Increased Risk of Suicide among Cancer Survivors Who Developed a Second Malignant Neoplasm

Background. Cancer diagnosis entails substantial psychological distress and is associated with dramatically increased risks of suicidal behaviors. However, little is known about the suicide risk among cancer survivors who developed a second malignant neoplasm (SMN). Methods. Using the Surveillance, Epidemiology, and End Results database, we conducted a population-based cohort study involving 7,824,709 patients with first malignant neoplasm (FMN). We measured the hazard ratios (HRs) of suicide death after receiving a SMN diagnosis using Cox proportional hazard models, as compared with patients with FMN. The comparison with the US population was achieved by calculating standardized mortality ratios (SMRs). Results. Totally 685,727 FMN patients received a diagnosis of SMN during follow-up, and we in total identified 10,930 and 937 suicide deaths among FMN and SMN patients, respectively. The HR of suicide deaths was 1.23 (95% confidence interval (CI), 1.14–1.31) after a SMN diagnosis, compared with FMN patients, after adjusting for sociodemographic factors, tumor characteristics, and cancer treatment. As compared with the general population, while both SMN and FMN patients suffered an increased risk of suicide deaths, the excess risk was higher among SMN patients than FMN patients (age-, sex-, and calendar-year-adjusted SMR 1.65 (95% CI 1.54–1.75) vs. 1.29 (95% CI 1.26–1.31); P difference < 0.0001 ). Notably, across different time periods, we observed the greatest risk elevation during the first 3 months after a cancer diagnosis. Conclusions. Compared with either patients with FMN or the general population, cancer survivors who received a SMN diagnosis were at increased risk of suicide death. The risk elevation was most prominent soon after the cancer diagnosis, highlighting the necessity of providing timely psychological support to cancer survivors with a SMN.

Risk Assessment on Suicide Death and Attempt among Chinese Rural Youths Aged 15–34 Years

Background: Although many suicide risk assessment tools are available in the world, their validity is not adequately assessed. In this study, we aimed to develop and evaluate a suicide risk assessment model among Chinese rural youths aged 15–34 years. Method: Subjects were 373 suicide deaths and 507 suicide attempters aged 15–34 years in three Chinese provinces (Shandong, Liaoning, and Hunan). Information about the community residents was also collected as the control groups. Social-demographic, social and psychological variables were examined for the suicides, suicide attempters, and community residents. Logistic regressions based on subjects from Shandong and Liaoning provinces were conducted to establish the suicide risk assessment models. Receiver operating characteristic (ROC) curves were drawn, and area under the ROC curves (AUC) were calculated to show how well the models separated the group being tested into those with and without suicide attempt or suicide. Results: The assessment model for suicide death included education years (OR = 0.773, p < 0.001), agricultural worker (OR = 2.091, p < 0.05), physical health (OR = 0.445, p < 0.05), family suicide history (OR = 6.858, p < 0.001), negative life events (OR = 1.340, p < 0.001), hopelessness (OR = 1.171, p < 0.001), impulsivity (OR = 1.151, p < 0.001), and mental disorder (OR = 8.384, p < 0.001). All these factors were also supported in the assessment model for suicide attempt, with an extension of very poor economic status (OR = 1.941, p < 0.01) and social interaction (OR = 0.855, p < 0.001). The AUC was 0.950 and 0.857 for the sample used to establish the assessment models of suicide death and attempt, respectively. The AUC was 0.967 and 0.942 for the sample used to verify the established assessment models of suicide death and attempt, respectively. Conclusions: Compared with some other assessment tools, the models for suicide death and attempt in the current study performed well among Chinese rural youths aged 15–34 years. A reliable suicide risk assessment approach, which includes multiple risk factors, should be evaluated in various cultures and populations.

Mapping the genetic architecture of suicide attempt and suicide death using polygenic risk scores for clinically-related psychiatric disorders and traits

Background Suicidal behavior is moderately heritable and a consequence of a combination of the diathesis traits for suicidal behavior and suicide-related major psychiatric disorders. Here, we sought to examine shared polygenic effects between various psychiatric disorders/traits and suicidal behavior and to compare the shared polygenic effects of various psychiatric disorders/traits on non-fatal suicide attempt and suicide death. Methods We used our genotyped European ancestry sample of 260 non-fatal suicide attempters, 317 suicide decedents and 874 non-psychiatric controls to test whether polygenic risk scores (PRSs) obtained from large GWASs for 22 suicide-related psychiatric disorders/traits were associated with suicidal behavior. Results were compared between non-fatal suicide attempt and suicide death in a sensitivity analysis. Results PRSs for major depressive disorder, bipolar disorder, schizophrenia, ADHD, alcohol dependence, sensitivity to environmental stress and adversity, educational attainment, cognitive performance, and IQ were associated with suicidal behavior (Bonferroni-corrected p < 2.5 × 10−4). The polygenic effects of all 22 psychiatric disorders/traits had the same direction (p for binomial tests = 4.8 × 10−7) and were correlated (Spearman's ρ = 0.85) between non-fatal suicide attempters and suicide decedents. Conclusions We found that polygenic effects for major psychiatric disorders and diathesis-related traits including stress responsiveness and intellect/cognitive function contributed to suicidal behavior. While we found comparable polygenic architecture between non-fatal suicide attempters and suicide decedents based on correlations with PRSs of suicide-related psychiatric disorders/traits, our analyses are limited by small sample size resulting in low statistical power to detect difference between non-fatal suicide attempt and suicide death.

Suicide and Psychosis: Results From a Population-Based Cohort of Suicide Death (N = 4380)

Approximately 5% of individuals with schizophrenia die from suicide. However, suicide in psychosis is still poorly characterized, partly due to a lack of adequate population-based clinical or genetic data on suicide death. The Utah Suicide Genetics Research Study (USGRS) provides a large population-based cohort of suicide deaths with medical record and genome-wide data (N = 4380). Examination of this cohort identified medical and genetic risks associated with type of suicide death and investigated the relative contributions of psychotic and affective symptoms to method of suicide. Key differences in method of suicide (common vs. atypical methods) were tested in relation to lifetime psychosis and genome-wide genetic risk for schizophrenia, major depressive disorder, and neuroticism. Consistent with previous studies, psychosis-spectrum disorders were observed to be common in suicide (15% of the cohort). Individuals with psychosis more frequently died from atypical methods, with rates of atypical suicide increasing across the schizophrenia spectrum. Genetic risk for schizophrenia was also associated with atypical suicide, regardless of clinical diagnosis, though this association weakened when filtering individuals with schizophrenia from the analysis. Follow-up examination indicated that high rates of atypical suicide observed in schizophrenia are not likely accounted for by restricted access to firearms. Overall, better accounting for the increased risk of atypical suicide methods in psychosis could lead to improved prevention strategies in a large portion of the suicide risk population.