Changes in symptom clusters in patients undergoing radiation therapy

The goals of the study were to determine the occurrence rates for and the severity of symptoms at the middle, end, and 1 month after the completion of radiation therapy (RT), to determine the number and types of symptom clusters at these three time points, and to evaluate for changes over time in these symptom clusters. Symptom occurrence and severity were evaluated using the Memorial Symptom Assessment Scale (MSAS) in a sample of patients (n = 160) who underwent RT for breast or prostate cancer. At each time point, an exploratory factor analysis was done to determine the number of symptom clusters (i.e., symptom factors) based on the MSAS symptom severity ratings. The majority of the patients were male and married with a mean age of 61.1 years. The five symptoms with the highest occurrence rates across all three time points were lack of energy, pain, difficulty sleeping, feeling drowsy, and sweats. Although the number of symptoms and the specific symptoms within each symptom cluster were not identical across the three time points, three relatively similar symptom clusters (i.e., “mood-cognitive” symptom cluster, “sickness-behavior” symptom cluster, “treatment-related”, or “pain” symptom cluster) were identified in this sample. The internal consistency coefficients for the mood-cognitive symptom cluster and sickness-behavior symptom cluster were adequate at ≥0.68. Three relatively stable symptom clusters were found across RT. The majority of the symptom cluster severity scores were significantly higher in patients with breast cancer compared to patients with prostate cancer

Large expert-curated database for benchmarking document similarity detection in biomedical literature search

Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical research.Peer reviewe

31st Annual Meeting and Associated Programs of the Society for Immunotherapy of Cancer (SITC 2016) : part two

Background The immunological escape of tumors represents one of the main ob- stacles to the treatment of malignancies. The blockade of PD-1 or CTLA-4 receptors represented a milestone in the history of immunotherapy. However, immune checkpoint inhibitors seem to be effective in specific cohorts of patients. It has been proposed that their efficacy relies on the presence of an immunological response. Thus, we hypothesized that disruption of the PD-L1/PD-1 axis would synergize with our oncolytic vaccine platform PeptiCRAd. Methods We used murine B16OVA in vivo tumor models and flow cytometry analysis to investigate the immunological background. Results First, we found that high-burden B16OVA tumors were refractory to combination immunotherapy. However, with a more aggressive schedule, tumors with a lower burden were more susceptible to the combination of PeptiCRAd and PD-L1 blockade. The therapy signifi- cantly increased the median survival of mice (Fig. 7). Interestingly, the reduced growth of contralaterally injected B16F10 cells sug- gested the presence of a long lasting immunological memory also against non-targeted antigens. Concerning the functional state of tumor infiltrating lymphocytes (TILs), we found that all the immune therapies would enhance the percentage of activated (PD-1pos TIM- 3neg) T lymphocytes and reduce the amount of exhausted (PD-1pos TIM-3pos) cells compared to placebo. As expected, we found that PeptiCRAd monotherapy could increase the number of antigen spe- cific CD8+ T cells compared to other treatments. However, only the combination with PD-L1 blockade could significantly increase the ra- tio between activated and exhausted pentamer positive cells (p= 0.0058), suggesting that by disrupting the PD-1/PD-L1 axis we could decrease the amount of dysfunctional antigen specific T cells. We ob- served that the anatomical location deeply influenced the state of CD4+ and CD8+ T lymphocytes. In fact, TIM-3 expression was in- creased by 2 fold on TILs compared to splenic and lymphoid T cells. In the CD8+ compartment, the expression of PD-1 on the surface seemed to be restricted to the tumor micro-environment, while CD4 + T cells had a high expression of PD-1 also in lymphoid organs. Interestingly, we found that the levels of PD-1 were significantly higher on CD8+ T cells than on CD4+ T cells into the tumor micro- environment (p < 0.0001). Conclusions In conclusion, we demonstrated that the efficacy of immune check- point inhibitors might be strongly enhanced by their combination with cancer vaccines. PeptiCRAd was able to increase the number of antigen-specific T cells and PD-L1 blockade prevented their exhaus- tion, resulting in long-lasting immunological memory and increased median survival

Lung cancer stigma, depression, and quality of life among ever and never smokers.

PurposeIn 2010, lung cancer is expected to be the leading cause of cancer death in both men and women. Because survival rates are increasing, an evaluation of the effects of treatment on quality of life (QOL) is an important outcome measure. In other diseases, stigma is known to have a negative impact on health status and QOL and be amenable to intervention. This is the first study to compare levels of lung cancer stigma (LCS) and relationships between LCS, depression, and QOL in ever and never smokers.MethodA total of 192 participants with a self-report diagnosis of lung cancer completed questionnaires online.ResultsStrong associations in the expected directions, were found between LCS and depression (r&nbsp;=&nbsp;0.68, p&nbsp;&lt;&nbsp;0.001) and QOL (r&nbsp;=&nbsp;-0.65, p&nbsp;&lt;&nbsp;0.001). No significant differences were found in demographic characteristics or study variables between ever smokers and never smokers. A simultaneous multiple regression with 5 independent variables revealed an overall model that explained 62.5% of the total variance of QOL (F5,168&nbsp;=&nbsp;56.015, P&nbsp;&lt;&nbsp;0.001).ConclusionsAfter removing age, gender, and smoking status, depression explained 22.5% of the total variance of QOL (F4,168&nbsp;=&nbsp;100.661, p&nbsp;&lt;&nbsp;0.001). It is expected that depression and LCS would share some of the explanation of the variance of QOL, the correlation between LCS and depression is 0.629 (p&nbsp;&lt;&nbsp;0.001), however, LCS provides a unique and significant explanation of the variance of QOL over and above that of depression, age, gender, and smoking status, by 2.1% (p&nbsp;&lt;&nbsp;0.001)

Lung cancer stigma, depression, and quality of life among ever and never smokers.

PurposeIn 2010, lung cancer is expected to be the leading cause of cancer death in both men and women. Because survival rates are increasing, an evaluation of the effects of treatment on quality of life (QOL) is an important outcome measure. In other diseases, stigma is known to have a negative impact on health status and QOL and be amenable to intervention. This is the first study to compare levels of lung cancer stigma (LCS) and relationships between LCS, depression, and QOL in ever and never smokers.MethodA total of 192 participants with a self-report diagnosis of lung cancer completed questionnaires online.ResultsStrong associations in the expected directions, were found between LCS and depression (r = 0.68, p &lt; 0.001) and QOL (r = -0.65, p &lt; 0.001). No significant differences were found in demographic characteristics or study variables between ever smokers and never smokers. A simultaneous multiple regression with 5 independent variables revealed an overall model that explained 62.5% of the total variance of QOL (F5,168 = 56.015, P &lt; 0.001).ConclusionsAfter removing age, gender, and smoking status, depression explained 22.5% of the total variance of QOL (F4,168 = 100.661, p &lt; 0.001). It is expected that depression and LCS would share some of the explanation of the variance of QOL, the correlation between LCS and depression is 0.629 (p &lt; 0.001), however, LCS provides a unique and significant explanation of the variance of QOL over and above that of depression, age, gender, and smoking status, by 2.1% (p &lt; 0.001)

Measuring stigma in people with lung cancer: psychometric testing of the cataldo lung cancer stigma scale.

Purpose/objectivesto develop an instrument to measure the stigma perceived by people with lung cancer based on the HIV Stigma Scale.Designpsychometric analysis.Settingonline survey.Sample186 patients with lung cancer.Methodsan exploratory factor analysis with a common factor model using alpha factor extraction.Main research variableslung cancer stigma, depression, and quality of life.Findingsfour factors emerged: stigma and shame, social isolation, discrimination, and smoking. Inspection of unrotated first-factor loadings showed support for a general stigma factor. Construct validity was supported by relationships with related constructs: self-esteem, depression, social support, and social conflict. Coefficient alphas ranging from 0.75-0.97 for the subscales (0.96 for stigma and shame, 0.97 for social isolation, 0.9 for discrimination, and 0.75 for smoking) and 0.98 for the 43-item Cataldo Lung Cancer Stigma Scale (CLCSS) provided evidence of reliability. The final version of the CLCSS was 31 items. Coefficient alpha was recalculated for the total stigma scale (0.96) and the four subscales (0.97 for stigma and shame, 0.96 for social isolation, 0.92 for discrimination, and 0.75 for smoking).Conclusionsthe CLCSS is a reliable and valid measure of health-related stigma in this sample of people with lung cancer.Implications for nursingthe CLCSS can be used to identify the presence and impact of lung cancer stigma and allow for the development of effective stigma interventions for patients with lung cancer

Measuring stigma in people with lung cancer: psychometric testing of the cataldo lung cancer stigma scale.

Purpose/objectivesto develop an instrument to measure the stigma perceived by people with lung cancer based on the HIV Stigma Scale.Designpsychometric analysis.Settingonline survey.Sample186 patients with lung cancer.Methodsan exploratory factor analysis with a common factor model using alpha factor extraction.Main research variableslung cancer stigma, depression, and quality of life.Findingsfour factors emerged: stigma and shame, social isolation, discrimination, and smoking. Inspection of unrotated first-factor loadings showed support for a general stigma factor. Construct validity was supported by relationships with related constructs: self-esteem, depression, social support, and social conflict. Coefficient alphas ranging from 0.75-0.97 for the subscales (0.96 for stigma and shame, 0.97 for social isolation, 0.9 for discrimination, and 0.75 for smoking) and 0.98 for the 43-item Cataldo Lung Cancer Stigma Scale (CLCSS) provided evidence of reliability. The final version of the CLCSS was 31 items. Coefficient alpha was recalculated for the total stigma scale (0.96) and the four subscales (0.97 for stigma and shame, 0.96 for social isolation, 0.92 for discrimination, and 0.75 for smoking).Conclusionsthe CLCSS is a reliable and valid measure of health-related stigma in this sample of people with lung cancer.Implications for nursingthe CLCSS can be used to identify the presence and impact of lung cancer stigma and allow for the development of effective stigma interventions for patients with lung cancer

Changes in symptom clusters in patients undergoing radiation therapy.

Goals of workThe goals of the study were to determine the occurrence rates for and the severity of symptoms at the middle, end, and 1 month after the completion of radiation therapy (RT), to determine the number and types of symptom clusters at these three time points, and to evaluate for changes over time in these symptom clusters.Materials and methodsSymptom occurrence and severity were evaluated using the Memorial Symptom Assessment Scale (MSAS) in a sample of patients (n = 160) who underwent RT for breast or prostate cancer. At each time point, an exploratory factor analysis was done to determine the number of symptom clusters (i.e., symptom factors) based on the MSAS symptom severity ratings.Main resultsThe majority of the patients were male and married with a mean age of 61.1 years. The five symptoms with the highest occurrence rates across all three time points were lack of energy, pain, difficulty sleeping, feeling drowsy, and sweats. Although the number of symptoms and the specific symptoms within each symptom cluster were not identical across the three time points, three relatively similar symptom clusters (i.e., "mood-cognitive" symptom cluster, "sickness-behavior" symptom cluster, "treatment-related", or "pain" symptom cluster) were identified in this sample. The internal consistency coefficients for the mood-cognitive symptom cluster and sickness-behavior symptom cluster were adequate at &gt; or =0.68.ConclusionsThree relatively stable symptom clusters were found across RT. The majority of the symptom cluster severity scores were significantly higher in patients with breast cancer compared to patients with prostate cancer