Intratumoral microbiota: new frontiers in tumor immunity

Zhang, Zhilin; Liao, Yiqun; Tang, Dong

doi:10.1093/carcin/bgac063

Cited by 12 publications

(11 citation statements)

References 91 publications

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“…Numerous literature data suggest that non-nutritious dietary ingredients, such as flavonoids, may affect the composition of the intestinal microbiota [ 319 , 320 , 321 ]. These data emphasize the relationship between flavonoid intake and diverse inflammation-associated chronic conditions such as certain forms of cancers, including colorectal, breast, lung, and liver cancer.…”

Section: Antitumor Activity Of Propolis and Its Polyphenolic/flavonoi...mentioning

confidence: 99%

Molecular and Cellular Mechanisms of Propolis and Its Polyphenolic Compounds against Cancer

Oršolić

Jembrek

2022

IJMS

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In recent years, interest in natural products such as alternative sources of pharmaceuticals for numerous chronic diseases, including tumors, has been renewed. Propolis, a natural product collected by honeybees, and polyphenolic/flavonoid propolis-related components modulate all steps of the cancer progression process. Anticancer activity of propolis and its compounds relies on various mechanisms: cell-cycle arrest and attenuation of cancer cells proliferation, reduction in the number of cancer stem cells, induction of apoptosis, modulation of oncogene signaling pathways, inhibition of matrix metalloproteinases, prevention of metastasis, anti-angiogenesis, anti-inflammatory effects accompanied by the modulation of the tumor microenvironment (by modifying macrophage activation and polarization), epigenetic regulation, antiviral and bactericidal activities, modulation of gut microbiota, and attenuation of chemotherapy-induced deleterious side effects. Ingredients from propolis also ”sensitize“ cancer cells to chemotherapeutic agents, likely by blocking the activation of the transcription factor nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB). In this review, we summarize the current knowledge related to the the effects of flavonoids and other polyphenolic compounds from propolis on tumor growth and metastasizing ability, and discuss possible molecular and cellular mechanisms involved in the modulation of inflammatory pathways and cellular processes that affect survival, proliferation, invasion, angiogenesis, and metastasis of the tumor.

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Section: Antitumor Activity Of Propolis and Its Polyphenolic/flavonoi...mentioning

confidence: 99%

Molecular and Cellular Mechanisms of Propolis and Its Polyphenolic Compounds against Cancer

Oršolić

Jembrek

2022

IJMS

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“…are related to the microbiota disorder in human intestine and other organs ( Xu et al., 2021 ).Zhang et al. indicated that microbiota-host interactions are important in regulating the malignant transformation of cancer cells and cancer-related immunity ( Zhang et al., 2022 ). And Budden showed that chronic respiratory diseases such as asthma, cystic fibrosis and bronchiectasis were associated with changes in microbial diversity or abundance ( Budden et al., 2019 ).Therefore, in our research, we excluded patients who combined with diabetes, autoimmune diseases, tumors and structural lung diseases.…”

Section: Discussionmentioning

confidence: 99%

“…Previous studies showed that diabetes and autoimmune diseases such as systemic lupus erythmatosus, rheumatoid arthritis,etc. are related to the microbiota disorder in human intestine and other organs (Xu et al, 2021).Zhang et al indicated that microbiota-host interactions are important in regulating the malignant transformation of cancer cells and cancer-related immunity (Zhang et al, 2022). And Budden showed that chronic respiratory diseases such as asthma, cystic fibrosis and bronchiectasis were associated with changes in m i c r o b i a l d i v e r s i t y o r a b u n d a n c e ( B u d d e n e t a l .…”

Section: Studies Have Demonstrated That Recurrent Airway Infection Pl...mentioning

confidence: 99%

Analysis of the correlation between BMI and respiratory tract microbiota in acute exacerbation of COPD

Cao

Chen

Shu

et al. 2023

Front. Cell. Infect. Microbiol.

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ObjectiveTo investigate the distribution differences in the respiratory tract microbiota of AECOPD patients in different BMI groups and explore its guiding value for treatment.MethodsSputum samples of thirty-eight AECOPD patients were collected. The patients were divided into low, normal and high BMI group. The sputum microbiota was sequenced by 16S rRNA detection technology, and the distribution of sputum microbiota was compared. Rarefaction curve, α-diversity, principal coordinate analysis (PCoA) and measurement of sputum microbiota abundance in each group were performed and analyzed by bioinformatics methods.Results1. The rarefaction curve in each BMI group reached a plateau. No significant differences were observed in the OTU total number or α-diversity index of microbiota in each group. PCoA showed significant differences in the distance matrix of sputum microbiota between the three groups, which was calculated by the Binary Jaccard and the Bray Curtis algorithm. 2. At the phylum level, most of the microbiota were Proteobacteria, Bacteroidetes Firmicutes, Actinobacteria, and Fusobacteria. At the genus level, most were Streptococcus, Prevotella, Haemophilus, Neisseria and Bacteroides. 3. At the phylum level, the abundance of Proteobacteria in the low group was significantly higher than that in normal and high BMI groups, the abundances of Firmicutes in the low and normal groups were significantly lower than that in high BMI groups. At the genus level, the abundance of Haemophilus in the low group was significantly higher than that in high BMI group, and the abundances of Streptococcus in the low and normal BMI groups were significantly lower than that in the high BMI group.Conclusions1. The sputum microbiota of AECOPD patients in different BMI groups covered almost all microbiota, and BMI had no significant association with total number of respiratory tract microbiota or α-diversity in AECOPD patients. However, there was a significant difference in the PCoA between different BMI groups. 2. The microbiota structure of AECOPD patients differed in different BMI groups. Gram-negative bacteria (G-) in the respiratory tract of patients predominated in the low BMI group, while gram-positive bacteria (G+) predominated in the high BMI group.

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“…It is worth mentioning that studies have highlighted the role of intratumoral microbiota in cancer initiation, development, immunity, heterogeneity, therapeutic efficacy, and metastatic colonization. [115][116][117][118][119] . Appropriated antibiotic treatment in tumors has been associated with improved prognosis [115] .…”

Section: Givinostat (An Hdac Inhibitor) Was Under Investigation For V...mentioning

confidence: 99%

Tumor relapse-free survival prognosis related consistency between cancer tissue and adjacent normal tissue in drug repurposing for solid tumor via connectivity map

Hao,

Li,

Qiao

et al. 2024

Preprint

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Traditional drug discovery encounters challenges, including high costs, time-intensive processes, and inherent risks. Drug repurposing emerges as a compelling alternative strategy to identify new indications for investigational or approved drugs, circumventing these obstacles. Among the various drug repurposing methods, the Disease-specific Signature-based Connectivity Map (Cmap) approach is widely utilized. However, the commonly employed method for constructing disease-specific signatures, known as Differentially Expressed Genes (DEG), faces issues related to inconsistencies between dysregulated genes and the prognosis of genes in tumor tissue, as well as discrepancies in prognosis genes between tumor and normal tissues.In this study, we propose a novel approach, Prognosis Consistency Scoring (PCS), aimed at addressing these inconsistencies. PCS measures the consistency of gene prognosis between tumor and normal tissues by combining the Recurrence-Free Survival (RFS) prognosis power of genes in both contexts. Disease-specific signatures are then constructed based on PCS, and drug repurposing is performed using the Cmap and Lincs Unified Environment (CLUE). Validation of predicted drugs is conducted using data from DrugBank and ClinicalTrials databases.Our findings reveal that the aforementioned inconsistencies are pervasive. Compared to signatures based on DEGs, PCS-based signatures exhibit superior performance, identifying more drugs with higher prediction accuracy, as confirmed by DrugBank annotations. Notably, a significant proportion of predicted drugs without corresponding indications were subsequently validated in the ClinicalTrials database. Additionally, PCS-based signatures demonstrate elevated disease specificity and association with Drug Related Gene (DRG).

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Intratumoral microbiota: new frontiers in tumor immunity

Cited by 12 publications

References 91 publications

Molecular and Cellular Mechanisms of Propolis and Its Polyphenolic Compounds against Cancer

Molecular and Cellular Mechanisms of Propolis and Its Polyphenolic Compounds against Cancer

Analysis of the correlation between BMI and respiratory tract microbiota in acute exacerbation of COPD

Tumor relapse-free survival prognosis related consistency between cancer tissue and adjacent normal tissue in drug repurposing for solid tumor via connectivity map

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