Comparison of symptom clusters associated with fatigue in older and younger survivors of colorectal cancer

Which symptom to address in psychological treatment for cancer survivors when fear of cancer recurrence, depressive symptoms, and cancer-related fatigue co-occur? Exploring the level of agreement between three systematic approaches to select the focus of treatment

PURPOSE

To investigate the extent to which three systematic approaches for prioritizing symptoms lead to similar treatment advices in cancer survivors with co-occurring fear of cancer recurrence, depressive symptoms, and/or cancer-related fatigue.

METHODS

Psychological treatment advices were was based on three approaches: patient preference, symptom severity, and temporal precedence of symptoms based on ecological momentary assessments. The level of agreement was calculated according to the Kappa statistic.

RESULTS

Overall, we found limited agreement between the three approaches. Pairwise comparison showed moderate agreement between patient preference and symptom severity. Most patients preferred treatment for fatigue. Treatment for fear of cancer recurrence was mostly indicated when based on symptom severity. Agreement between temporal precedence and the other approaches was slight. A clear treatment advice based on temporal precedence was possible in 57% of cases. In cases where it was possible, all symptoms were about equally likely to be indicated.

CONCLUSIONS

The three approaches lead to different treatment advices. Future research should determine how the approaches are related to treatment outcome. We propose to discuss the results of each approach in a shared decision-making process to make a well-informed and personalized decision with regard to which symptom to target in psychological treatment.

IMPLICATIONS FOR CANCER SURVIVORS

This study contributes to the development of systematic approaches for selecting the focus of psychological treatment in cancer survivors with co-occurring symptoms by providing and comparing three different systematic approaches for prioritizing symptoms.

Study of symptom clusters in brain tumor patients 2 weeks after craniotomy

BACKGROUND

This study aimed to identify potential symptom clusters among primary brain tumor patients using factor analysis. Understanding these clusters enables better-targeted interventions post-craniotomy.

METHODS

A total of 211 participants visiting Department of Neurosurgery at Shanghai Tenth People's Hospital for proposed surgical treatment between January 2021 and March 2022 were enrolled. Two weeks after craniotomy, the patients' symptoms were measured using MDASI-BT (M.D. Anderson Symptom Inventory Brain Tumor Module), and factor analysis was performed to identify symptom clusters.

RESULTS

A total of three symptom clusters, i.e., symptom cluster 1, symptom cluster 2, and symptom cluster 3, were identified. Among them, symptom cluster 1 represented the fatigue-related symptom cluster, including fatigue, lethargy, dry mouth, pain, and sleep disturbance (Cronbach's α = 0.742); symptom cluster 2 represented the gut-brain axis symptom cluster, including loss of appetite, weakness in one side of the body, and change in bowel habits (Cronbach's α = 0.532); and symptom cluster 3 represented the self-image symptom cluster, including change in appearance, sadness, and distress (Cronbach's α = 0.547).

CONCLUSION

This study identified three potential symptom clusters among primary brain tumor patients. Understanding these clusters could well contribute to earlier interventions and improved quality of care.

Symptom networks in older adults with cancer: A network analysis

INTRODUCTION

Due to aging, older adults with cancer (OAC) may be confronted with a complex interplay of multiple age-related issues; coupled with receiving cancer treatment, OAC may experience multiple concurrent symptoms that require the identification of the core symptom for effective management. Constructing symptom networks will help in the identification of core symptoms and help achieve personalized and precise interventions. Currently, few studies have used symptom networks to identify core symptoms in OAC. Our objectives were to construct symptom networks of OAC, explore the core symptoms, and compare the differences in symptom networks among various subgroups.

MATERIALS AND METHODS

Secondary analysis was performed using data from 485 OAC collected in 2021 from a cross-sectional survey named the Shanghai CANcer Survivor (SCANS) Report. The MD Anderson Symptom Inventory (MDASI) was used to assess the incidence and severity of cancer-related symptoms. We used the R package to construct symptom networks and identify the centrality indices. The network comparison test was used to compare network differences among the subgroups.

RESULTS

The most common and severe symptoms reported were fatigue, disturbed sleep, and difficulty remembering. The network density was 0.718. Vomiting (rs = 1.81, rb = 2.13), fatigue (rs = 1.54, rb = 1.93), and sadness (rs = 0.81, rb = 0.69) showed the highest strength values, which suggested that these symptoms were more likely to co-occur with other symptoms. The network comparison tests showed significant differences in symptom network density between the subgroups categorized as survival "< 5 years" and survival "≥ 5 years" (p = 0.002), as well as between the those with comorbidities and those without comorbidities (p = 0.037).

DISCUSSION

Our study identified symptom networks in 485 OAC. Vomiting, fatigue, and sadness were important symptoms in the symptom networks of OAC. The symptom networks differed among populations with different survival durations and comorbidities. Our network analysis provides a reference for future targeted symptom management and interventions in OAC. In the future, conducting dynamic research on symptom networks will be crucial to explore interaction mechanisms and change trends between symptoms.

From a Clustering of Adverse Symptoms after Colorectal Cancer Therapy to Chronic Fatigue and Low Ability to Work: A Cohort Study Analysis with 3 Months of Follow-Up

In colorectal cancer (CRC) patients, apart from fatigue, psychological and physical symptoms often converge, affecting their quality of life and ability to work. Our objective was to ascertain symptom clusters within a year following CRC treatment and their longitudinal association with persistent fatigue and reduced work ability at the 3-month follow-up. We used data from MIRANDA, a multicenter cohort study enrolling adult CRC patients who are starting a 3-week in-patient rehabilitation within a year post-curative CRC treatment. Participants completed questionnaires evaluating symptoms at the start of rehabilitation (baseline) and after three months. We performed an exploratory factor analysis to analyze the clustering of symptoms at baseline. Longitudinal analysis was performed using a multivariable linear regression model with dichotomized symptoms at baseline as independent variables, and the change in fatigue and ability to work from baseline to 3-month-follow-up as separate outcomes, adjusted for covariates. We identified six symptom clusters: fatigue, gastrointestinal symptoms, pain, psychosocial symptoms, urinary symptoms, and chemotherapy side effects. At least one symptom from each factor was associated with higher fatigue or reduced ability to work at the 3-month follow-up. This study highlights the interplay of multiple symptoms in influencing fatigue and work ability among CRC patients post-rehabilitation.

Exploring the dynamics of perioperative symptom networks in colorectal cancer patients: a cross-lagged panel network analysis

BACKGROUND

Colorectal cancer incidence is on the rise, necessitating precise symptom management. However, causal relationships among symptoms have been challenging to establish due to reliance on cross-sectional data. Cross-lagged panel network (CLPN) analysis offers a solution, leveraging longitudinal data for insight.

OBJECTIVE

We employed CLPN analysis to construct symptom networks in colorectal cancer patients at three perioperative time points, aiming to identify predictive relationships and intervention opportunities.

METHODS

We evaluated the prevalence and severity of symptoms throughout the perioperative period, encompassing T1 the first day of admission, T2 2-3 days postoperatively, and T3 discharge, utilizing the M. D. Anderson Symptom Inventory Gastrointestinal Cancer Module (MDASI-GI). To identify crucial nodes in the network and explore predictive and interactive effects among symptoms, CLPNs were constructed from longitudinal data in R.

RESULTS

The analysis revealed a stable network, with disturbed sleep exhibiting the highest out-EI (outgoing expected influence) during T1. Distress had a sustained impact throughout the perioperative. Disturbed sleep at T1 predicted T2 bloating, fatigue, distress, and pain. T1 distress predicted T2 sadness severity. T2 distress primarily predicted T3 fatigue, disturbed sleep, changes in taste, and bloating. T2 shortness of breath predicted T3 changes in taste and loss of appetite. Furthermore, biochemical markers like RBC and ALB had notable influence on symptom clusters during T1→T2 and T2→T3, respectively.

CONCLUSION

Prioritizing disturbed sleep during T1 and addressing distress throughout the perioperative phase is recommended. Effective symptom management not only breaks the chain of symptom progression, enhancing healthcare impact, but also eases patient symptom burdens.

Patient-reported persistent symptoms after radiotherapy and association with quality of life for prostate cancer survivors

PURPOSE

To evaluate the persistence of symptoms after radiotherapy (RT) for localised prostate cancer (PCa) and the association with quality of life (QOL).

MATERIALS AND METHODS

Prospective patient-reported outcome (PRO) from a multi-institutional study on PCa treated with radical RT (2010-2014) was analysed. Data was collected at baseline (BL) and follow-ups (FUPs) up to 5 years. Patients with BL and ≥3 late FUPs (≥6 months) were analysed. PRO was scored by means of the IPSS and ICIQ-SF (urinary), LENT-SOMA (gastrointestinal [GI]), and EORTC-C30 (pain, insomnia, fatigue, and QOL) questionnaires. Symptoms were defined 'persistent' if the median score over FUPs was ≥3 (urinary) or ≥2 (GI, pain, insomnia, and fatigue), and worse than BL. Different thresholds were chosen to have enough events for each symptom. QOL was linearly transformed on a continuous scale (0-100). Linear-mixed models were used to identify significant differences between groups with and without persistent symptoms including age, smoking status, previous abdominal surgery, and diabetes as confounders. Mean QOL differences between groups were evaluated longitudinally over FUPs.

RESULTS

The analysis included 293 patients. Persistent urinary symptoms ranged from 2% (straining) to 12% (weak stream, and nocturia). Gastrointestinal symptoms ranged from 7% (rectal pain, and incontinence) to 30% (urgency). Proportions of pain, insomnia, and fatigue were 6, 13, and 18%. Significant QOL differences of small-to-medium clinical relevance were found for urinary incontinence, frequency, urgency, and nocturia. Among GI symptoms, rectal pain and incontinence showed small-to-medium differences. Fatigue was associated with the largest differences.

CONCLUSIONS

The analysis showed that symptoms after RT for PCa occur with different persistence and their association with QOL varies in magnitude. A number of persistent urinary and GI symptoms showed differences in a comparable range. Urinary incontinence and frequency, rectal pain, and faecal incontinence more often had significant associations. Fatigue was also prevalent and associated with largely deteriorated QOL.

Trajectories and risk factors of fatigue following colorectal cancer diagnosis

AIM

This study sought to identify groups of colorectal cancer patients based upon trajectories of fatigue and examine how demographic, clinical and behavioural risk factors differentiate these groups.

METHOD

Patients were from six cancer centres in the United States and Germany. Fatigue was measured using the fatigue subscale of the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ-C30) at five time points (baseline/enrolment and 3, 6, 12 and 24 months after diagnosis). Piecewise growth mixture models identified latent trajectories of fatigue. Logistic regression models examined differences in demographic, clinical and behavioural characteristics between fatigue trajectory groups.

RESULTS

Among 1615 participants (57% men, 86% non-Hispanic White, mean age 61 ± 13 years at diagnosis), three distinct groups were identified. In the high fatigue group (36%), fatigue significantly increased in the first 6 months after diagnosis and then showed statistically and clinically significant improvement from 6 to 24 months (P values < 0.01). Throughout the study period, average fatigue met or exceeded cutoffs for clinical significance. In the moderate (34%) and low (30%) fatigue groups, fatigue levels remained below or near population norms across the study period. Patients who were diagnosed with Stage II-IV disease and/or current smokers were more likely to be in the high fatigue than in the moderate fatigue group (P values < 0.05).

CONCLUSION

A large proportion of colorectal cancer patients experienced sustained fatigue after initiation of cancer treatment. Patients with high fatigue at the time of diagnosis may benefit from early supportive care.

Novel method for predicting nonvisible symptoms using machine learning in cancer palliative care

End-of-life patients with cancer may find expressing their symptoms difficult if they can no longer communicate verbally because of deteriorating health. In this study, we assessed these symptoms using machine learning, which has excellent predictive capabilities and has recently been applied in healthcare. We performed a retrospective clinical survey involving 213 patients with cancer from August 2015 to August 2016. We divided the reported symptoms into two groups-visible and nonvisible symptoms. We used decision tree analysis, an analytical machine learning method that organizes and analyzes information in the form of a tree diagram to visually represent the information structure. Our machine learning model used patient background data and visible symptoms to predict nonvisible symptoms: pain, dyspnea, fatigue, drowsiness, anxiety, delirium, inadequate informed consent, and spiritual issues. The highest and/or lowest values for prediction accuracy, sensitivity, and specificity were 88.0%/55.5%, 84.9%/3.3%, and 96.7%/24.1%, respectively. This work will facilitate better assessment and management of symptoms in patients with cancer. This study was the first to predict nonvisible symptoms using decision tree analyses for patients with cancer receiving palliative care. Notably, applications based on our results may assess symptoms to the same extent as healthcare professionals.

Evaluation of the Effect of Self-Efficacy on Symptoms in Gastrointestinal Cancer Patients

Objective: The incidence of gastrointestinal cancer is increasing day by day and is among the highest 10 cancer types in the world. This study was conducted to evaluate the effects of self-efficacy of patients with gastrointestinal system cancer on symptom clusters. Methods: This cross-sectional study was conducted with 105 patients treated for gastrointestinal system cancer in a hospital located in the south of Turkey. In the study, patients over 18 years of age without hearing or speech impairment were included. To determine symptom clusters, Latent Profile Analysis and comparison of self-efficacy scale items by symptom clusters were performed with Chi-square, ANOVA, and Kruskal Wallis test. Results: The mean age of the patients was 58.83 ± 13.1 years; of the patients, 37.1% had colon ca, 21.9% had rectum ca. The patients had higher mean scores of fatigue, pain, feeling distressed, feeling sad, dry mouth, sleep disturbance, loss of appetite and nausea in the last week. The patients had higher mean scores of fatigue, pain, feeling distressed, feeling sad, dry mouth, sleep disturbance, loss of appetite and nausea in the last week. Three symptom clusters were determined by latent profile analysis; high, moderate, mild. It was determined that the level of self-efficacy was high in the symptom cluster which is low symptom severity and number of symptoms (p < .05). Conclusion: The number and the severity of symptoms are lower in patients with high self-efficacy perceptions.

Navigating severe chronic cancer-related fatigue: an interpretative phenomenological analysis

OBJECTIVE

This article presents a phenomenological study on the embodied experiences of patients with Chronic Cancer-Related Fatigue (CCRF), aiming to better understand this complex phenomenon.

DESIGN

Data collection consisted of individual interviews with 25 participants who suffered from severe CCRF for at least three months after cancer treatment was finished.

MAIN OUTCOME MEASURES

Against the theoretical background of philosophical phenomenology, we explored embodied experiences, incorporated temporal and spatial aspects of living with CCRF. We applied interpretative phenomenological analysis (IPA) to analyze the transcripts of the interviews.

RESULTS

Using IPA, we identified four themes on how chronic fatigue is experienced post-cancer: (1) Worn out; (2) Diminishment of one's 'I can'; (3) Invisibility; and (4) Regaining one's 'I can'.

CONCLUSION

For clinical practice, these results imply that professionals could focus more on the role of the body and limitations of one's 'I can' when treating CCRF. By studying these embodied CCRF experiences in individual patients, future research could help personalize and optimize treatment.

Experience of living with symptom clusters in postoperative pancreatic cancer patients

OBJECTIVE

The purpose of this study was to describe symptom clusters (SCs), and symptom experiences in early postoperative patients with pancreatic cancer who are recovering at home.

METHODS

From October 2021 and April 2022,15 patients following pancreatic cancer surgery were recruited from a tertiary hospital in Jiangsu Province by maximum variation sampling. Semi-structured interviews were performed to collect data and thematic analysis was conducted to analyze the data.

RESULTS

Three themes were extracted from the data. The first theme "difference in symptom perception and cognition" illustrated factors such as patient knowledge, expected recovery status, and risk perception could influence patient symptom experience. Most patients actually reported fewer and less severe symptoms than previous studies. The second theme "the results of symptom cluster" demonstrated anorexia-distress SC, bowel-digestive related SC and sleep disturbance related SC, and anorexia-distress SC should be considered as the priority SC given its multidimensional significance for patients. The last theme described the patient's positive attitudes, behaviours and barriers to coping with symptoms, namely "symptom self-management experience".

CONCLUSION

There are differences in the perception and interpretation of SCs in postoperative pancreatic cancer patients. Understanding the meaning of individual differences in the experience of symptoms can assist patients in the management of SCs. Medical staff should combine patient self-management strategies and evidence-based data to provide appropriate support at different stages to improve patient symptom management and quality of life.

Moving beyond Table 1: A critical review of the literature addressing social determinants of health in chronic condition symptom cluster research

Variability in the symptom experience in patients diagnosed with chronic conditions may be related to social determinants of health (SDoH). The purpose of this critical review was to (1) summarize the existing literature on SDoH and symptom clusters (i.e., multiple, co-occurring symptoms) in patients diagnosed with common chronic conditions, (2) evaluate current variables and measures used to represent SDoH, (3) identify gaps in the evidence base, and (4) provide recommendations for the incorporation of SDoH into future symptom cluster research. We identified 118 articles including information on SDoH in chronic condition symptom cluster research. Articles primarily focused on cancer populations. Few articles had the explicit purpose of investigating relationships between SDoH and symptom clusters, and the inclusion of SDoH was often limited to variables used to describe samples. Future studies should be designed to "move beyond Table 1" in their utilization of SDoH as variables and examine relationships between SDoH and symptom clusters. Attention should be paid to the appropriateness of measures being used to collect information on SDoH, and analysis methods that estimate causal connections between variables should be considered. Research regarding the relationship of SDoH with symptom clusters in patients with chronic conditions has the potential to reveal mechanisms of symptom disparities and guide changes to alleviate these disparities.

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.

Cerebral Metabolic Analysis of Patients With Colorectal Cancer and Chronic Enteritis: Inquiry Into Gut-Brain Crosstalk

Gut-brain crosstalk has been demonstrated previously. However, brain metabolic patterns of colorectal cancer and chronic enteritis remain unclear. A better understanding of gut-brain crosstalk from a radiological perspective is necessary. We conducted a retrospective study in which we acquired ¹⁸F-fluorodeoxyglucose positron emission tomography in 45 colorectal cancer cases, 45 age- and sex-matched chronic enteritis patients, and 45 age- and sex-matched healthy controls. We calculated a scaled sub-profile pattern based on principal component analysis and metabolic connectivity to explore the brain metabolic model and analyzed correlations between various brain regions and cancer to identify potential neuroimaging markers for non-pharmaceutical therapies. We found a characteristic cerebral metabolic pattern in colorectal cancer patients, which mainly involved visceral sensation and both affective and cognitive psychological processes. The metabolic patterns of patients with colorectal cancer and chronic enteritis were similar but not identical. The metabolic connectivity of the postcentral gyrus and paracentral lobule was found to be significantly different between the controls and patients with colorectal cancer (p < 0.05, false discovery rate correction). The maximal standard uptake value of the cancer focus in colorectal cancer patients was negatively correlated with the dorsolateral superior frontal gyrus (p < 0.05). Patients with colorectal cancer may show abnormal glucose cerebral metabolism characterized by “point-line-surface.” This preliminary study revealed the cerebral metabolic characteristics and neurobiological mechanisms of colorectal cancer and chronic enteritis (ChiCTR2000041020; registered December 16, 2020).

Serum biomarkers predict adjuvant chemotherapy-associated symptom clusters in radical resected colorectal cancer patients

BACKGROUND

Due to individual heterogeneity, patients at the same stage of colorectal cancer (CRC) who receive the same chemotherapy may experience different symptom clusters. Identifying the precise factors that predict symptom clusters is of great clinical significance for precision care and for improving the quality of life of patients. The present study investigated the relationship between serum biomarkers and adjuvant chemotherapy-related symptom clusters in radically resected CRC patients.

METHODS

Serum biomarkers and clinical/pathological characteristics of the radical resected CRC patients were collected before the first cycle of adjuvant chemotherapy. A demographic questionnaire and M.D. Anderson Gastrointestinal Cancer Symptom Scale (MDASI-GI) were performed on the third day after chemotherapy and exploratory factor analysis was performed to determine the symptoms clusters. Multiple linear regression and correlation analysis were also performed to evaluate the correlation between serum biomarkers and chemotherapy-related symptom clusters.

RESULTS

A total of 4 chemotherapy-related symptom clusters were determined in the enrolled radical resected CRC patients, including a fatigue-psychological symptom cluster, gastrointestinal symptom cluster, neurotoxic symptom cluster, and constipation-abdominal distension symptom cluster. Further analysis showed that the gastrointestinal symptom cluster was significantly associated with age, gender, weight change status, neutrophil to lymphocyte ratio (NLR), and body mass index (BMI). Additionally, the fatigue-psychological symptom cluster was found to be significantly associated with high NLR. The neurotoxic symptom cluster was found to be significantly associated with low hemoglobin level.

CONCLUSIONS

Serum biomarkers and clinical characteristics of the radical resected CRC patients could be used to predict chemotherapy-related symptoms clusters.

Symptom Clusters and Quality of Life in Gastric Cancer Patients Receiving Chemotherapy

CONTEXT

Although gastric cancer is one of the most common tumors worldwide, there is little knowledge about symptom clusters and quality of life (QoL) in this population.

OBJECTIVES

The objectives were to identify the symptom clusters in gastric cancer patients receiving chemotherapy, and explore their effects on QoL.

METHODS

Gastric cancer patients receiving chemotherapy were recruited. Data were collected using the Memorial Symptom Assessment Scale Short Form, the Functional Assessment of Cancer Therapy-Gastric and the self-designed General Information Evaluation Form. The symptom clusters were extracted through the exploratory factor analysis. The influencing factors of symptom clusters and their effects on QoL were identified using multiple linear regression analysis.

RESULTS

A total of 322 participants were enrolled from three medical centers. Five factors were identified in this exploratory factor analysis based on symptom prevalence, namely fatigue related symptom cluster, epithelial symptom cluster, neurologic symptom cluster, malnutrition related symptom cluster and psychological symptom cluster (χ² = 31.470, P < 0.05). The affecting factors across symptom clusters and QoL subscales were relatively stable, but also different. Generally, fatigue related symptom cluster, malnutrition related symptom cluster and psychological symptom cluster demonstrated significantly negative effects on all aspects of QoL except social well being.

CONCLUSION

Five symptom clusters were identified in gastric cancer patients receiving chemotherapy in mainland China. The symptom clusters negatively contributed to the variance in all aspects of QoL except social well being. Further studies should examine interventions for symptom clusters, their influencing factors, and their effects on improving QoL.

Home-based Physical Activity to Alleviate Fatigue in Cancer Survivors: A Systematic Review and Meta-analysis

PURPOSE

Physical activity (PA) affects fatigue and mental health in cancer survivors favorably, but participation in PA interventions tends to be low. More participants may be reached by home-based PA owing to greater accessibility and self-monitoring. This systematic review therefore evaluated the effects of home-based PA of low to moderate intensity on symptoms of fatigue, depression, and anxiety among cancer survivors.

METHODS

PubMed, CINAHL, PsycINFO, and Web of Science were systematically searched for randomized controlled trials. We included investigations of home-based PA interventions in adults treated curatively for cancer and evaluating fatigue, depression, or anxiety as outcomes. We performed a random-effect meta-analysis for the effects of PA interventions on fatigue in the short and long terms. Subgroup analyses were performed for the frequency of counseling. Standardized mean differences (SMD) and 95% confidence intervals are reported.

RESULTS

Eleven articles comprising 1066 participants were included: 77% had a history of breast cancer; 14%, ovarian cancer; 4%, colorectal cancer; 4%, prostate cancer; and 1%, "other" cancer (not specified). Concerning the outcomes, nine articles reported on fatigue and two reported on depression or anxiety. Meta-analyses showed a significant effect of home-based PA on fatigue immediately after the intervention (SMD = 0.22 [0.06-0.37]), at 3 months' follow-up (SMD = 0.27 [0.04-0.51]), and at 6-9 months' follow-up (SMD = 0.31 [0.08-0.55]). PA interventions that used frequent counseling were associated with larger improvements in fatigue than those using no or infrequent counseling.

CONCLUSIONS

Home-based PA interventions can reduce fatigue among adult cancer survivors for up to 9 months, and frequent counseling may improve the benefits of these interventions.

The prevalence and risk of symptom and function clusters in colorectal cancer survivors

PURPOSE

Our purpose was to describe the prevalence and predictors of symptom and function clusters in a diverse cohort of colorectal cancer survivors.

METHODS

We used data from a cohort of 909 adult colorectal cancer survivors. Participants were surveyed at a median of 9 months after diagnosis to ascertain the co-occurrence of eight distinct symptom and functional domains. We used factor analysis to identify co-occurring domains and latent profile analysis (LPA) to identify subgroups of survivors with different symptom and function clusters. Multinomial logistic regression models were used to identify risk/protective factors.

RESULTS

Factor analysis demonstrated a single underlying factor structure that included all eight health domains with depression and anxiety highly correlated (r = 0.87). The LPA identified three symptom and function clusters, with 30% of survivors in the low health-related quality of life (HRQOL) profile having the highest symptom burden and lowest functioning. In multivariable models, survivors more likely to be in the low HRQOL profile included being non-White, female, those with a history of cardiac or mental health conditions, and chemotherapy recipients. Survivors less likely to be in the low HRQOL profile included those with older age, greater financial well-being, and more spirituality.

CONCLUSION

Nearly one-third of colorectal cancer survivors experienced a cluster of physical and psychosocial symptoms that co-occur with clinically relevant deficits in function.

IMPLICATIONS FOR CANCER SURVIVORS

Improving the identification of risk factors for having the highest symptom and lowest function profile can inform the development of clinical interventions to mitigate their adverse impact on cancer survivors' HRQOL.

Factors associated with returning to work and work ability of colorectal cancer survivors

PURPOSE

The objective of this current study was to describe the status of returning to work and work ability of colorectal cancer survivors and identify the key factors associated with returning to work and work ability of Chinese colorectal cancer patients.

METHODS

A cross-sectional observational study was performed in 212 colorectal cancer survivors who have worked before their colorectal cancer diagnosis. We evaluated patient's return to work (Yes/No), work ability, and factors by questionnaires of the Work Ability Index (WAI), M. D. Anderson Symptom Inventory for Gastrointestinal (MDASI-GI), and the Self-Report Psychosocial Adjustment to Illness Scale (PAIS-SR). Logistic regression analysis and linear regression were used to find the potential predictors with returning to work and work ability.

RESULTS

Participants mostly 145 have returned to work (68.4%). Work ability and psychosocial adjustment of colorectal cancer survivors were at a moderate level. After completing treatment, the patient still had many symptoms, and these symptoms were distress to live. In the two models, survivors with higher family monthly income per capita and lower psychosocial adjustment scores were more likely to have higher work ability and return to work. Survivors with lower symptom distress were more likely to have higher work ability (r =  - 0.038, p = 0.010). Survivors with higher work ability were more likely to return to work (OR = 1.193, 95% CI = (1.116,1.274)).

CONCLUSION

This study confirmed that symptom distress and psychosocial adjustment were significantly associated with colorectal cancer survivors' returning to work and work ability, which should be considered in future intervention research.

Light Therapy for Cancer-Related Fatigue in (Non-)Hodgkin Lymphoma Survivors: Results of a Randomized Controlled Trial

Simple Summary

Cancer-related fatigue (CRF) is one of the most frequently reported symptoms with prevalence rates of 25 to 60 percent in (non-)Hodgkin lymphoma survivors. Several (pilot) studies showed promising effects of light therapy to reduce CRF. The aim of the current study is to evaluate the short- and long-term efficacy of light therapy on CRF and associated symptoms in chronically fatigued (non-)Hodgkin lymphoma survivors. Eighty-three survivors were exposed to bright white light (intervention) and another 83 survivors were exposed to dim white light (comparison). Results showed that all participants, irrespective of light condition, reported reduced levels of fatigue after the completion of light therapy. Similar results were found for depression, sleep quality, and some aspects of quality of life. No effect was found on circadian rhythms or objectively assessed sleep. Therefore, it is important to further investigate which aspects of intervention are associated with the improvements observed after light therapy.

Abstract

Purpose: To evaluate the short- and long-term effects of light therapy on fatigue (primary outcome) and sleep quality, depression, anxiety, quality of life, and circadian rhythms (secondary outcomes) in survivors of (non-)Hodgkin lymphoma presenting with chronic cancer-related fatigue. Methods: We randomly assigned 166 survivors (mean survival 13 years) to a bright white light intervention (BWL) or dim white light comparison (DWL) group. Measurements were completed at baseline (T0), post-intervention (T1), at three (T2), and nine (T3) months follow-up. A mixed-effect modeling approach was used to compare linear and non-linear effects of time between groups. Results: There were no significant differences between BWL and DWL in the reduction in fatigue over time. Both BWL and DWL significantly (p < 0.001) improved fatigue levels during the intervention followed by a slight reduction in this effect during follow-up (ES_T0-T1 = −0.71; ES_T1-T3 = 0.15). Similar results were found for depression, sleep quality, and some aspects of quality of life. Light therapy had no effect on circadian rhythms. Conclusions: BWL was not superior in reducing fatigue compared to DWL in HL and DLBCL survivors. Remarkably, the total sample showed clinically relevant and persistent improvements on fatigue not commonly seen in longitudinal observational studies in these survivors.

The Relationship Between Muscle Strength and Body Composition Measures and Cancer-Related Fatigue: A Systematic Review and Meta-Analysis

PROBLEM IDENTIFICATION

Cancer-related fatigue (CRF) substantially affects daily living and quality of life, but objective CRF measures remain limited. This review aimed to identify the correlation between muscle strength and body composition measures and CRF, as well as potential objective indicators for assessing CRF.

LITERATURE SEARCH

PubMed®, MEDLINE®, CINAHL®/PsycINFO®, and Embase® were searched for studies published from January 2000 to January 2021.

DATA EVALUATION

Study selection and quality assessment were conducted using the Critical Appraisals Skills Programme checklist and the Strengthening the Reporting of Observational Studies in Epidemiology statement. Comprehensive Meta-Analysis software was used to perform meta-analysis.

SYNTHESIS

25 studies were selected, and 19 measures were analyzed. CRF negatively correlated with hand grip strength, knee extensor strength, and the sit-to-stand test. No significant correlation was found between body composition measures and CRF.

IMPLICATIONS FOR NURSING

The evidence suggests that muscle strength measures may be potential indicators for CRF assessment. Combining objective and subjective CRF assessments could assist clinicians in evaluating the effectiveness of CRF interventions more accurately.

Changes in Gut Microbiome Associated With Co-Occurring Symptoms Development During Chemo-Radiation for Rectal Cancer: A Proof of Concept Study

PURPOSE

To examine a) whether there are significant differences in the severity of symptoms of fatigue, sleep disturbance, or depression between patients with rectal cancer who develop co-occurring symptoms and those with no symptoms before and at the end of chemotherapy and radiation therapy (CRT); b) differences in gut microbial diversity between those with co-occurring symptoms and those with no symptoms; and c) whether before-treatment diversity measurements and taxa abundances can predict co-occurrence of symptoms.

METHODS

Stool samples and symptom ratings were collected from 31 patients with rectal cancer prior to and at the end of (24-28 treatments) CRT. Descriptive statistics were computed and the Mann-Whitney U test was performed for symptoms. Gut microbiome data were analyzed using R's vegan package software.

RESULTS

Participants with co-occurring symptoms reported greater severity of fatigue at the end of CRT than those with no symptoms. Bacteroides and Blautia2 abundances differed between participants with co-occurring symptoms and those with no symptoms. Our random forest classification (unsupervised learning algorithm) predicted participants who developed co-occurring symptoms with 74% accuracy, using specific phylum, family, and genera abundances as predictors.

CONCLUSION

Our preliminary results point to an association between the gut microbiota and co-occurring symptoms in rectal cancer patients and serves as a first step in potential identification of a microbiota-based classifier.

Symptom Experiences in Colorectal Cancer Survivors After Cancer Treatments: A Systematic Review and Meta-analysis

BACKGROUND

With improved survivorship rates for colorectal cancer (CRC), more CRC survivors are living with long-term disease and treatment side effects. Little research exists on CRC symptoms or symptom management guidelines to support these individuals after cancer treatments.

OBJECTIVES

The aims of this study were to systematically review symptom experiences, risk factors, and the impact of symptoms and to examine the pooled frequency and severity of symptoms via meta-analyses in CRC survivors after cancer treatments.

METHODS

Relevant studies were systematically searched in 7 databases from 2009 to 2019. Meta-analysis was conducted for pooled estimates of symptom frequency and severity.

RESULTS

Thirty-five studies met the inclusion criteria. Six studies assessed multiple CRC symptoms, whereas 29 focused on a single symptom, including peripheral neuropathy, psychological distress, fatigue, body image distress, cognitive impairment, and insomnia. The pooled mean frequency was highest for body image distress (78.5%). On a scale of 0 to 100, the pooled mean severity was highest for fatigue (50.1). Gastrointestinal and psychological symptoms, peripheral neuropathy, and insomnia were also major problems in CRC survivors. Multiple factors contributed to adverse symptoms, such as younger age, female gender, and lack of family/social support. Symptoms negatively impacted quality of life, social and sexual functioning, financial status, and caregivers' physical and mental conditions.

CONCLUSIONS

Colorectal cancer survivors experienced multiple adverse symptoms related to distinct risk factors. These symptoms negatively impacted patients and caregivers' well-being.

IMPLICATIONS FOR PRACTICE

Healthcare providers can use study findings to better assess and monitor patient symptoms after cancer treatments. More research is needed on CRC-specific symptoms and their effective management.

Symptom experiences in post-treatment cancer survivors: associations with acceptance and commitment therapy constructs

PURPOSE

Acceptance and Commitment Therapy (ACT) has improved symptom and quality-of-life outcomes in pilot research with post-treatment cancer survivors. To further test the ACT model, the present study examined relationships between ACT constructs and subgroups of post-treatment survivors based on the severity of common symptoms.

METHODS

Survivors who had completed primary treatment for stage I or II cancer (N = 203) participated in this one-time survey. Latent class analysis (LCA) was used to identify subgroups of survivors based on the severity of fatigue, sleep disturbance, pain, anxiety, and depressive symptoms. Multinomial logistic regressions employing Vermunt's 3-step approach were used to examine ACT constructs (e.g., mindfulness, acceptance, values progress) as correlates of survivor subgroups based on symptoms.

RESULTS

The LCA showed three survivor classes: (1) mild-to-moderate levels of all symptoms except for normal pain intensity; (2) mild anxiety, moderate fatigue, and normal levels of all other symptoms; and (3) normal levels of all symptoms. Lower mindfulness, acceptance, and values progress and higher cognitive fusion, psychological inflexibility, and values obstruction were associated with a greater likelihood of being in class 1 or 2 than in class 3.

CONCLUSION

Findings are consistent with the ACT model. Survivors with greater symptom burden reported greater withdrawal from personally meaningful activities and less acceptance of their cancer diagnosis and internal experiences (e.g., thoughts, feelings, symptoms). Findings provide strong justification for further testing of ACT to reduce symptom-related suffering in cancer survivors.

CLINICAL EVALUATION AND PATTERN OF SYMPTOMS IN COLORECTAL CANCER PATIENTS

BACKGROUND

Colorectal cancer is the third most common type of cancer in the world and the increased survival of the colorectal cancer population is very significant. Thus, it becomes relevant to study the symptoms associated with the progression of the disease and treatment, for proper clinical management.

OBJECTIVE

To describe the clinical and epidemiological profile of colorectal cancer patients and to identify the most prevalent signs and symptoms patterns.

METHODS

Cross-sectional study evaluating the prevalence of symptoms in 348 colorectal cancer patients admitted to a referral oncology hospital. We applied MSAS-BR scale and, through factor analysis with principal componente analysys, we performed the grouping of symptoms.

RESULTS

There was a predominance of men, aged 60 years or older, married, white, with high school, moderately differentiated tumor, stage III/IV disease, colon cancer and no distant metastasis. The most prevalent symptoms were weight loss (67.53%) and the least prevalent were mouth sores (2.01%). The groupings of symptoms established were "fatigue and psychic symptoms", "gastrointestinal symptoms", "self-perceptive symptoms" and "general symptoms", which described 80% of the symptoms presented.

CONCLUSION

We evidenced the importance of identifying these symptoms clusters in order to improve strategies for clinical management in patients with colorectal cancer.

Quality of life in Mexican colorectal cancer patients: analysis with sociodemographic, medical, and psychological variables

In this study, we evaluated the influence of sex, age, clinical stage, and colostomy/ileostomy variables on the quality of life of Mexican patients with colorectal cancer. Using a descriptive cross-sectional design, 192 colorectal cancer patients were included in the study. Significant differences were observed in emotional functioning between patients with rectal cancer and those with colon cancer. Presence of colostomy/ileostomy was associated with significantly impaired social functioning. Body image was significantly different based on gender and diagnosis. Likewise, significant differences were observed with respect to symptoms of the general and specific quality of life modules for colorectal cancer: these included significant difference between male and female patients with respect to taste; significant difference between rectal and colon cancer with respect to presence of blood and mucous in stool, urinary incontinence, and buttock pain; and significant difference between patients with and without colostomy/ileostomy with respect to constipation, stool frequency, sore skin, and embarrassment. We observed significant correlation of dimensions of the quality of life with distress, post-traumatic stress, and optimism. Interventions for improving the quality of life of patients with colorectal cancer should be individualized based on the specific diagnosis and the presence/absence of colostomy/ileostomy.

Exploring the interconnectedness of fatigue, depression, anxiety and potential risk and protective factors in cancer patients: a network approach

Researchers have extensively studied fatigue, depression and anxiety in cancer patients. Several risk and protective factors have been identified for these symptoms. As most studies address these constructs, independently from other symptoms and potential risk and protective factors, more insight into the complex relationships among these constructs is needed. This study used the multivariate network approach to gain a better understanding of how patients' symptoms and risk and protective factors (i.e. physical symptoms, social withdrawal, illness cognitions, goal adjustment and partner support) are interconnected. We used cross-sectional data from a sample of cancer patients seeking psychological care (n = 342). Using network modelling, the relationships among symptoms of fatigue, depression and anxiety, and potential risk and protective factors were explored. Additionally, centrality (i.e. the number and strength of connections of a construct) and stability of the network were explored. Among risk factors, the relationship of helplessness and physical symptoms with fatigue stood out as they were stronger than most other connections in the network. Among protective factors, illness acceptance was most centrally embedded within the network, indicating it had more and stronger connections than most other variables in the network. The network identified key connections with risk factors (helplessness, physical symptoms) and a key protective factor (acceptance) at the group level. Longitudinal studies should explore these risk and protective factors in individual dynamic networks to further investigate their causal role and the extent to which such networks can inform us on what treatment would be most suitable for the individual cancer patient.

Pain, fatigue, anxiety and depression in older home-dwelling people with cancer

Aim

Globally, cancer incidence counts for more than 14 million cases and the number increases with age. The aim of this study was to investigate the occurrence of pain, fatigue, anxiety and depression in association with demographic and clinical factors.

Design

A cross-sectional descriptive design was used.

Methods

We performed descriptive statistics to analyse the questionnaires completed from 174 older home-dwelling people with cancer.

Results

The people with cancer reported low occurrence of pain, fatigue, anxiety and depression. We found strong correlation between anxiety and depression. Women reported significantly higher scores of anxiety and depression than men. A higher pain score was associated with higher scores of fatigue and anxiety.

Conclusions

Home care personnel meeting older home-dwelling people with cancer should emphasize these people' mental health problems and be aware that pain, fatigue and anxiety may occur at the same time.

Stability of Symptom Clusters in Patients With Gastrointestinal Cancers Receiving Chemotherapy

CONTEXT

Limited evidence suggests that patients with gastrointestinal (GI) cancers receiving chemotherapy (CTX) experience an average of 13 co-occurring symptoms. An alternative to counting symptoms is to evaluate for symptom clusters.

OBJECTIVES

In a sample of patients with GI cancers receiving CTX (n = 399), we evaluated the occurrence, severity, and distress of 38 symptoms in the week before patients' second or third cycle of CTX (Time 1 [T1]), approximately one week after CTX (Time 2 [T2]), and approximately two weeks after CTX (Time 3 [T3]); evaluated for differences in the number and types of symptom clusters at each of these three assessments using ratings of occurrence, severity, and distress; and evaluated for changes in symptom clusters over time.

METHODS

Modified version of the Memorial Symptom Assessment Scale collected data on 38 common symptoms. Exploratory factor analyses were used to create the symptom clusters.

RESULTS

Five distinct symptom clusters were identified across the three symptom dimensions and the three assessments (i.e., psychological, CTX-related, weight change, GI, and epithelial). Psychological, CTX-related, and weight change clusters were relatively stable across all three symptom dimensions and time. Across all three symptom dimensions, GI cluster was identified only at T1 and epithelial cluster was identified at T2 and T3.

CONCLUSION

The number and types of symptom clusters appear to be relatively stable over time and across the symptom dimensions. Ongoing assessment and management of these clusters is warranted across the entire course of CTX. The underlying mechanism for these clusters warrants investigation.

Symptom Clusters in Patients With Gastrointestinal Cancers Using Different Dimensions of the Symptom Experience

CONTEXT

Patients with gastrointestinal (GI) cancers undergoing chemotherapy (CTX) experience multiple cooccurring symptoms.

OBJECTIVES

The aim of this study was to describe the occurrence, severity, and distress of 38 symptoms and to identify symptom clusters based on three symptom dimensions (i.e., occurrence, severity, and distress) in patients with GI cancers receiving CTX (n = 399). We compared whether the numbers and types of symptom clusters differed based on the dimension of the symptom experience used to create the clusters.

METHODS

A modified version of the Memorial Symptom Assessment Scale was used to assess the occurrence, severity, and distress of 38 symptoms before the initiation of the patient's next dose of CTX. Exploratory factor analysis was used to determine the symptom clusters.

RESULTS

These patients experienced 13.0 (±7.1) symptoms before their second or third dose of CTX. For all three symptom dimensions, four symptom clusters were identified, namely psychological distress, CTX-related, GI, and weight change. The number and types of symptom clusters were relatively similar using all three symptom dimensions. However, some variability was found in the specific symptoms within each of the clusters.

CONCLUSION

Our findings suggest that patients with GI cancers experience multiple cooccurring symptoms. Consistent with previous studies of patients with a variety of cancer diagnoses, psychological and GI clusters are common. Clinicians need to assess for and tailor interventions for these symptom clusters.

Effects of a physical activity programme to prevent physical performance decline in onco-geriatric patients: a randomized multicentre trial

BACKGROUND

Older adults with cancer experience negative long-term functional effects of both cancer and treatments. Exercise may minimize their age-related and cancer-related functional decline.

METHODS

We conducted a multicentre open-label 12 month randomized clinical trial with two parallel arms including participants aged ≥70 years with lymphoma or carcinoma requiring curative treatment. The study started at the beginning of any phase of cancer treatment (surgery, chemotherapy, or radiotherapy). The usual care group (UCG) received the current national recommendations in physical activity (a guideline without specific counselling). The intervention group (IG) received 1 year phoned physical activity advice individually adapted to physical assessment (twice a month during the first 6 months and then monthly). The primary outcome was the proportion of subjects with a 1 year decreased short physical performance battery (SPPB) score of 1 point or more. Physical, cognitive, and clinical secondary outcomes were also investigated.

RESULTS

We allocated 301 participants (age 76.7 ± 5.0, female 60.6%) to each group. At baseline, the median SPPB was 10/12 in both groups. Breast was the most frequent tumour site (35.7%). After 1 year, 14.0% of participants in the UCG and 18.7% in the IG had a decrease in SPPB score of 1 point or more (P = 0.772). At 2 years, there was no difference in SPPB, gait speed, International Physical Activity Questionnaire score, and verbal fluency. Subgroup analyses after 2 years showed a decline in SPPB for 29.8% of UCG and 5.0% of IG breast cancer participants (P = 0.006), in 21.7% of UCG and 6.2% of IG female participants (P = 0.019), and in 24.5% of UCG and 11.1% of IG normal nutritional status participants (P = 0.009). Falls, hospitalization, institutionalization, and death rates were similar in both groups.

CONCLUSIONS

Personalized phoned physical activity advice had not reduced functional decline at 1 year but provided preliminary evidence that may prevent physical performance decline at 2 years in older adults with breast cancer.

Symptoms during chemotherapy in colorectal cancer patients

PURPOSE

Colorectal cancer (CRC) patients experience several physical and psychological co-occurring symptoms, but little is known about symptom variation during chemotherapy cycles. Therefore, the aims were (1) to assess the occurrence and severity of frequently occurring symptoms (worrying, lack of energy, numbness/tingling, nausea, and pain) at multiple time points during chemotherapy, (2) to investigate differences in symptom trajectories between chemotherapy groups, and (3) to determine whether selected patient and clinical characteristics are associated with symptom severity throughout the treatment trajectory.

METHODS

In total, 120 CRC patients receiving chemotherapy with curative or palliative intent completed the Memorial Symptom Assessment Scale (MSAS), Self-Administered Comorbidity Questionnaire (SCQ-19), and Karnofsky Performance Status (KPS) scale eight times, during two cycles of chemotherapy and 3 and 6 months after enrolment. Data were analyzed using linear mixed models for repeated measures to assess the effects of selected variables on outcomes over time.

RESULTS

The patients experienced greatest symptom severity in the days following the administration of chemotherapy; these were lack of energy, numbness/tingling (oxaliplatin group), and nausea. Palliative patients reported significantly higher pain scores compared with curative patients over time, whereas the severity of worrying decreased over time in both treatment groups. Age, sex, educational level, performance status, treatment intent and type of chemotherapy were significantly associated with symptom severity throughout the chemotherapy trajectory.

CONCLUSION

Clinicians can use these findings to identify and inform patients about risk for more severe symptom burden, in order to offer supportive care at the right time during the chemotherapy treatment.

Colorectal cancer survivors: an investigation of symptom burden and influencing factors

Background

Colorectal cancer is a significant issue internationally, with over 1.3 million people diagnosed annually. Survival rates are increasing as treatments improve, although physical symptoms can persist despite eradication of the tumour. In order to optimize survivorship care, further research is warranted in relation to symptom burden. Therefore, the objectives of this study are to (i) investigate frequency of physical symptoms in colorectal cancer survivors (ii) identify which symptoms occur together (iii) examine the associations between demographic and clinical variables, and symptoms.

Methods

Participants nine months to three years post diagnosis were identified from the population-based National Cancer Registry Ireland. Respondents completed the EORTC QLQ-C30 and EORTC QLQ-CR29. Reported physical symptom frequencies were transformed into continuous scale variables, which were then analysed using one way analysis of variance, general linear modelling and Spearman rank correlations.

Results

There were 496 participants. Fatigue, insomnia and flatulence were the most frequent symptoms, with ≥20% of respondents reporting these to be often present in the previous week. Eight other symptoms were experienced often by 10–20% of respondents. At least one of these eleven most common symptoms was experienced frequently by almost every respondent (99%). 66% of respondents experienced at least two of these symptoms together, and 16% experienced five or more together. Current stoma was the single most common variable associated with increased symptom scores, although statistically significant relationships (p ≤ 0.05) between symptom frequency scores and clinical/demographic variables were generally weak (R-sq value ≤0.08).

Conclusion

Findings may inform targeted interventions during the nine month to three year post diagnosis timeframe, which would enable supported self-management of symptoms.

Electronic supplementary material

The online version of this article (10.1186/s12885-018-4923-3) contains supplementary material, which is available to authorized users.

Symptom Clusters in Patients With Pancreatic Cancer Undergoing Surgical Resection: Part II

OBJECTIVES

To explore the relationship between 16 symptom clusters (SCs), clinical and demographic influencing factors, and clinical outcomes over time in patients with pancreatic cancer (PC) undergoing surgical resection.

SAMPLE & SETTING

143 patients with stage II PC undergoing surgical resection were recruited to participate in this longitudinal, exploratory study conducted at Thomas Jefferson University Hospital, a National Cancer Institute-designated cancer center.

METHODS & VARIABLES

Quality of life was measured preoperatively and at three, six, and nine months postoperatively. Statistical methods included simple linear and Cox proportional hazard regression.

RESULTS

Preoperative pain was significantly associated with the pain-gastrointestinal SC, and preoperative worry was significantly associated with the mood SC. The strongest negative association with emotional well-being across all study time points was found with the preoperative mood SC. The insomnia-digestive problems SC and the nutritional problems SC demonstrated a trend toward poor survival.

IMPLICATIONS FOR NURSING

Findings provide evidence that preoperative worry and pain are associated with SC severity and that SCs may have a detrimental effect on quality of life and survival in patients with PC undergoing surgical resection.

Polymorphism rs2682818 in miR-618 is associated with colorectal cancer susceptibility in a Han Chinese population

MicroRNAs (miRNAs), endogenous small noncoding RNAs (ncRNAs), play crucial roles in cancer development. Many studies have demonstrated that miRNAs can serve as diagnostic and therapeutic biomarkers for malignancies. Additionally, single nucleotide polymorphisms (SNPs) located in miRNA functional regions have been reported to be involved in cancer susceptibility. In this study, we investigated the associations between SNPs located in miRNA functional regions and colorectal cancer (CRC) susceptibility. We systematically screened all candidate miRNAs and their SNPs and then evaluated the relationships between the SNPs and CRC susceptibility in a Han Chinese population including 878 patients with CRC and 884 controls. Genotyping was performed by TaqMan assay. After comprehensively screening the miRNAs and SNPs, we elected to evaluate the association between SNP rs2682818 in miR‐618 and CRC susceptibility. We found that the AA and AC/AA genotypes of rs2682818 were associated with a decreased risk of CRC compared with the CC genotype (odds ratio (OR) = 0.54, 95% confidence interval (CI) = 0.37–0.79 for AA vs. CC in codominant model; OR = 0.82, 95% CI = 0.68–0.99 for AC/AA vs. CC in dominant model). However, we obtained no statically significant results in our subgroup analyses. SNP rs2682818 in miR‐618 has potential as a biomarker for individuals with high CRC susceptibility. Our findings need to be verified in studies including larger samples. Moreover, molecular functional studies of miR‐681 must be performed to confirm its relationship with CRC.