Predictors and Consequences of Cancer and Non-Cancer-Related Pain in Those Diagnosed with Primary and Metastatic Cancers.

OBJECTIVES: The aims of the study were to (1) describe types of pain in cancer patients, (2) examine the predictors and consequences of pain, (3) investigate the association between type of pain and survival, and (4) examine potential biological mediators of pain and survival. METHODS: This was a secondary analysis of baseline data from patients diagnosed with cancer. Patients answered questionnaires that assessed sociodemographic characteristics, pain, depression, sleep, and fatigue. Blood was collected and cytokine assays were performed. Analysis of variance, Kaplan-Meier, and Cox regression survival analyses were used to test the aims. RESULTS: Of the 779 patients diagnosed with cancer, the mean age was 63.5 years, 57.8% male, and 90.6% White. Of those who reported pain (total 70.3%), 46.5% stated their pain was cancer-related while 53.5% stated their pain was non-cancer-related. While both cancer and non-cancer-related pain was associated with depressive symptoms, fatigue, and sleep duration, those with cancer-related pain had significantly higher rates of depressive symptoms (F(1,516) = 21.217, p < 0.001) and fatigue (F(1,516) = 30.973, p < 0.001) but not poorer sleep (F(1,497) = 0.597, p = 0.440). After adjusting for sociodemographic, disease-related characteristics, depression, sleep duration, and morphine milligram equivalent, patient reports of cancer-related pain were significantly associated with poorer survival (HR = 0.646, 95% CI = 0.459-0.910, p = 0.012) compared to those with non-cancer-related pain, which was not associated with survival (HR = 1.022, 95% CI = 0.737-1.418, p = 0.896). Cytokines did not significantly mediate the link between pain and survival. CONCLUSION: While nearly half of the pain reported was cancer-related, both types of pain resulted in greater symptom burden, but only cancer-related pain was associated with survival.

Social Support is Associated with Survival in Patients Diagnosed with Gastrointestinal Cancer.

PURPOSE: The aim of this study was to examine the link between psychological, behavioral, and social factors and survival in patients diagnosed with gastrointestinal cancer. METHODS: A cohort of gastrointestinal cancer patients were administered a battery of questionnaires that assessed trauma, depression, social support, sleep, diet, exercise, quality of life, tobacco and alcohol use, pain, and fatigue. Analyses included Pearson's correlations, analyses of variance, Kaplan Meier survival, and Cox regression analyses. RESULTS: Of the 568 patients, the majority were male (57.9%) and Caucasian (91.9%), with a mean age of 61 (S.D. = 10.7). The level of perceived social support was comparable to patients with other medical conditions. Sociodemographic predictors of social support included the number of years of education (r = 0.109, p = 0.05), marital status (F(6,387) = 5.465, p ≤ 0.001), and whether the patients' income met the family's basic needs (F(1,377) = 25.531, p < 0.001). Univariate analyses revealed that older age (p < 0.001), male gender (p = 0.007), being black (p = 0.005), diagnosis of hepatocellular carcinoma (p = 0.046), higher body mass index (p = 0.022), larger tumor size (p = 0.032), initial treatment including chemotherapy rather than surgery (p < 0.001), and lower level of perceived social support (p = 0.037) were associated with poorer survival. Using multivariate Cox regression and adjusting for all factors found to be significant in univariate survival analyses, older age (p = 0.024) and lower perceived social support (HR = 0.441, 95% CI = 0.233, 0.833; p = 0.012) were the factors that remained significantly associated with poorer survival. CONCLUSION: There are several biological and psychosocial factors that predict cancer mortality. Social support appears to be a robust factor affecting mortality in gastrointestinal cancer patients.