Background: Lung cancer is the leading cancer diagnosis worldwide and the number one cause of cancer deaths. Exposure to cigarette smoke, the primary risk factor in lung cancer, reduces epithelial barrier integrity and increases susceptibility to infections. Herein, we hypothesize that somatic mutations together with cigarette smoke generate a dysbiotic microbiota that is associated with lung carcinogenesis. Using lung tissue from 33 controls and 143 cancer cases, we conduct 16S ribosomal RNA (rRNA) bacterial gene sequencing, with RNA-sequencing data from lung cancer cases in The Cancer Genome Atlas serving as the validation cohort.
Results: Overall, we demonstrate a lower alpha diversity in normal lung as compared to non-tumor adjacent or tumor tissue. In squamous cell carcinoma specifically, a separate group of taxa are identified, in which Acidovorax is enriched in smokers. Acidovorax temporans is identified within tumor sections by fluorescent in situ hybridization and confirmed by two separate 16S rRNA strategies. Further, these taxa, including Acidovorax, exhibit higher abundance among the subset of squamous cell carcinoma cases with TP53 mutations, an association not seen in adenocarcinomas.
Conclusions: The results of this comprehensive study show both microbiome-gene and microbiome-exposure interactions in squamous cell carcinoma lung cancer tissue. Specifically, tumors harboring TP53 mutations, which can impair epithelial function, have a unique bacterial consortium that is higher in relative abundance in smoking-associated tumors of this type. Given the significant need for clinical diagnostic tools in lung cancer, this study may provide novel biomarkers for early detection.
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http://dx.doi.org/10.1186/s13059-018-1501-6 | DOI Listing |
J Cardiothorac Surg
January 2025
Thoracic Surgery Unit, Careggi University Hospital, Largo Brambilla, 1, 50134, Florence, Italy.
Background: Lung cancer is the first cause of cancer-related death. Awake lung resection is a new frontier of the concept of minimally invasive surgery. Our purpose is to demonstrate the feasibility of this technique for lobar and sublobar lung resection in NSCLC patients.
View Article and Find Full Text PDFBackground: Metabolic pathways are known to significantly impact the development and advancement of lung cancer. This study sought to establish a signature related to butyrate metabolism that is specifically linked to lung adenocarcinoma (LUAD).
Methods: For the purpose of identifying butyrate metabolism-related differentially expressed genes (BMR-DEGs) in the TCGA-LUAD dataset, we introduced transcriptome data.
Discov Oncol
January 2025
Spinal Surgery Department, the Fourth People's Hospital of Jinan, No.50 Normal Road, Tianqiao District, Jinan, 250031, Shandong, China.
Background: It is known that genomic instability contributes to cancer development. Mitotically associated long non-coding RNA (MANCR) has been reported to promote genomic stability, suggesting its involvement in cancers. Therefore, this study was conducted to investigate the role of MANCR in non-small cell lung cancer (NSCLC).
View Article and Find Full Text PDFDiscov Oncol
January 2025
The School Public Health, Fujian Medical University, Fuzhou, 350122, Fujian, China.
The prognosis and treatment efficacy of lung adenocarcinoma (LUAD), a disease with a high incidence, remains unsatisfactory. Identifying new biomarkers and therapeutic targets for LUAD is essential. Chromosomal assembly factor 1B (CHAF1B), a p60 component of the CAF-1 complex, is closely linked to tumor incidence and cell proliferation.
View Article and Find Full Text PDFDiscov Oncol
January 2025
Respiratory Department, Zhejiang Jinhua Guangfu Cancer Hospital, Jinhua, 310053, Zhejiang, China.
Background: Plasma proteins contribute to the identification, diagnosis, and prognosis of human illnesses, which may be conducive to understanding the molecular mechanism and diagnosis of Lung adenocarcinoma (LUAD).
Methods: We collected plasma samples from 28 healthy individuals (H) and 56 LUAD patients and analyzed them using LC-MS/MS-based proteomics to determine differential expression plasma proteins (DEPPs). Then, the DEPPs were subjected to a two-sample Mendelian randomization (MR) study based on an "Inverse variance weighted (IVW)" approach to investigate the causal relationships between DEPPs and LUAD.
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