Association between depressive disorders and risk of breast cancer recurrence after curative surgery

Mechanisms of stress-attributed breast cancer incidence and progression

Breast cancer is the most commonly diagnosed cancer and the second leading cause of cancer deaths in women, with psychosocial stress commonly cited by patients as one of its causes. While there is conflicting epidemiological evidence investigating the association between psychosocial stress and breast cancer incidence and progression, there is reason to believe that interventions aimed at reducing stress pharmacologically or psychologically may improve breast cancer outcomes. The aim of this review is to discuss the molecular and biological mechanisms of stress-attributed breast cancer incidence and progression, including the induction of the hypothalamic-pituitary-adrenal (HPA) axis and the sympathetic nervous system (SNS), as well as decreased immune function and stress hormone-induced resistance to chemotherapy. Moreover, these mechanisms have been cited as potential therapeutic targets of pharmacologic and psychological interventions that may improve the care, well-being and survival of breast cancer patients. Further research is recommended to investigate whether interventions in the primary care setting for women with risk factors for breast cancer development may lead to a decreased incidence of invasive breast tumors.

Prevalence and severity of anxiety and depression in Chinese patients with breast cancer: a systematic review and meta-analysis

Context

Anxiety/depression in breast cancer (BC) is common around the world, and Chinese BC patients should not be ignored. The prevalence of anxiety and depression among BC patients are various in different regions of China, but no clear summarization has been made.

Purpose

This meta-analysis aimed to evaluate the prevalence and severity of anxiety and depression among breast cancer (BC) patients in China.

Methods

A literature search on PubMed, Web of Science, Embase, CINAHL, Scopus, PsycINFO, Cochrane database library, CNKI, Wanfang, and SinoMed was conducted up to 29 December 2021. The effect size (ES) or standard mean difference (SMD) and the corresponding 95% confidence intervals (CIs) for the prevalence and severity of anxiety/depression were calculated using the STATA 12.0 software.

Results

A total of 63 identified studies were included, containing a total of 53,513 Chinese women confirmed breast cancer. The results showed a high pooled prevalence of anxiety (38%, 95% CI, 27-50%, I2 = 99.4%, p < 0.001) and depression (38%, 95% CI, 33-44%, I2 = 99.2%, p < 0.001) among Chinese BC patients. Moreover, both anxiety (SMD = 0.30, 95% CI, 0.08-0.53, I2 = 91.6%, p < 0.001) and depression (SMD = 0.25, 95% CI, -0.05-0.55, I2 = 95.3%, p < 0.001) in BC patients were more serious than those in healthy controls, but not significantly different from patients with other diseases. Specifically, among the six regions included, the prevalence of anxiety and depression were both the highest in Northeast China, obviously superior than the second-highest region.

Conclusion

The study showed high levels of anxiety and depression among BC patients in China, especially those in the northeast. Clinicians and researchers should pay attention to the psychological problems of patients with breast cancer and regard it as one of the important prognostic outcomes of patients.

Systematic review registration

https://www.crd.york.ac.uk/prospero/index.php, PROSPERO: CRD42020151752.

5-year recurrence prediction after hepatocellular carcinoma resection: deep learning vs. Cox regression models

Deep learning algorithms have yet to be used for predicting clinical prognosis after cancer surgery. Therefore, this study compared performance indices and permutation importance of potential confounders in three models for predicting 5-year recurrence after hepatocellular carcinoma (HCC) resection: a deep-learning deep neural network (DNN) model, a recurrent neural network (RNN) model, and a Cox proportional hazard (CPH) regression model. Data for 725 patients who had received HCC resection at three medical centers in southern Taiwan between April, 2011, and December, 2015, were randomly divided into three datasets: a training dataset containing data for 507 subjects was used for model development, a testing dataset containing data for 109 subjects was used for internal validation, and a validating dataset containing data for 109 subjects was used for external validation. Feature importance analysis was also performed to identify potential predictors of recurrence after HCC resection. Univariate Cox proportional hazards regression analyses were performed to identify potential significant predictors of 5-year recurrence after HCC resection, which were included in the forecasting models (P < 0.05). All performance indices for the DNN model were significantly higher than those for the RNN model and the conventional CPH model (P < 0.001). The most important potential predictor of 5-year recurrence after HCC resection was surgeon volume followed by, in order of importance, hospital volume, preoperative Beck Depression Scale score, preoperative Beck Anxiety Scale score, co-residence with family, tumor stage, and tumor size. The feature importance analysis performed to investigate interpretability in this study elucidated the potential use of deep learning models for predicting recurrence after HCC resection and for identifying predictors of recurrence. Further experiments using the proposed DNN model would clarify its potential uses for developing, promoting, and improving health policies for treating HCC patients after surgery.

Stress in Metastatic Breast Cancer: To the Bone and Beyond

Breast cancer (BRCA) remains as one the most prevalent cancers diagnosed in industrialised countries. Although the overall survival rate is high, the dissemination of BRCA cells to distant organs correlates with a significantly poor prognosis. This is due to the fact that there are no efficient therapeutic strategies designed to overcome the progression of the metastasis. Over the past decade, critical associations between stress and the prevalence of BRCA metastases were uncovered. Chronic stress and the concomitant sympathetic hyperactivation have been shown to accelerate the progression of the disease and the metastases incidence, specifically to the bone. In this review, we provide a summary of the sympathetic profile on BRCA. Additionally, the current knowledge regarding the sympathetic hyperactivity, and the underlying adrenergic signalling pathways, involved on the development of BRCA metastasis to distant organs (i.e., bone, lung, liver and brain) will be revealed. Since bone is a preferential target site for BRCA metastases, greater emphasis will be given to the contribution of α2- and β-adrenergic signalling in BRCA bone tropism and the occurrence of osteolytic lesions.

Association of Insomnia, Depressive Disorders, and Mood Disorders as Risk Factors With Breast Cancer: A Nationwide Population-Based Cohort Study of 232,108 Women in Taiwan

Background

Insomnia, depressive disorders, and to a more general view, mood disorders are raising people’s concerns and causing disability of life. Herein, we try to seek the association of such illnesses with subsequent breast cancer.

Methods

This population-based, retrospective cohort study used data from the Taiwan National Health Insurance Research Database. This study included 232,108 women diagnosed with insomnia, depressive disorders, and mood disorders from January 1, 2000 to December 31, 2013. Physician diagnosed insomnia, depressive disorders, or mood disorders using outpatient and inpatient records before diagnosis of breast cancer. Cox proportional hazards regression analysis is adjusted for women with insomnia, depressive disorders, mood disorders, and other factors like insured amount, urbanization, and comorbidities such as having subsequent breast cancer.

Results

Sleep medication was associated with a significantly increased incidence rate of breast cancer (aHR = 1.23 (95% CI = 1.13, 1.35), p < 0.001). Insomnia was associated with significant increased hazard of breast cancer (aHR = 1.16 (95% CI = 1.07, 1.27), p < 0.001). Annual insured amount >20,000 (TWD), high urbanization area, and hyperlipidemia were associated with increased hazard of breast cancer (aHR = 1.13 (95% CI = 1.01, 1.27), p = 0.04; aHR = 1.41 (95% CI = 1.17, 1.71), p < 0.001; aHR = 1.14 995% CI = 1.02, 1.29), p = 0.02, respectively). There was a positive correlation between depressive disorders and increased incidence rate of breast cancer but not statistically significant (aHR = 1.11 (95% CI = 0.99, 1.25), p = 0.08). Mood disorders were not associated with increased hazard (aHR = 1.11 (95% CI = 0.91, 1.34), p = 0.31).

Conclusion

In this study, women with insomnia had increased risk of breast cancer, particularly those in high urbanization or with high insured amounts. Sleep medication (benzodiazepine (BZD) or non-BZD) and hyperlipidemia were independently associated with a higher hazard ratio of breast cancer. Insomnia along with sleep medication did not yield more hazards than each alone. Mood disorders appeared to be not associated with subsequent breast cancer. However, depressive disorders, the subgroups of mood disorders, could possibly increase the incidence rate of breast cancer though not statistically significant.

Longitudinal Trends in Illness Perception and Depression during Adjuvant Breast Cancer Endocrine Therapy: A Prospective Observational Study

This study aimed to identify the changes in the illness perceptions and depression of women with breast cancer, undergoing AET, at three time points (i.e., before initiating AET, 3 months follow-up, and 12 months follow-up). We investigated the interaction effects of their demographic and clinical characteristics on illness perception changes over time. Furthermore, factors including the patient’s characteristics and illness perceptions associated with depressive symptoms 1 year after starting AET were explored. Illness perception and depressive symptoms were assessed with the brief illness perception questionnaire and the Center for Epidemiologic Studies Depression Scale, in a prospective study of 150 women. The changes in illness perceptions and depression between the three time points were analyzed using repeated measures ANOVA. The factors associated with depressive symptoms were identified using regression analysis. Illness perception improved overall over the 12 months. However, more patients perceived their illness as chronic, experienced more symptoms, and developed negative beliefs that treatment could not control their disease. Patients’ depressive symptoms decreased significantly. Depression at the baseline, cancer stage, and the perception of personal control were highly associated with depression after 12 months. These findings suggest that healthcare providers should offer appropriate interventions to patients, for managing symptoms, having a positive belief that treatment can control their disease, and preventing long-term depressive symptoms.

Prevalence and Psychobiological Correlates of Depression Among Breast Cancer Patients

The diagnosis of breast cancer (BC) is associated with psychological stress. Various factors that contribute to psychological reactions are from the diagnosis of cancer to long uncertain treatment. A patient develops many fears in their mind starting after the diagnosis of cancer. Fear of cancer being an incurable disease, changes in body image, fear of death, separation from loved ones, and fear of pain all contribute to psychological disorders and most common disorders in cancer patients are mood, anxiety, depression, and sexual functional disorders. Research studies focus more on cancer. Only a few studies emphasized the coexistence of stress, depression, and the abilities of the individual to cope with such stressors. Depression is a comorbid illness to cancer, and if neglected, it may complicate the treatment of both illnesses, which will result in poor adherence to treatment and less desirable outcome of both the illnesses. Studies from this perspective can have meaningful implications, and can address both areas. Every clinician involved in the care of BC should also plan assessment of stress and depression and arrange medical treatment or coping interventions if symptoms are present. This review article aims to find the prevalence and psychobiological correlates of depressive disorder and its effect on mortality in women diagnosed with BC.

Perceived social support and the risk of cardiovascular disease and all-cause mortality in the Women's Health Initiative Observational Study

OBJECTIVE

Previous studies have shown social support to be inversely associated with cardiovascular disease (CVD) in men, whereas fewer studies have assessed the relationship in women. The purpose of this study was to evaluate the relationship between perceived social support and cardiovascular outcomes among postmenopausal women enrolled in the Women's Health Initiative Observational Study.

METHODS

We examined the relationships between perceived social support and (1) incident coronary heart disease (CHD), (2) total CVD, and (3) all-cause mortality. Participants were Women's Health Initiative Observational Study women, ages 50 to 79 years, enrolled between 1993 and 1998 and followed for up to 10.8 years. Social support was ascertained at baseline via nine questions measuring the following functional support components: emotional/informational, tangible, positive social interaction, and affectionate support.

RESULTS

Among women with prior CVD (n = 17,351) and no prior CVD (n = 73,421), unadjusted hazard ratios ranged from 0.83 to 0.93 per standard deviation increment of social support. Adjustment for potential confounders, such as smoking and physical activity levels, eliminated the statistical significance of the associations with CHD and CVD. However, for all-cause mortality and among women free of baseline CVD, the association was modest but remained statistically significant after this adjustment (hazard ratio = 0.95 [95% confidence interval, 0.91-0.98]). No statistically significant association was observed among women with a history of CVD.

CONCLUSIONS

After controlling for potential confounding variables, higher perceived social support is not associated with incident CHD or CVD. However, among women free of CVD at baseline, perceived social support is associated with a slightly lower risk of all-cause mortality.

The risk factors for depression in cancer patients undergoing chemotherapy: a systematic review

PURPOSE

This systematic review aims to identify the risk factors for depression in cancer patients undergoing chemotherapy.

METHODS

Eight electronic databases were searched from inception of the databases established until August 2017. References for the included studies were retrieved by manual searching. The quality of the eligible studies was appraised by two persons using the 11-item checklist of the Agency for Healthcare Research and Quality (AHRQ).

RESULTS

Among 5988 potentially relevant articles, 43 studies were eligible, with 17 studies of high quality and 25 studies of moderate quality. A total of 65 factors were extracted, including sociodemographic characteristics (n = 20), physiological condition (n = 20), disease and treatment (n = 12), and psychosocial factors (n = 13). Only social support, anxiety, perceived stress, and self-efficacy were found to be consistently associated with depression in cancer patients. There is not enough evidence to support the link between the other 61 factors and depression in cancer patients undergoing chemotherapy.

CONCLUSIONS

This review suggests that the development of depression programs should take social support, anxiety, perceived stress, and self-efficacy into account. More original studies with rigorous design are necessary to further confirm those 61 inconclusive risk factors for depression in cancer patients receiving chemotherapy.

The roles of ncRNAs in the diagnosis, prognosis and clinicopathological features of breast cancer: a systematic review and meta-analysis

Background

A number of studies have shown that noncoding RNAs (ncRNAs) are abnormally expressed in breast cancers. However, the roles of ncRNAs remain unclear in breast cancer. Here, we aim to investigate the potential diagnostic and prognostic roles of ncRNAs in breast cancer.

Methods

Comprehensive literature search in Medline and Web of Science and a meta-analysis were performed to identify the association between ncRNAs and diagnosis, prognosis, and clinicopathological features of breast cancer.

Results

A total of 103 eligible studies, involving16, 828 independent participants, were included in the meta-analysis. In total, there were 98 individual and 11 grouped ncRNAs. 51 studies were eligible for survival analysis, 27 studies were eligible for diagnostic analysis, and 46 studies were eligible for clinicopathological features analysis. The abnormal expression of ncRNAs is associated with OS, RFS and PFS in breast cancer patients. For the diagnosis value of ncRNAs, the pooled OR and 95% CI for sensitivity, specificity, DOR and AUC on all ncRNAs were 0.83 [95% CI: 0.82- 0.84], 0.80 [95% CI: 0.79- 0.82], 24.77 [95% CI: 17.44- 35.16] and 0.9037, respectively. The analysis showed that downregulation of ncRNAs in breast cancer was associated with decreased risk of LNM, increased tumor size and PR expression, whereas, upregulation of ncRNAs was associated with increased HER2 expression.

Conclusions

High expression of ncRNAs was associated with poor OS, RFS, and PFS, while low expression of ncRNAs was related to favorable OS and RFS. Meanwhile, ncRNAs have potential diagnostic value for breast cancer.