ArticleCancer discovery2019
Lung Microbiota Promote Lung Cancer.
Article in Cancer discovery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed.
- Research status of the relationship between microecological imbalance and lung cancer.Frontiers in microbiology · 2025Review
- One-Pot Synthesis of Ag/Quaternary Ammonium Salt Co-Decorated Mesoporous Silica Nanoparticles for Synergistic Treatment of Cancer and Bacterial Infections.Frontiers in bioengineering and biotechnology · 2022Article
Corrections and comments
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Authors and funding
0 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In mice predisposed to lung cancer, dysregulation of the lung's bacteria creates a proinflammatory environment that promotes tumor growth. Treating the animals with antibiotics or keeping them in bacteria-free conditions results in fewer and smaller tumors, implicating the local microbiota in the development of lung cancer.
Indexed as
Identifiers
30765334What 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.