Progress in the Study of Intratumoral Microorganisms in Hepatocellular Carcinoma

Journal of Hepatocellular Carcinoma, Год журнала: 2025, Номер Volume 12, С. 59 - 76

Опубликована: Янв. 1, 2025

The intratumoral microbiota, an integral part of liver tumors, has garnered significant attention from researchers due to its role in tumor development regulation and impact on cancer treatment. Intratumoral microorganism not only influences tumorigenesis progression, but also serves as potential biomarkers targets for therapy. Targeted manipulation these microorganisms holds great promise personalized However, there is a lack systematic summaries reports the study hepatocellular carcinoma. This comprehensive review aims address this gap by summarizing research progress related field carcinoma bacteria, including their sources, types, distribution characteristics within development, underlying mechanisms, application prospects. Through analysis, it proposed that intratumor organisms can be used markers diagnosis treatment, drug carrier materials targeting tissues, prospects developing new combination therapies based in-depth understanding interactions between microenvironment, immune cells, etc. well exploring interactions. It hoped perspective theoretical support provided future targeted therapy insights ideas points methods research.

Язык: Английский

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Unveiling the Intratumor Microbiome in Liver Cancer: Current Insights and Prospective Applications

Clinical and Molecular Hepatology, Год журнала: 2025, Номер unknown

Опубликована: Янв. 22, 2025

The role of the gut microbiome in development and progression liver cancer has long been recognized.However, presence microbes tumors that were previously considered sterile only recently discovered.The intratumor likely originates from various sources, including gut, hematogenous spread other mucosal locations, adjacent non-cancerous tissues, co-metastasis with tumor cells.As a newly discovered component microenvironment, it regulates host immune responses, promotes chronic inflammation, modulates metabolic pathways, exerts influences cancer.These unique features offer potential new biomarkers for prognosis treatment response.Exploring complex interactions between to modulate or target may provide avenues treatment.This article provides comprehensive review our current understanding regarding origins cancer, its characteristics, underlying mechanisms by which affects cancer.Furthermore, we discuss promising clinical implications challenges remain before this knowledge can be fully integrated into practice.

Язык: Английский

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Long-distance microbial mechanisms impacting cancer immunosurveillance

Immunity, Год журнала: 2024, Номер 57(9), С. 2013 - 2029

Опубликована: Авг. 15, 2024

Язык: Английский

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Emerging roles of intratumor microbiota in cancer: tumorigenesis and management strategies

Journal of Translational Medicine, Год журнала: 2024, Номер 22(1)

Опубликована: Сен. 11, 2024

Язык: Английский

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Decoding the diagnostic and therapeutic potential of microbiota using pan-body pan-disease microbiomics

Nature Communications, Год журнала: 2024, Номер 15(1)

Опубликована: Сен. 26, 2024

Abstract The human microbiome emerges as a promising reservoir for diagnostic markers and therapeutics. Since host-associated microbiomes at various body sites differ diseases do not occur in isolation, comprehensive analysis strategy highlighting the full potential of should include diverse specimen types diseases. To ensure robust data quality comparability across diseases, we employ standardized protocols to generate sequencing from 1931 prospectively collected specimens, including saliva, plaque, skin, throat, eye, stool, with an average depth 5.3 gigabases. Collected 515 patients, these samples yield 3.7 metagenomes per patient. Our results suggest significant microbial variations types, unexpected anatomical sites. We identify 583 unexplored species-level genome bins (SGBs) which 189 are significantly disease-associated. Of note, existence resistance genes one was indicative same other specimens Annotated previously undescribed SGBs collectively harbor 28,315 biosynthetic gene clusters (BGCs), 1050 correlations combinatorial approach identifies distinct BGCs, emphasizing value pan-body pan-disease microbiomics source therapeutic strategies.

Язык: Английский

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Characterizing microbial communities and their correlation with genetic mutations in early-stage lung adenocarcinoma: implications for disease progression and therapeutic targets

Frontiers in Oncology, Год журнала: 2025, Номер 14

Опубликована: Янв. 7, 2025

Lung adenocarcinoma (LUAD), the most prevalent form of lung cancer. The transition from in situ (AIS), and minimally invasive (MIA) to (IAC) is not fully understood. Intratumoral microbiota may play a role LUAD progression, but comprehensive stage-wise analysis lacking. Tumor bronchoalveolar lavage fluid (BALF) samples patients with AIS/MIA or IAC were collected for next-generation sequencing characterize microbial diversity composition. DNA extraction involved lysing nuclease protease, followed by homogenization elution. Sequencing libraries prepared sequenced on Illumina platform. Whole exome was performed identify somatic mutations genetic variants. Bioinformatics analysis, including taxonomic annotation Kraken2 de novo assembly MEGAHIT, conducted process metagenomic data. Correlation link species mutated genes using custom R scripts. Metagenomic revealed distinct profile compared AIS/MIA, increased abundance Bacteroidetes Firmicutes group. Bosea sp. Microbacterium paludicola, less abundant IAC, suggesting potential protective early-stage disease. Conversely, Mycolicibacterium more indicating possible contribution disease progression. Genetic identified PTPRZ1 strongly correlating composition, mechanistic between alterations LUAD. This study characterizes communities various stages LUAD, revealing links mutations. unique suggests its progression as therapeutic target.

Язык: Английский

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Community assembly modeling of microbial evolution within Barrett's esophagus and esophageal adenocarcinoma

bioRxiv (Cold Spring Harbor Laboratory), Год журнала: 2025, Номер unknown

Опубликована: Янв. 16, 2025

Abstract Mathematical modeling of somatic evolution, a process impacting both host cells and microbial communities in the human body, can capture important dynamics driving carcinogenesis. Here we considered models for esophageal adenocarcinoma (EAC), cancer that has dramatically increased incidence over past few decades Western populations, with high case fatality rates due to late-stage diagnoses. Despite advancements genomic analyses precursor Barrett’s esophagus (BE), prevention EAC remains significant clinical challenge. Previous microbiome studies BE have focused on quantifying static abundance differences rather than evolutionary dynamics. Using whole genome sequencing data from tissues, first applied robust bioinformatics pipeline extract non-host DNA reads, mapped these putative reads taxa, retained those taxa coverage. When applying mathematical evolution sequential stages progression EAC, observed evidence neutral community assembly within normal tissue BE, but not EAC. In case-control study patients who progressed outcomes (CO) versus had non-cancer (NCO) during follow-up (mean=10.5 years), found Helicobacter pylori deviated significantly expectation NCO, suggesting factors related H. or infection itself may influence risk. Additionally, simulations incorporating selection recapitulated non-neutral behaviors datasets. Formally holds promise applications by offering deeper understanding involvement development.

Язык: Английский

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Incomplete human reference genomes can drive false sex biases and expose patient-identifying information in metagenomic data

Nature Communications, Год журнала: 2025, Номер 16(1)

Опубликована: Янв. 18, 2025

Abstract As next-generation sequencing technologies produce deeper genome coverages at lower costs, there is a critical need for reliable computational host DNA removal in metagenomic data. We find that insufficient filtration using prior human references can introduce false sex biases and inadvertently permit flow-through of host-specific during bioinformatic analyses, which could be exploited individual identification. To address these issues, we benchmark three methods varying throughput, with concomitant applications across low biomass samples such as skin high microbial datasets including fecal samples. are important obtaining accurate results (e.g., tissue, skin). Overall, demonstrate rigorous key component privacy-minded analyses patient microbiomes provide computationally efficient pipelines accomplishing this task on large-scale datasets.

Язык: Английский

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Interactions between the tumor microbiota and breast cancer

Frontiers in Cellular and Infection Microbiology, Год журнала: 2025, Номер 14

Опубликована: Янв. 24, 2025

Breast cancer is the most common malignancy in women worldwide. Changes microbiota and their metabolites affect occurrence development of breast cancer; however, specific mechanisms are not clear. Gut microbes influence by regulating tumor immune response, estrogen metabolism, chemotherapy, immunotherapy effects. It was previously thought that there were no microorganisms tissue, but it now can outcome disease. This review builds on existing research to comprehensively analyze role gut intratumoral metastasis cancer. We also explore potential function as biomarkers for prognosis therapeutic highlighting need further clarify causal relationship between hope provide new ideas directions methods treatment.

Язык: Английский

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Unveiling early-life microbial colonization profile through characterizing low-biomass maternal-infant microbiomes by 2bRAD-M

Frontiers in Microbiology, Год журнала: 2025, Номер 16

Опубликована: Янв. 24, 2025

Introduction The microbial composition of human breast milk and infant meconium offers critical insights into the early colonization profile, it greatly contributes to infant’s immune system long-term health outcomes. However, analyzing these samples often faces technical challenges limitations low-resolution using conventional approaches due their low biomass. Methods Here, we employed type IIB restriction enzymes site-associated DNA sequencing for microbiome (2bRAD-M) as a reduced metagenomics method address issues profile species-level composition. We collected samples, maternal feces, meconium, comparing results from 2bRAD-M with those both commonly used 16S rRNA amplicon gold-standard whole (WMS). Results accuracy robustness were demonstrated through its consistently high correlation individual abundance whole-community-level distance paired WMS samples. Moreover, enabled us identify clinical variables associated microbiota variations significant changes in diversity across different lactation stages milk. Discussion This study underscores importance employing future large-scale longitudinal studies on microbiomes, thereby enhancing our understanding life demonstrating further translational potential.

Язык: Английский

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