Assessment of uranium concentration in blood of Iraqi females diagnosed with breast cancer.
Rasha S AhmedRaghad S MohammedPublished in: Radiation and environmental biophysics (2020)
Cancer is a widespread significant health problem in Iraq and contributes 11% to total deaths. Throughout the Gulf Wars of 1991 and 2003, about 1200 tons of ammunition were dropped around Iraq. After the wars, cancer incidence in Iraq is about 7,000 to 8,000 cancers cases per year, and the overall incidence of lymphoma, leukemia, breast cancer, and lung cancer has increased twofold and even tripled, as compared to the time before the wars. This increase could result from environmental pollution with radioactive materials including uranium, as cancer can be caused by ionizing radiation. To investigate this hypothesis, uranium concentration in the blood of 64 Iraqi females has been measured by means of CR-39 track etch detectors (42 blood samples collected from females diagnosed with breast cancer and 22 blood samples from females without breast cancer). The results show that the uranium concentrations ranged from 19.1 ± 0.3 to 238.4 ± 0.4 with an average value of 94.9 ± 5.0 ng L-1 in the blood of women with breast cancer and from 5.2 ± 0.2 to 18.7 ± 0.04 with an average value of 10.5 ± 0.1 ng L-1 in the blood of women without breast cancer. In comparison with the literature data, elevated levels of uranium concentration were recorded in both groups, and significantly higher average uranium concentrations were found in the blood of women with breast cancer as compared to those in the blood samples of women without breast cancer. It is concluded that there is a correlation between the incidence of breast cancer in Iraqi women and elevated levels of uranium concentrations in their blood. Whether this is a casual relationship is unclear, because cancer can be caused by various carcinogens, including environmental pollution in the region.
Keyphrases
- papillary thyroid
- childhood cancer
- healthcare
- risk factors
- systematic review
- squamous cell
- heavy metals
- squamous cell carcinoma
- mental health
- risk assessment
- diffuse large b cell lymphoma
- machine learning
- human health
- skeletal muscle
- bone marrow
- climate change
- pregnant women
- adipose tissue
- insulin resistance
- deep learning
- young adults
- air pollution
- big data