Abstract
Pesticides have been pointed out as hormone disruptors and may significantly affect the prognosis of hormone-dependent diseases such as breast cancer (BC). Here, we investigated the impact of occupational pesticide exposure on systemic cortisol levels in female rural workers diagnosed with BC. Occupational exposure was assessed by interviews with a standardized questionnaire. Plasma samples (112 from pesticide-exposed women and 77 from unexposed women) were collected in the afternoon, outside the physiological cortisol peak, and analyzed by a chemiluminescent paramagnetic immunoassay for the quantitative determination of cortisol levels in serum and plasma. The results from both groups were categorized according to patients' clinicopathological and exposure data. BC pesticide-exposed women presented higher levels of cortisol than the unexposed. Higher cortisol levels were also detected in the exposed group with more aggressive disease (triple-negative BC), with tumors over 2 cm, with lymph node metastases, and with high risk of disease recurrence and death. These findings demonstrated that there is an association between pesticide exposure and BC that affected cortisol levels and correlated to poor disease prognosis.
Keywords: Breast cancer, Cortisol, Pesticides, Endocrine disruption
Introduction
Breast cancer (BC) is the most common malignant neoplasia in women worldwide. In 2020, 2.3 million women were diagnosed with BC, and a total of 685,000 died from the disease (1). Although the main risk factors related to BC are age, family history, and reproductive and hormonal factors, environmental exposures play a significant role in BC (2,3). The negative impact of pesticide exposure has been extensively associated with BC risk (4- 6) and is linked to significant immune deregulation (7,8) and DNA repair impairment (9).
Exposure to pesticides has systemic impacts. Widely used pesticides, such as glyphosate and atrazine, are known endocrine disruptors (10,11) and may significantly affect the course of hormone-dependent diseases such as BC. They can act as hormone deregulators by affecting hormone synthesis, secretion, transport, binding, action, or elimination (12). A variety of pesticides can mimic estrogen, and because of this, they can act as xenoestrogens. Further, pesticides have been detected in adipose tissue samples from BC women (13), suggesting accumulation in the mammary gland. Consequently, exposure to such endocrine disruptors can affect breast cell division and differentiation (14,15), pivotal events linked to BC initiation and progression.
One of the less explored hormones in BC biology is cortisol, a reliable biomarker of endocrine deregulation of the hypothalamic-pituitary-adrenal (HPA) axis (16,17). Studies point out that pesticides can significantly alter the cortisol axis in BC. For example, patients with abnormal cortisol secretion present enhanced tumor progression and immune system malfunctioning (18,19).
Pesticides also affect the production of inflammatory mediators such as Th1 cytokines (15). This pro-inflammatory environment leads to genomic instability, resulting in DNA damage and increased risk of BC development (20). Chronic systemic inflammation also favors the deregulation of the cortisol axis by making it hyperactivated (21). Cortisol has a physiological anti-inflammatory action but can cause tumor growth and progression under dysregulated conditions (22).
Patients with metastatic BC and continuously increased systemic cortisol levels tend to present early mortality (23), suggesting that the combination of deregulated cortisol and BC may result in a poor prognosis. Here, we hypothesized that women exposed to pesticides have cortisol imbalance, and that this is associated with worse disease compared to unexposed women. Considering this, we investigated the impact of occupational pesticide exposure on the systemic cortisol profile of BC patients. We measured cortisol levels in blood samples from pesticide-exposed and unexposed BC patients outside the physiological cortisol peak, and analyzed the results according to the main clinicopathological features determinant of BC prognosis.
Material and Methods
The present study screened 422 women who were under investigation for BC at Francisco Beltrão Cancer Hospital (CEONC), a public hospital in the southwest of Paraná state (Brazil) that assists 27 municipalities. A total of 182 women with confirmed BC from May 2015 to August 2022 and clinicopathological data available were included in the study. This was a mixed, observational, analytical, cross-sectional cohort study approved by the Institutional Ethics and Human Research Committee (Opinion CAAE number 72169517.1.0000.0109). All participants signed a free and informed consent form.
To understand the impact of pesticide exposure on cortisol levels, we collected heparinized peripheral blood samples (10 mL) in the afternoon (2-5 pm), outside the morning cortisol peak, to understand whether cortisol levels are deregulated during the day. Samples were centrifuged at 5600 g for 5 min at 4°C, and plasma was frozen at -20°C for later analysis. Cortisol levels were measured by a chemiluminescent cortisol immunoassay using the UNICEL DXI 800 equipment (Beckman Coulter, USA).
Clinicopathological information from BC patients was collected from medical records, which included age at diagnosis, histological grade, tumor size, lymph node metastasis, menopausal status at diagnosis, body mass index (BMI), and molecular subtype. For clinicopathological characterization (24), samples were grouped according to disease aggressiveness into low (Luminal A) vs high (HER2-amplified, Triple-negative +, or Luminal B), tumor size (< or ≥2 cm), tumor grade (low-grade=1 and 2, high-grade=3), and disease metastasis (yes or no) (Figure 1).
Figure 1. Cortisol levels in plasma samples from breast cancer patients exposed or not to pesticides categorized according to their clinicopathological features. A, overall circulating levels; B, cortisol levels according to disease aggressiveness (low=luminal tumors, high=triple-negative breast cancer); C, cortisol levels according to tumor size (2 cm cut-off); D, cortisol levels according to tumor grade (low=1 and 2, high=3); and E, cortisol levels according to presence or absence of metastasis. Data are reported as violin plots. *P<0.05, Mann-Whitney's test. The dotted line represents the start of the axis (level zero).
Patients were also interviewed to assess their occupational profile concerning pesticide exposure. To reach this goal, we used a validated instrument (25) containing questions about their past and present occupational activities concerning pesticide handling. To identify present and past occupational exposure to pesticides, the team used 60 questions focusing mainly on the pesticide type and duration of exposure, how women were contaminated (handling, spraying, washing clothes), and putative intoxications. The exposure criteria were based on continuous, unprotected, and direct handling of pesticides. Women working in rural areas with direct contact with pesticides (pesticide preparation and dilution, spraying, or washing/decontaminating clothes and protection equipment), and who reported being in contact with pesticides at least 50% of their lives at least twice a week during all weeks of the year were considered exposed. The unexposed group consisted of women who reported never being occupationally exposed to pesticides and urban workers with no previous or current history of occupational exposure to pesticides.
Central tendency and dispersion measures were used for descriptive analyses. Data distribution was tested using the Shapiro-Wilk test, and variables with normal distribution were analyzed using parametric tests. When the assumption of normality was not met, non-parametric tests were used. The Student's t-test was used to compare parametric data, and the Mann-Whitney test was used to compare non-parametric data. Data were analyzed using the GraphPad Prism 9.0 software (USA), and a P-value <0.05 was considered significant.
Results
Clinicopathological data from BC patients are shown in Table 1. The explored variables were molecular subtype, tumor size, histological grade, lymph node metastasis, age at diagnosis, menopausal status at diagnosis, and BMI. BC patients exposed to pesticides had significantly more metastases than unexposed ones (P<0.05).
Table 1. Clinicopathological data from breast cancer patients included in the study categorized according to pesticide exposure.
Variable / Group | Category | Percent | P value |
---|---|---|---|
Estrogen receptor | |||
Exposed | Negative | 35.71 | 0.079 |
Positive | 64.29 | ||
Unexposed | Negative | 18.18 | |
Positive | 81.82 | ||
Progesterone receptor | |||
Exposed | Negative | 48.08 | 0.755 |
Positive | 51.92 | ||
Unexposed | Negative | 51.61 | |
Positive | 48.39 | ||
Ki67 (%) | |||
Exposed | <14 | 96.23 | 0.305 |
>14 | 3.77 | ||
Unexposed | <14 | 90.91 | |
>14 | 9.09 | ||
Molecular subtype | |||
Exposed | Luminal A | 34.69 | 0.780 |
Luminal B | 54.08 | ||
HER2 | 1.02 | ||
Triple negative | 10.21 | ||
Unexposed | Luminal A | 40.32 | |
Luminal B | 50.00 | ||
HER2 | 0.00 | ||
Triple negative | 9.68 | ||
Tumor size | |||
Exposed | <2 | 25.89 | 0.586 |
>2 | 74.11 | ||
Unexposed | <2 | 29.58 | |
>2 | 70.42 | ||
Histological grade | |||
Exposed | Grade 1 | 32.71 | 0.369 |
Grade 2 | 46.73 | ||
Grade 3 | 20.56 | ||
Unexposed | Level 1 | 30.99 | |
Level 2 | 39.44 | ||
Level 3 | 29.58 | ||
Metastasis lymph node | |||
Exposed | No | 51.85 | 0.003* |
Yes | 48.15 | ||
Unexposed | No | 73.08 | |
Yes | 26.92 | ||
Age at diagnosis | |||
Exposed | ≤ 50 | 45.70 | 0.650 |
> 50 | 54.30 | ||
Unexposed | ≤50 | 48.57 | |
> 50 | 51.42 | ||
Menopausal status | |||
Exposed | Yes | 51.16 | 0.568 |
No | 48.84 | ||
Unexposed | Yes | 46.15 | |
No | 53.85 | ||
Body mass index | |||
Exposed | Obese | 39.08 | 0.746 |
Eutrophic | 60.92 | ||
Unexposed | Obese | 41.82 | |
Eutrophic | 58.18 |
*P<0.05, Fisher's exact test.
Figure 1 shows cortisol levels in plasma samples from exposed and unexposed BC patients according to the different clinicopathological conditions that determine breast cancer prognosis and behavior. Plasma cortisol levels were significantly higher in the exposed group (45.7±0.8 μg/dL) compared to the unexposed group (Figure 1A, 27.6±0.9 μg/dL, P=0.0085). Cortisol levels were also higher in exposed BC patients with highly aggressive tumors compared to the unexposed group (Figure 1B, 45.7±0.8 μg/dL for BC exposed + high aggressiveness and 19.6±5.21 μg/dL for BC exposed + low aggressiveness, P=0.0093).
BC patients exposed to pesticides and with tumors larger than 2 cm had higher cortisol levels than the unexposed group (Figure 1C, 26.9±0.9 μg/dL and 5.7±0.8 μg/dL, respectively, P=0.0087). Regarding tumor grade (Figure 1D), higher levels of cortisol were detected in exposed patients with high-grade tumors in relation to those with low-grade BC (45.7±0.85 μ/dL and 29.5±0.8 μ/dL, respectively, P=0.0407). In addition, plasma cortisol levels were higher in the exposed BC patients with metastasis (Figure 1E, 37.3±0.8 μg/dL) than in unexposed metastatic BC patients (23.1±0.9 μg/dL).
Table 2 shows the correlation between cortisol levels according to the risk stratification of death and recurrence in BC patients occupationally exposed or not to pesticides. As demonstrated, cortisol levels were significantly higher in BC women exposed to pesticides with a high risk of death and recurrence than in unexposed patients. In Table 3, cortisol levels are shown according to age at diagnosis and BMI in the two groups. No significant differences were found among groups.
Table 2. Cortisol levels according to risk stratification of death and recurrence in patients with breast cancer patients exposed or not to pesticides.
Risk stratification | Unexposed | Exposed | P-value |
---|---|---|---|
Low risk | 12.01±0.95 | 12.57±1.53 | 0.4505 |
Intermediate risk | 12.67±1.05 | 13.17±1.17 | 0.7594 |
High risk | 10.72±1.03 | 15.55±1.25 | 0.0092* |
*P<0.05, Student's t-test.
Table 3. Cortisol levels according to age at diagnosis and body mass index (BMI) in breast cancer patients exposed or not to pesticides.
Parameter | Unexposed | Exposed | P-value |
---|---|---|---|
Age <50 years | 12.51±0.83 | 13.46±1.21 | 0.8442 |
Age ≥50 years | 11.79±0.82 | 13.89±0.96 | 0.2994 |
Eutrophic BMI | 12.49±0.87 | 13.32±1.21 | 0.8887 |
Obese BMI | 11.89±0.80 | 14.01±0.99 | 0.3833 |
BMI: body mass index. Student's t-test.
Discussion
The present study found that chronic and continued pesticide exposure deregulated systemic cortisol levels in BC women, and was associated with poor prognosis. Although the literature concerning cortisol levels in BC patients is scarce and there are no data on pesticide exposure, changes in cortisol levels correlate with early mortality and poor disease prognosis in cancer patients (26). As far as we know, this is the first study addressing the relationship between pesticide exposure, cortisol deregulation, and disease prognosis in BC patients.
The comparative analysis showed that BC women exposed to pesticides had higher circulating cortisol levels than unexposed BC patients, indicating the deregulation of the cortisol axis, since physiological levels are low at the end of the day. Increased levels of pesticides are reported in the plasma of BC patients (27), suggesting that chronic exposure can lead to its constant accumulation in the body. Considering that altered cortisol is a marker of poor prognosis in BC (28) and pesticides are known deregulators of this axis (29), we further investigated cortisol levels according to disease features that are determinants of disease prognosis.
BC prognosis mainly depends on the molecular subtype (30). We demonstrated that BC patients with aggressive tumors occupationally exposed to pesticides had higher cortisol levels. The mechanisms by which pesticides are involved in cancer pathophysiology encompass modifications of gene expression related to proliferation (31). We found significant cortisol changes with tumor size and grade. These changes also occur according to BC subtypes, and the most clinically aggressive tumors, such as triple-negative BC, are usually high-grade and can be very proliferative (32).
Moreover, the more aggressive the tumor, the higher the chance to develop metastasis. Our findings suggested a relationship between BC, pesticide exposure, and cortisol. We found a significantly higher frequency of metastasis in the BC-exposed group and higher levels of cortisol in the pesticide-exposed patients with metastasis. It is suggested that such immunological suppression, among other factors, may be influenced by increased systemic cortisol levels in patients exposed to pesticides, which seems to contribute to metastatic BC and worse clinical outcomes (33). These data are very worrisome because the leading cause of death in cancer patients is not the primary tumor, but the occurrence of metastasis (34).
Despite no evidence about the relationship between cortisol, pesticides, and BC metastasis, the known mechanisms link these events. Inflammation is a leading event in cancer progression and co-exists with cortisol changes in cancer patients (19), leading to metastasis in BC (35). We have previously demonstrated that occupational exposure of BC women to pesticides leads to deregulated inflammation (8). Therefore, the hypothesis that deregulation of both cortisol and the immune response to pesticides affects metastasis is plausible and may have implications for the spreading of BC, as demonstrated here.
This fact has a direct implication on the clinical fate of BC patients. Because of this, we analyzed cortisol levels according to the risk of death and disease recurrence in such patients and found higher cortisol in BC-exposed women categorized as high risk. Occupational pesticide exposure can be a modifier of BC behavior, and several previous studies support this. The authors of one study compared occupationally exposed and unexposed BC patients with intermediate-risk diseases and found many immune-related impairments that occurred only in the exposed group (7). The risk of death is linked to the presence of lymph node metastases and other BC risk factors (36- 39). These findings suggest that intermediate-risk BC patients with pesticide exposure could be evaluated as having high-risk disease behavior.
This study had limitations, including modest sample size, lack of multiple cortisol analyses in a time-dependent manner, and follow-up about disease recurrence and survival. Despite this, the study clearly demonstrated that there was a relationship between pesticide exposure and BC that affected cortisol levels and correlated to poor disease prognosis.
Acknowledgments
The authors thank Fundação Araucária, Programa de Pesquisa Para o SUS (PPSUS, Grant 01/2016 - 48021.501.40135.12042017), Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), and Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq, Edital Universal Grants 402364/2021-0 and 305335/2021-9) for financial support.
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