Intratumoral Microbiota-Host Interactions Shape the Variability of Lung Adenocarcinoma and Lung Squamous Cell Carcinoma in Recurrence and Metastasis

Leveraging the intratumoral microbiota to treat human cancer: are engineered exosomes an effective strategy?

Cancer remains a leading cause of global mortality. The tumor microbiota has increasingly been recognized as a key regulator of cancer onset and progression, in addition to shaping tumor responses to immunotherapy. Microbes, including viruses, bacteria, fungi, and other eukaryotic species can impact the internal homeostasis and health of humans. Research focused on the gut microflora and the intratumoral microbiome has revolutionized the current understanding of how tumors grow, progress, and resist therapeutic interventions. Even with this research, however, there remains relatively little that is known with respect to the abundance of microbes and their effects on tumors and the tumor microenvironment. Engineered exosomes are a class of artificial extracellular nanovesicles that can actively transport small molecule drugs and nucleic acids, which have the broad prospects of tumor cell therapy. The present review offers an overview of recent progress and challenges associated with the intratumoral microbiome and engineered exosomes in the context of cancer research. These discussions are used to inform the construction of a novel framework for engineered exosome-mediated targeted drug delivery, taking advantage of intratumoral microbiota diversity as a strategic asset and thereby providing new opportunities to more effectively treat and manage cancer in the clinic.

OVOL2 induces autophagy-mediated epithelial-mesenchymal transition by the ERK1/2 MAPK signaling in lung adenocarcinoma

Lung adenocarcinoma (LUAD) is one of the leading causes of cancer-related death worldwide. Epithelial-mesenchymal transition (EMT) plays an important role in malignant tumor progression. Recently, accumulating evidence has shown that autophagy is involved in the regulation of EMT-induced migration. Therefore, the exploration of targets to inhibit EMT by targeting autophagy is important. In this study, we found that OVO-like zinc finger 2 (OVOL2) may be a key target for regulating autophagy-induced EMT. Firstly, we found that OVOL2 expression was dramatically downregulated in LUAD. Low expression of OVOL2 is an indicator of poor prognosis in LUAD. In vitro experiments have shown that downregulation of OVOL2 expression induces EMT, thereby promoting malignant biological behavior, such as proliferation, migration, and invasion of LUAD cells. Interestingly, autophagy is a key step in regulating OVOL2 and inducing EMT. Furthermore, OVOL2 regulates autophagy through the MAPK signaling pathway, ultimately inhibiting the malignant progression of LUAD.

Leveraging circulating microbiome signatures to predict tumor immune microenvironment and prognosis of patients with non-small cell lung cancer

BACKGROUND

Accumulating evidence supports the significant role of human microbiome in development and therapeutic response of tumors. Circulating microbial DNA is non-invasive and could show a general view of the microbiome of host, making it a promising biomarker for cancers. However, whether circulating microbiome is associated with prognosis of non-small cell lung cancer (NSCLC) and its potential mechanisms on tumor immune microenvironment still remains unknown.

METHODS

The blood microbiome data and matching tumor RNA-seq data of TCGA NSCLC patients were obtained from Poore's study and UCSC Xena. Univariate and multivariate Cox regression analysis were used to identify circulating microbiome signatures associated with overall survival (OS) and construct the circulating microbial abundance prognostic scoring (MAPS) model. Nomograms integrating clinical characteristics and circulating MAPS scores were established to predict OS rate of NSCLC patients. Joint analysis of blood microbiome data and matching tumor RNA-seq data was used to deciphered the tumor microenvironment landscape of patients in circulating MAPS-high and MAPS-low groups. Finally, the predictive value of circulating MAPS on the efficacy of immunotherapy and chemotherapy were assessed.

RESULTS

A circulating MAPS prediction model consisting of 14 circulating microbes was constructed and had an independent prognostic value for NSCLC. The integration of circulating MAPS into nomograms may improve the prognosis predictive power. Joint analysis revealed potential interactions between prognostic circulating microbiome and tumor immune microenvironment. Especially, intratumor plasma cells and humoral immune response were enriched in circulating MAPS-low group, while intratumor CD4 + Th2 cells and proliferative related pathways were enriched in MAPS-high group. Finally, drug sensitivity analysis indicated the potential of circulating MAPS as a predictor of chemotherapy efficacy.

CONCLUSION

A circulating MAPS prediction model was constructed successfully and showed great prognostic value for NSCLC. Our study provides new insights of interactions between microbes, tumors and immunity, and may further contribute to precision medicine for NSCLC.

Fine Particulate Matter Perturbs the Pulmonary Microbiota in Broiler Chickens

(1) Fine particulate matter (PM2.5) seriously affects the respiratory tract health of both animals and humans. Growing evidence indicates that the pulmonary microbiota is involved in the development of respiratory tract health; however, there is still much that is unknown about the specific changes of pulmonary microbiota caused by PM2.5 in broilers. (2) In this experiment, a total of 48 broilers were randomly divided into a control group and PM-exposure group. The experiment lasted for 21 days. Microbiota, inflammation biomarkers, and histological markers in the lungs were determined. (3) On the last day of the experiment, PM significantly disrupted the structure of lung tissue and induced chronic pulmonary inflammation by increasing IL-6, TNFα, and IFNγ expression and decreasing IL-10 expression. PM exposure significantly altered the α and β diversity of pulmonary microbiota. At the phylum level, PM exposure significantly decreased the Firmicutes abundance and increased the abundance of Actinobacteria and Proteobacteria. At the genus level, PM exposure significantly increased the abundance of Rhodococcus, Achromobacter, Pseudomonas, and Ochrobactrum. We also observed positive associations of the above altered genera with lung TNFα and IFNγ expression. (4) The results suggest that PM perturbs the pulmonary microbiota and induces chronic inflammation, and the pulmonary microbiota possibly contributes to the development of lung inflammation.