Association of the commensal urinary microbiome with response to Bacillus Calmette-Guérin (BCG) immunotherapy in nonmuscle invasive bladder cancer.

医学 膀胱癌 内科学 微生物群 厚壁菌 尿 癌症 泌尿系统 肿瘤科 胃肠病学 泌尿科 生物信息学 生物 16S核糖体RNA 遗传学 细菌
作者
Randy F. Sweis,Shay Golan,Nimrod Barashi,Elle Hill,Ciro Andolfi,Ryan P. Werntz,Jeffrey Bloodworth,Gary D. Steinberg
出处
期刊:Journal of Clinical Oncology [American Society of Clinical Oncology]
卷期号:37 (7_suppl): 423-423 被引量:17
标识
DOI:10.1200/jco.2019.37.7_suppl.423
摘要

423 Background: Standard therapy for high-risk non-muscle invasive bladder cancer (NMIBC) is intravesical BCG. Despite its established efficacy, up to 50% of patients may recur. The development of predictive biomarkers for BCG immunotherapy would enhance treatment algorithms and potentially uncover mechanisms of resistance. Recent data have characterized the presence of a commensal urine microbiome, but its role in BCG-treated NMIBC patients remains unexplored. We assessed the composition of the urine microbiome in NMIBC patients and evaluated associations with response to therapy. Methods: Patients with a newly diagnosed bladder tumor were enrolled prior to TURBT on an institutional review board-approved study at a single institution. Adjuvant BCG instillation was administrated to high-risk patients according to the surgical histology. Urine samples for microbiome assessment were collected by catheterization to eliminate urethral contamination before the TURBT and up to 8 additional timepoints. 16S sequencing and analysis was performed on baseline specimens prior to BCG. Results: Among 31 patients enrolled, 10 (32%) recurred and 21 (68%) had no recurrence with a median follow up of 6 months. Median age was 69 years (range 46-87), and 9 (29%) patients were female and 22 patients (71%) were male. The most abundant phyla observed were Actinobacteria, Bacteroidetes, Firmicutes, Proteobacteria, and Tenericutes. Together these accounted for > 99% of the phyla detected in the cohort. Global analysis of distances by operational taxonomic units (OTUs) indicated a significant difference between patients with and without recurrence (Bonferroni-corrected P = 0.017). The abundance of Proteobacteria was higher in patients with recurrence (P = 0.035), with stronger differences observed for specific classes such as Gammaproteobacteria (P = 0.0025). Firmicutes such as Lactobacillales were more abundant in patients without recurrence (P = 0.049). Conclusions: In this study we detected variation in the composition of the urine microbiome in NMIBC patients, which may predict response to BCG immunotherapy. Further studies to confirm these results are ongoing.

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