关键词: Biomarker Database Introtumoral microbiome Tumor microenvironment

Mesh : Humans Neoplasms / microbiology immunology Prognosis Tumor Microenvironment / immunology Microbiota / immunology Bacteria / immunology classification genetics Fungi / immunology pathogenicity Immunophenotyping

来  源:   DOI:10.1016/j.canlet.2024.217077

Abstract:
The existence of microbiome in human tumors has been determined widely, but evaluating the contribution of intratumoral bacteria and fungi to tumor immunity and prognosis from a pan-cancer perspective remains absent. We designed an improved microbial analysis pipeline to reduce interference from host sequences, complemented with integration analysis of intratumoral microbiota at species level with clinical indicators, tumor microenvironment, and prognosis across cancer types. We found that intratumoral microbiota is associated with immunophenotyping, with high-immunity subtypes showing greater bacterial and fungal richness compared to low-immunity groups. We also noted that the combination of fungi and bacteria demonstrated promising prognostic value across cancer types. We, thus, present The Cancer Microbiota (TCMbio), an interactive platform that provides the intratumoral bacteria and fungi data, and a comprehensive analysis module for 33 types of cancers. This led to the discovery of clinical and prognostic significance of intratumoral microbes.
摘要:
人类肿瘤中微生物组的存在已被广泛确定,但是从泛癌症角度评估肿瘤内细菌和真菌对肿瘤免疫和预后的贡献仍然缺乏。我们设计了一种改进的微生物分析管道,以减少宿主序列的干扰,补充了物种水平的肿瘤内微生物群与临床指标的整合分析,肿瘤微环境,和不同癌症类型的预后。我们发现肿瘤内微生物群与免疫表型相关,与低免疫力组相比,高免疫力亚型显示出更大的细菌和真菌丰富度。我们还注意到真菌和细菌的组合显示出不同癌症类型的有希望的预后价值。我们,因此,目前的癌症微生物群(TCMbio),提供肿瘤内细菌和真菌数据的互动平台,和33种癌症的综合分析模块。这导致发现了肿瘤内微生物的临床和预后意义。
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