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

Wang, Katie; Nakano, Kento; Naderi, Naghmeh; Bajaj-Elliott, Mona; Mosahebi, Afshin

doi:10.1016/j.breast.2021.07.014

Cited by 10 publications

(7 citation statements)

References 61 publications

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“…The relative abundance of the taxonomic composition of the NAT microbiome shows that Proteobacteria is the most abundant phylum, followed by Firmicutes and Actinobacteria , which is consistent with the results from previous literature ( 9 , 29 , 30 ). Interestingly, we also found the Staphylococcus was associated with BC metastasis ( 18 ) and was more bounteous in patients with BC than that in controls.…”

Section: Discussionsupporting

confidence: 92%

Breast microbiome associations with breast tumor characteristics and neoadjuvant chemotherapy: A case-control study

Sun

et al. 2022

Front. Oncol.

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BackgroundCommensal microbiota have been proven to colonize the mammary gland, but whether their composition is altered in patients with breast cancer (BC) remains elusive. This study intends to explore the breast microbiome differences between benign and malignant diseases and to investigate the impact of neoadjuvant chemotherapy (NAC) on the breast microbiota in patients with BC.MethodsBreast normal adipose tissues (NATs) were collected from 79 patients with BC and 15 controls between July 2019 and November 2021. The BC group consisted of 29 patients who had received NAC and 50 who were non-NAC patients. Participants diagnosed with benign breast disease were recruited as controls. 16S rRNA gene sequencing was used to analyze the bacterial diversity of NATs.ResultsThe community structure of the NAT microbiome was significantly different between the BC and control groups. Proteobacteria decreased (47.40% versus 39.74%), whereas Firmicutes increased (15.71% versus 25.33%) in patients with BC when compared with that in control tissues. Nine genera were enriched in BC NATs, and four genera levels increased in the control group. The associations between differential bacterial genera and breast tumor grade were calculated by Spearman’s correlation. The results showed that tumor grade was positively associated with the relative abundance of Streptococcus and negatively related to Vibrio, Pseudoalteromonas, RB41, and Photobacterium. Moreover, menopause was associated with the microbiota composition change of non-NAC BC patients and related to the significant reduction in the abundance level of Pseudoalteromonas, Veillonella, and Alcaligenes. In addition, NAC was related to the beta diversity of patients with BC and associated with the decrease of Clostridium_sensu_stricto_7 and Clostridium_sensu_stricto_2 in postmenopausal patients. Of note, Tax4Fun functional prediction analysis revealed that the metabolic state was more exuberant in the BC group with upregulating of multiple metabolism-related pathways.ConclusionOur results offer new insight into the relationship between NAC and breast microbiota and help to better characterize the breast microbial dysbiosis that occurs in patients with BC. Further epidemiological studies with larger sample size and well-designed animal experiments are required to elucidate the role of breast microbiota in the therapeutic outcome of BC.

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Section: Discussionsupporting

confidence: 92%

Breast microbiome associations with breast tumor characteristics and neoadjuvant chemotherapy: A case-control study

Sun

et al. 2022

Front. Oncol.

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“…Bacteroidetes are known to play a fundamental role in regulating gut functioning and health, and a reduced abundance of members of this phylum has been associated to several weight disorders, including obesity [50] and diabetes [51]. Moreover, in recent years, a correlation between Bacteroidetes abundance in the gut microbiota of breast cancer-affected patients [52] and microbiota of lung cancer-affected patients [53] has been demonstrated, underlying the important role played by these organisms in such kinds of cancer diseases.…”

Section: Discussionmentioning

confidence: 99%

The Azurin Coding Gene: Origin and Phylogenetic Distribution

et al. 2021

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Azurin is a bacterial-derived cupredoxin, which is mainly involved in electron transport reactions. Interest in azurin protein has risen in recent years due to its anticancer activity and its possible applications in anticancer therapies. Nevertheless, the attention of the scientific community only focused on the azurin protein found in Pseudomonas aeruginosa (Proteobacteria, Gammaproteobacteria). In this work, we performed the first comprehensive screening of all the bacterial genomes available in online repositories to assess azurin distribution in the three domains of life. The Azurin coding gene was not detected in the domains Archaea and Eucarya, whereas it was detected in phyla other than Proteobacteria, such as Bacteroidetes, Verrucomicrobia and Chloroflexi, and a phylogenetic analysis of the retrieved sequences was performed. Observed patchy distribution and phylogenetic data suggest that once it appeared in the bacterial domain, the azurin coding gene was lost in several bacterial phyla and/or anciently horizontally transferred between different phyla, even though a vertical inheritance appeared to be the major force driving the transmission of this gene. Interestingly, a shared conserved domain has been found among azurin members of all the investigated phyla. This domain is already known in P. aeruginosa as p28 domain and its importance for azurin anticancer activity has been widely explored. These findings may open a new and intriguing perspective in deciphering the azurin anticancer mechanisms and to develop new tools for treating cancer diseases.

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“…Human breast tissue and milk harbor unique and diverse microbiota, partially translocated from the gastrointestinal tract [240] as well as from the skin as another putative source of pathogenicity to breast tissue [241]. It is known that the microbiota inhabiting the breast tissue TME is involved in breast carcinogenesis [242].…”

Section: Microbiomics-and Metagenomics-related Disparities In Breast ...mentioning

confidence: 99%

Biological Basis of Breast Cancer-Related Disparities in Precision Oncology Era

Neagu,

Bruno,

Johnson

et al. 2024

IJMS

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Precision oncology is based on deep knowledge of the molecular profile of tumors, allowing for more accurate and personalized therapy for specific groups of patients who are different in disease susceptibility as well as treatment response. Thus, onco-breastomics is able to discover novel biomarkers that have been found to have racial and ethnic differences, among other types of disparities such as chronological or biological age-, sex/gender- or environmental-related ones. Usually, evidence suggests that breast cancer (BC) disparities are due to ethnicity, aging rate, socioeconomic position, environmental or chemical exposures, psycho-social stressors, comorbidities, Western lifestyle, poverty and rurality, or organizational and health care system factors or access. The aim of this review was to deepen the understanding of BC-related disparities, mainly from a biomedical perspective, which includes genomic-based differences, disparities in breast tumor biology and developmental biology, differences in breast tumors’ immune and metabolic landscapes, ecological factors involved in these disparities as well as microbiomics- and metagenomics-based disparities in BC. We can conclude that onco-breastomics, in principle, based on genomics, proteomics, epigenomics, hormonomics, metabolomics and exposomics data, is able to characterize the multiple biological processes and molecular pathways involved in BC disparities, clarifying the differences in incidence, mortality and treatment response for different groups of BC patients.

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

Cited by 10 publications

References 61 publications

Breast microbiome associations with breast tumor characteristics and neoadjuvant chemotherapy: A case-control study

Breast microbiome associations with breast tumor characteristics and neoadjuvant chemotherapy: A case-control study

The Azurin Coding Gene: Origin and Phylogenetic Distribution

Biological Basis of Breast Cancer-Related Disparities in Precision Oncology Era

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