Genetic polymorphisms of PPAR gamma, arsenic methylation capacity and breast cancer risk in Mexican women

Pineda-Belmontes, Cristina P; Hernández-Ramírez, Raúl Ulises; Hernández-Alcaraz, César; Cebrián, Mariano E.; López‐Carrillo, Lizbeth

doi:10.21149/spm.v58i2.7791

Cited by 18 publications

(15 citation statements)

References 28 publications

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“…[8][9][10][11] Eleven casecontrol studies quantified either toenail, hair, blood or urinary arsenic species in breast cancer patients and controls. [12][13][14][15][16][17][18][19][20][21] Generally, the results show a weak or negative correlation with exceptions of reports by Wadhwa et al, and Joo et al, who found arsenic levels to be significantly higher in hair of breast cancer patients as compared to unaffected controls. 21,22 There have been no prospective studies that have examined blood arsenic levels and breast cancer risk.…”

Section: Introductionmentioning

confidence: 83%

“…Four ecological studies evaluated soil, water or rice contamination with arsenic and local breast cancer rates . Eleven case–control studies quantified either toenail, hair, blood or urinary arsenic species in breast cancer patients and controls . Generally, the results show a weak or negative correlation with exceptions of reports by Wadhwa et al ., and Joo et al ., who found arsenic levels to be significantly higher in hair of breast cancer patients as compared to unaffected controls .…”

Section: Introductionmentioning

confidence: 92%

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Blood arsenic levels and the risk of familial breast cancer in Poland

Marciniak

Derkacz

Muszyńska

et al. 2019

Intl Journal of Cancer

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Arsenic is recognized as a potent carcinogen at high concentrations, but the relationship between environmental arsenic and breast cancer risk has not well been studied. Most research has focused on the effect of arsenic in populations with high endemic exposure, and not in populations with arsenic levels within normal limits. We sought to determine if blood arsenic levels predict the risk of breast and other cancers risk among women in northern Poland. The cohort consisted of 1,702 healthy women, aged 40 and above, identified between 2010 and 2017. Blood arsenic level was determined by inductively coupled plasma mass spectrometry. After an average of 4.5 years of follow‐up (range 0.7–7.3 years), there were 110 incident cases of cancer diagnosed in the cohort, including 68 cases of breast cancer. Women in the highest quartile of arsenic had a highly significant 13‐fold increased risk of developing breast cancer, compared to women in the lowest quartile (hazard ratio [HR] = 13.2; 95% confidence interval [CI] 4.02–43.0). Results were similar for arsenic and all incident cancers (HR quartile 4 vs. quartile 1 = 13.3; 95% CI 4.78–37.0). If confirmed, our study suggests that the blood arsenic level may be a useful predictive marker of cancer risk in women.

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Section: Introductionmentioning

confidence: 83%

Section: Introductionmentioning

confidence: 92%

Blood arsenic levels and the risk of familial breast cancer in Poland

Marciniak

Derkacz

Muszyńska

et al. 2019

Intl Journal of Cancer

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“…In our study, a decreased methylation capacity was registered in cases compared with that measured in controls, and positive associations between BC and As III , As V and iAs (a non‐methylated As metabolite) were found. Similarly, Pineda‐Belmontes, Hernandez‐Ramirez, Hernandez‐Alcaraz, Cebrian and Lopez‐Carrillo () reported an increased risk for BC in those females with a high first methylation ratio. The reduction of biotransformation from iAs to methylated species recorded in our cases suggests either saturation or inhibition of methylation, which could represent a potential risk factor for BC development and for all the pathways involved in As biotransformation/detoxification, including the Hippo pathway.…”

Section: Discussionmentioning

confidence: 84%

Assessment of YAP gene polymorphisms and arsenic interaction in Mexican women with breast cancer

Michel-Ramirez

Recio-Vega

Lantz

et al. 2019

J of Applied Toxicology

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The identification of gene‐environment interactions related to breast cancer reveals the biological and molecular mechanisms underlying the disease and allows the distinction of women at high risk from women at lower risk, which could decrease the morbimortality of this neoplasm. The current study evaluated the association between polymorphisms rs1820453 and rs11225161 of the Yes‐associated protein (YAP) gene in women with breast cancer exposed to arsenic (As) through drinking water. In total, 182 women were assessed for the frequency of YAP rs1820453 and rs11225161 polymorphisms and As urinary levels. The results demonstrated a positive and significant association between breast cancer and smoking, type of drinking water, and levels of AsIII, AsV and inorganic As (iAs) but not the YAP gene polymorphisms evaluated. In conclusion, our data showed that the source of drinking water and AsV and iAs urinary levels increased the risk for breast cancer, but no interactions between YAP gene polymorphisms and As urinary levels were found.

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“…Indeed, arsenic-enriched water is one of the critical challenges in Kerman (36). Arsenic has been categorised as a Group 1 carcinogen factor by the International Agency for Research on Cancer (IARC) (40) and some studies associate arsenic and breast cancer (41)(42)(43)(44); its presence in the study area is thus a potential explanation for the increased incidence of breast cancer found. However, other studies did not show any signi cant association with arsenic (45,46).…”

Section: Resultsmentioning

confidence: 99%

Spatio-temporal Mapping of Breast and Prostate Cancer in South Iran During 2014-2017

Montazeri

Hoseini

Firouraghi

et al. 2020

Preprint

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Abstract Background: Breast and prostate cancers are the most common gender-specific malignancies. In developing countries, screening of all population at risk of cancers is impractical because of the healthcare resource limitations. Thus, determining the high-risk areas of Cancers might be an important step to conduct a screening program at high-risk areas. This study explores potential high-risk clusters in the incidence pattern of breast and prostate cancers in southern Iran. Methods: This cross-sectional study was conducted in the province of Kerman, South Iran. Patient data were aggregated at the county and district levels and the incidence rate per 100,000 people for both breast and prostate cancer were calculated. We used the natural break classification with five classes to produce descriptive maps. A spatial clustering analysis ( Anselin Local Moran’s I ) was used to identify potential clusters and outliers in the pattern of these cancers from 2014 to 2017. Results: The Age-Standardised Incidence Rate of breast cancer showed an increase from 29.93 to 32.27 cases per 100,000 people and prostate cancer from 13.93 to 15.47 cases per 100,000 during 2014–2017. Cluster analysis at the county level identified high-high clusters of breast cancer in the North-West of the province for all years, but the analysis at the district level showed high-high clusters for only two of the years. Furthermore, cluster analysis at the county and district levels of prostate cancer also identified high-high clusters in the North-West of the province for two years. Conclusions: North-West Kerman had a significantly higher incidence rate of both breast and prostate cancer. These findings may help to design tailored screening and surveillance systems. Furthermore, this study generates new hypotheses to test potential relationships between environmental risk factors and incidence of cancers in areas with higher cancer risk.

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Genetic polymorphisms of PPAR gamma, arsenic methylation capacity and breast cancer risk in Mexican women

Cited by 18 publications

References 28 publications

Blood arsenic levels and the risk of familial breast cancer in Poland

Blood arsenic levels and the risk of familial breast cancer in Poland

Assessment of YAP gene polymorphisms and arsenic interaction in Mexican women with breast cancer

Spatio-temporal Mapping of Breast and Prostate Cancer in South Iran During 2014-2017

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