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1.
Int J Mol Sci ; 25(8)2024 04 22.
Article in English | MEDLINE | ID: mdl-38674148

ABSTRACT

It is now generally accepted that the success of antitumor therapy can be impaired by concurrent antibiotic therapy, the presence of certain bacteria, and elevated defensin levels around the tumor tissue. The aim of our current investigation was to identify the underlying changes in microbiome and defensin levels in the tumor tissue induced by different antibiotics, as well as the duration of this modification. The microbiome of the tumor tissues was significantly different from that of healthy volunteers. Comparing only the tumor samples, no significant difference was confirmed between the untreated group and the group treated with antibiotics more than 3 months earlier. However, antibiotic treatment within 3 months of analysis resulted in a significantly modified microbiome composition. Irrespective of whether Fosfomycin, Fluoroquinolone or Beta-lactam treatment was used, the abundance of Bacteroides decreased, and Staphylococcus abundance increased. Large amounts of the genus Acinetobacter were observed in the Fluoroquinolone-treated group. Regardless of the antibiotic treatment, hBD1 expression of the tumor cells consistently doubled. The increase in hBD2 and hBD3 expression was the highest in the Beta-lactam treated group. Apparently, antibiotic treatment within 3 months of sample analysis induced microbiome changes and defensin expression levels, depending on the identity of the applied antibiotic.


Subject(s)
Anti-Bacterial Agents , Microbiota , Urinary Bladder Neoplasms , beta-Defensins , Humans , beta-Defensins/metabolism , Urinary Bladder Neoplasms/drug therapy , Urinary Bladder Neoplasms/metabolism , Urinary Bladder Neoplasms/microbiology , Anti-Bacterial Agents/therapeutic use , Anti-Bacterial Agents/pharmacology , Microbiota/drug effects , Male , Female , Middle Aged , Aged , Fosfomycin/therapeutic use , Fosfomycin/pharmacology , Fluoroquinolones/therapeutic use , Fluoroquinolones/pharmacology , beta-Lactams/therapeutic use , beta-Lactams/pharmacology
2.
Biomedicines ; 10(7)2022 Jul 21.
Article in English | MEDLINE | ID: mdl-35885062

ABSTRACT

Balance between the microbiome associated with bladder mucosa and human beta defensin (HBD) levels in urine is a dynamic, sensitive and host-specific relationship. HBD1-possessing both antitumor and antibacterial activity-is produced constitutively, while the inducible production of antibacterial HBD2 and HBD3 is affected by bacteria. Elevated levels of HBD2 were shown to cause treatment failure in anticancer immunotherapy. Our aim was to assess the relationship between microbiome composition characteristic of tumor tissue, defensin expression and HBD levels measured in urine. Tissue samples for analyses were removed during transurethral resection from 55 bladder carcinoma and 12 prostatic hyperplasia patients. Microbiome analyses were carried out with 16S rRNS sequencing. Levels of HBD mRNA expression were measured with qPCR from the same samples, and urinary amounts of HBD1, 2 and 3 were detected with ELISA in these patients, in addition to 34 healthy volunteers. Mann-Whitney U test, Wilcoxon rank sum test (alpha diversity) and PERMANOVA analysis (beta diversity) were performed. Defensin-levels expressed in the tumor did not clearly determine the amount of defensin measurable in the urine. The antibacterial and antitumor defensin (HBD1) showed decreased levels in cancer patients, while others (HBD2 and 3) were considerably increased. Abundance of Staphylococcus, Corynebacterium and Oxyphotobacteria genera was significantly higher, the abundance of Faecalibacterium and Bacteroides genera were significantly lower in tumor samples compared to non-tumor samples. Bacteroides, Parabacteroides and Faecalibacterium abundance gradually decreased with the combined increase in HBD2 and HBD3. Higher Corynebacterium and Staphylococcus abundances were measured together with higher HBD2 and HBD3 urinary levels. Among other factors, defensins and microorganisms also affect the development, progression and treatment options for bladder cancer. To enhance the success of immunotherapies and to develop adjuvant antitumor therapies, it is important to gain insight into the interactions between defensins and the tumor-associated microbiome.

3.
Sci Rep ; 10(1): 11042, 2020 07 06.
Article in English | MEDLINE | ID: mdl-32632181

ABSTRACT

The microbiota isolated from the urine of bladder carcinoma patients exhibits significantly increased compositional abundance of some bacterial genera compared to the urine of healthy patients. Our aim was to compare the microbiota composition of cancerous tissues and urine samples collected from the same set of patients in order to improve the accuracy of diagnostic measures. Tissue samples were collected from patients during cancer tissue removal by transurethral resection. In parallel, urine samples were obtained by transurethral resectoscopy from the same patients. The V3-V4 region of the bacterial 16S rRNA gene was sequenced and analyzed using the Kraken pipeline. In the case of four patients, duplicate microbiota analysis from distant parts of the cancerous tissues was highly reproducible, and independent of the site of tissue collection of any given patient. Akkermansia, Bacteroides, Clostridium sensu stricto, Enterobacter and Klebsiella, as "five suspect genera", were over-represented in tissue samples compared to the urine. To our knowledge, this is the first study comparing urinary and bladder mucosa-associated microbiota profiles in bladder cancer patients. More accurate characterization of changes in microbiota composition during bladder cancer progression could provide new opportunities in the development of appropriate screening or monitoring methods.


Subject(s)
Microbiota , Urinary Bladder Neoplasms/microbiology , Adult , Aged , Aged, 80 and over , Akkermansia/genetics , Akkermansia/isolation & purification , Bacteroides/genetics , Bacteroides/isolation & purification , Clostridium/genetics , Clostridium/isolation & purification , Enterobacter/genetics , Enterobacter/isolation & purification , Female , Genes, Bacterial , Humans , Klebsiella/genetics , Klebsiella/isolation & purification , Male , Microbiota/genetics , Middle Aged , Mucous Membrane/microbiology , RNA, Ribosomal, 16S/genetics , Species Specificity , Urinary Bladder/microbiology , Urinary Bladder Neoplasms/urine , Young Adult
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