Distinguishing the significance of blood microbes in epithelial ovarian cancer.

Gut microbes reports Pub Date : 2026-01-01 Epub Date: 2026-02-02 DOI:10.1080/29933935.2026.2623562
Diane E Mahoney, Prabhakar Chalise, Dong Pei, Rachel Griffard-Smith, Trisha Home, Harsh B Pathak, Shahid Umar, Andrew K Godwin
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Abstract

The human microbiome has generated growing interest in epithelial ovarian cancer (EOC) research, yet investigations of the blood microbiome remain sparse. This study explored plasma microbial signatures unique to EOC. We accessed 180 age/race/ethnicity-matched archival plasma samples from women with (1) EOC; (2) commonly diagnosed non-EOC solid tumors in women; (3) benign gynecologic conditions; and (4) age/race/ethnicity-matched controls. The microbial profiles of the plasma specimens were assessed using an amplicon-based sequencing method that targets the 16S rRNA gene in the bacterial genome. A stringent bioinformatic pipeline was applied to filter out suspicious bacterial contaminants at the genus level. Bioinformatic decontamination analysis removed 225 high-risk bacterial contaminants. The remaining 339 high-confidence bacteria were included in the final analysis for differential abundances in the plasma between the study groups. Women with EOC, which were primarily of the high-grade serous ovarian carcinoma histologic subtype, had significantly distinct differential abundances of the genera Brevibacterium (p < 0.001), Chloronema (p < 0.001), Facklamia (p < 0.001), Sutterella (p < 0.001), and Zymomonas (p < 0.001) when compared to the other study groups. These results suggest that plasma EOC-associated bacteria could be further exploited in follow-up studies to validate clinical applicability in disease screening, diagnostics, and risk stratification.

区分血液微生物在上皮性卵巢癌中的意义。
人类微生物组对上皮性卵巢癌(EOC)的研究产生了越来越大的兴趣,但对血液微生物组的研究仍然很少。本研究探索了EOC特有的血浆微生物特征。我们获取了180份年龄/种族/民族匹配的档案血浆样本,这些样本来自:(1)EOC女性;(2)女性常见病非eoc实体瘤;(3)妇科良性疾病;(4)年龄/种族/民族匹配对照。使用基于扩增子的测序方法评估血浆标本的微生物谱,该方法针对细菌基因组中的16S rRNA基因。采用严格的生物信息学管道,在属水平上过滤掉可疑的细菌污染物。生物信息学去污分析去除225种高危细菌污染物。剩余的339种高可信度细菌被纳入了研究组血浆中丰度差异的最终分析。EOC女性主要为高级别浆液性卵巢癌组织学亚型,与其他研究组相比,短杆菌属(p < 0.001)、绿螺旋体(p < 0.001)、法氏菌属(p < 0.001)、苏氏菌属(p < 0.001)和单胞菌属(p < 0.001)的丰度差异显著。这些结果表明,血浆eoc相关细菌可以在后续研究中进一步开发,以验证疾病筛查、诊断和风险分层的临床适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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