Cancer-related symptom clusters, eosinophils, and survival in hepatobiliary cancer: an exploratory study

Machine Learning Model Based on the Neutrophil-to-Eosinophil Ratio Predicts the Recurrence of Hepatocellular Carcinoma After Surgery

Background

Circulating eosinophils are associated with tumor development. An eosinophil-related index, the neutrophil to eosinophil ratio (NER), can be used to predict the prognosis of patients with tumors. However, there is still a lack of efficient prognostic biomarkers for HCC. In this study, we aimed to investigate the predictive value of the NER and develop an optimal machine learning model for the recurrence of HCC patients. Patients and methods: A retrospective collection of 562 patients who underwent hepatectomy with a pathologic diagnosis of HCC was performed. The relationship between NER and progression-free survival (PFS) was investigated. We developed a new machine learning framework with 10 machine learning algorithms and their 101 combinations to select the best model for predicting recurrence after hepatectomy. The performance of the model was assessed by the area under the curve (AUC) of characteristics and calibration curves, and clinical utility was evaluated by decision curve analysis (DCA).

Results

Kaplan‒Meier curves showed that the PFS in the low NER group was significantly better than that in the high NER group. Multivariate Cox regression analysis showed that NER was an independent risk factor for recurrence after surgery. The random survival forests (RSF) model was selected as the best model that had good predictive efficacy and outperformed the TNM, BCLC, and CNLC staging systems.

Conclusion

The NER has good predictive value for postoperative recurrence in patients with hepatocellular carcinoma. Machine learning model based on NER can be used for accurate predictions.

Exploring Guolin Qigong (Mind-Body Exercise) for Improving Cancer Related Fatigue in Cancer Survivors: A Mixed Method Randomized Controlled Trial Protocol

BACKGROUND

Cancer-related fatigue and its associated symptoms of sleep disorder and depression are prevalent in cancer survivors especially among breast, lung, and colorectal cancer survivors. While there is no gold standard for treating cancer-related fatigue currently, studies of mind-body exercises such as Qigong have reported promise in reducing symptoms. This study was designed to evaluate the feasibility and effect of Guolin Qigong on cancer-related fatigue and other symptoms in breast, lung and colorectal cancer survivors while exploring their perceptions and experiences of Guolin Qigong intervention.

METHODS

This is an open-label randomized controlled trial with 60 participants divided into 2 study groups in a 1:1 ratio. The intervention group will receive 12 weeks of Guolin Qigong intervention with a 4-week follow-up while control will receive usual care under waitlist. The primary outcome will be feasibility measured based on recruitment and retention rates, class attendance, home practice adherence, nature, and quantum of missing data as well as safety. The secondary subjective outcomes of fatigue, sleep quality and depression will be measured at Week-1 (baseline), Week-6 (mid-intervention), Week-12 (post-intervention), and Week-16 (4 weeks post-intervention) while an objective 24-hour urine cortisol will be measured at Week-1 (baseline) and Week-12 (post-intervention). We will conduct a semi-structured interview individually with participants within 3 months after Week-16 (4 weeks post-intervention) to obtain a more comprehensive view of practice adherence.

DISCUSSION

This is the first mixed-method study to investigate the feasibility and effect of Guolin Qigong on breast, lung, and colorectal cancer survivors to provide a comprehensive understanding of Guolin Qigong's intervention impact and participants' perspectives. The interdisciplinary collaboration between Western Medicine and Chinese Medicine expertise of this study ensures robust study design, enhanced participant care, rigorous data analysis, and meaningful interpretation of results. This innovative research contributes to the field of oncology and may guide future evidence-based mind-body interventions to improve cancer survivorship.

TRIAL REGISTRATION

This study has been registered with ANZCTR (ACTRN12622000688785p), was approved by Medical Research Ethic Committee of University Malaya Medical Centre (MREC ID NO: 2022323-11092) and recognized by Western Sydney University Human Research Ethics Committee (RH15124).

Symptoms and symptom clusters in patients with hepatocellular carcinoma and commonly used instruments: An integrated review

Objective

This study aimed to synthesize the available knowledge of identifying hepatocellular carcinoma (HCC) symptoms and symptom clusters in patients with HCC and instruments used for these assessments to maximize symptom management.

Methods

Whittemore and Knafl's integrative review method was employed to guide a systematic search for literature in five databases (PubMed, ScienceDirect, Scopus, CINAHL, and ThaiJO). The retrieved articles were limited to those which were peer-reviewed, published between 2005 and 2022, and had English abstracts. All of identified studies were screened, extracted, and analyzed independently by two researchers.

Result

Fourteen articles were included in this review. They were grouped into three themes: symptoms, symptom assessment, and symptom clusters of HCC patients. Fatigue, lack of energy, stomach or abdominal pain/distension, loss of appetite, change in taste, sleep disturbance, distress, and sadness are the most prevalent symptoms reported in HCC patients. The different concurrent symptoms are related to the stage and treatment. Five types of symptom assessment instruments were commonly used (symptoms-specific HCC, general cancer symptom, measuring non-symptom constructs, measuring specific symptoms, such as fatigue, sleep disturbance, anxiety, and depression, and symptom assessment with clinical examination). Furthermore, the symptom clusters in HCC patients were classified into five categories: 1) pain-related symptoms, 2) gastrointestinal symptoms, 3) neuropsychological symptom clusters and sensory symptoms, 4) liver dysfunction-related symptom clusters, and 5) others (including sickness symptom clusters, fatigue clusters, location pain symptoms, and asymptomatic or symptomatic).

Conclusion

The findings of this review add to the body of knowledge on symptoms, symptom assessment, and symptom clusters in patients with HCC. Despite a variety of instruments being available, none covers all symptoms experienced by HCC patients. It is recommended that future studies should include larger and more homogenous samples to evaluate assessment instruments more precisely, avoid ambiguity in classifying symptoms into symptom clusters, and increase the effectiveness of symptom management.

Development of the RF-GSEA Method for Identifying Disulfidptosis-Related Genes and Application in Hepatocellular Carcinoma

Disulfidptosis is a newly discovered cellular programmed cell death mode. Presently, a considerable number of genes related to disulfidptosis remain undiscovered, and its significance in hepatocellular carcinoma remains unrevealed. We have developed a powerful analytical method called RF-GSEA for identifying potential genes associated with disulfidptosis. This method draws inspiration from gene regulation networks and graph theory, and it is implemented through a combination of random forest regression model and Gene Set Enrichment Analysis. Subsequently, to validate the practical application value of this method, we applied it to hepatocellular carcinoma. Based on the RF-GSEA method, we developed a disulfidptosis-related signature. Lastly, we looked into how the disulfidptosis-related signature is connected to HCC prognosis, the tumor microenvironment, the effectiveness of immunotherapy, and the sensitivity of chemotherapy drugs. The RF-GSEA method identified a total of 220 disulfidptosis-related genes, from which 7 were selected to construct the disulfidptosis-related signature. The high-disulfidptosis-related score group had a worse prognosis compared to the low-disulfidptosis-related score group and showed lower infiltration levels of immune-promoting cells. The high-disulfidptosis-related score group had a higher likelihood of benefiting from immunotherapy compared to the low-disulfidptosis-related score group. The RF-GSEA method is a powerful tool for identifying disulfidptosis-related genes. The disulfidptosis-related signature effectively predicts HCC prognosis, immunotherapy response, and drug sensitivity.

Diagnostic value of peripheral blood eosinophils for benign and malignant pulmonary nodule

This retrospective study aims to assess the diagnostic utility of peripheral blood eosinophil counts in distinguishing between benign and malignant pulmonary nodules (PNs) prior to surgical intervention. We involved patients presenting with PNs measuring ≤30 mm as the primary CT imaging finding prior to surgical procedures at the General Hospital of Northern Theater Command in Shenyang, China, during the period spanning 2021 to 2022. Multivariable logistic regression analysis and receiver operator characteristic curve analysis, along with area under the curve (AUC) calculations, were used to determine the diagnostic value of eosinophil. A total of 361 patients with PN were included, consisting of 135 with benign PN and 226 with malignant PN. Multivariable logistic regression analysis showed that eosinophil percentage (OR = 1.909, 95% CI: 1.323-2.844, P < .001), absolute eosinophil value (OR = 0.001, 95% CI: 0.000-0.452, P = .033), tumor diameter (OR = 0.918, 95% CI: 0.877-0.959, P < .001), nodule type (OR = 0.227, 95% CI: 0.125-0.400, P < .001), sex (OR = 2.577, 95% CI: 1.554-4.329, P < .001), and age (OR = 0.967, 95% CI: 0.945-0.989, P = .004) were independently associated with malignant PN. The diagnostic value of regression model (AUC [95% CI]: 0.775 [0.725-0.825]; sensitivity: 74.3%; specificity: 71.1%) was superior to eosinophil percentage (AUC [95% CI]: 0.616 [0.556-0.677]; specificity: 66.8%; specificity: 51.1%) (Delong test: P < .001). Peripheral blood eosinophil percentage might be useful for early malignant PN diagnosis, and combining that with other characteristics might improve the diagnostic performance.

Characteristic of molecular subtypes based on PANoptosis-related genes and experimental verification of hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is a type of liver cancer that originates from liver cells. It is one of the most common types of liver cancer and a leading cause of cancer-related death worldwide. Early detection and treatment can improve the HCC prognosis. Therefore, it is necessary to further improve HCC markers and risk stratification. PANoptosome is a cytoplasmic polymer protein complex that regulates a proinflammatory programmed cell death pathway called "PANoptosis". The role of PANoptosis in HCC remains unclear. In this study, the molecular changes of PANoptosis related genes (PAN-RGs) in HCC were systematically evaluated. We characterized the heterogeneity of HCC by using consensus clustering to identify two distinct subtypes. The two subtypes showed different survival rate, biological function, chemotherapy drug sensitivity and immune microenvironment. After identification of PAN-RG differential expression genes (DEGs), a prognostic model was established by Cox regression analysis using minimum absolute contraction and selection operator (LASSO), and its prognostic value was verified by Cox regression analysis, Kaplan-Meier curve and receiver operating characteristic (ROC) curve. Our own specimens were also used to further validate the prognostic significance and possible clinical value of the selected targets. Subsequently, we conducted a preliminary discussion on the reasons for the influence of the model on the prognosis through TME analysis, drug resistance analysis, TMB analysis and other studies. This study provides a new idea for individualized and precise treatment of HCC.

Excess of blood eosinophils prior to therapy correlates with worse prognosis in mesothelioma

Background

Only a fraction of patients with malignant pleural mesothelioma (MPM) will respond to chemo- or immunotherapy. For the majority, the condition will irremediably relapse after 13 to 18 months. In this study, we hypothesized that patients' outcome could be correlated to their immune cell profile. Focus was given to peripheral blood eosinophils that, paradoxically, can both promote or inhibit tumor growth depending on the cancer type.

Methods

The characteristics of 242 patients with histologically proven MPM were retrospectively collected in three centers. Characteristics included overall survival (OS), progression-free survival (PFS), overall response rate (ORR) and disease control rate (DCR). The mean absolute eosinophil counts (AEC) were determined by averaging AEC data sets of the last month preceding the administration of chemo- or immunotherapy.

Results

An optimal cutoff of 220 eosinophils/µL of blood segregated the cohort into two groups with significantly different median OS after chemotherapy (14 and 29 months above and below the threshold, p = 0.0001). The corresponding two-year OS rates were 28% and 55% in the AEC ≥ 220/µL and AEC < 220/µL groups, respectively. Based on shorter median PFS (8 vs 17 months, p < 0.0001) and reduced DCR (55.9% vs 35.2% at 6 months), the response to standard chemotherapy was significantly affected in the AEC ≥ 220/µL subset. Similar conclusions were also drawn from data sets of patients receiving immune checkpoint-based immunotherapy.

Conclusion

In conclusion, baseline AEC ≥ 220/µL preceding therapy is associated with worse outcome and quicker relapse in MPM.

The percentage of peripheral eosinophils as a sensitive marker for differentiating FIGO grade in endometrial adenocarcinomas

Objective:

Studies on eosinophils have mostly been directed to parasitic infections and allergic diseases, but the role of eosinophils in oncology has been largely ignored. Eosinophils are an important modulator of the immune response and components of the inflammatory process against the tumor. This study was performed to investigate the pre-operative peripheral blood eosinophil percentages in patients with a histopathologically diagnosed pure endometrioid type endometrial carcinoma.

Material and Methods:

Patients’ data were analyzed in two groups as present/absent according to whether there are tumor metastases in the adnexes, lymph nodes, cervical stroma, and whether there was lymphovascular space invasion. FIGO grade was taken as the basis of the tumor grade: Low-grade equated to grade 1 or 2, and high-grade equated to grade 3. The requirement for lymph node dissection was based on the Mayo criteria.

Results:

The data of a total of 268 patients were included. The mean percentage of eosinophils in high-grade patients (n=29) was 2.75±0.35, and was significantly higher than the mean percentage of eosinophils of found in low-grade patients (n=239), which was 1.79±0.09 (p=0.013). Receiver operator curve analysis showed that a cut-off eosinophil percentage of 1.95% resulted in a sensitivity of 62% and specificity of 67% (p=0.004).

Conclusion:

Eosinophil percentages, which are a simple, easily accessible, and inexpensive can be an important pre-operative predictive tool. Eosinophil percentages can be used in determining the need for surgical staging in endometrial cancer.

Diagnostic, Therapeutic, and Prognostic Value of the m6A Writer Complex in Hepatocellular Carcinoma

Hepatocellular carcinoma (HCC) has poor prognosis and is usually diagnosed only at an advanced stage. Identification of novel biomarkers is critical to early diagnosis and better prognosis for HCC patients. N6-methyladenosine (m⁶A) RNA methylation regulators play important roles in the development of many tumors. However, the m⁶A writer complex, a key executor of m⁶A methylation modification, has not been independently investigated, and its specific bioinformatics analysis has not yet been performed in HCC. In this study, we used multiple public databases to evaluate the diagnostic, therapeutic, and prognostic value of the m⁶A writers in HCC. The results showed that expression levels of METTL3, VIRMA and CBLL1 were significantly increased, while expression levels of METTL14 and ZC3H13 were significantly decreased in HCC, which was closely related to clinicopathological factors, such as tumor stage and prognosis. Bioinformatics further explored the possible underlying mechanisms by which the m⁶A writer complex are involved in activation of tumor-promoting pathways and/or inhibition of tumor-suppressing pathways, including apoptosis, cell cycle, DNA damage response and EMT. Furthermore, we showed that the m⁶A writer complex is correlated with immune cell infiltration and immunoregulator expression in HCC. In conclusion, the m⁶A writer complex may represent a promising biomarker and target that can guide targeted therapy or immunotherapy for HCC patients.

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.

Pretreatment Eosinophil Counts in Patients With Advanced or Metastatic Urothelial Carcinoma Treated With Anti-PD-1/PD-L1 Checkpoint Inhibitors

Eosinophils influence antitumor immunity and may predict response to treatment with immune checkpoint inhibitors (ICIs). To examine the association between blood eosinophil counts and outcomes in patients with advanced or metastatic urothelial carcinoma (mUC) treated with ICIs, we identified 2 ICI-treated cohorts: discovery (n=60) and validation (n=111). Chemotherapy cohorts were used as comparators (first-line platinum-based chemotherapy, n=75; second-line or more pemetrexed, n=77). The primary endpoint was overall survival (OS). Secondary endpoints were time on treatment (ToT) and progression-free survival. Univariate and multivariate analyses were performed using Cox proportional hazard models. Associations between changes in eosinophil count at weeks 2/3 and 6 after the start of ICI treatment were analyzed using landmark analyses. Baseline characteristics of the ICI cohorts were similar. In the discovery cohort, an optimal cutoff for pretreatment eosinophil count was determined [Eos-Lo: <100 cells/µL; n=9 (15%); Eos-Hi: ≥100 cells/µL; n=51 (85%)]. Eos-Lo was associated with inferior outcomes [OS: hazard ratio (HR), 3.98; 95% confidence interval (CI), 1.85-8.56; P<0.013; ToT: HR, 2.45; 95% CI, 1.17-5.10; P=0.017]. This was confirmed in the validation cohort [Eos-Lo: n=17 (15%); Eos-Hi: n=94 (85%)] (OS: HR, 2.51; 95% CI, 1.31-4.80; P=0.006; ToT: HR, 2.22; 95% CI, 1.2-3.80; P=0.004), and remained significant after adjustment for other prognostic factors. Changes in eosinophil counts at weeks 2/3 and 6 were not clearly associated with outcomes. In chemotherapy cohorts, eosinophil counts were not associated with outcomes. In conclusion, low pretreatment eosinophil count was associated with poorer outcomes in patients with mUC treated with ICIs, and may represent a new predictive biomarker.

Classifying depression using blood biomarkers: A large population study

BACKGROUND

Depression is a common mood disorder characterized by persistent low mood or lack of interest in activities. People with other chronic medical conditions such as obesity and diabetes are at greater risk of depression. Diagnosing depression can be a challenge for primary care providers and others who lack specialized training for these disorders and have insufficient time for in-depth clinical evaluation. We aimed to create a more objective low-cost diagnostic tool based on patients' characteristics and blood biomarkers.

METHODS

Blood biomarker results were obtained from the National Health and Nutrition Examination Survey (NHANES, 2007-2016). A prediction model utilizing random forest (RF) in NHANES (2007-2014) to identify depression was derived and validated internally using out-of-bag technique. Afterwards, the model was validated externally using a validation dataset (NHANES, 2015-2016). We performed four subgroup comparisons (full dataset, overweight and obesity dataset (BMI≥25), diabetes dataset, and metabolic syndrome dataset) then selected features using backward feature selection from RF.

RESULTS

Family income, Gamma-glutamyl transferase (GGT), glucose, Triglyceride, red cell distribution width (RDW), creatinine, Basophils count or percent, Eosinophils count or percent, and Bilirubin were the most important features from four models. In the training set, AUC from full, overweight and obesity, diabetes, and metabolic syndrome datasets were 0.83, 0.80, 0.82, and 0.82, respectively. In the validation set, AUC were 0.69, 0.63, 0.66, and 0.64, respectively.

CONCLUSION

Results of routine blood laboratory tests had good predictive value for distinguishing depression cases from control groups not only in the general population, but also individuals with metabolism-related chronic diseases.

[Self-reported sleep and wake disorders in patients with ostheoarthrosis and end-stage renal disease]

OBJECTIVE

This study aimed to assess subjective sleep and wake disorders (SWD) in patients with osteoarthritis and comorbid end-stage renal disease (ESRD) receiving hemodialysis (ESRD-HD) compared to patients with osteoarthritis and without chronic kidney disease (CKD) as well as to clarify of the association of subjective sleep characteristics with the levels of anxiety and depression and pain, general health score and laboratory parameters in these cohorts.

MATERIAL AND METHODS

This pilot case-control study included the patients with stage III hip osteoarthritis with ESRD-HD (n=19) and without CKD (n=19) aged 18-85 years. The patients received the consultations of orthopedic surgeon and internal medicine specialist with anthropometry and clinical and biochemical blood tests. Subjective SWD were assessed with Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale (ESS), Fatigue Severity Scale (FSS), Insomnia Severity Index (ISI), diagnostic criteria for restless legs syndrome (RLS) and Berlin questionnaire. Anxiety and depression were assessed with Hospital Anxiety and Depression Scale (HADS) and Beck Depression Inventory (BDI). Subjective general health and osteoarthritis-related pain were assessed with visual analog scales (VAS).

RESULTS

Compared to the patients with osteoarthritis and without CKD, the patients with osteoarthritis and ESRD-HD had a lower VAS score for general health (50.00 (40.00-75.00) points and 80.00 (70.00-80.00) points, p=0.014), a higher PSQI (12.0 (8.5-14.5) points and 8.0 (6.0-11.0) points, p=0.046), a higher incidence of RLS (59% and 16.8%, p=0.017) and a lower level of anxiety according to HADS (0.0 (0.0-3.0) points and 3.0 (2.0-5.5) points, p=0.025). The correlation and regression analysis showed the association of PSQI score with VAS score for general health (b= -1.7 points, p=0.002 with adjustment for age, sex and ESRD-HD), as well as the association of SWD with laboratory markers (PSQI score with creatinine level, FSS with eosinophil count, RLS with creatinine, urea and potassium levels).

CONCLUSION

The results of our study demonstrated the high incidence of SWD in patients with osteoarthritis. These SWD have complex pathogenesis and require specific approach in patients with osteoarthritis and ESRD-HD.

Innate immune cells and their interaction with T cells in hepatocellular carcinoma

Hepatocellular carcinoma (HCC) is a malignant tumor and is associated with necroinflammation driven by various immune cells, such as dendritic cells, macrophages and natural killer cells. Innate immune cells can directly affect HCC or regulate the T-cell responses that mediate HCC. In addition, innate immune cells and T cells are not isolated, which means the interaction between them is important in the HCC microenvironment. Considering the current unsatisfactory efficacy of immunotherapy in patients with HCC, understanding the relationship between innate immune cells and T cells is necessary. In the present review the roles and clinical value of innate immune cells that have been widely reported to be involved in HCC, including dendritic cells, macrophages (including kupffer cells), neutrophils, eosinophils, basophils and innate lymphoid cells and the crosstalk between the innate and adaptive immune responses in the antitumor process have been discussed. The present review will facilitate researchers in understanding the importance of innate immune cells in HCC and lead to innovative immunotherapy approaches for the treatment of HCC.

Primary tumors from mucosal barrier organs drive unique eosinophil infiltration patterns and clinical associations

Eosinophils are bone marrow-derived granulocytes that display key effector functions in allergic diseases. Nonetheless, recent data highlight important roles for eosinophils in the tumor microenvironment (TME). Eosinophils have been attributed with pleiotropic and perhaps conflicting functions, which may be attributed at least in part to variations in eosinophil quantitation in the TME. Thus, a reliable, quantitative, and robust method for the assessment of eosinophilic infiltration in the TME is required. This type of methodology could standardize the identification of these cells and promote the subsequent generation of hypothesis-driven mechanistic studies. To this end, we conducted a comprehensive analysis of multiple primary tumors from distinct anatomical sites using a standardized method. Bioinformatics analysis of 10,469 genomically profiled primary tumors revealed that eosinophil abundance within different tumors can be categorized into three groups representing tumors with high, intermediate, and low eosinophil levels. Consequently, eosinophil abundance, as well as spatial distribution, was determined in tissue tumor arrays of six tumors representing all three classifications (colon and esophagus - high; lung - intermediate; cervix, ovary, and breast - low). With the exception of breast cancer, eosinophils were mainly localized in the tumor stroma. Importantly, the tumor anatomical site was identified as the primary predictive factor of eosinophil stromal density highlighting a distinction between mucosal-barrier organs versus non-mucosal barrier organs. These findings enhance our understanding of eosinophil diversity in the TME and provide a compelling rationale for future experiments assessing the activity of these cells.

Prognostic Role of Blood Eosinophil Count in Patients with Sorafenib-Treated Hepatocellular Carcinoma

BACKGROUND

Inflammation is a long-established hallmark of liver fibrosis and carcinogenesis. Eosinophils are emerging as crucial components of the inflammatory process influencing cancer development. The role of blood eosinophils in patients with hepatocellular carcinoma receiving systemic treatment is an unexplored field.

OBJECTIVE

The objective of this study was to analyse the prognostic role of the baseline eosinophil count in patients with sorafenib-treated hepatocellular carcinoma.

PATIENTS AND METHODS

A training cohort of 92 patients with advanced- or intermediate-stage sorafenib-treated hepatocellular carcinoma and two validation cohorts of 65 and 180 patients were analysed. Overall survival and progression-free survival in relation to baseline eosinophil counts were estimated by the Kaplan-Meier method. Univariate and multivariate analyses were performed.

RESULTS

A negative prognostic impact of low baseline eosinophil counts (< 50*10⁹/L) was demonstrated in all cohorts (training cohort: hazard ratio = 50.1, 95% confidence interval 11.6-216.5, p < 0.0001 for low vs high eosinophil counts; first validation cohort: hazard ratio = 4.55, 95% confidence interval 1.24-16.65, p = 0.022; second validation cohort: hazard ratio = 3.21, 95% confidence interval 1.83-5.64, p < 0.0001). Moreover, low eosinophil counts had a negative prognostic role in patients progressing on or intolerant to sorafenib who received second-line regorafenib, but not capecitabine or best supportive care.

CONCLUSIONS

Our analysis identified baseline blood eosinophil counts as a new prognostic factor in patients with sorafenib-treated hepatocellular carcinoma. Concerning second-line therapies, eosinophil counts were associated with survival outcomes only in regorafenib-treated patients, suggesting a possible predictive role in this setting.

A new dawn for eosinophils in the tumour microenvironment

Eosinophils are evolutionarily conserved, pleotropic cells that display key effector functions in allergic diseases, such as asthma. Nonetheless, eosinophils infiltrate multiple tumours and are equipped to regulate tumour progression either directly by interacting with tumour cells or indirectly by shaping the tumour microenvironment (TME). Eosinophils can readily respond to diverse stimuli and are capable of synthesizing and secreting a large range of molecules, including unique granule proteins that can potentially kill tumour cells. Alternatively, they can secrete pro-angiogenic and matrix-remodelling soluble mediators that could promote tumour growth. Herein, we aim to comprehensively outline basic eosinophil biology that is directly related to their activity in the TME. We discuss the mechanisms of eosinophil homing to the TME and examine their diverse pro-tumorigenic and antitumorigenic functions. Finally, we present emerging data regarding eosinophils as predictive biomarkers and effector cells in immunotherapy, especially in response to immune checkpoint blockade therapy, and highlight outstanding questions for future basic and clinical cancer research.

Eosinophil accumulation predicts response to melanoma treatment with immune checkpoint inhibitors

Eosinophils have been identified as a prognostic marker in immunotherapy of melanoma and suggested to contribute to anti-tumor host defense. However, the influence of immune checkpoint inhibitors (ICI) on the eosinophil population is poorly studied. Here, we applied routine laboratory tests, multicolor flow cytometry, RNA microarray analysis, and bio-plex assay to analyze circulating eosinophils and related serum inflammatory factors in 32 patients treated with pembrolizumab or the combination of nivolumab and ipilimumab. We demonstrated that clinical responses to ICI treatment were associated with an eosinophil accumulation in the peripheral blood. Moreover, immunotherapy led to the alteration of the eosinophil genetic and activation profile. Elevated serum concentrations of IL-16 during ICI treatment were found to be associated with increased frequencies of eosinophils in the peripheral blood. Using immunohistochemistry, we observed an enhanced eosinophil degranulation and a positive correlation between eosinophil and CD8⁺ T cell infiltration of tumor tissues from melanoma patients treated with ICI. Our findings highlight additional mechanisms of ICI effects and suggest the level of eosinophils as a novel predictive marker for melanoma patients who may benefit from this immunotherapy.

Opposing roles of eosinophils in cancer

Eosinophils are a subset of granulocytes mostly known for their ability to combat parasites and induce allergy. Although they were described to be related to cancer more than 100 years ago, their role in tumors is still undefined. Recent observations revealed that they display regulatory functions towards other immune cell subsets in the tumor microenvironment or direct cytotoxic functions against tumor cells, leading to either antitumor or protumor effects. This paradoxical role of eosinophils was suggested to be dependent on the different factors in the TME. In addition, the clinical relevance of these cells has been recently addressed. In most cases, the accumulation of eosinophils both in the tumor tissue, called tumor-associated tissue eosinophilia, and in the peripheral blood were reported to be prognostic markers for a better outcome of cancer patients. In immunotherapy of cancer, particularly in therapy with immune checkpoint inhibitors, eosinophils were even shown to be a potential predictive marker for a beneficial clinical response. A better understanding of their role in cancer progression will help to establish them as prognostic and predictive markers and to design strategies for targeting eosinophils.

Postcholecystectomy syndrome: symptom clusters after laparoscopic cholecystectomy

Purpose

Postcholecystectomy syndrome (PCS) is characterized by abdominal symptoms following gallbladder removal. However, there is no consensus for the definition or treatment for PCS. The purpose of this study was to define PCS among various symptoms after laparoscopic cholecystectomy, and to identify risk factors affecting PCS.

Methods

This study was conducted at Dongguk University Ilsan Hospital and Chung-Ang University Hospital (2012–2013). Outcomes were assessed using European Organization for Research and Treatment of Cancer QLQ–C30 questionnaire. Symptom cluster for determining PCS was made by factor analysis. Cluster analysis evaluating risk factors of PCS was made by Ward methods and Dentogram.

Results

Factor analysis revealed three distinct symptom clusters, those are ‘insomnia and financial difficulties (eigenvalue, 1.707; Cronbach α, 0.190),’ ‘appetite loss and constipation (eigenvalue, 1.413; Cronbach α, 0.480),’ and ‘right upper quadrant (RUQ) pain and diarrhea (eigenvalue, 1.245; Cronbach α, 0.315).’ Among these symptom clusters, the cluster of ‘RUQ pain and diarrhea’ was determined as PCS. However, we could not find any risk factors between high symptomatic group and low symptomatic group.

Conclusion

PCS could consist of RUQ pain and diarrhea. Well-designed prospective trials are needed to determine risk factors of PCS.

Systematic review of the psychometric properties of disease-specific, quality-of-life questionnaires for patients with hepatobiliary or pancreatic cancers

AIM

To systematically review the quality of the psychometric properties of disease-specific quality-of-life questionnaires for patients with hepatobiliary or pancreatic cancers in order to help researchers and clinicians to select the most appropriate health-related quality-of-life (HRQoL) instruments.

METHODS

MEDLINE from 1950, CINAHL from 1960, EMBASE from 1980, and PsycINFO from 1967, as well as additional sources were searched. The quality of the psychometric properties of the included instruments was evaluated by using the quality criteria for measurement properties of health status questionnaires.

RESULTS

Ten studies that examined seven instruments were identified. The European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-Biliary Cancer, the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-Liver Metastases of Colorectal Cancer, the Functional Assessment of Cancer Therapy-Hepatobiliary Questionnaire, and the Quality of Life for Patients with Liver Cancer Instrument achieved satisfactory results in relation to the quality of their psychometric properties.

CONCLUSION

Several well-validated instruments exist to adequately assess disease-specific HRQoL in patients with hepatobiliary or pancreatic cancers. Further improvement of the already-existing, promising measures is recommended.

Cytokine Gene Polymorphisms Associated With Symptom Clusters in Oncology Patients Undergoing Radiation Therapy

CONTEXT

Most of the reviews on the biological basis for symptom clusters suggest that inflammatory processes are involved in the development and maintenance of the symptom clusters. However, no studies have evaluated for associations between genetic polymorphisms and common symptom clusters (e.g., mood disturbance, sickness behavior).

OBJECTIVES

Examine the associations between cytokine gene polymorphisms and the severity of three distinct symptom clusters (i.e., mood-cognitive, sickness-behavior, treatment-related) in a sample of patients with breast and prostate cancer (n = 157) at the completion of radiation therapy.

METHODS

Symptom severity was assessed using the Memorial Symptom Assessment Scale. Symptom clusters were created using exploratory factor analysis. The associations between cytokine gene polymorphisms and the symptom cluster severity scores were evaluated using regression analyses.

RESULTS

Polymorphisms in C-X-C motif chemokine ligand 8 (CXCL8), interleukin (IL13), and nuclear factor kappa beta 2 (NFKB2) were associated with severity scores for the mood-cognitive symptom cluster. In addition to interferon gamma (IFNG1), the same polymorphism in NFKB2 (i.e., rs1056890) that was associated with the mood-cognitive symptom cluster score was associated with the sickness-behavior symptom cluster. Polymorphisms in interleukin 1 receptor 1 (IL1R1), IL6, and NFKB1 were associated with severity factor scores for the treatment-related symptom cluster.

CONCLUSION

Our findings support the hypotheses that symptoms that cluster together have a common underlying mechanism and the most common symptom clusters in oncology patients are associated polymorphisms in genes involved in a variety of inflammatory processes.

Exploratory Investigation of Early Biomarkers for Chronic Fatigue in Prostate Cancer Patients Following Radiation Therapy

BACKGROUND

Fatigue is one of the most debilitating adverse effects of cancer therapy. Identifying biomarkers early during cancer therapy may help us understand the biologic underpinnings of the persistence of fatigue following therapy.

OBJECTIVE

We aimed to identify early biomarkers of fatigue by examining correlations of levels of cytokines during external beam radiation therapy (EBRT) with persistence of fatigue 1 year following treatment completion in men with nonmetastatic prostate cancer (NM-PC).

METHODS

A sample of 34 men with nonmetastatic prostate cancer scheduled to receive EBRT were followed up at baseline (T1), midpoint of EBRT (T2), and 1 year following EBRT (T3). Demographic and clinical data were obtained by chart review. The Functional Assessment of Cancer Therapy-Fatigue was administered to measure fatigue levels. Plasma cytokine levels were determined at T1 and T2 using the Bio-Rad Bio-Plex Cytokine Assay Kits.

RESULTS

Significant correlations were observed between levels of interleukin 2 (IL-3), IL-8, IL-9, IL-10, IL-16, interferon γ-induced protein 10, interferon α2, interferon γ, and stromal cell-derived factor 1α at T2 with worsening of fatigue from T1 to T3.

CONCLUSIONS

Immunological changes prior to chronic fatigue development may reflect the long-term response to radiation therapy-induced damage.

IMPLICATIONS FOR PRACTICE

Early biomarkers for chronic fatigue related to cancer therapy will help advance our understanding of the etiology of this distressing symptom and will help nurses identify patients at risk of developing chronic fatigue after cancer treatment. This information will also aid in patient education, as well as symptom management.

Advancing Symptom Science Through Symptom Cluster Research: Expert Panel Proceedings and Recommendations

An overview of proceedings, findings, and recommendations from the workshop on "Advancing Symptom Science Through Symptom Cluster Research" sponsored by the National Institute of Nursing Research (NINR) and the Office of Rare Diseases Research, National Center for Advancing Translational Sciences, is presented. This workshop engaged an expert panel in an evidenced-based discussion regarding the state of the science of symptom clusters in chronic conditions including cancer and other rare diseases. An interdisciplinary working group from the extramural research community representing nursing, medicine, oncology, psychology, and bioinformatics was convened at the National Institutes of Health. Based on expertise, members were divided into teams to address key areas: defining characteristics of symptom clusters, priority symptom clusters and underlying mechanisms, measurement issues, targeted interventions, and new analytic strategies. For each area, the evidence was synthesized, limitations and gaps identified, and recommendations for future research delineated. The majority of findings in each area were from studies of oncology patients. However, increasing evidence suggests that symptom clusters occur in patients with other chronic conditions (eg, pulmonary, cardiac, and end-stage renal disease). Nonetheless, symptom cluster research is extremely limited and scientists are just beginning to understand how to investigate symptom clusters by developing frameworks and new methods and approaches. With a focus on personalized care, an understanding of individual susceptibility to symptoms and whether a "driving" symptom exists that triggers other symptoms in the cluster is needed. Also, research aimed at identifying the mechanisms that underlie symptom clusters is essential to developing targeted interventions.

Biological Basis for the Clustering of Symptoms

OBJECTIVES

Identification of biologic pathways of symptom clusters is necessary to develop precision therapies for distressing symptoms. This review examined extant literature evaluating relationships between biomarkers and symptom clusters in cancer survivors.

DATA SOURCES

PubMed, CINAHL, Web of Science and Cochrane Library were searched using terms "biological markers" or "biomarkers" and "symptom cluster" or "symptom complex" or "multiple symptoms."

CONCLUSION

Biomarkers related to inflammation (eg, cytokines) were the most studied and showed the most significant relationships with clusters of symptoms. This review suggests that clustering of symptoms related to cancer or cancer therapy is linked to immune/inflammatory pathways.

IMPLICATIONS FOR NURSING PRACTICE

Understanding the etiology of symptom clusters may guide future nursing interventions for symptom management.

Update on Prevalence of Pain in Patients With Cancer: Systematic Review and Meta-Analysis

CONTEXT

Cancer pain has a severe impact on quality of life and is associated with numerous psychosocial responses. Recent studies suggest that treatment of cancer pain has improved during the last decade.

OBJECTIVES

The aim of this review was to examine the present status of pain prevalence and pain severity in patients with cancer.

METHODS

A systematic search of the literature published between September 2005 and January 2014 was performed using the databases PubMed, Medline, Embase, CINAHL, and Cochrane. Articles in English or Dutch that reported on the prevalence of cancer pain in an adult population were included. Titles and abstracts were screened by two authors independently, after which full texts were evaluated and assessed on methodological quality. Study details and pain characteristics were extracted from the articles with adequate study quality. Prevalence rates were pooled with meta-analysis; meta-regression was performed to explore determinants of pain prevalence.

RESULTS

Of 4117 titles, 122 studies were selected for the meta-analyses on pain (117 studies, n = 63,533) and pain severity (52 studies, n = 32,261). Pain prevalence rates were 39.3% after curative treatment; 55.0% during anticancer treatment; and 66.4% in advanced, metastatic, or terminal disease. Moderate to severe pain (numerical rating scale score ≥5) was reported by 38.0% of all patients.

CONCLUSION

Despite increased attention on assessment and management, pain continues to be a prevalent symptom in patients with cancer. In the upcoming decade, we need to overcome barriers toward effective pain treatment and develop and implement interventions to optimally manage pain in patients with cancer.

Should we cluster patients or symptoms? The myth of symptom clusters based on 'depression, insomnia, pain' and 'depression, fatigue, pain'

CONTEXT

'Depression, fatigue, pain' (DFP) and 'depression, insomnia, pain' (DIP) symptom clusters (SCs) have been proposed in cancer. These symptoms are common and co-occur, that is, they constitute clusters of patients rather than symptoms.

OBJECTIVES

The following research questions were addressed: (1) What is the frequency of co-occurrence of two symptom groups (DFP and DIP) in advanced cancer? (2) What is the degree of symptom item association within each symptom group? (3) Were either of these symptom trios associated with prognosis?

METHODS

We reanalysed a symptom data set of 1000 patients with advanced cancer. We identified the frequency of co-occurrence of two symptom groups: DFP and DIP, using both prevalence and severity data. The symptom associations were tested by χ(2) and Spearman correlations. We also determined whether either of these symptom trios were associated with a major biological outcome, that is, survival by time-to-event analyses.

RESULTS

(1) Although DFP and DIP co-occured in about a quarter of the population, they were not SCs, but rather patient clusters. (2) Many persons had only one symptom from any symptom pair, and correlation coefficients were low for all symptom pairs. (3) Neither DFP nor DIP were associated with survival.

CONCLUSIONS

Neither DFP nor DIP symptom item combinations constituted a specific cancer SC contrary to prior reports. DFP co-occurred in 27% and DIP in only 20%. Additionally, these symptom combinations were not associated with a biological outcome, that is, poor prognosis. Patient subgroups identified by shared symptom experiences alone do not identify SCs.

The relationship between pain management and psychospiritual distress in patients with advanced cancer following admission to a palliative care unit

Background

Although many cross-sectional studies have demonstrated the association between cancer pain and psychospiritual distress, the time-dependent relationship has not been fully explored. For that reason, this study aims to investigate the time-dependent relationship between psychospiritual distress and cancer pain management in advanced cancer patients.

Methods

This is a prospective observational study. Two hundred thirty-seven advanced cancer patients were recruited from a palliative care unit in Taiwan. Demographic and clinical data were retrieved at admission. Pain and psychospiritual distress (i.e.: anxiety, depression, anger, level of family and social support, fear of death) were assessed upon admission and one week later, by using a “Symptom Reporting Form”. Patients were divided into two groups according to the pain status one week post-admission (improved versus not improved groups).

Results

One hundred sixty-three (68.8 %) patients were assigned to the improved group, and 74 (31.2 %) patients were assigned to the not improved group. There were no differences in the psychospiritual variables between groups upon admission. In overall patients, all psychospiritual variables improved one week post-admission, but the improvement of depression and family/social support in the not improved group was not significant. Consistent with this, for depression scores, there was a statistically significant pain group x time interaction effect detected, meaning that the pain group effect on depression scores was dependent on time.

Conclusions

We demonstrated a time-dependent relationship between depression and pain management in advanced cancer patients. Our results suggest that poor pain management may be associated with intractable depression. The inclusion of interventions that effectively improve psychospiritual distress may contribute to pain management strategies for advanced cancer patients.

The biology of cancer-related fatigue: a review of the literature

PURPOSE

Understanding the etiology of cancer-related fatigue (CRF) is critical to identify targets to develop therapies to reduce CRF burden. The goal of this systematic review was to expand on the initial work by the National Cancer Institute CRF Working Group to understand the state of the science related to the biology of CRF and, specifically, to evaluate studies that examined the relationships between biomarkers and CRF and to develop an etiologic model of CRF to guide researchers on pathways to explore or therapeutic targets to investigate.

METHODS

This review was completed by the Multinational Association of Supportive Care in Cancer Fatigue Study Group-Biomarker Working Group. The initial search used three terms (biomarkers, fatigue, cancer), which yielded 11,129 articles. After removing duplicates, 9145 articles remained. Titles were assessed for the keywords "cancer" and "fatigue" resulting in 3811 articles. Articles published before 2010 and those with samples <50 were excluded, leaving 75 articles for full-text review. Of the 75 articles, 28 were further excluded for not investigating the associations of biomarkers and CRF.

RESULTS

Of the 47 articles reviewed, 25 were cross-sectional and 22 were longitudinal studies. More than half (about 70 %) were published recently (2010-2013). Almost half (45 %) enrolled breast cancer participants. The majority of studies assessed fatigue using self-report questionnaires, and only two studies used clinical parameters to measure fatigue.

CONCLUSIONS

The findings from this review suggest that CRF is linked to immune/inflammatory, metabolic, neuroendocrine, and genetic biomarkers. We also identified gaps in knowledge and made recommendations for future research.

Psychometric properties of a brief, clinically relevant measure of pain in patients with hepatocellular carcinoma

PURPOSE

Due to diagnosis at advanced stages, comorbidities, and the impact of treatment, patients with hepatocellular carcinoma (HCC) may experience pain. The purpose of this study was to evaluate the psychometric properties of a brief, clinically relevant measure of pain in HCC.

METHODS

We conducted a secondary data analysis from four longitudinal studies of patients with HCC (total n = 304). All patients completed the FACT-Hepatobiliary (FACT-Hep) questionnaire, and 49 patients completed the Brief Pain Inventory (BPI) Interference scale. We conducted confirmatory factor analysis (CFA), Rasch modeling, and correlational analysis to assess the psychometrics of the three items on the FACT-Hep that assess HCC-relevant pain scale.

RESULTS

Patients had an average age of 63.5 (±12.2) and were mostly male (76 %). The mean three-item pain subscale score was 8.5 ± 3.0. Seventy-four (24.3 %) patients reported no pain (score = 12). Results of a one-factor CFA supported unidimensionality of the items, and all items fit the Rasch model. An item-person map demonstrated that the three items covered all patients with non-extreme scores. Pain scores were significantly associated with baseline general health-related quality of life (FACT-General, r = 0.60, p < 0.001) and pain interference (BPI, r = -0.63, p < 0.001).

CONCLUSIONS

The three FACT-Hep pain items are unidimensional, cover the range of pain experienced by most patients with HCC, and demonstrate convergent validity. This pain subscale is, if future research demonstrates its sensitivity to change, potentially useful for HCC clinical trials.

Consistency of symptom clusters among advanced cancer patients seen at an outpatient supportive care clinic in a tertiary cancer center

OBJECTIVE

Advanced cancer patients often develop severe physical and psychological symptom clusters (SCs), but limited data exist on their consistency or severity after an outpatient interdisciplinary team consultation led by palliative care specialists. The primary aim of the study was to determine the consistency and severity of SCs in advanced cancer patients in this setting.

METHOD

A total of 1373 patients with advanced cancer who were referred to The University of Texas MD Anderson Cancer Center's Outpatient Supportive Care Center between January 2003 and October 2008 with a complete Edmonton Symptom Assessment Scale (ESAS; 0-10 scale) occurred at initial and first follow-up visit were reviewed (median 14 days, range 1-4 weeks). We used a Wilcoxon signed-rank test to determine whether symptoms changed over time, and a principal components factor analysis with varimax rotation to determine SCs at baseline and at first follow-up. The number of factors calculated was determined based upon the number of eigenvalues.

RESULTS

The patients' ratings of the following symptoms (mean, SD) at the initial and follow-up visits, respectively, were: fatigue 6.2 (2.3) and 5.7 (2.5, p < 0.0001), pain 5.4 (2.9) and 4.6 (3, p < 0.0001), nausea 2.2 (2.8) and 2.0 (2.6, p < 0.0001), depression 3.0 (2.9) and 2.5 (2.7, p < 0.0001), anxiety 3.4 (3.0) and 2.8 (2.8, p < 0.0001), drowsiness 4.8 (3.1) and 4.4 (3.1, p < 0.0001), dyspnea 3.0 (2.9) and 2.7 (2.8), p < 0.0001), loss of appetite 4.2 (2.7) and 3.9 (2.7, p < 0.0001), sleep disturbances 4.2 (2.6) and 3.8 (2.6, P < 0.0001), and well-being 4.3 (2.5) and 3.9 (2.3, p < 0.0001). Cluster composition differentiated into physical (fatigue, pain, nausea, drowsiness, dyspnea, and loss of appetite) and psychological (anxiety and depression) components at the initial visit, and these two SCs were consistent upon follow-up.

SIGNIFICANCE OF RESULTS

We conclude that SCs remain constant between baseline and near-term follow-up but that the severity of those symptoms lessened during that interval. This knowledge may allow palliative care teams to provide more targeted and higher-quality care, but further studies are needed.

Oral health-related quality of life and traumatic dental injuries in Brazilian adolescents

OBJECTIVES

To evaluate the impact of traumatic dental injuries (TDI) on oral health-related quality of life (OHRQoL) among Brazilian adolescents.

METHODS

A population-based case-control study was carried out, which was nested to a cross-sectional study with a sample of 1215 adolescents aged 11-14 years from Belo Horizonte, Brazil. OHRQoL was measured using the Brazilian version of the Child Perceptions Questionnaire (CPQ11-14 )--Impact Short Form (ISF:16). Two-step cluster analysis was performed to define cases and controls based on CPQ11-14--ISF:16 scores. This method considers the pattern of responses for each item separately and how important each item is to the formation of clusters. The case group included those adolescents who presented higher negative impact on OHRQoL (n=405), while the control group included those with lower negative impact (n=810). Two controls for each case were individually matched from the same school and gender. The main independent variable was TDI, diagnosed by the Andreasen's classification. Untreated dental caries, malocclusion, and age were confounding variables. Conditional logistic regression analysis was performed with the significance level set at 5%.

RESULTS

A multiple conditional logistic regression model demonstrates that adolescents diagnosed with fracture involving dentin and/or pulp had a 2.40-fold greater chance of presenting high negative impact on QHRQoL [95% CI=1.26-4.58; P=0.008] than those without evidence of fractures. Enamel fracture only [P=0.065] and restored fractures [P=0.072] were not statistically associated with OHRQoL.

CONCLUSIONS

Adolescents with more severe untreated TDI, such as fractures involving dentin and/or pulp, were more likely to self-report a higher negative impact on their OHRQoL than those without TDI.

Symptom clusters in Chinese patients with primary liver cancer

PURPOSE/OBJECTIVES

To derive symptom clusters and their clinical meanings in Chinese patients with primary liver cancer (PLC), to examine the factors related to the identified symptom clusters, and to validate the impact of the identified symptom clusters on patients' quality of life (QOL).

DESIGN

Cross-sectional.

SETTING

Inpatient departments at a medical center for hepatobiliary disease in China.

SAMPLE

277 patients with PLC, aged 18-77 years.

METHODS

Data were collected from a number of measures, including demographic and disease characteristics, the MD Anderson Symptom Inventory, six additional symptom items specific to PLC, and the Functional Assessment of Cancer Therapy-Hepatobiliary questionnaire. Factor analysis was used to derive symptom clusters, independent-samples t test or one-way analysis of variance was performed to identify the factors related to each symptom cluster, and multivariate regression models were applied to examine the predictive impact of the identified symptom clusters on PLC.

MAIN RESEARCH VARIABLES

Demographic and medical variables, symptom clusters, and QOL.

FINDINGS

Three symptom clusters were identified: gastrointestinal sickness, neuropsychological, and liver dysfunction. Patients who received liver protection treatment, received more than one kind of treatment, and had poorer physical performance, worse liver function, and more advanced cancer scored higher in severity across all three symptom clusters. All of the symptom clusters explained 48% of the QOL variance, and the liver dysfunction symptom cluster (adjusted R2 = 0.425) showed a superior influence.

CONCLUSIONS

The liver dysfunction symptom cluster may be unique to Chinese patients with PLC. Patients with certain demographic and disease characteristics could be at risk for experiencing severe symptom clusters. In addition, a differential impact of the symptom clusters on QOL was noted in these patients.

IMPLICATIONS FOR NURSING

The factors related to severity should be considered when managing symptom clusters. Because the predictive impacts of the three individual symptom clusters on QOL were varied and ordered in magnitude, healthcare providers should first alleviate the primary symptom cluster. This approach could be cost-effective and improve QOL.

Clinical and socio-demographic predictors of postoperative vital exhaustion in patients after cardiac surgery

BACKGROUND

Vital exhaustion, a psychological state characterized by extreme fatigue, is an independent predictor of future cardiac events. However, the attributes of vital exhaustion following coronary artery bypass (CABG) surgery are poorly understood.

OBJECTIVE

The study objective was to assess correlates of vital exhaustion following CABG surgery.

METHODS

In a descriptive, exploratory study, 42 patients who had CABG surgery were evaluated for exhaustion 4-8 weeks post-hospital discharge. Demographic and clinical data were obtained from self-report and medical chart review.

RESULTS

Of the total sample (mean age 67.9 ± 12.5, 90% male, 70% Caucasian, 3.12 ± 1.3 grafts), approximately 41% reported exhaustion. When compared to their exhausted post-CABG counterpart, non-exhausted post-CABG patients had a significantly higher frequency of preoperative insulin use. Exhausted patients were significantly more likely to have higher left ventricular ejection fraction ([LVEF], OR: 1.07, p = 0.04), and elevated hemoglobin (OR: 2.98, p = 0.03) and eosinophils (OR: 1.02, p = 0.02) than those who were not exhausted.

CONCLUSION

Clinicians should evaluate all patients for exhaustion post-CABG surgery; patients with elevated LVEF, hemoglobin, and eosinophil levels warrant increased scrutiny.

Expectations of pain and accompanying symptoms during cancer treatment

Patients' experience of cancer pain varies throughout the course of the disease. It is important to recognize that patients may experience more than one type of pain, and pain often occurs in the presence of other symptoms. Controlling pain requires a multi-faceted approach to assessing and treating the underlying mechanisms. This article reviews the pain mechanisms responsible for pain during cancer treatment and how expectations of pain and associated symptoms contribute to the pain experience.

Pain, depression, and fatigue as a symptom cluster in advanced cancer

CONTEXT

Pain, depression, and fatigue are common symptoms in cancer populations. They often coexist and have been suggested as a specific symptom cluster. Systemic inflammation (SI) may be a possible common mechanism.

OBJECTIVE

This study examined whether pain, depression, and fatigue exist as a symptom cluster in advanced cancer patients with cachexia and might be related to the presence of SI.

METHODS

Secondary data analysis was undertaken of two clinical trials in patients with cancer cachexia (n = 654). Pain, depression, and fatigue were assessed using the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire-C30. Plasma C-reactive protein (CRP) was measured as a marker of SI in a subgroup (n = 436). Multivariate analysis and a series of regression analyses were undertaken relating pain, depression, fatigue, and CRP.

RESULTS

Pain, depression, and fatigue clustered, with between two and four times as many patients having all three symptoms as would be expected if the symptoms only coexist by chance (P < 0.001). CRP was not related to the symptom cluster. There was a strong relationship between the pattern of symptoms and physical functioning (P < 0.001).

CONCLUSION

Pain, depression, and fatigue is an identifiable symptom cluster in a cohort of cachexic cancer patients and is associated with reduced physical functioning.