| Literature DB >> 21575279 |
Lilia Antonova1, Kristan Aronson, Christopher R Mueller.
Abstract
Stress exposure has been proposed to contribute to the etiology of breast cancer. However, the validity of this assertion and the possible mechanisms involved are not well established. Epidemiologic studies differ in their assessment of the relative contribution of stress to breast cancer risk, while physiological studies propose a clear connection but lack the knowledge of intracellular pathways involved. The present review aims to consolidate the findings from different fields of research (including epidemiology, physiology, and molecular biology) in order to present a comprehensive picture of what we know to date about the role of stress in breast cancer development.Entities:
Mesh:
Year: 2011 PMID: 21575279 PMCID: PMC3219182 DOI: 10.1186/bcr2836
Source DB: PubMed Journal: Breast Cancer Res ISSN: 1465-5411 Impact factor: 6.466
Prospective epidemiologic studies looking at the effect of stress on breast cancer risk
| Study | Study design | Sample size | Follow-up | Stress-exposure measure | Control for confounding | Results |
|---|---|---|---|---|---|---|
| Kuper and colleagues [ | Prospective cohort | 36,332 | ~13 years | Work-related stressors | Yes | Association found for low job control and high job demands (HR = 1.3 (1.0 to 1.7) for both), and job strain (HR = 1.4 (1.1 to 1.9)) |
| Nielsen and colleagues [ | Prospective cohort | 18,932 | 10 years | Work-related stressors | Yes | No association found for high work pressure, influence on job organization, and long working hours; association but no dose-response effect found for high work tempo (HR 1.25 (1.02 to 1.54)) |
| Schernhammer and colleagues [ | Prospective cohort | 37,562 | 8 years | Work-related stressors | Yes | No association found for women in passive (RR = 0.90 (0.76 to 1.06)), active (RR = 0.83 (0.69 to 0.99)) or high-strain jobs (RR = 0.87 (0.73 to 1.04)) |
| Kroenke and colleagues [ | Prospective cohort | 32,826 | 8 years | Caregiving stress | Yes | No association found for adult care (RR = 1.19 (0.87 to 1.62)) or child care (RR = 0.87 (0.66 to 1.16)) |
| Nielsen and colleagues [ | Prospectivecohort | 7,018 | 16 to 18 years | Total stress at baseline | Yes | Lower risk associated with high stress at baseline (HR = 0.60 (0.37 to 0.97)) |
| Surtees and colleagues [ | Prospective cohort | 11,467 | Median 9 years | Difficulties in childhood, self-perceived stress | Yes | No association found for difficulties in childhood (HR = 1.02 (0.91 to 1.16)), life events within 5 years previous to study (HR = 0.99 (0.89 to 1.11)), or perceived stress within 10 years previous to study (HR = 1.17 (0.84 to 1.64)) |
| Metcalfe and colleagues [ | Prospective cohort | 991 | 30 years | Daily stress | Yes | Mild correlation for moderate (HR = 2.16 (1.00 to 4.71)) and high (HR = 1.92 (0.81 to 4.55)) daily stress |
| Helgesson and colleagues [ | Prospective cohort | 1,462 | 24 years | Self-perceived stress | Yes | Association found for self-reported stress during the 5 years prior to baseline (RR = 2.1 (1.2 to 3.7)) |
| Lillberg and colleagues [ | Prospective cohort | 10,808 | 14 years | Life events | Yes | Associations found for major life events (HR = 1.35 4.07)), death of a husband (HR = 2.00 (1.03 to 3.88)), or death of a close relative or friend (HR = 1.36 (1.00 to 1.86)) |
| Lambe and colleagues [ | Registry study | 27,571 cases, 141,798 controls | Loss of a child | Yes | Association found for loss of a child between the ages of 1 and 4 (OR = 2.65 (1.06 to 6.60)) | |
| Ollonen and colleagues [ | Limited prospective | 34 cases, 81 controls (53 with benign breast disease, 28 no disease) | Life events | Yes | Association found for very severe and severe losses ( | |
| Michael and colleagues [ | Prospective cohort | 84,334 | ~ 8 years | Life events | Yes | Association found for one life event (HR = 1.12 (1.0 to 1.25)), no dose-response |
| Eskelinen and Ollonen [ | Limited prospective | 34 cases, 81 controls (53 with benign breast disease, 28 no disease) | Losses and deficit in childhood | Yes | Association found for deficit in childhood ( | |
| Jacobs and Bovasso [ | Prospective cohort | 1,213 | ~ 15 years | Life events | Yes | Association found for maternal death in childhood (OR = 2.56 (1.59 to 4.35)) |
| Keinan-Boker and colleagues [ | Registry study | 37,872 women | 2,670,238 person-years for women | Holocaust exposure | No | Association found for Holocaust exposure (RR = 2.44 (1.46 to 4.06) for youngest birth cohort; lower but significant association for other birth cohorts) |
| Koupil and colleagues [ | Prospective cohort | 1,429 women | Not estimated | Leningrad siege exposure | Some | Association found for Leningrad siege exposure and breast cancer mortality in women 10 to 18 years old at time of exposure (HR = 9.9 (1.1 to 86.5)) |
Results data presented as value (95% confidence interval). HR, hazard ratio; OR, odds ratio; RR, relative risk.
Figure 1Role of cortisol in mammary gland development. The role of cortisol is shown for the different post-embryonic developmental stages of the mammary gland. Other hormones involved in the different developmental stages are also listed. Estrogen and progesterone promote ductal system proliferation during puberty. However, the DNA binding function of the glucocorticoid receptor also appears to be required. During pregnancy, cortisol contributes to lobuloalveolar development of the mammary gland, in conjunction with estrogen and progesterone. Prolactin and cortisol prepare the mammary cells for lactation and stimulate milk protein production following parturition. In addition, cortisol contributes to the maintenance of lactation by suppressing involution. ER, endoplasmic reticulum.
Physiological studies looking at the effect of stress on DNA damage and tumor development
| Study | Study focus | Study design | Subjects | Results |
|---|---|---|---|---|
| Kiecolt-Glaser and colleagues [ | DNA damage | DNA-repair capacity in lymphocytes in response to X-ray irradiation | Distressed vs. nondistressed psychiatric patients | Lower DNA repair capacity in distressed individuals |
| Glaser and colleagues [ | DNA damage | DNA repair capacity during period of stress | Medical students during examination | Increase in DNA repair capacity during period of stress, possibly as initial response to increased DNA damage |
| Cohen and colleagues [ | DNA damage | Levels of O6-methylguanine-methyltransferase following stress exposure | Stressed vs. control rats | Levels of DNA repair enzyme are reduced in stressed rats |
| Fischman and colleagues [ | DNA damage | Rate of sister chromatid exchanges in response to γ-irradiation, mitomycin-C in the presence of environmental stressors | Stressed vs. control rats | Increase in sister chromatid exchanges in stressed rats; increased susceptibility to mutagenesis |
| Sacharczuk and colleagues [ | DNA damage | Rate of DNA mutation occurrence Oxidative damage | Stressed vs. control rats | Increased rate of DNA mutation occurrence in stressed rats |
| Adachi and colleagues [ | DNA damage | Rate of DNA mutation occurrence Oxidative damage | Stressed vs. control rats | Increased rate of DNA mutation occurrence in stressed rats |
| Weinberg and Emerman [ | Tumor development | Tumor growth in response to acute daily novelty stress | Socially isolated vs. group-housed male mice | Increased tumor growth in socially isolated animals |
| Grimm and colleagues [ | Tumor development | Tumor growth in response to change in housing conditions | Mice switched from group to individual housing vs. individual to group housing | Increased tumor growth rate in mice switched from group to individual housing |
| Hermes and colleagues [ | Tumor development | Life-time risk of mammary tumor incidence, tumor growth rate in response to social isolation | Socially isolated vs. group-housed female rats | Increased risk for developing at least one malignant tumor; increased tumor growth; hyperactive response to future stressors; sustained changes in HPA-axis signaling |
| Williams and colleagues [ | Tumor development | Tumor incidence, tumor size in response to social isolation | Socially isolated vs. group-housed mice | Increased tumor incidence; increased tumor size; higher number of poorly differentiated adenocarcinomas in socially isolated animals; increased HPA-axis reactivity to additional stress; no permanent changes in baseline corticosterone; global changes in gene expression |
Figure 2Mechanisms of stress signaling in breast cells and of stress-induced breast cancer development. (a) Mechanisms of stress signaling in breast cells. Stress-induced cortisol (C) binding to the glucocorticoid receptor (GR) causes translocation of the GR to the cell nucleus and changes in the expression of apoptotic and DNA repair genes. Some possible protumorigenic mechanisms include loss of GR transactivation at the breast cancer susceptibility gene 1 (BRCA1) promoter, stimulation of activator protein (AP)-1 transrepressing activities, activation of serum and glucocorticoid-regulated kinase-1 (SGK-1), repression of mitogen-activated protein kinase (MAPK) signaling, suppression of inhibitors of apoptosis protein (IAP) degradation, and modulation of the levels of DNA damage sensor and response proteins. Green arrows represent a positive effect, red lines represent a negative effect. (b) A model of stress-induced breast cancer development. The cortisol-activated GR stimulates mammary gland proliferation during development and represses involution. Prolonged presence of cortisol, such as in periods of stress, leads to an increase in both the proproliferative and antiapoptotic effects of the receptor creating transformation-promoting intracellular conditions. FOXO3a, Forkhead transcription factor 3a; MKP-1, mitogen-activated protein kinase phosphatase-1.