Ginwala Rashida, Bukavina Laura, Sindhani Mohit, Nachman Erika, Peri Suraj, Franklin Jodie, Drevik John, Christianson Sarah, Geynisman Daniel M, Kutikov Alexander, Abbosh Philip H
Fox Chase Cancer Center, Philadelphia, PA, United States.
Department of Urology, Cleveland Clinic Foundation, Cleveland, OH, United States.
Front Oncol. 2025 Jul 21;15:1506319. doi: 10.3389/fonc.2025.1506319. eCollection 2025.
BACKGROUND: The microbiome is widely known to cause come types of cancer, modify cancer biology, and impact therapeutic efficacy. Despite the urinary microbiome being one of the most clinically significant microbiomes in human health, it is one of the least well-described. METHODS AND MATERIALS: To begin to annotate the urinary microbiome present in bladder cancers, we analyzed human genome-filtered sequencing data from the Cancer Genome Atlas (TCGA) from 116 tumors (duplicates from 22 tumors), 22 adjacent normal bladder tissues, and 99 blood samples to classify reads originating from known microbiota. We also performed 16S rRNA sequencing on urine samples from 55 patients with urothelial carcinoma and 13 non-cancer patients. Additionally, we compared microbiome from matched urine samples and archival diagnostic tumor samples from 21 bladder cancer patients. For our animal experiments, starting at 8-12 weeks of age, male (n=33) and female (n=22) C57BL/6 mice were administered 0.05% N-butyl-N-(4-hydroxybutyl)-nitrosamine (BBN) in drinking water for 12 weeks then switched to regular water. Control mice drank regular water. Bladders were collected for 16S rRNA sequencing pre-exposure, after 6 and 12 weeks of exposure, and at the time of tumor identification (typically between 14-22 weeks from start of treatment using this model). Finally, because of our findings, we tested the effects of infection on gemcitabine toxicity in bladder cancer cell lines. RESULTS: Twenty-seven viral and bacterial species were found to be enriched in the tumor samples from TCGA cohort, including sex-specific enrichment of and in female bladder cancer patients which also are prevalent in the normal female genitourinary tract. We found key differences in urinary microbiota profiles that distinguish cancer patients from healthy control. We also found and were enriched in patients who did not respond to neoadjuvant chemotherapy while was enriched in responders. Additionally, we found 32% overlap between microbiota of urine and archival diagnostic tumor samples. Because bladder cancer patients undergoing surgical procedures are exposed to a single dose of peri-procedure antibiotics, we took advantage of a 'natural experiment' to measure microbial changes in urology patients receiving a single dose of antibiotics for skin procedures, finding that there are very few changes that persist for 1 month. Additionally, we measured microbial changes during BBN-induced carcinogenesis in a mouse model and observed that changes are more likely related to BBN exposure itself rather than carcinogenesis as changes induced by BBN resolve after BBN withdrawal. Lastly, urine from bladder cancer patients harbored abundant Gammaproteobacteria, which in cell culture experiments, detoxified gemcitabine, a commonly used therapy in bladder cancer. CONCLUSIONS: In summary, we identify many new relationships between the microbiome and bladder cancer that are clinically relevant and lay the groundwork important functional studies in the future.
背景:微生物群广为人知会引发某些类型的癌症、改变癌症生物学特性并影响治疗效果。尽管尿液微生物群是人类健康中临床上最重要的微生物群之一,但它却是描述最少的微生物群之一。 方法和材料:为了开始注释膀胱癌中存在的尿液微生物群,我们分析了来自癌症基因组图谱(TCGA)的116个肿瘤(22个肿瘤的重复样本)、22个相邻正常膀胱组织和99份血液样本的人类基因组过滤测序数据,以对源自已知微生物群的读数进行分类。我们还对55例尿路上皮癌患者和13例非癌症患者的尿液样本进行了16S rRNA测序。此外,我们比较了21例膀胱癌患者匹配的尿液样本和存档诊断肿瘤样本中的微生物群。对于我们的动物实验,从8 - 12周龄开始,给雄性(n = 33)和雌性(n = 22)C57BL/6小鼠在饮用水中给予0.05%的N - 丁基 - N -(4 - 羟基丁基)亚硝胺(BBN),持续12周,然后换成普通水。对照小鼠饮用普通水。在暴露前、暴露6周和12周后以及肿瘤识别时(通常在开始使用该模型治疗后的14 - 22周之间)收集膀胱进行16S rRNA测序。最后,基于我们的发现,我们测试了感染对膀胱癌细胞系中吉西他滨毒性的影响。 结果:在TCGA队列的肿瘤样本中发现27种病毒和细菌物种富集,包括在女性膀胱癌患者中特定性别的富集以及在正常女性泌尿生殖道中也普遍存在。我们发现区分癌症患者与健康对照的尿液微生物群谱存在关键差异。我们还发现和在对新辅助化疗无反应的患者中富集,而在有反应的患者中富集。此外,我们发现尿液和存档诊断肿瘤样本的微生物群之间有32%的重叠。由于接受外科手术的膀胱癌患者会接受单剂量的围手术期抗生素,我们利用一项“自然实验”来测量接受单剂量抗生素用于皮肤手术的泌尿外科患者的微生物变化,发现持续1个月的变化非常少。此外,我们在小鼠模型中测量了BBN诱导致癌过程中的微生物变化,并观察到这些变化更可能与BBN暴露本身有关,而不是致癌作用,因为BBN撤药后由BBN诱导的变化会消失。最后,膀胱癌患者的尿液中含有丰富的γ - 变形菌,在细胞培养实验中,这些细菌使吉西他滨解毒,吉西他滨是膀胱癌常用的一种治疗药物。 结论:总之,我们确定了微生物群与膀胱癌之间许多临床上相关的新关系,并为未来重要的功能研究奠定了基础。
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