Comparative analysis of racial differences in breast tumor microbiome

Thyagarajan, Srikantha; Zhang, Yan; Thapa, Santosh; Allen, Michael S.; Phillips, Nicole; Chaudhary, Pankaj; Kashyap, Meghana V.; Vishwanatha, Jamboor K.

doi:10.1038/s41598-020-71102-x

Cited by 45 publications

(54 citation statements)

References 62 publications

(67 reference statements)

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“…Similar to what is observed in the skin samples, the breast tissue demonstrates predominance of Proteobacteria and Firmicutes ( Table 1 B.). Reduced Proteobacteria abundance in BD samples is evident in studies comparing HC to BD [ [22] , [23] , [24] , [25] ]. Although subtle differences in Firmicutes abundance between HC and BD samples are observed, no overarching trend in predominance of these organisms can be established at the phyla level.…”

Section: Resultsmentioning

confidence: 99%

“…Reduced Proteobacteria abundance in BD samples is evident in studies comparing HC to BD. [22][23][24][25] Although subtle differences in Firmicutes abundance between HC and BD samples are observed, no overarching trend in predominance of these organisms can be established at the phyla level.…”

Section: Phyla Of Healthy and Diseased Breastmentioning

confidence: 99%

“…It has been shown that the incidence of primary cancers is greater following S. aureus bacteraemia, 31 and a strong association is seen with S. aureus colonisation and squamous cell carcinoma. 32 Other taxa shown to have increased prevalence in BC include: Bacillus, Bacteroidetes, Brevundimonas, Comamonadaceae, Enterobacteriaceae, and Methylobacterium 27,24,25 (Figure 3). Literature has found the skin microbiota to harbour these taxa, 14 speculating the potential for microbial transfer from the skin to tissue.…”

Section: J O U R N a L P R E -P R O O Fmentioning

confidence: 99%

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Is the skin microbiota a modifiable risk factor for breast disease?: A systematic review

et al. 2021

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Section: Resultsmentioning

confidence: 99%

Section: Phyla Of Healthy and Diseased Breastmentioning

confidence: 99%

Section: J O U R N a L P R E -P R O O Fmentioning

confidence: 99%

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Is the skin microbiota a modifiable risk factor for breast disease?: A systematic review

et al. 2021

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“…In addition, the bacteria associated with breast cancer shared b-glucuronidase activity and, therefore, the authors suggested that this enzymatic activity may promote breast cancer. Recently, two studies described racial differences in the microbiome of breast tumors (Smith et al, 2019;Thyagarajan et al, 2020) while another study identified differences in diversity and composition not only between tumor and normal tissue but also among women and between the breasts of the same woman (Klann et al, 2020).…”

Section: Microbiota Of the Breast Tissue Of Non-lactating Womenmentioning

confidence: 99%

The Microbiota of the Human Mammary Ecosystem

Fernández

Pannaraj

Rautava

et al. 2020

Front. Cell. Infect. Microbiol.

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Human milk contains a dynamic and complex site-specific microbiome, which is not assembled in an aleatory way, formed by organized microbial consortia and networks. Presence of some genera, such as Staphylococcus, Streptococcus, Corynebacterium, Cutibacterium (formerly known as Propionibacterium), Lactobacillus, Lactococcus and Bifidobacterium, has been detected by both culture-dependent and culture-independent approaches. DNA from some gut-associated strict anaerobes has also been repeatedly found and some studies have revealed the presence of cells and/or nucleic acids from viruses, archaea, fungi and protozoa in human milk. Colostrum and milk microbes are transmitted to the infant and, therefore, they are among the first colonizers of the human gut. Still, the significance of human milk microbes in infant gut colonization remains an open question. Clinical studies trying to elucidate the question are confounded by the profound impact of non-microbial human milk components to intestinal microecology. Modifications in the microbiota of human milk may have biological consequences for infant colonization, metabolism, immune and neuroendocrine development, and for mammary health. However, the factors driving differences in the composition of the human milk microbiome remain poorly known. In addition to colostrum and milk, breast tissue in lactating and non-lactating women may also contain a microbiota, with implications in the pathogenesis of breast cancer and in some of the adverse outcomes associated with breast implants. This and other open issues, such as the origin of the human milk microbiome, and the current limitations and future prospects are addressed in this review.

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“…Studies have demonstrated that nature environmental, host genetic, and socioeconomic factors influence the breast cancer prevalence landscape with a farreaching influence on racial disparity to subtypes of breast cancer [35]. The socioeconomic effects on the incidence and death of the breast cancer need pay enough attentions, the socio-economic disparities in breast cancer survival prevail even in this relatively homogenous society [36].…”

Section: Introductionmentioning

confidence: 99%

Mapping of female breast cancer incidence and mortality rates to socioeconomic factors cohort: Path diagram analysis

Peng

Ren

Cheng

et al. 2020

Preprint

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BACKGROUND: Breast cancer is the leading cause of death in females around the world. Its occurrence and development has been linked to genetic factors, living habits and health conditions, and socioeconomic factors. Comparisons of incidence and mortality rates of female breast cancer are useful approaches to define cancer-related socioeconomic disparities. METHODS: This was a retrospective observational cohort study on breast cancer of females in several developed countries between 1980 and 2012. The path diagram analysis for five factors, i.e. years, population, gross domestic product, gross domestic product per capita, and unemployment rate, were conducted using Excel database function, and the effects on breast cancer incidence and mortality rates were analyzed. International Agency for Research on Cancer's CANCERMondial clearinghouse was used to determine the incidence and mortality rates of female breast cancer data from several developed countries for 1980–2012. RESULTS: The relationship between socioeconomic factors and the occurrence and development of breast cancer did not follow a monotonic function. We found a positive, significant association of national public wealth on the incidence and mortality of breast cancer. The path coefficients in the structural equations model are -0.51 and -0.39, respectively. In addition to the significant relationship between individual physical and psychological characteristics, social pressure, such as unemployment rate has a significant impact on the incidence and mortality of breast cancer. The path coefficients in the structural equations model are all 0.2. The path coefficients of individual economic wealth to the incidence rate and mortality rate of breast cancer is 0.18 and 0.27, respectively. CONCLUSIONS: A significant statistical relationship between the socioeconomic development and the crude rates of female breast cancer was shown in this study. The incidence and mortality rates of breast cancer can be regulated effectively by a moderate increase in national public wealth, and clearly was affected by the individual’s economic wealth. In addition, the influence of social pressure (e.g., unemployment rate) on the incidence and mortality of breast cancer was not typical monotonous. The survival rate of breast cancer determined by the ratio of mortality rate to incidence rate also showed a similar pattern with socioeconomic factors.

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Comparative analysis of racial differences in breast tumor microbiome

Cited by 45 publications

References 62 publications

Is the skin microbiota a modifiable risk factor for breast disease?: A systematic review

Is the skin microbiota a modifiable risk factor for breast disease?: A systematic review

The Microbiota of the Human Mammary Ecosystem

Mapping of female breast cancer incidence and mortality rates to socioeconomic factors cohort: Path diagram analysis

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