0.05. The findings of this study suggest that COMT and OPRM1 SNPs play a role in the development of chronic shoulder pain/disability in BCS in a unique South African cohort from the Western Cape.

Circadian disruption and cancer- and treatment-related symptoms

Cancer patients experience a number of co-occurring side- and late-effects due to cancer and its treatment including fatigue, sleep difficulties, depressive symptoms, and cognitive impairment. These symptoms can impair quality of life and may persist long after treatment completion. Furthermore, they may exacerbate each other's intensity and development over time. The co-occurrence and interdependent nature of these symptoms suggests a possible shared underlying mechanism. Thus far, hypothesized mechanisms that have been purported to underlie these symptoms include disruptions to the immune and endocrine systems. Recently circadian rhythm disruption has emerged as a related pathophysiological mechanism underlying cancer- and cancer-treatment related symptoms. Circadian rhythms are endogenous biobehavioral cycles lasting approximately 24 hours in humans and generated by the circadian master clock - the hypothalamic suprachiasmatic nucleus. The suprachiasmatic nucleus orchestrates rhythmicity in a wide range of bodily functions including hormone levels, body temperature, immune response, and rest-activity behaviors. In this review, we describe four common approaches to the measurement of circadian rhythms, highlight key research findings on the presence of circadian disruption in cancer patients, and provide a review of the literature on associations between circadian rhythm disruption and cancer- and treatment-related symptoms. Implications for future research and interventions will be discussed.

Trajectories of symptom severity predicts quality of life change in newly diagnosis lymphoma survivors: An initial study

OBJECTIVE

This study aimed to explore the subgroups of symptom severity and impact of their trajectories on quality of life in lymphoma survivors.

METHODS

Secondary data were analysed from a prospective study with four-time measures: before treatment (T1), during treatment (T2), treatment completion (T3) and 10 weeks after treatment (T4). Data were analysed using descriptive statistics, group-based trajectory model and generalised estimation equation.

RESULTS

Fifty nine of 61 participants completed three-time measure (mean age = 60.43 years, male-predominant). The changes in symptom severity over time were divided into two subgroups: slight-stable group (n = 54, 89%) and mild-fickle group (n = 7, 11%). Pain, tiredness and sleeping trouble were the predominant symptoms. The quality of life change in the slight-stable group was significantly better than that of the mild-fickle group (B = 13.35, SE = 3.53, p < 0.001). The overall quality of life at T2, T3 and T4 was better than it was at T1.

CONCLUSION

The different trajectories of symptom severity significantly influenced quality of life changes in lymphoma survivors. Healthcare providers must be aware that there is a group of lymphoma survivors with relatively severe symptoms when newly diagnosed, compared to the opposite. More attention must be paid to this group, in addition to providing in-time symptom management.

Translational Genomic Research: The Association between Genetic Profiles and Cognitive Functioning or Cardiac Function Among Breast Cancer Survivors Completing Chemotherapy

Introduction: Emerging evidence suggests that Chemotherapy (CT) treated breast cancer survivors (BCS) who have "risk variants" in genes may be more susceptible to cognitive impairment (CI) and/or poor cardiac phenotypes. The objective of this preliminary study was to examine whether there is a relationship between genetic variants and objective/subjective cognitive or cardiac phenotypes. Methods and Analysis: BCS were recruited from Moffitt Cancer Center, Morsani College of Medicine, AdventHealth Tampa and Sarasota Memorial Hospital. Genomic DNA were collected at baseline for genotyping analysis. A total of 16 single nucleotide polymorphisms (SNPs) from 14 genes involved in cognitive or cardiac function were evaluated. Three genetic models (additive, dominant, and recessive) were used to test correlation coefficients between genetic variants and objective/subjective measures of cognitive functioning and cardiac outcomes (heart rate, diastolic blood pressure, systolic blood pressure, respiration rate, and oxygen saturation). Results: BCS (207 participants) with a mean age of 56 enrolled in this study. The majority were non-Hispanic white (73.7%), married (63.1%), and received both CT and radiation treatment (77.3%). Three SNPs in genes related to cognitive functioning (rs429358 in APOE, rs1800497 in ANKK1, rs10119 in TOMM40) emerged with the most consistent significant relationship with cognitive outcomes. Among five candidate SNPs related to cardiac functioning, rs8055236 in CDH13 and rs1801133 in MTHER emerged with potential significant relationships with cardiac phenotype. Conclusions: These preliminary results provide initial targets to further examine whether BCS with specific genetic profiles may preferentially benefit from interventions designed to improve cognitive and cardiac functioning following CT.

Characterizing Patterns of Nurses' Daily Sleep Health: a Latent Profile Analysis

BACKGROUND

Nursing is a demanding occupation characterized by dramatic sleep disruptions. Yet most studies on nurses' sleep treat sleep disturbances as a homogenous construct and do not use daily measures to address recall biases. Using person-centered analyses, we examined heterogeneity in nurses' daily sleep patterns in relation to psychological and physical health.

METHODS

Nurses (N = 392; 92% female, mean age = 39.54 years) completed 14 daily sleep diaries to assess sleep duration, efficiency, quality, and nightmare severity, as well as measures of psychological functioning and a blood draw to assess inflammatory markers interleukin-6 (IL-6) and C-reactive protein (CRP). Using recommended fit indices and a 3-step approach, latent profile analysis was used to identify the best-fitting class solution.

RESULTS

The best-fitting solution suggested three classes: (1) "Poor Overall Sleep" (11.2%), (2) "Nightmares Only" (8.4%), (3) "Good Overall Sleep" (80.4%). Compared to nurses in the Good Overall Sleep class, nurses in the Poor Overall Sleep or Nightmares Only classes were more likely to be shift workers and had greater stress, PTSD symptoms, depression, anxiety, and insomnia severity. In multivariate models, every one-unit increase in insomnia severity and IL-6 was associated with a 33% and a 21% increase in the odds of being in the Poor Overall Sleep compared to the Good Overall Sleep class, respectively.

CONCLUSION

Nurses with more severe and diverse sleep disturbances experience worse health and may be in greatest need of sleep-related and other clinical interventions.

Advances in Conceptual and Methodological Issues in Symptom Cluster Research: A 20-Year Perspective

Two conceptual approaches are used to evaluate symptom clusters: "clustering" symptoms (ie, variable-centered analytic approach) and "clustering" patients (ie, person-centered analytic approach). However, these methods are not used consistently and conceptual clarity is needed. Given the emergence of novel methods to evaluate symptom clusters, a review of the conceptual basis for older and newer analytic methods is warranted. Therefore, this article will review the conceptual basis for symptom cluster research; compare and contrast the conceptual basis for using variable-centered versus patient-centered analytic approaches in symptom cluster research; review their strengths and weaknesses; and compare their applications in symptom cluster research.

Identification of Distinct Symptom Profiles in Cancer Patients Using a Pre-Specified Symptom Cluster

CONTEXT

Pain, fatigue, sleep disturbance, and depression often co-occur in oncology patients and negatively impact quality of life (QOL).

OBJECTIVES

Study purposes were to identify subgroups of patients with distinct symptom profiles based on their experiences with a pre-specified symptom cluster (i.e., pain, fatigue, depression, sleep disturbance) and to identify demographic, clinical, and symptom characteristics and QOL outcomes associated with each distinct profile.

METHODS

Patients with breast, lung, gastrointestinal, and gynecologic cancers (n = 1340) were recruited from outpatient clinics during their first or second cycle of chemotherapy. They completed valid and reliable measures of pain, fatigue, sleep disturbance. depression, and QOL prior to their next dose of chemotherapy. Latent class profile analysis was used to identify the patient subgroups. Differences among the profiles were evaluated using parametric and non-parametric tests.

RESULTS

Three distinct profiles were identified (i.e., Low (44.0%), Moderate (45.1%), High (10.8%). Compared to Low class, Moderate and High classes were younger and more likely to be female. Compared to the other two classes, High class was less likely to be married/partnered and employed, more likely to have a lower income and childcare responsibilities, had lower functional status, a higher body mass index, and exercised less. For both QOL scales, differences in subscale and total scores followed the same pattern (Low>Moderate>High).

CONCLUSIONS

Over 55% of patients undergoing chemotherapy had a moderate to high symptom burden associated with these four common co-occurring symptoms. Multimodal interventions are needed to decrease symptom burden and improve QOL outcomes in these patients.

ABCB1 and OPRM1 single-nucleotide polymorphisms collectively modulate chronic shoulder pain and dysfunction in South African breast cancer survivors

Background: Chronic shoulder pain/disability is a well-recognized side effect of treatment for breast cancer, with ∼40% of patients experiencing this, despite receiving pain management. To manage acute and chronic pain, several opioids are commonly prescribed. Pharmacogenomics have implicated genes within the opioid signaling pathway, including ABCB1 and OPRM1, to contribute to an individual's variable response to opioids. Aim: To evaluate ABCB1 (rs1045642 G>A, rs1128503 G>A) and OPRM1 (rs1799971 A>G, rs540825 T>A) single-nucleotide polymorphisms (SNPs) in chronic shoulder pain/disability in BCS. Materials & methods: TaqMan^TM assays were used to genotype ABCB1 and OPRM1 SNPs within the BCS (N = 252) cohort. The Shoulder Pain and Disability Index was used to evaluate pain and disability features associated with shoulder pathologies. Participants end scores for each feature (pain, disability and combined [pain and disability]) were categorized into no-low (>30%) and moderate-high (≥30%) scores. Statistical analysis was applied, and significance was accepted at p < 0.05. Results: Of participants, 27.0, 19.0 and 22.0% reported moderate-high pain, disability and combined (pain and disability) scores, respectively. ABCB1:rs1045642-(A/A) genotype was significantly associated with disability (p = 0.028: no-low [14.9%] vs mod-high [4.3%]) and combined (pain and disability) (p = 0.011: no-low [15.9%] vs mod-high [5.7%]). The ABCB1:rs1045642-(A) allele was significantly associated with disability (p = 0.015: no-low [37.9%] vs mod-high [23.9%]) and combined (pain and disability) (p = 0.003: no-low [38.5%] vs mod-high [23.6%]). The inferred ABCB1 (rs1045642 G>A - rs1128503 G>A): A-G (p = 0.029; odds ratio [OR]: 0.0; 95% CI: 0.0-0.0) and the OPRM1 (rs1799971 A>G - rs540825 T>A): G-T (p = 0.019; OR: 0.33; 95% CI: 0.14-0.75) haplotypes were associated with disability and pain, respectively. Gene-gene interactions showed the ABCB1 (rs1045642 G>A) - OPRM1 (rs540825 T>A) combinations, (A-T) (p = 0.019; OR: 0.62; 95% CI: 0.33-1.16) and (G-A) (p = 0.021; OR: 1.57; 95% CI: 0.30-3.10) were associated with disability. Conclusion: The study implicated ABCB1 with shoulder pain and disability; and haplotype analyses identified specific genetic intervals within ABCB1 and OPRM1 to associate with chronic shoulder pain and disability. Evidence suggests that potentially gene-gene interactions between ABCB1 and OPRM1 contribute to chronic shoulder pain and disability experienced in this SA cohort.

Sleep Deficiency: A Symptoms Perspective: Exemplars from Chronic Heart Failure, Inflammatory Bowel Disease, and Breast Cancer

Sleep deficiency is associated with disabling daytime symptoms, including excessive daytime sleepiness (EDS) and fatigue. The purpose of this article is to discuss the contributions of sleep deficiency and sleep disorders to fatigue and EDS among people with chronic conditions. We use exemplars from the literature on chronic heart failure, inflammatory bowel disease, and breast cancer to (1) describe the prevalence of fatigue and EDS and their consequences; (2) examine the evidence for the contributions of sleep deficiency and sleep disorders to these symptoms; and (3) recommend implications for future research and practice.

Higher stress and symptom severity are associated with worse depressive symptom profiles in patients receiving chemotherapy

PURPOSE

In a sample of oncology patients, identify subgroups of patients with distinct depressive symptom profiles and evaluate for differences in demographic and clinical characteristics, levels of stress and resilience, and the severity of common co-occurring symptoms.

METHODS

Patients (n = 1327) had a diagnosis of breast, gastrointestinal, gynecological, or lung cancer; had received chemotherapy within the preceding four weeks; and were scheduled to receive at least two additional cycles of chemotherapy. Demographic and clinical characteristics, stress, resilience, and co-occurring symptoms were evaluated at enrollment. Depressive symptoms were evaluated using the Center for Epidemiological Studies-Depression (CES-D) scale a total of six times over two cycles of chemotherapy. Latent profile analysis (LPA) was used to identify subgroups of patients (i.e., latent classes) with distinct depressive symptom profiles using the six CES-D scores.

RESULTS

Based on the findings from the LPA, 47.3% of the patients were classified as "None"; 33.6% as "Subsyndromal"; 13.8% as "Moderate"; and 5.3% as "High". Compared to None class, patients in the Subsyndromal, Moderate, and High classes had a lower functional status, a higher comorbidity burden, and a self-reported diagnosis of depression or back pain. Those patients with higher levels of depressive symptoms reported higher levels of stress, lower levels of resilience, and increased severity of co-occurring symptoms.

CONCLUSIONS

Inter-individual variability in depressive symptoms was associated with demographic and clinical characteristics, multiple types of stress and levels of resilience, as well as with the increased severity of multiple co-occurring symptoms. The risk factors associated with worse depressive symptom profiles can assist clinicians to identify high risk patients and initiate more timely supportive care interventions.

Differences in Circulating Extracellular Vesicle and Soluble Cytokines in Older Versus Younger Breast Cancer Patients With Distinct Symptom Profiles

Because extracellular vesicle (EV)-associated cytokines, both encapsulated and surface bound, have been associated with symptom severity, and may vary over the lifespan, they may be potential biomarkers to uncover underlying mechanisms of various conditions. This study evaluated the associations of soluble and EV-associated cytokine concentrations with distinct symptom profiles reported by 290 women with breast cancer prior to surgery. Patients were classified into older (≥60 years, n = 93) and younger (< 60 years, n = 197) cohorts within two previously identified distinct symptom severity profiles, that included pain, depressive symptoms, sleep disturbance, and fatigue (i.e., High Fatigue Low Pain and All Low). EVs were extracted using ExoQuick. Cytokine concentrations were determined using Luminex multiplex assay. Mann Whitney U test evaluated the differences in EV and soluble cytokine levels between symptom classes and between and within the older and younger cohorts adjusting for Karnofsky Performance Status (KPS) score, body mass index (BMI), and stage of disease. Partial correlation analyses were run between symptom severity scores and cytokine concentrations. Results of this study suggest that levels of cytokine concentrations differ between EV and soluble fractions. Several EV and soluble pro-inflammatory cytokines had positive associations with depressive symptoms and fatigue within both age cohorts and symptom profiles. In addition, in the older cohort with High Fatigue Low Pain symptom profile, EV GM-CSF concentrations were higher compared to the All Low symptom profile (p < 0.05). Albeit limited by a small sample size, these exploratory analyses provide new information on the association between cytokines and symptom profiles of older and younger cohorts. Of note, unique EV-associated cytokines were found in older patients and in specific symptom classes. These results suggest that EVs may be potential biomarker discovery tools. Understanding the mechanisms that underlie distinct symptom class profiles categorized by age may inform intervention trials and offer precision medicine approaches.

Effectiveness of Therapeutic Exercise and Patient Education on Cancer-Related Fatigue in Breast Cancer Survivors: A Randomised, Single-Blind, Controlled Trial with a 6-Month Follow-Up

This study aimed to determine the effectiveness of therapeutic exercise plus patient therapeutic education on perceived fatigue, functional capacity and pain in breast cancer survivors with cancer-related fatigue. A randomised, single-blind, clinical trial was conducted with a total of 80 breast cancer survivors who presented cancer-related fatigue. Women were randomised into a supervised therapeutic exercise group (STE-G) (n = 40) or an unsupervised exercise group (UE-G) (n = 40). Both interventions included patient therapeutic education and were delivered in three sessions per week over eight weeks. The main outcome was perceived fatigue as assessed by the Spanish version of the Functional Assessment of Chronic Illness Therapy-Fatigue subscale (FACIT-F). Other evaluated outcomes were pain measured on a visual analogue scale, and distance measured using the 6-Minute Walk Test. Data were collected at baseline, immediately post-intervention, and at three and six months after baseline. Significantly greater improvements across all variables were observed in the STE-G throughout the entire follow-up period with the exception of pain. Conclusions: A supervised therapeutic exercise program plus patient therapeutic education significantly reduce perceived fatigue and increase functional capacity in breast cancer survivors suffering from cancer-related fatigue compared to an unsupervised physical exercise program based on individual preferences with patient therapeutic education.

Self-reported late effect symptom clusters among young pediatric cancer survivors

PURPOSE

Most survivors of childhood cancer experience subsequent chronic conditions but little is known about concurrent symptoms. This study seeks to identify late effect symptom clusters among young pediatric cancer survivors.

METHODS

Survivors ≥ 18 or parents of survivors < 18 years enrolled in an institutional cohort study indicated (yes/no) if they experienced certain symptoms after treatment. The sample was randomly divided in half for exploratory factor analyses to identify symptom clusters followed by confirmatory factor analyses. Symptoms with ≥ 10% prevalence were included. Cluster structure generalizability across subgroups was examined using congruence coefficients.

RESULTS

The sample included 579 survivors (74% non-Hispanic white, 45% leukemia, 12.8 ± 4.5 years at survey, 5.9 ± 3.5 years since therapy). Respondents averaged three symptoms. Three clusters were identified: (1) gastrointestinal: abdominal pain, diarrhea, constipation, nausea, vomiting (Cronbach's α = 0.74); (2) psychological: depression, anxiety, memory problems, anger management problems, sleep problems (α = 0.71); and (3) neurologic: problems walking, numbness/tingling, fatigue, back pain, chronic pain, weakness/inability to move legs (α = 0.71). Confirmatory factor analysis confirmed the three-cluster structure (standardized root mean square residual: 0.09; parsimonious goodness of fit: 0.96; Bentler-Bonett normed fit index: 0.95). The gastrointestinal and psychological clusters were generalizable across most subgroups while the neurologic cluster varied across age and race/ethnicity subgroups.

CONCLUSION

Three distinct late effect symptom clusters were identified in young childhood cancer survivors with gastrointestinal and psychological clusters remaining relatively stable across subgroups. Future studies should focus on the characteristics of patients who experience these symptoms, especially those with high symptom burden, and the synergistic impact on quality of life.

Characteristics of Cancer Symptom Clusters Reported through a Patient-Centered Symptom Cluster Assessment

In the scope of symptom cluster research, few investigators have obtained patients' perceptions of their symptom clusters, even though this information is central to designing effective interventions. In this cross-sectional study, 38 adults with cancer completed measures of demographics, health outcomes (functional status, well-being, quality of life) and a symptom cluster assessment that captured symptom occurrence, severity, distress, clustering, a priority cluster, causal attributions, duration, directional relationships, and cluster interference with daily life. Participants described 72 distinct symptom clusters. Symptoms were most frequently attributed to the cancer diagnosis. Participants' priority symptom cluster typically included two symptoms of continuous duration and one intermittent symptom. Temporal order and direction of symptom relationships varied, with 75 different relationships described among symptom pairs. Greater symptom cluster burden and interference were related to poorer health outcomes. This patient-centered view of symptom clusters revealed substantial variability in symptom cluster characteristics with important implications for symptom management.

Self-efficacy for Coping with cancer: Psychometric properties of the Cancer Behavior Inventory version 3.0 - Korean

PURPOSE

To validate the Cancer Behavior Inventory version 3.0 - Korean (CBI 3.0 - K), a holistic measure of self-efficacy for coping with cancer by including spiritual coping subscale.

METHOD

Psychometric properties of the CBI 3.0 - K were evaluated among 453 cancer patients. Confirmatory factor analysis was conducted to examine structural validity. Internal consistency was measured with Cronbach's alpha. For convergent validity, correlations with the Functional Assessment of Cancer Therapy-Gastric Gastric Cancer Subscale (GaCS), the Hospital Anxiety and Depression Scale (HADS), the Multidimensional Scale of Perceived Social Support (MSPSS), the Functional Assessment of Chronic Illness Therapy-Spiritual Well-Being (FACT-Sp) subscale and the European Organization for Research and Treatment of Cancer quality of life questionnaire (EORTC QLQ-C30) Global Health Status/QoL subscale were analyzed.

RESULTS

The CBI 3.0 - K supported the original 7 factor structure of the CBI Version 3.0 with relocation of one item which reflected self-efficacy for coping utilizing personal resources. High levels of internal consistencies were demonstrated. Convergent validity was established with moderate to strong correlations with the GaCS, the HADS, the FACIT-Sp, and the EORTC QLQ-C30 subscales, and moderate correlation with the MSPSS. Known group validity with the Using Spiritual Coping subscale was demonstrated.

CONCLUSIONS

The CBI 3.0 - K will facilitate comprehensive assessment of patients' self-efficacy for coping by including spiritual coping subscale. Assessment on responsiveness of the CBI 3.0 - K to interventions designed to enhance coping is strongly recommended.

Stable Symptom Clusters and Evolving Symptom Networks in Relation to Chemotherapy Cycles

CONTEXT

The existence of stable symptom clusters with variations or changes in cluster membership and the merging of symptom clusters over time urge us to investigate how symptom relationships change over time.

OBJECTIVES

To identify stable symptom clusters and understand networks among symptoms using longitudinal data.

METHODS

Secondary data analysis was conducted using data from a nonblinded randomized clinical trial, which evaluated the effect and feasibility of the developed cancer symptom management system. For the present study, data from all participants of the original trial were analyzed (N = 249). The severity of 20 symptoms was measured before the start of chemotherapy (CTx) and during the initial four cycles of CTx. Symptom clusters were identified using principal component and hierarchical cluster analyses, and network analysis was used to explore the relationships among symptoms.

RESULTS

Three common symptom clusters were identified. The first cluster consisted of anxiety, depression, sleep disturbance, pain, and dyspnea. Fatigue, difficulty concentrating, and drowsiness formed a second stable cluster throughout the CTx cycles. The third cluster comprised loss of appetite, taste change, nausea, and vomiting. In terms of the symptom networks, close relationships were recognized, irrespective of symptom severity level, between anxiety and depression, fatigue and drowsiness, and loss of appetite and taste change. Fatigue was the most central symptom with the highest strength. Edge thickening after starting CTx demonstrated evolving symptom networks in relation to CTx cycles.

CONCLUSION

Stable symptom clusters and evolving networks were identified. The most central symptom was fatigue; however, the paucity of studies that investigated symptom networks and central symptoms calls for further investigations on these phenomena. Identification of central symptoms and underlying mechanisms will guide efficient symptom management. Future studies will need to focus on developing comprehensive interventions for managing symptom clusters or targeting central symptoms.

The next generation of collaborative care: The design of a novel web-based stepped collaborative care intervention delivered via telemedicine for people diagnosed with cancer

BACKGROUND

The NIH consensus statement on cancer-related symptoms concluded the most common and debilitating were depression, pain and fatigue [1-6]. Although the comorbidity of these symptoms is well known and may have similar underlying biological mechanisms no intervention has been developed to reduce these symptoms concurrently. The novel web-based stepped collaborative care intervention delivered by telemedicine is the first to be tested in people diagnosed with cancer.

METHODS

We plan to test a web-based stepped collaborative care intervention with 450 cancer patients and 200 caregivers in the context of a randomized controlled trial. The primary endpoint is quality of life with other primary outcomes including patient-reported depression, pain, fatigue. Secondary outcomes include patient serum levels of pro-inflammatory cytokines and disease progression. We also will assess informal caregiver stress, depression, and metabolic abnormalities to determine if improvements in patients' symptoms also relate to improvement in caregiver outcomes.

RESULTS

The trial is ongoing and a total of 382 patients have been randomized. Preliminary analyses of the screening tools used for study entry suggest that Center for Epidemiological Studies-Depression (CESD) scale has good sensitivity and specificity (0.81 and 0.813) whereas the scale used to assess pain (0.47 and 0.91) and fatigue (0.11 and 0.91) had poor sensitivity but excellent specificity. Using the AUROC, the best cut point for the CES-D was 19, for pain was 4.5; and for fatigue was 2.5. Outcomes not originally proposed included health care utilization and healthcare charges. The first 100 patients who have been followed a year post-treatment, and who were less than 75 years and randomized to the web-based stepped collaborative care intervention, had lower rates of complications after surgery [χ² = 5.45, p = 0.02]. For patients who survived 6 months or less and were randomized to the web-based stepped collaborative care intervention, had lower rates of 90-day readmissions when compared to patients randomized to the screening and referral arm [χ² = 4.0, p = 0.046]. Patients randomized to the collaborative care intervention arm had lower overall health care activity-based costs of $16,758 per patient per year when compared to the screening and referral arm.

DISCUSSION

This novel web-based stepped stepped collaborative care intervention, delivered via telemedicine, is expected to provide a new strategy to improve the quality of life in those diagnosed with cancer and their caregivers.

TRIAL REGISTRATION

ClinicalTrials.govNCT02939755.

Symptom Profiles of Latina Breast Cancer Survivors: A Latent Class Analysis

BACKGROUND

Symptom research among Latinas with breast cancer is limited-especially as it relates to multiple co-occurring symptoms.

OBJECTIVE

The aim of the study was to identify subgroups (latent classes) of Latinas who have distinct symptom profiles while receiving radiation, chemotherapy, and/or hormonal therapy for breast cancer.

METHODS

This secondary analysis included intake data from three randomized trials of supportive care psychosocial interventions for Latinas treated for breast cancer (n = 290). Prevalence of 12 symptoms-measured using the General Symptom Distress Scale-was entered into the latent class analysis to identify classes of women with different symptom profiles.

RESULTS

Most of the participants had Stage II or III disease, and 81% reported receiving chemotherapy. On average, women reported 4.2 (standard deviation [SD] = 3) symptoms with an overall symptom distress score of 6.4 (SD = 2.5) on a 1-10 scale, with 10 being most distressing. Latent class analysis resulted in three classes that were labeled based on symptoms with the highest prevalence. Class 1 (n = 192) was "Disrupted Sleep and Tired," Class 2 (n = 74) was "Tired," and Class 3 (n = 24) was "Pain, Disrupted Sleep, and Tired." Depression, anxiety, and difficulty concentrating had moderate prevalence in each of the three classes.

DISCUSSION

Beyond the core six symptoms (depression, anxiety, fatigue, pain, disrupted sleep, difficulty concentration), the classes differed in the prevalence of other burdensome symptoms (e.g., nausea, vomiting, constipation), which provide implications for treatment. Thus, it is important to assess for the full range of symptoms so that supportive care interventions can be tailored for the distinct symptom profiles of Latinas with breast cancer.

Distinct Subgroups of Patients With Lung Cancer Receiving Chemotherapy: A Latent Transition Analysis

Objectives

To identify subgroups of patients with lung cancer receiving chemotherapy based on the severity dimension of symptom experience, and to examine changes in membership between these subgroups over time.

Methods

Patients who were scheduled to receive chemotherapy completed the Chinese version of the MD Anderson Symptom Inventory and the revised lung cancer module with a total of 19 symptom items. Data were collected at three time points: two weeks before chemotherapy (T1), after chemotherapy cycle 1 (T2), and after chemotherapy cycle 3 or above (T3). The latent profile analysis and latent transition analysis were used to identify underlying subgroups and describe changes in subgroup membership over time.

Results

From the total sample (N = 195), 160 patients completed the symptom assessment at T1, T2, and T3. Two distinct latent symptom profiles of patients could be identified at T1, T2, and T3, which were classified as "Mild" and "Moderate-Severe" profiles. From T1 to T2 and T3, members in the Mild profile were more likely to move to the Moderate-Severe profile. Chemotherapy protocols, prior surgery treatment, and level of education can predict the transitions.

Conclusion

Results provide a better understanding of the patient's different symptom experiences and characteristics. These could help clinicians to anticipate symptom patterns and develop interventions in lung cancer patients who were scheduled to receive chemotherapy for the first time.

Genetic Variation Associated With Depressive Symptoms in Breast Cancer Patients: A Systematic Review

BACKGROUND

Depressive symptoms are highly prevalent in breast cancer patients. These symptoms can contribute to lower treatment adherence, increased healthcare charges, and higher mortality rates. Growing evidence suggests that genetic variations may be associated with depressive symptom susceptibility.

OBJECTIVE

To comprehensively review current findings on the association of genetic variations with depressive symptoms in breast cancer patients.

METHODS

A literature search was conducted using keywords such as gene variation, single-nucleotide polymorphism, depression/depressive symptoms, and breast cancer. Four hundred articles were retrieved from PubMed, Web of Science, CINAHL, and PsycINFO, yielding 9 full-text, data-based articles. The study quality was assessed using the STrengthening the REporting of Genetic Association studies guideline.

RESULTS

Genetic polymorphisms in brain-derived neurotrophic factor (BDNF), interferon γ receptor 1 (IFNGR1), interleukin-6 (IL-6), tumor necrosis factor α (TNFA), and IL-1B were found to be associated with depressive symptoms among breast cancer patients. The role of serotonin transporter gene linked promotor region (5-HTTLPR) functional polymorphisms on depressive symptoms was inconclusive. The overall quality of reporting results and methods was medium.

CONCLUSIONS

This is the first review of genetic variations related to differences in levels of depressive symptoms among breast cancer patients. Genetic polymorphisms in inflammatory, neuronal system, and signal transduction pathways can influence the susceptibility. However, more research regarding this topic is needed to further clarify genetic risk factors.

IMPLICATIONS FOR PRACTICE

Healthcare providers may determine patients at higher risk of developing depression and symptom outcomes if genetic biomarkers with good sensitivity/specificity are provided. This knowledge can potentially help the development of personalized treatment and decision making for those patients.

Systematic Review of the Kynurenine Pathway and Psychoneurological Symptoms Among Adult Cancer Survivors

The co-occurrence of multiple psychoneurological symptoms, including pain, sleep disturbance, fatigue, depression, anxiety, and cognitive disturbance among adult cancer survivors led us to question which common biological mechanisms are shared among these conditions. Variances in tryptophan (Trp) levels and downstream metabolites of the kynurenine (Kyn) metabolic pathway are known to affect immune response and psychoneurological symptoms. The objective of this systematic review was to help us (a) better understand the role of the Kyn pathway in psychoneurological symptoms among adult cancer survivors and (b) identify common significant biomarkers across psychoneurological symptoms as a guide for future research. Some evidence has shown that decreased Trp levels and increased Kyn, Trp/Kyn ratio, and kynurenic acid/Trp ratio in parallel with immune activation are correlated with some psychoneurological symptoms among people undergoing cancer treatment, although discrepancies exist between studies. Kyn pathway activation could also be associated with psychoneurological symptoms among adult cancer survivors, but further research is needed to confirm its exact etiological role with respect to psychoneurological symptoms.

Distinct diarrhea profiles during outpatient chemotherapy

PURPOSE

Chemotherapy-induced diarrhea (CID) is a common symptom that occurs in 50 to 80% of patients. Given that the majority of the data on the occurrence and severity of CID is based on physician-rated toxicity criteria, this study's purposes were to identify subgroups of patients with distinct CID profiles and determine how these subgroups differ in terms of demographic and clinical characteristics; severity, frequency, and distress of CID; the co-occurrence of common GI symptoms; and QOL.

METHODS

Patients (n = 1133) completed the Memorial Symptom Assessment Scale six times over two cycles of chemotherapy. Latent profile analysis was used to identify subgroups of patients with distinct diarrhea profiles. Differences among these subgroups were evaluated using parametric and nonparametric statistics.

RESULTS

Four distinct diarrhea profiles were identified: none (58.3%), decreasing (22.0%), increasing (5.2%), and high (14.5%). Compared with the none class, patients in the high class had a lower functional status, a worse comorbidity profile, were more likely to have gastrointestinal cancer, and were more likely to receive chemotherapy on a 14-day cycle. No differences were found among the classes in the percentages of patients who received chemotherapy with a targeted therapy.

CONCLUSION

Given that CID occurred in over 40% of the patients, clinicians should assess for this symptom and other common GI symptoms and initiate appropriate pharmacologic and dietary interventions.

A Cross-Sectional Exploration of Cytokine-Symptom Networks in Breast Cancer Survivors Using Network Analysis

PURPOSE

The purpose of this study is to (a) visualize the symptom-cytokine networks (perceived stress, fatigue, loneliness, perceived cognitive impairment, daytime sleepiness, sleep quality, and 13 cytokines) and (b) explore centrality metrics of symptom-cytokine networks in breast cancer survivors who completed chemotherapy treatment.

METHODS

Cross-sectional analysis of data collected from 66 breast cancer survivors who were on average three years post chemotherapy completion. Perceived stress, fatigue, loneliness, perceived cognitive impairment, daytime sleepiness, and sleep quality were measured with self-report instruments, and a panel of 13 cytokines was measured from serum using multiplex assays. Symptoms and cytokines were simultaneously evaluated with correlations, network analysis, and community analysis.

RESULTS

Network analysis revealed the nodes with the greatest degree and closeness were interleukin-2, granulocyte-macrophage colony-stimulating factor, interleukin-13, and perceived cognitive impairment. Node betweenness was highest for perceived cognitive impairment and interleukin-2. Community analysis revealed two separate communities of nodes within the network (symptoms and the cytokines). Several edges connected the two communities including perceived cognitive impairment, stress, fatigue, depression, interleukin-2, granulocyte-macrophage colony-stimulating factor, interleukin-8, interleukin-13, and interleukin-10. Partial correlation analyses revealed significant negative relationships between interleukin-2 and fatigue, loneliness, stress, and perceived cognitive impairment (rs = -.27 to -.37, ps < .05) and a significant negative relationship between perceived cognitive impairment and granulocyte-macrophage colony-stimulating factor (r = -.34, p < .01).

CONCLUSIONS

Our analyses support that perceived cognitive impairment, stress, loneliness, depressive symptoms, and fatigue co-occur and extend the literature by suggesting that interleukin-2 may contribute to the underlying mechanistic pathway of these co-occurring symptoms. Our findings add to a growing body of literature that is shifting to study symptoms as they co-occur, or cluster, rather than individual symptoms.

circStrn3 is involved in bone cancer pain regulation in a rat model

Bone cancer pain (BCP) is a common chronic pain that is caused by a primary or metastatic bone tumor. More detailed molecular mechanisms of BCP are warranted. In this study, we established a BCP rat model. The von Frey hair test, body weight, and hematoxylin and eosin staining were employed. We screened differentially expressed circRNAs (DECs) between the BCP group and sham group. The results revealed that 850 DECs were significantly up-regulated and 644 DECs were significantly down-regulated in the BCP group. Furthermore, we identified 1177 differentially expressed genes (DEGs) significantly up-regulated and 565 DEGs significantly down-regulated in the BCP group. Gene Ontology annotation of all 1742 DEGs revealed that biological regulation of metabolic processes, cellular processes, and binding were the top enriched terms. For Kyoto Encyclopedia of Genes and Genomes analysis, phagosome, HTLV-I infection, proteoglycans in cancer, and herpes simplex infection were significantly enriched in this study. In addition, we identified four selected circRNAs, chr6:72418120|72430205, chr20:7561057|7573740, chr18:69943105|69944476, and chr5:167516581|167558250, by quantitative real time PCR. chr6:72418120|72430205 (circStrn3) was selected for further study based on expression level and the circRNA–miRNA–mRNA network table. Western blot analysis suggested that knockdown of circStrn3 could effectively induce Walker 256 cell apoptosis. In summary, our study provided a more in-depth understanding of the molecular mechanisms of BCP.

Chanling Gao Attenuates Bone Cancer Pain in Rats by the IKKβ/NF-κB Signaling Pathway

Cancer pain is one of the most common and serious symptoms of cancer patients. At present, the agents used for the prevention or treatment of cancer pain do not act with optimal safety and efficacy. The nuclear factor kappa B (NF-κB) signaling pathway and its downstream inflammatory factors interleukin-6 (IL-6), interleukin-1β (IL-1β), and tumor necrosis factor-α (TNF-α) play an important regulatory role in the developmental process of cancer pain. IKKβ is a key molecule of the IκB (IKK) kinase that propagates cellular responses to inflammation. Previous studies have shown that phosphorylation and degradation of the IκBα protein promotes the activation of NF-κB and the expression of TNF-α, IL-1β, and IL-6, participating in the formation and development of cancer pain. Chanling Gao (CLG) is a compound preparation of traditional Chinese medicine. It contains specific functions, namely nourishing Yin, activating blood circulation and relieving pain and dysfunction syndrome. It is used in the treatment of a variety of pain disorders including cancer-induced bone pain (CIBP), which has a certain relief effect. However, its mechanism of action still remains unclear. In the present study, a rat model of tibia CIBP was successfully established using the Walker 256 breast cancer cell line. The IKKβ/NF-κB signaling pathway and its related factors TNF-α, IL-1β, and IL-6 were used as the entry points to explore the effect of CLG on CIBP and their possible mechanisms of action. The results indicated that CLG improved the body mass of the CIBP rat model and increased the pain threshold in rats. CLG significantly inhibited the degradation of IκBα and the levels of p-IκBα, p-IKKβ, and p-p65 NF-κB proteins in the spinal cord of CIBP rats, inhibiting the contents of TNF-α, IL-1β, and IL-6. Therefore, we conclude that the analgesic effect of CLG in this rat model of CIBP may be related to the inhibition of the IKKβ/NF-κB signaling pathway and the reduction of synthesis and release of TNF-α, IL-1β, and IL-6.