Diagnostic and Prognostic Potential of the Resident Non-Small Cell Lung Cancer Microbiome

Ковалева, О. В.; Kushlinskii, N. E.; Podlesnaya, P. A.; Стилиди, И. С.; Gratchev, Alexei

doi:10.51620/0869-2084-2022-67-8-458-462

Cited by 3 publications

(2 citation statements)

References 12 publications

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“…For example Escherichia coli induces DNA damage in vivo and triggers genomic instability in epithelial mammalian cells [ 7 ], H. pylori and Salmonella typhi activate β-catenin signaling, driving gastric and colon cancer respectively [ 8 , 9 ] and Prevotella, Streptococcus and Veillonella , in vitro and in vivo , lead to PI3K and AKT signaling activation [ 10 ]. We have established that, the highest content of bacteria of the genus Phyllobacterium is observed in the case of papillary carcinoma, and their relative abundance of more than 1% tends to indicate a favorable prognosis of the disease [ 11 ].…”

Section: Resident Renal Microbiome In Norm and Pathologymentioning

confidence: 99%

Resident Microbiome of Kidney Tumors

Kovaleva,

Podlesnaya,

Gratchev

2024

Oncol.Rev.

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Emerging research has uncovered the significance of microbiota in carcinogenesis, with specific bacterial infectious agents linked to around 15% of malignant tumors. This review is focused on the resident kidney microbiome, its composition, and alterations in various diseases. Recent studies have shown that bacteria can infiltrate the kidney, with differences between normal and tumor tissue. These studies have identified distinctive microorganisms unique to both conditions, hinting at their potential clinical relevance. Research into the kidney microbiome diversity reveals differences in tumor tissue, with specific taxa associated with different histological types. Notably, the alpha diversity indices suggest variations in bacterial content between tumor and normal tissue, offering insights into potential diagnostic and prognostic use of these markers. Better studied is the impact of the gut microbiome on therapy efficacy in malignant kidney tumors. Antibiotics, which can alter the gut microbiome, have been linked to survival outcomes in patients receiving targeted therapy and immunotherapy. The findings suggest that the uncontrolled use of antibiotics may not only contribute to bacterial resistance but also disrupt the normal microbiome, potentially influencing the development of oncological diseases. In-depth investigation into the resident kidney microbiome is essential for addressing fundamental and practical aspects of kidney tumor development.

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Section: Resident Renal Microbiome In Norm and Pathologymentioning

confidence: 99%

Resident Microbiome of Kidney Tumors

Kovaleva,

Podlesnaya,

Gratchev

2024

Oncol.Rev.

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“…Наиболее изученные изменения микробиоты легких связаны с обострением хронической обструктивной болезни легких (ХОБЛ) [2], астмы [3], муковисцидоза [4], обструктивного апноэ [5] и легочных инфекций [6]. Менее изучены легочные дисбиозы при вирусе иммунодефицита человека (ВИЧ) [7] и разных формах рака легкого [8].…”

Section: Introductionunclassified

Features of the lung microbiota in tuberculosis infection

Orlova,

Ogarkov,

Kolesnikova

2024

Bûll. sib. med.

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Normal lung microbiota is a small number of transient microbes; however, respiratory pathology may be associated with persistent microbial colonization of the lungs. It remains a poorly understood and mysterious part of the pathogenesis of tuberculosis infection.The review considers the general pathogenetic mechanisms of the effect of lung microbiota in respiratory pathology and presents the main methodological difficulties in the study of the lung microbiome. This review is aimed at analyzing the results of the available studies on diverse microbial composition of human lungs in tuberculosis using metagenomic sequencing methods. Despite high variability of the presented data, we can conclude that dysbiosis in tuberculosis is more often characterized by a decrease in bacterial diversity and enrichment of lung microbiota with anaerobic bacteria. Acinetobacter, Campylobacter, Moraxella, Pseudomonas, Staphylococcus, and Streptococcus, as well as some other microorganisms are indicated as important pathogenetic factors of dysbiosis in pulmonary tuberculosis, the role of which is yet to be elucidated.

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Saliva‑microbiome‑derived signatures: expected to become a potential biomarker for pulmonary nodules (MCEPN-1)

Ren,

Ma,

Zeng

et al. 2024

BMC Microbiol

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Background Oral microbiota imbalance is associated with the progression of various lung diseases, including lung cancer. Pulmonary nodules (PNs) are often considered a critical stage for the early detection of lung cancer; however, the relationship between oral microbiota and PNs remains unknown. Methods We conducted a ‘Microbiome with pulmonary nodule series study 1’ (MCEPN-1) where we compared PN patients and healthy controls (HCs), aiming to identify differences in oral microbiota characteristics and discover potential microbiota biomarkers for non-invasive, radiation-free PNs diagnosis and warning in the future. We performed 16 S rRNA amplicon sequencing on saliva samples from 173 PN patients and 40 HCs to compare the characteristics and functional changes in oral microbiota between the two groups. The random forest algorithm was used to identify PN salivary microbial markers. Biological functions and potential mechanisms of differential genes in saliva samples were preliminarily explored using the Kyoto Encyclopedia of Genes and Genomes (KEGG) and Cluster of Orthologous Groups (COG) analyses. Results The diversity of salivary microorganisms was higher in the PN group than in the HC group. Significant differences were noted in community composition and abundance of oral microorganisms between the two groups. Neisseria, Prevotella, Haemophilus and Actinomyces, Porphyromonas, Fusobacterium, 7M7x, Granulicatella and Selenomonas were the main differential genera between the PN and HC groups. Fusobacterium, Porphyromonas, Parvimonas, Peptostreptococcus and Haemophilus constituted the optimal marker sets (area under curve, AUC = 0.80), which can distinguish between patients with PNs and HCs. Further, the salivary microbiota composition was significantly correlated with age, sex, and smoking history (P < 0.001), but not with personal history of cancer (P > 0.05). Bioinformatics analysis of differential genes showed that patients with PN showed significant enrichment in protein/molecular functions related to immune deficiency and energy metabolisms, such as the cytoskeleton protein RodZ, nicotinamide adenine dinucleotide phosphate dehydrogenase (NADPH) dehydrogenase, major facilitator superfamily transporters and AraC family transcription regulators. Conclusions Our study provides the first evidence that the salivary microbiota can serve as potential biomarkers for identifying PN. We observed a significant association between changes in the oral microbiota and PNs, indicating the potential of salivary microbiota as a new non-invasive biomarker for PNs. Trial registration Clinical trial registration number: ChiCTR2200062140; Date of registration: 07/25/2022.

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Diagnostic and Prognostic Potential of the Resident Non-Small Cell Lung Cancer Microbiome

Cited by 3 publications

References 12 publications

Resident Microbiome of Kidney Tumors

Resident Microbiome of Kidney Tumors

Features of the lung microbiota in tuberculosis infection

Saliva‑microbiome‑derived signatures: expected to become a potential biomarker for pulmonary nodules (MCEPN-1)

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