Evidence map›Paper›PMID 33441939›Full record

ArticleScientific reports2021

Differences in the bacteriome of swab, saliva, and tissue biopsies in oral cancer.

Divya Gopinath, Rohit Kunnath Menon, Chong Chun Wie, Moinak Banerjee, Swagatika Panda, Deviprasad Mandal, Paresh Kumar Behera, Susanta Roychoudhury, Supriya Kheur, Michael George Botelho and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 2 pooled it
3.3field-weighted citation impact, top 7% 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

43 citing papers in PubMed, 2 syntheses or guidelines pooled it, 55 citations in OpenAlex.

  1. Pooled it
  2. Association of Microbiome with Oral Squamous Cell Carcinoma: A Systematic Review of the Metagenomic Studies.International journal of environmental research and public health · 2021
    Pooled it
  3. International journal of molecular sciences · 2026
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  18. Biological biomarkers of oral cancer.Periodontology 2000 · 2024
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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

11 authors at 9 institutions in 5 countries.

Divya GopinathFaculty of Dentistry, Prince Philip Dental Hospital, University of Hong Kong, Street 34 Hospital Rd, Sai Ying Pun, Hong Kong, SAR, China.
Rohit Kunnath MenonClinical Dentistry, School of Dentistry, International Medical University, Kuala Lumpur, Malaysia.
Chong Chun WieSchool of Pharmacy, Monash University, Selangor, Malaysia.
Moinak BanerjeeHuman Molecular Genetics Lab, Rajiv Gandhi Centre for Biotechnology, Trivandrum, India.
Swagatika PandaDepartment of Oral Pathology and Microbiology, Siksha O Anusandhan University, Bhubaneswar, India.
Deviprasad MandalDepartment of Oral Pathology and Microbiology, Siksha O Anusandhan University, Bhubaneswar, India.
Paresh Kumar BeheraHead and Neck Oncology, Acharya Harihara Regional Cancer Centre, Bhubaneswar, India.
Susanta RoychoudhurySaroj Gupta Cancer Centre and Research Institute, Kolkata, India.
Supriya KheurDepartment of Oral Pathology and Microbiology, D.Y. Patil Dental College, D.Y. Patil Vidyapeeth, Pune, Maharashtra, India.
Michael George BotelhoFaculty of Dentistry, Prince Philip Dental Hospital, University of Hong Kong, Street 34 Hospital Rd, Sai Ying Pun, Hong Kong, SAR, China. botelho@hku.hk.
Newell W JohnsonFaculty of Dentistry, Prince Philip Dental Hospital, University of Hong Kong, Street 34 Hospital Rd, Sai Ying Pun, Hong Kong, SAR, China. n.johnson@griffith.edu.au.
Prince Philip Dental Hospital · CNSiksha O Anusandhan University · INDr. D.Y. Patil Vidyapeeth, Pune · INGriffith University · AUInternational Medical University · MYMonash University Malaysia · MYRajiv Gandhi Centre for Biotechnology · INRegional Cancer Center, Thiruvananthapuram · INSaroj Gupta Cancer Centre & Research Institute · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Microbial dysbiosis has been implicated in the pathogenesis of oral cancer. We analyzed the compositional and metabolic profile of the bacteriome in three specific niches in oral cancer patients along with controls using 16SrRNA sequencing (Illumina Miseq) and DADA2 software. We found major differences between patients and control subjects. Bacterial communities associated with the tumor surface and deep paired tumor tissue differed significantly. Tumor surfaces carried elevated abundances of taxa belonging to genera Porphyromonas, Enterobacteriae, Neisseria, Streptococcus and Fusobacteria, whereas Prevotella, Treponema, Sphingomonas, Meiothermus and Mycoplasma genera were significantly more abundant in deep tissue. The most abundant microbial metabolic pathways were those related to fatty-acid biosynthesis, carbon metabolism and amino-acid metabolism on the tumor surface: carbohydrate metabolism and organic polymer degradation were elevated in tumor tissues. The bacteriome of saliva from patients with oral cancer differed significantly from paired tumor tissue in terms of community structure, however remained similar at taxonomic and metabolic levels except for elevated abundances of Streptococcus, Lactobacillus and Bacteroides, and acetoin-biosynthesis, respectively. These shifts to a pro-inflammatory profile are consistent with other studies suggesting oncogenic properties. Importantly, selection of the principal source of microbial DNA is key to ensure reliable, reproducible and comparable results in microbiome studies.

Indexed as

BacteriaBiopsyDNA, BacterialFemaleHumansInflammationMaleMetabolic Networks and PathwaysMicrobiotaMiddle AgedMouth NeoplasmsRNA, Ribosomal, 16SSalivaDNA, BacterialRNA, Ribosomal, 16S

Identifiers

PMID33441939
PMCPMC7806708
OpenAlexW3119377427

What OpenQuestion holds

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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.