美国罗格斯大学Subhajyoti De和Martin J. Blaser研究组合作提出肿瘤微生物组在胰腺癌中联系细胞程序和免疫。相关论文于2022年10月10日发表在《癌细胞》杂志上。

他们最近开发了宿主-微生物组相互作用的单细胞分析(SAHMI)，这是一种从宿主组织的单细胞测序中恢复和降噪微生物信号的计算管道。他们使用SAHMI来探究两个人类胰腺癌队列中肿瘤-微生物组的相互作用。他们在肿瘤的一个亚群中发现了与体细胞相关的细菌，在非恶性组织中几乎没有。这些细菌主要与肿瘤细胞配对，它们的存在与细胞类型特异性基因表达和通路活性相关，包括细胞运动和免疫信号。模拟结果表明肿瘤浸润淋巴细胞与感染组织中的T细胞非常相似。

最后，利用多个独立的数据集，细胞相关细菌的特征可以预测临床预后。肿瘤-微生物组的串扰可能调节胰腺癌的肿瘤发生，对临床治疗有指导意义。

据介绍，微生物可在多种类型的癌症中检测到，包括在假定的无菌器官中，但它们影响人类肿瘤发生或抗肿瘤反应的背景尚不清楚。

附：英文原文

Title: Tumor microbiome links cellular programs and immunity in pancreatic cancer

Author: Bassel Ghaddar, Antara Biswas, Chris Harris, M. Bishr Omary, Darren R. Carpizo, Martin J. Blaser, Subhajyoti De

Issue&Volume: 2022/10/10

Abstract: Microorganisms are detected in multiple cancer types, including in putatively sterile organs, but the contexts in which they influence oncogenesis or anti-tumor responses in humans remain unclear. We recently developed single-cell analysis of host-microbiome interactions (SAHMI), a computational pipeline to recover and denoise microbial signals from single-cell sequencing of host tissues. Here we use SAHMI to interrogate tumor-microbiome interactions in two human pancreatic cancer cohorts. We identify somatic-cell-associated bacteria in a subset of tumors and their near absence in nonmalignant tissues. These bacteria predominantly pair with tumor cells, and their presence is associated with cell-type-specific gene expression and pathway activities, including cell motility and immune signaling. Modeling results indicate that tumor-infiltrating lymphocytes closely resemble T cells from infected tissue. Finally, using multiple independent datasets, a signature of cell-associated bacteria predicts clinical prognosis. Tumor-microbiome crosstalk may modulate tumorigenesis in pancreatic cancer with implications for clinical management.

DOI: 10.1016/j.ccell.2022.09.009

Source: https://www.cell.com/cancer-cell/fulltext/S1535-6108(22)00438-X