ArticleGenome biology2018
Interaction between the microbiome and TP53 in human lung cancer.
Article in Genome biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 297 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
297 citing papers in PubMed, 3 syntheses or guidelines pooled it, 450 citations in OpenAlex.
- Global research trends on the associations between the microbiota and lung cancer: a visualization bibliometric analysis (2008-2023).Frontiers in microbiology · 2024Pooled it
- Identification of microbial markers associated with lung cancer based on multi-cohort 16 s rRNA analyses: A systematic review and meta-analysis.Cancer medicine · 2023Pooled it
- A systematic review of genetic ancestry as a risk factor for incidence of non-small cell lung cancer in the US.Frontiers in genetics · 2023Pooled it
- Review
- Intratumoral microbiota in the growth of CRC and lung cancer: Comprehensive insights from etiology to therapy.iScience · 2026Review
- Dynamic balance of the lung microbiome in health and respiratory diseases.Chinese medical journal · 2026Review
- Harnessing the microbiome: a new frontier in lung cancer immunotherapy.Cancer biology & medicine · 2026Review
- Intra-tumoral microbiota: Key modulators of tumor immunity and therapeutic potential.Genes & diseases · 2026Review
- Article
- Bronchoalveolar lavage microbiota signatures and stage-associated alterations in early-stage and advanced-stage non-small cell lung cancer: a pilot study.Journal of translational medicine · 2026Article
- Microbial Influence on Immune Checkpoint Inhibitor Therapy in Non-Small Cell Carcinoma: The Gut-Lung-Immune Axis.Cancers · 2026Review
- Harnessing the microbiome for cancer therapy.Nature reviews. Microbiology · 2026Review
- Intratumoral microbiota in cancer: molecular mechanism and therapeutic strategies.Molecular biomedicine · 2026Review
- Dynamic microbiome-host interactions and their associations with systemic metabolism and radiological characteristics during early lung adenocarcinoma.NPJ precision oncology · 2026Article
- Analysis of intratumoural bacteria: Opportunities and challenges for cancer therapy.Acta pharmaceutica Sinica. B · 2026Review
- Profiling the tumor-resident microbiota in small cell lung cancer and its influence on clinical outcomes.Journal of translational medicine · 2026Article
- Soluble factors from Aspergillus fumigatus promote NF-κB/AKT/ERK activation and pro-tumor phenotypes in lung cancer cells in vitro.Archives of microbiology · 2026Article
- Comparative analysis of the lung microbiota in patients with lung cancer, chronic obstructive pulmonary disease, and community-acquired pneumonia.Microbiology spectrum · 2026Article
- 16S rRNA gene sequencing reveals distinct intratumoral bacterial microbiome signatures between CT indeterminate benign and early-stage malignant pulmonary lesions.Journal of translational medicine · 2026Article
- Machine Learning-Based Lung Cancer Classification Using Blood-Derived Microbial DNA: A Comparative Analysis of Taxonomic Profiling Strategies.Diagnostics (Basel, Switzerland) · 2026Article
237 more citing papers are in PubMed but not listed here.
Corrections and comments
- Erratum issued
Authors and funding
33 authors at 10 institutions in 1 country.
Funding
Abstract
backgroundLung 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.
resultsOverall, 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.
conclusionsThe 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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.