肿瘤微生物群活性与ER + PR +乳腺癌局部复发的关系

IF 1.9
Sean Si Qian Ma, Luyi Ye, Fan Zhang, Tiansheng Xu, Zai-Si Ji, Enuo Liu
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引用次数: 0

摘要

目的本研究旨在比较雌激素受体阳性(ER+)和孕激素受体阳性(PR+)乳腺癌肿瘤微生物群特征作为潜在复发预测因素。方法对52例ER + PR +乳腺癌患者进行福尔马林固定石蜡包埋(FFPE)肿瘤组织的回顾性随访,随访时间超过7年。患者分为三组:局部复发(n = 13),远处转移(n = 17),无复发(n = 22)。从FFPE样品中提取相同的总RNA,分别通过微阵列和16S rRNA测序分析肿瘤组织中的基因表达谱和微生物活性。结果与非复发肿瘤相比,局部复发肿瘤中严格厌氧菌Muribaculaceae与好氧菌Pseudomonas活性的比例显著升高,而远处转移组无显著差异。此外,在所有52个肿瘤中,Muribaculaceae/Pseudomonas活性比显示与癌相关基因PLA2G5、MSMO1和3个小核rna的表达显著相关。结论本研究首次提供了ER+/PR +乳腺癌局部复发患者肿瘤相关微生物群特征的证据,提示其可能作为局部复发的预测性生物标志物。然而,由于样本量有限,这些发现需要在更大的队列中进一步验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tumour microbiota activities associated with local recurrence in ER + PR + breast cancer.

PurposeThis study aimed to compare tumour microbiota characteristics as potential recurrence predictors in estrogen receptor-positive (ER+) and progesterone receptor-positive (PR+) breast cancer.MethodsFormalin-fixed paraffin-embedded (FFPE) tumour tissues were obtained from 52 patients with ER + PR + breast cancer, and patients were retrospectively followed up for over 7 years. Patients were categorized into three groups: local recurrence (n = 13), distant metastasis (n = 17), and no recurrence (n = 22). Gene expression profiles and microbial activity in tumour tissues were analyzed by microarray and 16S rRNA sequencing, respectively, from the same total RNA extracted from FFPE samples.ResultsCompared to nonrecurrent tumours, the ratio of strict anaerobic bacteria Muribaculaceae to aerobic bacteria Pseudomonas activity was significantly upregulated in tumours with local recurrence, while no significant difference was observed in the distant metastasis group. Furthermore, the Muribaculaceae/Pseudomonas activity ratio showed a significant correlation with the cancer relating genes expression of PLA2G5, MSMO1, and three small nuclear RNAs across all 52 tumours.ConclusionThis study provided the first evidence of distinctive features of tumor-associated microbiota in ER+/PR + breast cancer patients with local recurrence, suggesting their potential as predictive biomarker for local recurrence. However, these findings require further validation in larger cohorts due to the limited sample size.

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