Showing 4 results for Breast Neoplasms
Behnaz Vanaky, Nader Shakeri, Hojat Allah Nikbakht, Parvin Farzanegi,
Volume 12, Issue 3 (5-2018)
Abstract
ABSTRACT
Background and Objectives: Breast cancer is one of the most common cancers among women. Cardiovascular disease is one of the most important complications of breast cancer. The aim of this study was to investigate the effects of six weeks of swimming on malondialdehyde (MDA) and superoxide dismutase (SOD) levels in the heart tissue of mice with breast cancer.
Method: Breast cancer was induced in 30 female Balb/c mice (6-8 weeks old, weighing 150-200 g) by tumor transplantation. The tumor site was examined every day for the formation or absence of tumor. After becoming familiar with the laboratory environment and swimming pool, the subjects were randomly divided into three equal groups: 1. healthy control, 2. cancer control, and 3. swimming-cancer. The swimming group performed swimming training 60 minutes/day, five days a week, for six weeks. After the intervention, the levels of SOD and MDA in the heart tissue samples were evaluated by enzyme-linked immunosorbent assay. Data were analyzed in SPSS (version 16) using independent t-test at significance of 0.05
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Results: The results showed that induction of breast cancer was accompanied by a significant increase in MDA and a significant decrease in SOD in the heart tissue of mice. Participation in the six-week swimming significantly reversed these effects
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Conclusion: Swimming could have beneficial effects in improving oxidative factors in breast cancer patients.
Keywords:
Breast Neoplasms, Heart, Malondialdehyde, Superoxide Dismutase, Swimming.
Abdolrasoul Hakim Elahi, Rasoul Sharifi, Minoo Mahmoodi, Seyed Mehrdad Kassaee,
Volume 14, Issue 5 (9-2020)
Abstract
Background and objectives: The aim of this study was to evaluate the effectiveness of octopine (phytogenic-derivative of arginine) on antioxidant indices, trace elements and lipid profiles of a mouse model of breast cancer.
Methods: In this study, 48 Balb/c mice were divided into six groups: healthy control, cancer control, cancer group receiving 50 mg of octopine, cancer group receiving 100 mg of octopine and cancer group receiving 150 mg of octopine. The octopine treatment was carried out for three weeks. The 4T1 cell line was used to induce cancer. Fasting blood samples were taken from mice to evaluate lipid profile, copper and zinc levels. Malondialdehyde, superoxide dismutase and glutathione peroxidase activity in breast tumor tissues was evaluated. Data were analyzed by SPSS 18 software using one-way ANOVA and t-test.
Results: Octopine had no significant effect on superoxide dismutase and glutathione peroxidase activity in the treatment group compared with the control cancer group. However, it significantly increased total antioxidant capacity and decreased malondialdehyde activities. Furthermore, treatment with octopine significantly decreased serum zinc, copper, TG, cholesterol and low-density lipoprotein levels but significantly increased high-density lipoprotein compared with the untreated cancer group.
Conclusion: Octopine administration is effective in reducing some oxidative stress indices and improving trace elements abnormalities and lipid profile in mouse models of breast cancer.
Ahmad Hamta, Maliheh Hosseinpour, Majid Komijani,
Volume 15, Issue 4 (7-2021)
Abstract
Background and objectives: Breast cancer is the leading cause of death in women. Cytokines regulate the intensity and continuity of immune response by balancing cell-mediated immunity and humoral responses. This study aimed to investigate the relationship between two polymorphisms of the interleukin-16 (IL-16) gene and risk of breast cancer.
Methods: Blood samples were collected from 80 breast cancer patients and 80 healthy individuals. Polymorphisms rs11556218 T/G and rs4072111 C/T were investigated by polymerase chain reaction-restriction fragment length polymorphism (RFLP-PCR). Then, genotype and allele frequency distributions were evaluated in each group using the SPSS software (version 24).
Results: The frequency of genotype rs11556218 differed significantly between the patients and controls (P=0.007). The TG genotype (odds ratio [OR]= 2.471, 95% confidence intervals [CI]: 1.229-4.965, P= 0.001) and total TG+GG genotypes (OR= 3.095, 95% CI: 1.624-5.899, P= 0.001) had a significant relationship with increased risk for breast cancer. The allele and genotype frequencies of rs4072111 C/T polymorphism did not differ significantly between the patients and controls.
Conclusion: Our findings suggest that the rs11556218 T/G polymorphism of the IL-16 gene may be associated with susceptibility to breast cancer.
Jasmin Mulani, Bhalchandra Murhar, Rajesh Jambhulkar, Gyanshankar Mishra,
Volume 16, Issue 1 (1-2022)
Abstract
Background and objectives: Prolactin is a lactogenic protein hormone secreted by the anterior pituitary that initiates and maintains lactation in mammals. Previous research has linked increased serum prolactin levels to breast cancer. However, there is a paucity of studies in the Indian population on the subject. The present study evaluated and compared serum prolactin levels in patients with breast cancer and patients with benign breast diseases.
Methods: This cross-sectional, comparative study was carried out at the Government Medical College, Nagpur (India) on patients with breast diseases in the out-patient department/in-patient department from June 2018 to November 2020. Breast cancer patients were considered cases, and those with benign breast diseases were considered controls. Breast carcinoma diagnosis was based on clinical features, fine needle aspiration cytology, and tissue histopathology in operated specimens for each patient. Fasting serum prolactin levels were measured by the chemiluminescence immunoassay method using the Advia Centaur immunoassay system.
Results: There were 120 female patients with breast diseases, of whom 60 had breast malignancy, and 60 had benign breast diseases. The mean age of patients with benign breast disease and breast cancer was 33.17 (1.75) and 49.77 (1.16) years, respectively (P<0.0005). Increased serum prolactin levels were observed in 93.3% of patients with breast cancer and 13.3% of patients with benign breast diseases. The mean serum prolactin level was significantly higher among breast cancer patients (102.68±7.03) ng/ml compared with patients with benign breast disease (16.31±1.72 ng/ml). We successfully determined a new cut-off value of serum prolactin level (>40.2 ng/ml) to differentiate breast cancer from benign breast diseases using the receiver operating characteristic curve analysis.
Conclusion: Patients with breast cancer have increased serum prolactin levels compared to patients with benign breast diseases. Thus, serum prolactin level can be used as a diagnostic marker for breast cancer. This is particularly beneficial to clinicians for differentiating breast cancer from benign breast diseases.
