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公共数据库基础研究Science advances

A systematic pan-cancer analysis of intratumoral microbiota-derived epitopes to inform cancer immunotherapy and prevention.

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基于对1190份样本、涵盖24种癌症类型的泛癌分析,构建了肿瘤内微生物表位图谱。分析显示,微生物表位较人类表位具有更高的疏水性、脂肪族指数和稳定性;9种HLA-I等位基因倾向结合微生物表位,其中HLA-C等位基因呈递微生物表位的倾向强于HLA-A和HLA-B。能够产生HLA-I表位的微生物物种在肿瘤中更为普遍,广泛检测到的表位跨越更多癌症类型,多个微生物属可产生大量免疫原性表位。同源微生物表位与肿瘤抗原可引发交叉反应性T细胞应答,实验证据表明微生物表位具有增强的免疫原性和抗肿瘤效力。研究结果为微生物表位疫苗开发奠定基础,为癌症预防和治疗提供思路。

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完整作者

Donghao Li、Hao Wang、Jiyu Guo、Feng Leng、Xinran Zhi、Manyu Gong、Mengqian Zeng、Kefan Liu、Yuhong Sun、Yongsheng Li、Ying Zhang、Juan Xu

作者机构

  • State Key Laboratory of Frigid Zone Cardiovascular Diseases (SKLFZCD), College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, Heilongjiang Province 150081, China.
  • State Key Laboratory of Frigid Zone Cardiovascular Diseases (SKLFZCD), Department of Pharmacology (StateKey Laboratory-Province Key Laboratories of Biomedicine-Pharmaceutics of China, Key Laboratory of Cardiovascular Research, Ministry of Education), College of Pharmacy, Harbin Medical University, Harbin 150081, China.
  • School of Interdisciplinary Medicine and Engineering, Heilongjiang Academy of Medical Science, Harbin Medical University, Harbin 150081, China.
  • Third Ward of Obstetrics and Gynecology, The Second Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang Province 150086, China.

技术路线

数据/样本:来自24种癌症类型、1190份样本的肿瘤内微生物表位景观构建;分析:泛癌表位特征比较(疏水性、脂肪族指数、稳定性)、HLA-I等位基因结合倾向分析、微生物物种/表位在肿瘤中的分布与跨度分析;验证:原文报告同源微生物表位与肿瘤抗原诱导交叉反应性T细胞应答,且实验证据显示微生物表位具有增强的免疫原性和抗肿瘤效力(未提供具体实验细节)。

最近 5 个完整年度引用趋势

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数据来源:暂未标注更新时间:暂无更新时间

实际检索式

systematic OR pan-cancer OR intratumoral OR microbiota-derived OR epitopes OR MIMIC OR cancer OR multi omics数据更新时间:2026/11/01 20:28

相关研究数量

数量受检索式影响
0174834962172202122412022233320232522202434962025

仅展示最近 5 个完整年度,不包含 2026 年 YTD。

2026 年 · YTD4957

年初至今数量单独展示,不与完整年度直接比较。

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AI 推断的潜在研究机会,不代表未被研究。请结合下方真实检索结果进一步判断。

HLA-C偏倚呈递的瘤内微生物表位与肿瘤突变负荷的交互效应:基于公共免疫肽组数据与TCGA的关联分析

研究问题
在泛癌层面,HLA-C等位基因偏倚呈递的瘤内微生物来源HLA-I表位负荷是否与肿瘤突变负荷(TMB)存在交互作用,并共同影响免疫检查点阻断(ICB)应答相关转录程序?
暴露 / 干预
肿瘤样本中由HLA-C等位基因偏倚呈递的微生物来源HLA-I表位数量/丰度(基于质谱免疫肽组重新注释与分型)
研究结局
TMB;ICB应答相关转录特征(如IFN-I信号、CD8+ T细胞浸润、耗竭评分);总生存期(若可获得临床注释)
数据来源
已发表泛癌HLA免疫肽组质谱数据(如原文所述1190样本/24癌种及MicroEpitope资源);TCGA泛癌转录组、突变负荷与临床随访数据;HLA分型公共数据
研究设计
回顾性观察性泛癌关联研究:对公共质谱免疫肽组按HLA等位基因重新注释并计算HLA-C偏倚微生物表位负荷;与TCGA样本(按癌种分层)的TMB、转录特征和生存进行混合效应模型与交互项分析;辅以多重检验校正和敏感性分析
推荐理由
原文报道HLA-C等位基因较HLA-A/B更强倾向呈递微生物表位,且微生物表位具有更高疏水性、脂肪族指数和稳定性;真实文献中泛癌T细胞与髓系单细胞图谱及STING-IFN-I机制研究提示微生物信号可重塑肿瘤免疫微环境。据此推断HLA-C偏倚表位可能构成一类可量化的免疫原性暴露,但其与TMB的交互及对ICB应答的独立贡献尚属推断,需关联分析验证,不能视为已确立的因果机制。
创新点说明
将原文的HLA-C呈递偏倚现象转化为可检验的暴露变量,并与TMB交互和ICB应答转录程序关联;区别于仅描述表位图谱或仅描述T细胞/髓系图谱的现有工作,但属于对已有数据和现象的二次分析推断,非国际空白。
风险提示
质谱免疫肽组样本与TCGA样本非同一队列,存在批次与癌种构成混杂;HLA-C偏倚表位注释依赖算法预测而非全部实验验证,可能错分;TMB与表位负荷高度相关导致共线性;ICB应答数据在TCGA中缺失或替代终点较弱;多重比较假阳性风险高。

微生物-肿瘤同源表位跨反应潜力与CD8+ T细胞耗竭状态的泛癌单细胞关联研究

研究问题
预测的微生物-肿瘤同源(分子模拟)表位负荷是否与肿瘤浸润CD8+ T细胞的特定耗竭状态转变路径相关,且该关联是否因癌种而异?
暴露 / 干预
样本层面预测的微生物-肿瘤同源HLA-I表位负荷(基于原文同源表位定义与公共表位库)
研究结局
肿瘤浸润CD8+ T细胞状态组成(耗竭前体、终末耗竭、效应记忆等)及其状态转变评分;T细胞受体克隆扩增程度
数据来源
已发表泛癌单细胞RNA-seq T细胞图谱(如316供者/21癌种数据集);公共HLA免疫肽组与微生物蛋白理论库(MicroEpitope类资源);TCGA/公共HLA分型
研究设计
观察性整合分析:将单细胞T细胞状态评分聚合到样本层面,与预测同源表位负荷进行癌种分层线性/混合模型关联;以TCR克隆性和已知耗竭轨迹作为机制一致性检验;不做干预
推荐理由
原文实验证据显示同源微生物表位与肿瘤抗原可引发交叉反应性T细胞应答并增强免疫原性;真实文献中泛癌T细胞单细胞图谱揭示了CD8+ T细胞耗竭的多条状态转变路径及癌种偏好。由此推断同源表位负荷可能塑造耗竭轨迹,但单细胞图谱与表位预测来自不同样本,关联方向与因果性均属推断边界之外。
创新点说明
把原文的同源表位交叉反应概念与泛癌CD8+ T细胞耗竭状态转变路径相连接,提出样本层面暴露-状态组成假设;不同于仅构建表位图谱或仅描述T细胞异质性的研究,但属数据整合推断。
风险提示
单细胞队列与表位预测队列不重叠,暴露与结局测量不在同一批样本,生态学偏倚风险高;同源表位预测假阳性率高且依赖微生物蛋白库完整性;T细胞状态注释受批次和癌种影响;样本量在癌种分层后可能不足;无法排除肿瘤抗原本身驱动耗竭的混杂。

基于微生物表位生化特征(疏水性/脂肪族指数/稳定性)的泛癌免疫原性分层与ICB获益预测模型构建

研究问题
微生物表位的生化特征组合(疏水性、脂肪族指数、稳定性)能否在泛癌中分层患者并预测ICB治疗的客观缓解与无进展生存?
暴露 / 干预
样本层面微生物表位生化特征聚合评分(由预测/质谱注释表位计算)
研究结局
ICB客观缓解率(RECIST);无进展生存期与总生存期;免疫相关不良事件(若可获得)
数据来源
公开ICB队列(如已发表黑色素瘤/非小细胞肺癌ICB转录组与临床注释);公共HLA免疫肽组与微生物表位注释资源;TCGA作为对照/训练辅助
研究设计
回顾性预测模型开发与外部验证:在公共ICB队列中计算表位生化特征评分,构建惩罚回归/生存模型预测缓解与PFS;按癌种和HLA分型分层;报告校准度、区分度与决策曲线;预设敏感性分析
推荐理由
原文明确报道微生物表位较人源表位具有更高疏水性、脂肪族指数和稳定性,且实验显示增强免疫原性与抗肿瘤效果;真实文献中微生物信号经STING-IFN-I通路改善ICB疗效。据此推断表位生化特征可能作为ICB获益的可计算分层标志,但预测模型性能与临床效用尚属推断,需外部验证。
创新点说明
将原文的表位生化特征描述转化为可验证的ICB疗效预测评分,强调外部验证与校准;区别于单纯表位图谱描述或肠道代谢物综述,但属对已有特征的建模推断。
风险提示
ICB公共队列样本量有限且癌种集中,外部验证可能不足;表位注释依赖预测算法,生化特征与真实呈递和免疫原性之间关系未完全验证;HLA分型缺失或不一致导致暴露错分;缓解定义和随访异质性;过拟合与发表偏倚风险;不能宣称临床可用。

瘤内微生物属水平表位多样性与STING/IFN-I通路激活及髓系细胞重编程的泛癌生态学关联

研究问题
产生HLA-I表位的瘤内微生物属的多样性与丰度是否与肿瘤内STING/IFN-I通路激活及单核-树突状细胞免疫刺激表型相关,并在泛癌中表现一致?
暴露 / 干预
瘤内微生物属水平表位产生多样性(Shannon/丰富度)及广谱检测表位的属数
研究结局
STING/IFN-I通路激活评分;单核细胞/树突状细胞免疫刺激与促肿瘤巨噬细胞极化比例;NK-DC互作相关配体表达
数据来源
公共肿瘤微生物组测序数据(TCGA微生物读数或已发表瘤内微生物组);已发表泛癌单细胞髓系细胞图谱(210患者/15癌种);TCGA转录组与HLA分型
研究设计
观察性泛癌生态关联研究:样本层面计算微生物属表位多样性,与转录组推断的IFN-I评分和单细胞聚合的髓系极化比例进行癌种分层混合模型分析;以广谱表位属数作为敏感性暴露;不做干预
推荐理由
原文报道能产生HLA-I表位的微生物种在肿瘤中更普遍、广谱检测表位跨更多癌种、多个属产生大量免疫原性表位;真实文献显示微生物信号经STING-IFN-I依赖的单核细胞重编程调控肿瘤微环境,并有泛癌髓系单细胞图谱。由此推断表位产生多样性与IFN-I/髓系极化存在生态学关联,但微生物组数据污染与低生物量问题使因果推断受限。
创新点说明
将原文的属水平表位产生能力与STING-IFN-I髓系重编程机制在泛癌层面做生态学关联,提出多样性-免疫刺激假设;区别于单篇机制实验或微生物组描述性研究,但仅为关联推断。
风险提示
肿瘤微生物组低生物量导致污染和假阳性,TCGA微生物读数可靠性存疑;单细胞髓系图谱与微生物组样本不重叠,生态学谬误风险;IFN-I评分由转录组推断而非蛋白验证;癌种和测序平台批次混杂;HLA分型缺失;无法区分微生物表位与微生物其他成分(如STING激动剂代谢物)的独立贡献。

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10 篇

Pan-cancer single-cell landscape of tumor-infiltrating T cells.

Science (New York, N.Y.) · 2021
Liangtao Zheng、Shishang Qin、Wen Si 等

T cells play a central role in cancer immunotherapy, but we lack systematic comparison of the heterogeneity and dynamics of tumor-infiltrating T cells across cancer types. We built a single-cell RNA-sequencing pan-cancer atlas of T cells for 316 donors across 21 cancer types and revealed distinct T cell composition patterns. We found multiple state-transition paths in the exhaustion of CD8+ T cells and the preference of those paths among different tumor types. Certain T cell populations showed specific correlation with patient properties such as mutation burden, shedding light on the possible determinants of the tumor microenvironment. T cell compositions within tumors alone could classify cancer patients into groups with clinical trait specificity, providing new insights into T cell immunity and precision immunotherapy targeting T cells.

A pan-cancer single-cell transcriptional atlas of tumor infiltrating myeloid cells.

Cell · 2021
Sijin Cheng、Ziyi Li、Ranran Gao 等

Tumor-infiltrating myeloid cells (TIMs) are key regulators in tumor progression, but the similarity and distinction of their fundamental properties across different tumors remain elusive. Here, by performing a pan-cancer analysis of single myeloid cells from 210 patients across 15 human cancer types, we identified distinct features of TIMs across cancer types. Mast cells in nasopharyngeal cancer were found to be associated with better prognosis and exhibited an anti-tumor phenotype with a high ratio of TNF+/VEGFA+ cells. Systematic comparison between cDC1- and cDC2-derived LAMP3+ cDCs revealed their differences in transcription factors and external stimulus. Additionally, pro-angiogenic tumor-associated macrophages (TAMs) were characterized with diverse markers across different cancer types, and the composition of TIMs appeared to be associated with certain features of somatic mutations and gene expressions. Our results provide a systematic view of the highly heterogeneous TIMs and suggest future avenues for rational, targeted immunotherapies.

MicroEpitope: an atlas of immune epitopes derived from cancer microbiomes

Nucleic Acids Research · 2024
Dong-Hao Li、Yang-Yang Cai、Ke-Fan Liu 等

Abstract The majority of human cancers harbor molecular evidence of intratumoral microbiota. Microbiota-derived epitopes as molecular mimics of tumor antigens can bind human leukocyte antigen (HLA), thereby modulating host immunity. However, many questions remain regarding the mechanisms underlying the interactions between microbiota and the host's immune system in cancer. Here, MicroEpitope (http://bio-bigdata.hrbmu.edu.cn/MicroEpitope) was developed to provide and analyze the atlas of microbiota-derived epitopes in cancer. We manually collected available mass spectrometry (MS)-based HLA immunopeptidomes of 1190 samples across 24 cancer types. Alignment was performed against an in-house constructed theoretical library of human and intratumor microbiome encoded proteins, including 1298 bacterial and 124 viral species. Currently, MicroEpitope contains 51 497 bacteria and 767 virus-derived epitopes, mainly originating from Bacillus subtilis, Buchnera aphidicola and human cytomegalovirus. The common immunogenic features of epitopes were calculated, as well as their biochemical properties and the clinical relevance of corresponding bacteria and viruses across cancers. MicroEpitope also provides five analytical tools, and multiple visualization methods to facilitate understanding of the roles of microbiota-derived epitopes in cancer immunity. In summary, MicroEpitope represents a vital resource for investigating HLA-presented immunopeptidomes derived from cancer microbiomes, and could further enable rich insight in tumor antigen prioritization strategies.

Intratumoral microbiota: roles in cancer initiation, development and therapeutic efficacy.

Signal transduction and targeted therapy · 2023
Li Yang、Aitian Li、Ying Wang 等

Microorganisms, including bacteria, viruses, fungi, and other eukaryotes, play critical roles in human health. An altered microbiome can be associated with complex diseases. Intratumoral microbial components are found in multiple tumor tissues and are closely correlated with cancer initiation and development and therapy efficacy. The intratumoral microbiota may contribute to promotion of the initiation and progression of cancers by DNA mutations, activating carcinogenic pathways, promoting chronic inflammation, complement system, and initiating metastasis. Moreover, the intratumoral microbiota may not only enhance antitumor immunity via mechanisms including STING signaling activation, T and NK cell activation, TLS production, and intratumoral microbiota-derived antigen presenting, but also decrease antitumor immune responses and promote cancer progression through pathways including upregulation of ROS, promoting an anti-inflammatory environment, T cell inactivation, and immunosuppression. The effect of intratumoral microbiota on antitumor immunity is dependent on microbiota composition, crosstalk between microbiota and the cancer, and status of cancers. The intratumoral microbiota may regulate cancer cell physiology and the immune response by different signaling pathways, including ROS, β-catenin, TLR, ERK, NF-κB, and STING, among others. These viewpoints may help identify the microbiota as diagnosis or prognosis evaluation of cancers, and as new therapeutic strategy and potential therapeutic targets for cancer therapy.

Pan-cancer single-cell analysis reveals the heterogeneity and plasticity of cancer-associated fibroblasts in the tumor microenvironment.

Nature communications · 2022
Han Luo、Xuyang Xia、Li-Bin Huang 等

Cancer-associated fibroblasts (CAFs) are the predominant components of the tumor microenvironment (TME) and influence cancer hallmarks, but without systematic investigation on their ubiquitous characteristics across different cancer types. Here, we perform pan-cancer analysis on 226 samples across 10 solid cancer types to profile the TME at single-cell resolution, illustrating the commonalities/plasticity of heterogenous CAFs. Activation trajectory of the major CAF types is divided into three states, exhibiting distinct interactions with other cell components, and relating to prognosis of immunotherapy. Moreover, minor CAF components represent the alternative origin from other TME components (e.g., endothelia and macrophages). Particularly, the ubiquitous presentation of endothelial-to-mesenchymal transition CAF, which may interact with proximal SPP1+ tumor-associated macrophages, is implicated in endothelial-to-mesenchymal transition and survival stratifications. Our study comprehensively profiles the shared characteristics and dynamics of CAFs, and highlight their heterogeneity and plasticity across different cancer types. Browser of integrated pan-cancer single-cell information is available at https://gist-fgl.github.io/sc-caf-atlas/ .

Microbiota triggers STING-type I IFN-dependent monocyte reprogramming of the tumor microenvironment.

Cell · 2021
Khiem C Lam、Romina E Araya、April Huang 等

The tumor microenvironment (TME) influences cancer progression and therapy response. Therefore, understanding what regulates the TME immune compartment is vital. Here we show that microbiota signals program mononuclear phagocytes in the TME toward immunostimulatory monocytes and dendritic cells (DCs). Single-cell RNA sequencing revealed that absence of microbiota skews the TME toward pro-tumorigenic macrophages. Mechanistically, we show that microbiota-derived stimulator of interferon genes (STING) agonists induce type I interferon (IFN-I) production by intratumoral monocytes to regulate macrophage polarization and natural killer (NK) cell-DC crosstalk. Microbiota modulation with a high-fiber diet triggered the intratumoral IFN-I-NK cell-DC axis and improved the efficacy of immune checkpoint blockade (ICB). We validated our findings in individuals with melanoma treated with ICB and showed that the predicted intratumoral IFN-I and immune compositional differences between responder and non-responder individuals can be transferred by fecal microbiota transplantation. Our study uncovers a mechanistic link between the microbiota and the innate TME that can be harnessed to improve cancer therapies.

A pan-cancer compendium of chromosomal instability.

Nature · 2022
Ruben M Drews、Barbara Hernando、Maxime Tarabichi 等

Chromosomal instability (CIN) results in the accumulation of large-scale losses, gains and rearrangements of DNA1. The broad genomic complexity caused by CIN is a hallmark of cancer2; however, there is no systematic framework to measure different types of CIN and their effect on clinical phenotypes pan-cancer. Here we evaluate the extent, diversity and origin of CIN across 7,880 tumours representing 33 cancer types. We present a compendium of 17 copy number signatures that characterize specific types of CIN, with putative aetiologies supported by multiple independent data sources. The signatures predict drug response and identify new drug targets. Our framework refines the understanding of impaired homologous recombination, which is one of the most therapeutically targetable types of CIN. Our results illuminate a fundamental structure underlying genomic complexity in human cancers and provide a resource to guide future CIN research.

A Review of Gut Microbiota-Derived Metabolites in Tumor Progression and Cancer Therapy.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
Qiqing Yang、Bin Wang、Qinghui Zheng 等

Gut microbiota-derived metabolites are key hubs connecting the gut microbiome and cancer progression, primarily by remodeling the tumor microenvironment and regulating key signaling pathways in cancer cells and multiple immune cells. The use of microbial metabolites in radiotherapy and chemotherapy mitigates the severe side effects from treatment and improves the efficacy of treatment. Immunotherapy combined with microbial metabolites effectively activates the immune system to kill tumors and overcomes drug resistance. Consequently, various novel strategies have been developed to modulate microbial metabolites. Manipulation of genes involved in microbial metabolism using synthetic biology approaches directly affects levels of microbial metabolites, while fecal microbial transplantation and phage strategies affect levels of microbial metabolites by altering the composition of the microbiome. However, some microbial metabolites harbor paradoxical functions depending on the context (e.g., type of cancer). Furthermore, the metabolic effects of microorganisms on certain anticancer drugs such as irinotecan and gemcitabine, render the drugs ineffective or exacerbate their adverse effects. Therefore, a personalized and comprehensive consideration of the patient's condition is required when employing microbial metabolites to treat cancer. The purpose of this review is to summarize the correlation between gut microbiota-derived metabolites and cancer, and to provide fresh ideas for future scientific research.