Despite concerns about the mental health of breast cancer patients, little is known regarding the temporal risk pattern and risk factors of common mental disorders among these patients. We estimated standardized incidence ratios (SIRs) of depression, anxiety and stress-related disorders in a Swedish nationwide cohort of 40,849 women with invasive and 4,402 women with in situ breast cancer (2001-2010, median follow-up = 4.5 years). The impact of patient, tumor and treatment characteristics was analyzed using flexible parametric survival models in a regional cohort of 7,940 invasive breast cancer patients (2001-2013, median follow-up = 7.5 years). Women with invasive breast cancer showed increased rates of depression, anxiety and stress-related disorders [overall SIR (95% CI) = 1.57 (1.46-1.69), 1.55 (1.43-1.68) and 1.77 (1.60-1.95), respectively]. SIRs were highest shortly after diagnosis, but remained increased up to 5 years. Younger age at diagnosis, comorbidity, higher-grade disease, lymph node involvement and chemotherapy were independently associated with the risk of depression and anxiety in invasive cancer patients, with chemotherapy and higher-grade disease conferring short-term risk only, while comorbidities were mainly associated with late-onset events. No clinical risk factors were identified for stress-related disorders except for a greater risk associated with younger age. Patients with in situ cancer only showed an increased incidence of stress-related disorders during the first 6 months after diagnosis [SIR (95% CI) = 2.76 (1.31-5.79)]. The time-dependent risk profile of invasive cancer patients may guide health care professionals for timely and targeted psycho-oncologic interventions.

Patients with depression are at increased risk for a range of comorbid diseases, with, however, unclear explanations. In this large community-based cohort study of the UK Biobank, 24,130 patients diagnosed with depression were compared to 120,366 matched individuals without such a diagnosis. Follow-up was conducted from 6 months after the index date until death or the end of 2019, for the occurrence of 470 medical conditions and 16 specific causes of death. The median age at the time of the depression diagnosis was 62.0 years, and most of the patients were female (63.63%). During a median follow-up of 4.94 years, 129 medical conditions were found to be significantly associated with a prior diagnosis of depression, based on adjusted Cox regression models. Using disease trajectory network analysis to visualize the magnitude of disease–disease associations and the temporal order of the associated medical conditions, we identified three main affected disease clusters after depression (i.e., cardiometabolic diseases, chronic inflammatory diseases, and diseases related to tobacco abuse), which were further linked to a wider range of other conditions. In addition, we also identified three depression-mortality trajectories leading to death due to cardiovascular disease, respiratory system disease and malignant neoplasm. In conclusion, an inpatient diagnosis of depression in later life is associated with three distinct network-based clusters of medical conditions, indicating alterations in the cardiometabolic system, chronic status of inflammation, and tobacco abuse as key pathways to a wide range of other conditions downstream. If replicated, these pathways may constitute promising targets for the health promotion among depression patients.

BackgroundPreeclampsia is frequently linked to reduced breast cancer risk. However, little is known regarding the underlying genetic association and the association between preeclampsia and mammographic density.MethodsThis study estimates the incidence rate ratios (IRRs) of breast cancer in patients with preeclampsia, when compared to women without preeclampsia, using Poisson regression models in two cohorts of pregnant women: a Swedish nationwide cohort (n = 1,337,934, 1973–2011) and the Karolinska Mammography Project for Risk Prediction of Breast Cancer (KARMA, n = 55,044, 1958–2015). To identify the genetic association between preeclampsia and breast cancer, we used logistic regression models to calculate the odds ratios (ORs) of preeclampsia in sisters of breast cancer patients, and in women with different percentiles of breast cancer polygenic risk scores (PRS). Linear regression models were used to estimate the mammographic density by preeclampsia status in the KARMA cohort.ResultsA decreased risk of breast cancer was observed among patients with preeclampsia in both the nationwide (IRR = 0.90, 95% CI = 0.85; 0.96) and KARMA cohorts (IRR = 0.75, 95% CI = 0.61; 0.93). Women with high breast cancer PRS and sisters of breast cancer patients had a lower risk of preeclampsia (OR = 0.89, 95% CI = 0.83; 0.96). Mammographic density was lower in women with preeclampsia compared to women without preeclampsia (-2.04%, 95% CI = -2.65; -1.43). Additionally, among sisters in the KARMA cohort (N = 3500), density was lower in sisters of patients with preeclampsia compared to sisters of women without preeclampsia (-2.76%, 95% CI = -4.96; -0.56).ConclusionPreeclampsia is associated with reduced risk of breast cancer and mammographic density. Inherited factors contribute to this inverse association.Electronic supplementary materialThe online version of this article (doi:10.1186/s13058-017-0930-6) contains supplementary material, which is available to authorized users.

Purpose Breast cancer is a common disease with a relatively good prognosis. Therefore, understanding the spectrum of diseases and mortality among breast cancer patients is important, though currently incomplete. We systematically examined the incidence and mortality of all diseases following a breast cancer diagnosis, as well as the sequential association of disease occurrences (trajectories). Methods In this national cohort study, 57,501 breast cancer patients (2001–2011) were compared to 564,703 matched women from the general Swedish population and followed until 2012. The matching criteria included year of birth, county of residence, and socioeconomic status. Based on information from the Swedish Patient and Cause of Death Registries, hazard ratios (HR) were estimated for disease incidence and mortality. Conditional logistic regression models were used to identify disease trajectories among breast cancer patients. Results Among 225 diseases, 45 had HRs > 1.5 and p < 0.0002 when comparing breast cancer patients with the general population. Diseases with highest HRs included lymphedema, radiodermatitis, and neutropenia, which are side effects of surgery, radiotherapy, and chemotherapy. Other than breast cancer, the only significantly increased cause of death was other solid cancers (HR = 1.16, 95% CI = 1.08–1.24). Two main groups of disease trajectories were identified, which suggest menopausal disorders as indicators for other solid cancers, and both neutropenia and dorsalgia as diseases and symptoms preceding death due to breast cancer. Conclusions While an increased incidence of other diseases was found among breast cancer patients, increased mortality was only due to other solid cancers. Preventing death due to breast cancer should be a priority to prolong life in breast cancer patients, but closer surveillance of other solid cancers is also needed. Electronic supplementary material The online version of this article (10.1186/s13058-019-1181-5) contains supplementary material, which is available to authorized users.

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