Evidence map›Paper›PMID 31492894›Full record

ArticleScientific reports2019

Profiling of lung microbiota discloses differences in adenocarcinoma and squamous cell carcinoma.

Sílvia Gomes, Bruno Cavadas, Joana Catarina Ferreira, Patrícia Isabel Marques, Catarina Monteiro, Maria Sucena, Catarina Sousa, Luís Vaz Rodrigues, Gilberto Teixeira, Paula Pinto and 8 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
84citing papers in PubMed, 1 pooled it
3.7field-weighted citation impact, top 6% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

84 citing papers in PubMed, 1 synthesis or guideline pooled it, 134 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Review
  6. Article
  7. Review
  8. Review
  9. Article
  10. Review
  11. Review
  12. Review
  13. Article
  14. Review
  15. Review
  16. Article
  17. The Current Roadmap of Lung Cancer Biology, Genomics and Racial Disparity.International journal of molecular sciences · 2025
    Review
  18. Article
  19. Review
  20. Article

24 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors at 7 institutions in 1 country.

Sílvia GomesInstituto de Investigação e Inovação em Saúde, Universidade do Porto (I3S), Porto, Portugal.
Bruno CavadasInstituto de Investigação e Inovação em Saúde, Universidade do Porto (I3S), Porto, Portugal.
Joana Catarina FerreiraInstituto de Investigação e Inovação em Saúde, Universidade do Porto (I3S), Porto, Portugal.
Patrícia Isabel MarquesInstituto de Investigação e Inovação em Saúde, Universidade do Porto (I3S), Porto, Portugal.
Catarina MonteiroInstituto de Investigação e Inovação em Saúde, Universidade do Porto (I3S), Porto, Portugal.
Maria SucenaPneumology Department, Centro Hospitalar de São João (CHSJ), Porto, Portugal.
Catarina SousaPneumology Department, Centro Hospitalar de São João (CHSJ), Porto, Portugal.
Luís Vaz RodriguesDepartment of Pneumology, Unidade Local de Saúde da Guarda (USLG), Guarda, Portugal.
Gilberto TeixeiraDepartment of Pneumology; Centro Hospitalar do Baixo Vouga (CHBV), Aveiro, Portugal.
Paula PintoUnidade de Técnicas Invasivas Pneumológicas, Pneumologia II, Hospital Pulido Valente, Centro Hospitalar Lisboa Norte (CHLN), Lisbon, Portugal.
Tiago Tavares de AbreuUnidade de Técnicas Invasivas Pneumológicas, Pneumologia II, Hospital Pulido Valente, Centro Hospitalar Lisboa Norte (CHLN), Lisbon, Portugal.
Cristina BárbaraUnidade de Técnicas Invasivas Pneumológicas, Pneumologia II, Hospital Pulido Valente, Centro Hospitalar Lisboa Norte (CHLN), Lisbon, Portugal.
Júlio SemedoUnidade de Técnicas Invasivas Pneumológicas, Pneumologia II, Hospital Pulido Valente, Centro Hospitalar Lisboa Norte (CHLN), Lisbon, Portugal.
Leonor MotaUnidade de Técnicas Invasivas Pneumológicas, Pneumologia II, Hospital Pulido Valente, Centro Hospitalar Lisboa Norte (CHLN), Lisbon, Portugal.
Ana Sofia CarvalhoComputational and Experimental Biology Group, CEDOC, Faculdade de Ciências Médicas, Universidade Nova de Lisboa, Lisboa, Portugal.ORCID http://orcid.org/0000-0003-0657-1907
Rune MatthiesenComputational and Experimental Biology Group, CEDOC, Faculdade de Ciências Médicas, Universidade Nova de Lisboa, Lisboa, Portugal.ORCID http://orcid.org/0000-0002-6353-2616
Luísa PereiraInstituto de Investigação e Inovação em Saúde, Universidade do Porto (I3S), Porto, Portugal.
Susana SeixasInstituto de Investigação e Inovação em Saúde, Universidade do Porto (I3S), Porto, Portugal. sseixas@ipatimup.pt.ORCID http://orcid.org/0000-0002-7035-7422
Universidade do Porto · PTHospital Pulido Valente · PTHospital de São João · PTUniversidade Nova de Lisboa · PTUniversity of Lisbon · PTCentro Hospitalar do Baixo Vouga · PTInstituto Politécnico da Guarda · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The lung is a complex ecosystem of host cells and microbes often disrupted in pathological conditions. Although bacteria have been hypothesized as agents of carcinogenesis, little is known about microbiota profile of the most prevalent cancer subtypes: adenocarcinoma (ADC) and squamous cell carcinoma (SCC). To characterize lung cancer (LC) microbiota a first a screening was performed through a pooled sequencing approach of 16S ribosomal RNA gene (V3-V6) using a total of 103 bronchoalveaolar lavage fluid samples. Then, identified taxa were used to inspect 1009 cases from The Cancer Genome Atlas and to annotate tumor unmapped RNAseq reads. Microbial diversity was analyzed per cancer subtype, history of cigarette smoking and airflow obstruction, among other clinical data. We show that LC microbiota is enriched in Proteobacteria and more diverse in SCC than ADC, particularly in males and heavier smokers. High frequencies of Proteobacteria were found to discriminate a major cluster, further subdivided into well-defined communities' associated with either ADC or SCC. Here, a SCC subcluster differing from other cases by a worse survival was correlated with several Enterobacteriaceae. Overall, this study provides first evidence for a correlation between lung microbiota and cancer subtype and for its influence on patient life expectancy.

Indexed as

MicrobiotaAdenocarcinomaBiodiversityBiomarkersCarcinoma, Squamous CellDiagnosis, DifferentialFollow-Up StudiesHumansLungLung NeoplasmsPrognosisSurvival AnalysisBiomarkers

Identifiers

PMID31492894
PMCPMC6731246
OpenAlexW2971894732

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.