Global depression in breast cancer patients: Systematic review and meta-analysis

Javan Biparva, Akbar; Raoofi, Samira; Rafiei, Sima; Masoumi, Maryam; Doustmehraban, Maryam; Bagheribayati, Farzaneh; Vaziri Shahrebabak, Elahe sadat; Noorani Mejareh, Zahra; Khani, Saghar; Abdollahi, Bahare; Abedi Bafrajard, Zahra; Sotoude Beidokhti, Shakila; Shojaei, Seyedeh Fahimeh; Rastegar, Mahdieh; Pashazadeh Kan, Fatemeh; Nosrati Sanjabad, Elmira; Ghashghaee, Ahmad

doi:10.1371/journal.pone.0287372

Cited by 23 publications

(14 citation statements)

References 47 publications

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“…Overall, the findings of our research show a high burden of mental disorders among the general-adult population in SA, with even higher prevalence among specific population subgroups. These findings are also supported by reviews published since our searches were carried out (Manna et al, 2022; Palfreyman and Gazeley, 2022; Al-Mamun et al, 2023; Javan Biparva et al, 2023). Our results highlight an urgent need for countries in SA to formulate and implement both clinical and policy measures for the prevention and early treatment of mental disorders and intentional self-harm.…”

Section: Discussionsupporting

confidence: 85%

Prevalence of mental disorders in South Asia: A systematic review of reviews

Vidyasagaran,

McDaid,

Faisal

et al. 2023

Camb. prisms Glob. ment. health

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Mental disorders are increasing in South Asia (SA), but their epidemiological burden is under-researched. We carried out a systematic umbrella review to estimate the prevalence of mental disorders and intentional self-harm in the region. Multiple databases were searched and systematic reviews reporting the prevalence of at least one mental disorder from countries in SA were included. Review data were narratively synthesised; primary studies of common mental disorders (CMDs) among adults were identified from a selected subset of reviews and pooled. We included 124 reviews. The majority (n = 65) reported on mood disorders, followed by anxiety disorders (n = 45). High prevalence of mental disorders and intentional self-harm was found in general adult and vulnerable populations. Two reviews met our pre-defined criteria for identifying primary studies of CMDs. Meta-analysis of 25 primary studies showed a pooled prevalence of 16.0% (95% CI = 11.0–22.0%, I 2 = 99.9%) for depression, 12.0% (5.0–21.0%, I 2 = 99.9%) for anxiety, and 14.0% (10.0–19.0, I 2 = 99.9%) for both among the general adult population; pooled estimates varied by country and assessment tool used. Overall, reviews suggest high prevalence for mental disorders in SA, but evidence is limited on conditions other than CMDs.

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Section: Discussionsupporting

confidence: 85%

Prevalence of mental disorders in South Asia: A systematic review of reviews

Vidyasagaran,

McDaid,

Faisal

et al. 2023

Camb. prisms Glob. ment. health

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“…In addition, with the growth of age, women suffering from breast cancer have an increased risk of depression. Compared with developed regions, the prevalence of depression in breast cancer patients in developing countries is higher [20] .Depression is closely related to breast cancer patients' physical defects, disease severity and chronic pain. In addition, if breast cancer and depression occur at the same time, patients will experience more severe pain, extreme fatigue, decreased survival rate and quality of life [21] .In a recent meta-analysis, the results con rmed that cancer patients with depressive symptoms have a 25% higher mortality rate, and psychological intervention can effectively improve the 12 month survival rate [22] .That is to say, even if cancer patients receive effective anti-tumor treatment, psychological factors such as depression and anxiety still lead to poor prognosis and decreased living standards.…”

Section: Discussionmentioning

confidence: 98%

Multivariate analysis of the molecular mechanism related to breast cancer and depression

Xie,

Ding,

et al. 2023

Preprint

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Background Breast cancer is a malignant disease that seriously affects women's health,there is a certain connection between depression and it, however, the mechanism of their interrelationship is still unclear.This article aims to explore the common genetic characteristics and potential molecular mechanisms of breast cancer and depression through multiple data sets. Methods Download breast cancer and depression related datasets from TCGA database and NCBI GEO public database, use R package "Limma" to analyze the difference of molecular mechanism of data, identify the differentially expressed genes between normal samples and disease samples, use Metascape database for annotation and visualization, and carry out gene ontology (GO) analysis and Kyoto Gene Genome Encyclopedia (KEGG) pathway analysis for differentially expressed genes, Random Forest SRC software package was used to carry out random survival forest algorithm to screen characteristic genes, and key genes co expressed by breast cancer and depression were screened; In addition, CIBERSORT algorithm was used to analyze the data of patients, Pearson correlation analysis was conducted on the expression of key genes and the content of immune cells, and the transcription regulatory factors of breast cancer were predicted through R package "RcisTarget"; The R software package "pRRophic" was used to predict the drug sensitivity of each breast cancer sample; Download gene sets from the Molecular signatures database, use the GSVA algorithm to comprehensively score each gene set, and evaluate the potential biological functional changes of different samples; Further analyze the differences in signaling pathways between high and low expression groups through GSEA; A multivariate regression model was constructed using Nomogram to obtain miRNAs related to key genes from the miRcode database, and the miRNA network of key genes was visualized using Cytoscape software. Results Through random survival forest analysis, CCNB1, MLPH, PSME1 and RACGAP1 were screened as four key genes of breast cancer and depression, and the specific signal pathways of these four key genes were analyzed, which were regulated by multiple transcription factors and other common mechanisms, suggesting that they were significantly related to the expression level of genes involved in the progression of breast cancer and depression, These four key genes are the potential molecular mechanisms that affect the progression of breast cancer and depression, and have strong correlation with immune cells; Further analysis showed that it was significantly related to the common drug sensitivity in the treatment of breast cancer; The expression of key genes and clinical information will be used to construct a multivariate regression model and miRNA network analysis through Nomogram to analyze that key genes have a predictive effect on the prognosis of breast cancer. Conclusion Our work has found the key genes of comorbidity between breast cancer and depression. It is the first time to analyze the correlation between key genes and the occurrence, progress, treatment and prognosis of these two diseases through multiple factors, thus suggesting that these four key genes can be used as the biomarkers or potential therapeutic targets of comorbidity of these two diseases.

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“…Among patients with metastatic breast cancer in Germany, their EQ-VAS scores were significantly associated with single EQ-5D-5L items and the total score [ 42 ]. Furthermore, breast cancer patients usually suffer from mental health and psychological issues [ 43 – 45 ]. Previous studies demonstrated that breast cancer patients suffering from depression, anxiety, and stress also had lower health-related quality of life [ 11 , 46 , 47 ].…”

Section: Discussionmentioning

confidence: 99%

Health-state utility of patients with HER2-positive breast cancer in Vietnam: A multicenter cross-sectional study

Luu,

Dinh,

Tran

et al. 2024

PLoS ONE

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Background Patients with human epidermal growth factor receptor 2 (HER2)-positive breast cancer may have poor prognoses and short overall and disease-free survival. Most previous studies focused on assessing the quality of life and health-state utility of the general population of breast cancer patients. The number of studies for HER2-positive breast cancer patients is negligible. This study investigated the health-state utility and its associated factors among Vietnamese patients with HER2-positive breast cancer. Methods We conducted face-to-face interviews with 301 HER2-positive breast cancer patients to collect data. Their health-state utility was measured via the EQ-5D-5L instrument. The Mann-Whitney U and Kruskal-Wallis tests were employed to compare the differences in utility scores between two groups and among three groups or more, respectively. Factors associated with patients’ heath-state utility were identified via Tobit regression models. Results Pain/discomfort (56.1%) and anxiety/depression (39.5%) were the two issues that patients suffered from the most, especially among metastatic breast cancer patients. The severity of distress (depression, anxiety, and stress) in patients was relatively mild. Of 301 patients, their average utility score was 0.86±0.17 (range: 0.03–1.00), and the average EQ-visual analogue scale (VAS) score was 69.12±12.60 (range: 30–100). These figures were 0.79±0.21 and 65.20±13.20 for 102 metastatic breast cancer patients, significantly lower than those of 199 non-metastatic cancer patients (0.89±0.13 and 71.13±11.78) (p<0.001), respectively. Lower health-state utility scores were significantly associated with older age (p = 0.002), lower education level (p = 0.006), lower monthly income (p = 0.036), metastatic cancer (p = 0.001), lower EQ-VAS score (p<0.001), and more severe level of distress (p<0.001). Conclusions Our findings showed a significant decrement in utility scores among metastatic breast cancer patients. Patients’ health-state utility differed by their demographic characteristics (age, education level, and income) and clinical characteristics (stage of cancer and distress). Their utility scores may support further cost-effectiveness analysis in Vietnam.

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Global depression in breast cancer patients: Systematic review and meta-analysis

Cited by 23 publications

References 47 publications

Prevalence of mental disorders in South Asia: A systematic review of reviews

Prevalence of mental disorders in South Asia: A systematic review of reviews

Multivariate analysis of the molecular mechanism related to breast cancer and depression

Health-state utility of patients with HER2-positive breast cancer in Vietnam: A multicenter cross-sectional study

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