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This study aims to elucidate how self-efficacy influences cancer-related fatigue and health-related quality of life (HRQoL) in young survivors of childhood cancer. Forty-six young survivors (age range, 8–18 years) of childhood cancer who were currently in complete remission completed measures for self-efficacy (Pediatric General Self-Efficacy Scale (PedsSE)), cancer-related fatigue (Cancer-related Fatigue Score (CRFS)), and HRQoL (Pediatric Quality of Life Inventory 4.0 Generic Core Scale, Pediatric Quality of Life Inventory (PedsQL)). Structural relationships between the PedsSE and CRFS or PedsQL, including the effects of potential demographic or clinical confounders, were examined by machine learning random forest algorithms and structural equation modeling. According to the distribution of the PedsQL, six survivors with PedsQL < 70 were determined to have compromised HRQoL (referred to as “low-PedsQL survivors”). The random forest model identified six variables for the prediction of the CRFS, with the PedsSE being the most important, and eight variables for the distinction of low-PedsQL survivors, with the CRFS being the most and the PedsSE the third most important variable. The structural equation model indicated that a direct influence of the PedsSE on the PedsQL was less detectable (β = −0.049), whereas an indirect influence of the PedsSE on the PedsQL via the CRFS was evident (β = 0.333). The model explained 51% of the variation of the CRFS and 28% of the variation of the PedsQL. The PedsSE was strongly correlated with “altered mood” in the subclass of the CRFS (r = −0.470), and “altered mood” was strongly correlated with the PedsQL (r = 0.737). In conclusion, self-efficacy is a major determinant of cancer-related fatigue and influences HRQoL via cancer-related fatigue in survivors of childhood cancer. The main pathway from self-efficacy to HRQoL is thought to be via the emotional aspect of cancer-related fatigue. However, unlike adult survivors of cancer, self-efficacy for young survivors may not contribute much to self-management behaviors that maintain HRQoL.

Evidence regarding cancer-related fatigue (fatigue) has accumulated sufficiently such that recommendations for screening, evaluation, and/or management have been released recently by 4 leading cancer organizations. These evidence-based fatigue recommendations are available for clinicians, and some have patient versions; but barriers at the patient, clinician, and system levels hinder dissemination and implementation into practice. The underlying biologic mechanisms for this debilitating symptom have not been elucidated completely, hindering the development of mechanistically driven interventions. However, significant progress has been made toward methods for screening and comprehensively evaluating fatigue and other common symptoms using reliable and valid self-report measures. Limited data exist to support the use of any pharmacologic agent; however, several nonpharmacologic interventions have been shown to be effective in reducing fatigue in adults. Never before have evidence-based recommendations for fatigue management been disseminated by 4 premier cancer organizations (the National Comprehensive Cancer, the Oncology Nursing Society, the Canadian Partnership Against Cancer/Canadian Association of Psychosocial Oncology, and the American Society of Clinical Oncology). Clinicians may ask: Are we ready for implementation into practice? The reply: A variety of approaches to screening, evaluation, and management are ready for implementation. To reduce fatigue severity and distress and its impact on functioning, intensified collaborations and close partnerships between clinicians and researchers are needed, with an emphasis on system-wide efforts to disseminate and implement these evidence-based recommendations.

The objective of the study was to conduct systematic review and meta-analysis to establish the effect of exercise interventions on cancer-related fatigue (CRF) in cancer survivors, compared to non-exercise intervention controls. Trials published between January 1st 2000 and August 17th 2016 were included through PubMed database search and search of references. Eligible trials compared the effect of an exercise intervention on CRF compared to non-exercise intervention controls, with CRF as primary outcome and measured by validated self-report questionnaire, in cancer survivors not receiving palliative care. We evaluated risk of bias of individual trials following Cochrane Quality criteria. We performed a random-effects meta-analysis in the low risk of bias trials with intervention type, exercise intensity, adherence, and cancer type as moderators, and also performed meta-regression analyses and a sensitivity analysis including the high risk of bias trials. Out of 274 trials, 11 met the inclusion criteria, of which six had low risk of bias. Exercise improved CRF with large effect size (Cohen's 0.605, 95% CI 0.235-0.975) with no significant difference between types of cancer. Aerobic exercise (Δ=1.009, CI 0.222-1.797) showed a significantly greater effect than a combination of aerobic and resistance exercises (Δ=0.341, CI 0.129-0.552). Moderator and meta-regression analyses showed high adherence yielding best improvements. Exercise has a large effect on CRF in cancer survivors. Aerobic interventions with high adherence have the best result.

Cancer‐related fatigue (CRF) is one of the most common chronic symptoms experienced by cancer patients. As moxibustion is a popular traditional therapy for managing fatigue, it can be an alternative strategy to treat CRF as well. Therefore, we rigorously designed a full‐scale, multicenter, assessor‐blinded, randomized controlled trial to evaluate the efficacy and safety of moxibustion treatment for CRF. Ninety‐six subjects suffering from CRF were recruited and randomly assigned to moxibustion group, sham moxibustion group, or usual care group. Both the moxibustion group and the sham group received moxibustion treatment for 8 weeks and the usual care group did not. Brief fatigue inventory (BFI) score and Functional Assessment of Cancer Therapy‐Fatigue score were used to assess CRF at baseline and weeks 5, 9, and 13. Questionnaires for the assessment of cognitive impairment, quality of life, and Cold–Heat and Deficiency–Excess patterns were also evaluated. BFI scores significantly decreased in moxibustion group compared to the usual care group (mean difference of −1.92, p < 0.001 at week 9 and mean difference of −2.36, p < 0.001 at week 13). Although the sham group also showed significant improvement during the treatment period, only the moxibustion group showed improvement after 4 weeks of follow‐up period (mean difference of −1.06, p < 0.001). There were no serious adverse events. Our findings confirmed the efficacy and safety of moxibustion for CRF compared to usual care. We also found that moxibustion has a prolonged treatment effect during 4 weeks of follow‐up period. Moxibustion is widely used treatment method for stimulating acupuncture points and has been used for symptom management in cancer patients in East Asia. However, scientific evidence of moxibustion for the treatment of cancer‐related fatigue is still lacking. Through this full‐scale, multicenter, assessor‐blinded, randomized controlled trial, we found that 8 weeks of moxibustion treatment decreased cancer‐related fatigue more effectively than usual care.

Cancer‐related fatigue (CRF) significantly impacts the quality of life of cancer patients. This study investigates the therapeutic potential of Shenqi Fuzheng injection (SFI) in managing CRF, focusing on its mechanistic action in skeletal muscle. We utilized a CRF mouse model to examine the effects of SFI on physical endurance, monitoring activity levels, swimming times and rest periods. Proteomic analysis of the gastrocnemius muscle was performed using isobaric tags and liquid chromatography–tandem mass spectrometry to map the muscle proteome changes post‐SFI treatment. Mitochondrial function in skeletal muscle was assessed via ATP bioluminescence assay. Furthermore, the regulatory role of the hypoxia inducible factor 1 subunit alpha (HIF‐1α) signalling pathway in mediating SFI's effects was explored through western blotting. In CRF‐induced C2C12 myoblasts, we evaluated cell viability (CCK‐8 assay), apoptosis (flow cytometry) and mitophagy (electron microscopy). The study also employed pulldown, luciferase and chromatin immunoprecipitation assays to elucidate the molecular mechanisms underlying SFI's action, particularly focusing on the transcriptional regulation of PINK1 through HIF‐1α binding at the PINK1 promoter region. Our findings reveal that SFI enhances physical mobility, reduces fatigue symptoms and exerts protective effects on skeletal muscles by mitigating mitochondrial damage and augmenting antioxidative responses. SFI promotes cell viability and induces mitophagy while decreasing apoptosis, primarily through the modulation of HIF‐1α, PINK1 and p62 proteins. These results underscore SFI's efficacy in enhancing mitochondrial autophagy, thereby offering a promising approach for ameliorating CRF. The study not only provides insight into SFI's potential therapeutic mechanisms but also establishes a foundation for further exploration of SFI interventions in CRF management.

Background Fatigue prevalence and severity have been assessed in a variety of studies, yet, not in a standardized way, and predominantly in breast cancer patients. Systematic, comparative investigations across a broad range of cancer entities are lacking. Methods The FiX study systematically enrolled 2244 cancer patients across 15 entities approximately 2 years after diagnosis. Fatigue was assessed with the multidimensional EORTC QLQ‐FA12 questionnaire. Physical, emotional, cognitive, and total fatigue were compared across entities and with normative values of the general population. Differences in patients' characteristics and cancer therapy between entities were taken into account using analyses of covariance models. Results Across all entities, mean physical fatigue levels were significantly higher than age‐ and sex‐matched means of the general population for all cancer entities (all Bonferroni‐Holm adjusted P < .01). For most entities also emotional and cognitive fatigue levels were significantly higher than normative values. Age‐ and sex‐standardized physical fatigue prevalence ranged from 31.8% among prostate to 51.7% among liver cancer patients. Differences between entities could not be fully explained by sex, age, BMI, or cancer therapy. Adjusted for these factors, mean physical fatigue was higher for stomach (P = .0004), lung (P = .034), kidney (P = .0011), pancreas (P = .081), and endometrium (P = .022) compared to breast cancer patients. Adjusted means of emotional fatigue were also lowest in breast cancer patients and significantly higher in stomach (P = .0047), bladder (P = .0036), and rectal (P = .0020) cancer patients. Conclusions Physical, emotional, and cognitive fatigue is prevalent in all 15 investigated cancer entities even 2 years after diagnosis. Fatigue in breast cancer patients, the so‐far most studied group, is in the lowest range among all entities, suggesting that the extent of fatigue is still insufficiently determined. Entity‐specific problems might need to be considered in the treatment of fatigue. The FiX study compared fatigue in 2244 cancer patients across 15 tumor entities. Fatigue was prevalent even 2 years after diagnosis across all entities, but with different manifestation. We identified entity‐specific issues to be considered in the treatment of fatigue.

PurposeCancer-related fatigue (CRF) is a common and challenging late effect for many cancer survivors. Clinical trials demonstrate robust placebo effects on CRF in blinded trials. Recently, open-label placebo (OLP) has been shown to improve a variety of symptoms in other populations. We conducted a randomized controlled trial to investigate the effect of OLP on CRF in cancer survivors, and to explore biologic and psychological correlates of placebo efficacy.MethodsForty cancer survivors (92.5% female; mean age 47.3 years) were randomized to OLP or no treatment control. OLP participants were prescribed two placebo tablets twice daily, for 3 weeks. All participants completed assessments at Baseline, Day 8, and Day 22. The primary endpoint was change in CRF (FACIT-F), and secondary outcomes included exercise frequency, mood, and quality of life. We examined whether personality characteristics or a genetic variation important in dopamine catabolism (catechol-O-methyltransferase; COMT) affected the placebo response.ResultsThe OLP group reported significantly improved CRF at both Day 8 (p = 0.005) and Day 22 (p = .02), while the control group did not (ps > .05). CRF improvement differed by COMT genotype, but was not associated with personality characteristics. Marginal improvements were noted in the placebo group for some secondary outcomes (exercise frequency and quality of life), but not in the control group.ConclusionsResults demonstrate that even when administered openly, placebos improve CRF in cancer survivors and dopaminergic systems may be associated with this response. This novel research has meaningful implications for the use of OLP in symptom management for cancer survivors.

Cancer‐related fatigue (CRF) is subjective and has wide inter‐individual variability. Given that leptin is commonly associated with fatigue syndrome, its use as a potential biomarker for CRF is being investigated. The primary objective of this study was to evaluate the association between leptin and CRF in early‐stage breast cancer patients receiving chemotherapy. In a prospective cohort study, patients completed assessments at baseline (T1), during chemotherapy (T2) and after chemotherapy (T3). Levels of plasma leptin and adipokines were measured using a Luminex bead‐immunoassay and CRF was measured using the Multi‐Dimensional Fatigue Symptom Inventory‐Short Form (MFSI‐SF). Data were analysed longitudinally using a generalised estimating equation incorporating clinically relevant parameters and pro‐inflammatory adipokines. The analysis included 136 patients (mean age ± SD = 51.5 ± 8.8 years; 69.1% receiving anthracycline‐based chemotherapy). More patients experienced CRF at T3 (23.8%) than at T2 (13.8%) compared to baseline. An increase was observed in the median plasma leptin level at T2, followed by a decrease at T3 (T1: 4.07 ng/mL, T2: 4.95 ng/mL and T3: 3.96 ng/mL). In the multivariate model, the change in leptin levels over time was significantly associated with the total MFSI‐SF score (β = −0.15, P = 0.003) after adjusting for the tumour necrosis factor‐α (TNF‐α) level, anxiety, depression, insomnia, age, menopausal status and type of chemotherapy. This is the first study to report leptin as a biomarker that predicts the onset of CRF over time. Future studies are required to validate the findings.

Background Understanding cancer symptom cluster through network analyses is a new approach in oncology, revealing interconnected and influential relationships among reported symptoms. We aimed to assess these relationships using network analysis in posttreatment breast cancer patients, focusing on the five dimensions of cancer‐related fatigue (CRF), and on other common difficulties encountered by oncological patients (i.e., pain, anxiety, depression, sleep difficulties, cognitive impairments, and emotion regulation and mental adaptation difficulties). Method This study involved a complementary analysis of data from two interventional studies. Participants completed questionnaires before and after the intervention, with baseline scores being used in this article. Partial correlation network analysis modeled the relationships between symptoms in five distinct networks, each of them including one specific dimension of CRF. The core symptom in each network was identified based on the highest centrality indices. Results Depression emerged as the core symptom in all networks, strongly associated with all fatigue dimensions (partial correlations ranging from 0.183 to 0.269) except mental fatigue. These findings indicate robust connections between symptoms, as variations in depression scores directly or indirectly influence fatigue and other symptoms within the cluster. Conclusion Our results support the multidimensional aspect of CRF, and its links with other common symptoms. To effectively reduce patient CRF, interventions should address not only fatigue but also the closely related symptoms from the cluster, such as depression, given its centrality in the cluster. Trial Registration: ClinicalTrials.gov (NCT03144154 and NCT04873661). Retrospectively registered on May 1, 2017 and April 29, 2021, respectively.

Aims To investigate the effect of Self‐designed Metabolic Equivalent Exercises (SMEE) on cancer‐related fatigue in patients with gastric cancer. Methods 130 patients with gastric cancer admitted to Department of Oncology of a tertiary hospital in Shanghai were enrolled and assessed for eligibility. After excluding 1 patient who declined to participate, 129 eligible patients were randomly assigned into SMEE (n = 65) and control (n = 64) groups. The Revised Piper Fatigue Scale (RPFS) and EORTC QLQ‐C30 Quality of Life Scale were used to measure cancer‐caused fatigue and quality of life, respectively, in both groups at the first admission and after 3 months. Results After excluding patients who did not receive allocated intervention due to medical (n = 3) and personal (n = 2) reasons, those who were lost to follow‐up (n = 3), and those who had discontinued intervention (n = 2), 119 patients (64 in the SMEE group and 55 in the control group) were included for analysis. There were no statistically significant differences in the RPFS or QLQ‐C30 score between the two groups at baseline. After 3 months, the total RPFS score of the SMEE group was significantly lower than that of the control group (2.86 ± 1.75 vs. 4.65 ± 1.29, p = 0.009), with significant improvements in affective meaning (0.83 ± 0.92 vs. 1.13 ± 0.77, p = 0.044) and sensory (0.70 ± 0.71 vs. 1.00 ± 0.54, p < 0.001) subscales; in the SMEE group, QLQ‐C30 scores in somatic (2.00 ± 0.27 vs. 1.31 ± 0.26, p < 0.001), emotional (2.67 ± 0.58 vs. 2.07 ± 0.48, p < 0.001), and social (3.23 ± 0.58 vs. 1.64 ± 0.51, p < 0.001) functioning were significantly higher than those in the control group, with significant improvements in fatigue (p < 0.001), nausea/vomiting (p = 0.014), shortness of breath (p < 0.001), constipation (p < 0.001), and diarrhea (p = 0.001) dimensions. Conclusion The self‐programmed metabolic equivalent manipulation as an exercise intervention could effectively reduce the degree of cancer‐caused fatigue and improve quality of life in patients with gastric cancer. The self‐designed metabolic equivalent exercise program, which is a new form of exercise performed at intensities and which was quantitatively tailored for each individual with no restrictions on field or time, was applicable with good compliance and could effectively improve the fatigue status and quality of life in patients with GC through exercise. Adequate exercise program, which could effectively improve health‐related outcomes, should be implemented as an integral and standardized component of palliative care. Future efforts should focus on developing more personalized exercise programs and applying wearable devices for patients with GC.