Lung Microbiome in Lung Cancer: A Systematic Review
2024

Lung Microbiome in Lung Cancer: A Systematic Review

Sample size: 405 publication Evidence: moderate

Author Information

Author(s): Lucaciu Sergiu-Remus, Domokos Bianca, Puiu Ruxandra, Ruta Victoria, Motoc Stefania Nicoleta, Rajnoveanu Ruxandra, Todea Doina, Stoia Anca Mirela, Man Adina Milena

Primary Institution: Department of Pneumology, Iuliu Hațieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania

Hypothesis

What is the composition of the lung microbiome in bronchopulmonary cancer?

Conclusion

There is no consistent percentage pattern at the phylum or genus level in bronchopulmonary cancer, with the predominance of a phylum or genus varying across different patient cohorts.

Supporting Evidence

  • Nine studies met the inclusion criteria, focusing on the microbiome at the phylum and genus levels.
  • Significant differences were observed in the microbiome composition across different studies.
  • Firmicutes and genera like Streptococcus and Veillonella were frequently mentioned.
  • Variability in study designs and patient demographics contributed to inconsistent findings.
  • Alpha and beta diversity metrics showed no significant differences between lung cancer and control groups in some studies.

Takeaway

This study looked at the bacteria in the lungs of people with lung cancer and found that different patients have different types of bacteria, making it hard to find a common pattern.

Methodology

A systematic review of studies using bronchoalveolar lavage samples and 16S rRNA sequencing to analyze the lung microbiome in bronchopulmonary cancer.

Potential Biases

Differences in sample collection methods and patient demographics may introduce bias.

Limitations

Variability in inclusion and exclusion criteria across studies and small sample sizes limit the ability to identify a single predominant taxon.

Participant Demographics

292 male and 113 female participants from various studies, with a focus on lung cancer patients.

Statistical Information

Confidence Interval

95% confidence intervals reported for various taxa percentages.

Digital Object Identifier (DOI)

10.3390/microorganisms12122439

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