The link between a lung tumor and the lung microbiome is a largely unexplored issue. To investigate the relationship between a lung microbiome and the phenotype of an inflammatory stromal infiltrate, we studied a cohort of 89 patients with non-small cell lung cancer. The microbiome was analyzed in tumor and adjacent normal tissue by 16S rRNA amplicon sequencing. Characterization of the tumor stroma was done using immunohistochemistry. We demonstrated that the bacterial load was higher in adjacent normal tissue than in a tumor (p = 0.0325) with similar patterns of taxonomic structure and alpha diversity. Lung adenocarcinomas did not differ in their alpha diversity from squamous cell carcinomas, although the content of Gram-positive bacteria increased significantly in the adenocarcinoma group (p = 0.0419). An analysis of an inflammatory infiltrate of tumor stroma showed a correlation of CD68, iNOS and FOXP3 with a histological type of tumor. For the first time we showed that high bacterial load in the tumor combined with increased iNOS expression is a favorable prognostic factor (HR = 0.1824; p = 0.0123), while high bacterial load combined with the increased number of FOXP3+ cells is a marker of poor prognosis (HR = 4.651; p = 0.0116). Thus, we established that bacterial load of the tumor has an opposite prognostic value depending on the status of local antitumor immunity.
Esophageal cancer is one of the most aggressive malignant neoplasms, with low survival rates and limited treatment options. In this study we analyzed the microbiome composition and the phenotype of inflammatory tumor infiltrate in squamous cell carcinoma of esophagus (ESCC) and examined possible relationships between them and their prognostic significance. We found that the predominant phyla of microorganisms found in both tumors and adjacent normal tissues were Firmicutes, Proteobacteria, Actinobacteria, Gemmatimonadetes and Bacteroidetes. We established that only bacteria of the genus Staphylococcus differ between tumors and normal tissues. We found a significant correlation between bacterial burden and the phenotype of the tumor stroma. Namely, a group of tumors characterized by a high expression of CD206 (r = −0.3976, p = 0.0056) in the stroma and iNOS (r = −0.2953, p = 0.0439) in tumor cells is characterized by a higher bacterial burden. Further, we established that in the group with a high content of CD206+ macrophages, there is also a predominance of gram-positive bacteria over gram-negative ones. We found that gram-positive bacterial burden is associated with disease prognosis in ESCC showing high content of CD206+ macrophages. In conclusion we established that the tumor microbiome, can be prognostically significant for ESCC when combined with other stromal markers.
Рассматривая микроокружение опухоли, исследователи отмечают большое количество типов клеток, его составляющих. Изучаются различные типы клеток, начиная от стромальных фибробластов и клеток иммунной системы, заканчивая эндотелиальными клетками и адипоцитами. Однако, несмотря на большое количество исследований, использование не стандартизированных маркеров стромальных клеток и подходов в оценке прогноза заболевания до сих пор не привели к их использованию в рутинной клинической практике. Для многих солидных опухолей неотъемлемой составляющей опухолевой стромы является резидентный микробиом, способный в значительной степени повлиять на характер активации иммунокомпетентных клеток микроокружения и анализ состава которого, на сегодняшний день также предлагается использовать в качестве прогностического маркера. В настоящем обзоре литературы проанализирована информация по микробиому и клеточному составу и фенотипу иммунологической составляющей опухолевой стромы новообразований легкого, механизмам их взаимодействия и влиянию этого взаимодействия на прогрессию опухоли. А также изучена возможность их использования для оценки прогноза заболевания и в качестве мишеней для терапии.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.