Effect of depression before breast cancer diagnosis on mortality among postmenopausal women

Liang, Xiaofeng; Margolis, Karen L.; Hendryx, Michael; Reeves, Katherine W.; Wassertheil‐Smoller, Sylvia; Weitlauf, Julie C.; Danhauer, Suzanne C.; Chlebowski, Rowan T.; Caan, Bette J.; Qi, Lihong; Lane, Dorothy S.; Lavasani, Sayeh; Luo, Juhua

doi:10.1002/cncr.30688

Cited by 39 publications

(38 citation statements)

References 18 publications

(40 reference statements)

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“…Twenty-eight studies were included in this review and 24 in the meta-analysis (figure 1). Twenty-three studies were identified from 2381 possible MEDLINE citations6–11 13 17 39–53 and an additional five articles were identified through the PubMed search and a manual search of narrative review references 12 16 18 19 54. Sixteen studies investigated stage at diagnosis and 25 investigated survival.…”

Section: Resultsmentioning

confidence: 99%

Stage at diagnosis and survival in patients with cancer and a pre-existing mental illness: a meta-analysis

Davis

Bogner

Coburn

et al. 2019

J Epidemiol Community Health

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IntroductionIndividuals with a pre-existing mental illness, especially those experiencing reduced social, occupational and functional capacity, are at risk for cancer care disparities. However, uncertainty surrounding the effect of a mental illness on cancer outcomes exists.MethodsWe conducted a systematic review and meta-analysis of observational studies using MEDLINE and PubMed from 1 January 2005 to 1 November 2018. Two reviewers evaluated citations for inclusion. Advanced stage was defined as regional, metastatic or according to a classification system. Cancer survival was defined as time survived from cancer diagnosis. Pooled ORs and HRs were presented. The Newcastle-Ottawa bias risk assessment scale was used. Random-effects models used the Mantel-Haenszel approach and the generic inverse variance method. Heterogeneity assessment was performed using I2.Results2381 citations were identified; 28 studies were included and 24 contributed to the meta-analysis. Many demonstrated methodological flaws, limiting interpretation and contributing to significant heterogeneity. Data source selection, definitions of a mental illness, outcomes and their measurement, and overadjustment for causal pathway variables influenced effect sizes. Pooled analyses suggested individuals with a pre-existing mental disorder have a higher odds of advanced stage cancer at diagnosis and are at risk of worse cancer survival. Individuals with more severe mental illness, such as schizophrenia, are at a greater risk for cancer disparities.DiscussionThis review identified critical gaps in research investigating cancer stage at diagnosis and survival for individuals with pre-existing mental illness. High-quality research is necessary to support quality improvement for the care of psychiatric patients and their families during and following a cancer diagnosis.

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Section: Resultsmentioning

confidence: 99%

Stage at diagnosis and survival in patients with cancer and a pre-existing mental illness: a meta-analysis

Davis

Bogner

Coburn

et al. 2019

J Epidemiol Community Health

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“…It seems that similar findings are found in patients having diagnosis of Major depressive disorder before discovering their cancer breast. Such consistent findings encouraged many authors to recommend therapeutic approach to depressive symptoms weather antidepressant medications or psychological interventions such as meditation and CBT psychotherapy [5].…”

Section: Introductionmentioning

confidence: 89%

Demographic and Clinical Correlates of Breast Cancer Patients with Depression

Rady¹,

Elkholy²,

Abouelwafa³

et al. 2018

Neuropsychiatry

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Background and objectives Breast cancer patients are vulnerable to depression with prevalence varying between 11 and 86% in literature with direct and indirect impact on compliance to treatment, quality of life and response to therapeutic course. Our study aims to identifying the profile of patients with cancer breast whom symptoms exceed normal reactive sadness to depressive manifestation necessitating psychiatric and psychological intervention. Methods 100 female patients with breast cancer diagnosis were recruited from Alexandria Police Hospital after consenting they were subject to mammogram, laboratory investigations for calcium, alkaline phosphatase, renal, hepatic functions and complete blood picture and thyroid profile. Hamilton Rating Scale and structured demographic data questionnaire was to collect relevant data. Results The prevalence of moderate to severe depressive symptoms on HAM-D was 52%, Significant statistical association was found between patients with depressive manifestations and postmenopusal state (p<0.001), with widowed and divorced (p<0.001), family history of brease cancer (p<0.001), advanced cancer staging (p<0.001), presence of Infiltrative ductal carcinoma (p<0.001) and type of surgery whether lumbectomy or modifies radical mastectomy (p<0.05). However the presence of brain metastasis, adjuvant chemotherapy or presence of family history of psychiatric illness didn't show statistical difference. Conclusion Depression is a common illness among breast cancer patients with particular vulnerable group among those postmenopausal widowed and divorced with advanced stage having rather infiltrative ductal carcinoma.

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“…Possible explanations for these findings include delayed diagnosis and lack of access to screening, which lead to more advanced staging at the time of diagnosis, and reduced access to or use of appropriate treatments after diagnosis. For example, people with depression are less likely to receive routine cancer screening (Carney and Jones, 2006), which may result in more advanced disease at presentation (Liang et al, 2017). On the other hand, some studies have documented a reduced incidence of cancer in patients with dementia and schizophrenia (Attner et al, 2010; Bushe and Hodgson, 2010; Kisely et al, 2013).…”

Section: Discussionmentioning

confidence: 99%

Association of Mental Health-Related Proteins DAXX, DRD3, and DISC1 With the Progression and Prognosis of Chondrosarcoma

Shi

Chen

et al. 2019

Front. Mol. Biosci.

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Chondrosarcoma is the second most common malignant bone tumor. Current therapies remain ineffective, resulting in poor prognoses. Biomarkers for chondrosarcoma and predictors of its prognosis have not been established. Mental health–related proteins have been associated with the pathogenesis, progression, and prognosis of many cancers, but their association with chondrosarcoma has not been reported. In this study, the expression and clinicopathological significance of the mental health–related proteins DAXX, DRD3, and DISC1 in chondrosarcoma tissue samples were examined, over an 84-months follow-up period. In immunohistochemical analysis, the rates of positive DAXX, DRD3, and DISC1 expression were significantly higher in chondrosarcoma than in osteochondroma tissue (P < 0.01). The percentages of positive DAXX, DRD3, and DISC1 expression were significantly lower in tissues with good differentiation (P < 0.01), AJCC stage I/ II (P < 0.01), Enneking stage I (P < 0.01), and non-metastasis (P < 0.05), respectively. In Kaplan–Meier survival analysis, significantly shorter mean survival times were associated with moderate and poor differentiation (P = 0.000), AJCC stage III/IV (P = 0.000), Enneking stage II/III (P = 0.000), metastasis (P = 0.019), invasion (P = 0.013), and positive DAXX (P = 0.012), and/or DRD3 (P = 0.018) expression. In Cox regression analysis, moderate and poor differentiation (P = 0.006), AJCC stage III/IV (P = 0.013), Enneking stage II/III (P = 0.016), metastasis (P = 0.033), invasion (P = 0.011), and positive DAXX (P = 0.033), and/or DRD3 (P = 0.025) staining correlated negatively with the postoperative survival rate and positively with mortality. In competing-risks regression analysis, differentiation (P = 0.005), metastasis (P = 0.014), invasion (P = 0.028), AJCC stage (P = 0.003), Enneking stage (P = 0.036), and DAXX (P = 0.039), and DRD3(P = 0.019) expression were independent predictors of death from chondrosarcoma. The areas under receiver operating characteristic curves for DAXX, DRD3, and DISC1 expression were 0.673 (95% CI, 0.557–0.788; P = 0.010), 0.670 (95% CI, 0.556–0.784; P = 0.011), and 0.688 (95% CI, 0.573–0.802; P = 0.005), respectively. These results suggest that DAXX, DRD3, and DISC1 could serve as biomarkers of chondrosarcoma progression and predictors of its prognosis.

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Effect of depression before breast cancer diagnosis on mortality among postmenopausal women

Cited by 39 publications

References 18 publications

Stage at diagnosis and survival in patients with cancer and a pre-existing mental illness: a meta-analysis

Stage at diagnosis and survival in patients with cancer and a pre-existing mental illness: a meta-analysis

Demographic and Clinical Correlates of Breast Cancer Patients with Depression

Association of Mental Health-Related Proteins DAXX, DRD3, and DISC1 With the Progression and Prognosis of Chondrosarcoma

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