ArticleJournal of microbiological methods2021
Diversity and composition of gut microbiome of cervical cancer patients: Do results of 16S rRNA sequencing and whole genome sequencing approaches align?
Article in Journal of microbiological methods, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
What it found
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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
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Human papillomavirus, vaginal microbiota and metagenomics: the interplay between development and progression of cervical cancer.Frontiers in microbiology · 2024Pooled it
- Microbiome meets immunotherapy: unlocking the hidden predictors of immune checkpoint inhibitors.NPJ biofilms and microbiomes · 2025Article
- Evaluation of the taxonomic classification tools and visualizers for metagenomic analysis using the Oxford nanopore sequence database.Journal of applied genetics · 2025Article
- Integrative analysis of microbial 16S gene and shotgun metagenomic sequencing data improves statistical efficiency in testing differential abundance.Journal of the American Statistical Association · 2025Article
- Review
- The Role of the Microbiome in Cancer Therapies: Current Evidence and Future Directions.Hematology/oncology clinics of North America · 2025Review
- Decoding the Tumor-Associated Microbiota: From Origins to Nanomedicine Applications in Cancer Therapy.Biology · 2025Review
- Multicenter evaluation of gut microbiome profiling by next-generation sequencing reveals major biases in partial-length metabarcoding approach.Scientific reports · 2023Article
- Cervicovaginal Microbiota Profiles in Precancerous Lesions and Cervical Cancer among Ethiopian Women.Microorganisms · 2023Article
- Role of microbiota and microbiota-derived short-chain fatty acids in PDAC.Cancer medicine · 2023Review
- HPV-related anal cancer is associated with changes in the anorectal microbiome during cancer development.Frontiers in immunology · 2023Article
- Resources to Facilitate Use of the Altered Schaedler Flora (ASF) Mouse Model to Study Microbiome Function.mSystems · 2022Article
- Characterization of Vaginal Microbiota in Third Trimester Premature Rupture of Membranes Patients through 16S rDNA Sequencing.Pathogens (Basel, Switzerland) · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors.
Funding
Abstract
backgroundNext generation sequencing has progressed rapidly, characterizing microbial communities beyond culture-based or biochemical techniques. 16S ribosomal RNA gene sequencing (16S) produces reliable taxonomic classifications and relative abundances, while shotgun metagenome sequencing (WMS) allows higher taxonomic and functional resolution at greater cost. The purpose of this study was to determine if 16S and WMS provide congruent information for our patient population from paired fecal microbiome samples.
resultsComparative indices were highly congruent between 16S and WMS. The most abundant genera for 16S and WMS data did not overlap. Overlap was observed at the Phylum level, as expected. However, relative abundances correlated poorly between the two methodologies (all P-value>0.05). Hierarchical clustering of both sequencing analyses identified overlapping enterotypes. Both approaches were in agreement with regard to demographic variables.
conclusionDiversity, evenness and richness are comparable when using 16S and WMS techniques, however relative abundances of individual genera are not. Clinical associations with diversity and evenness metrics were similarly identified with WMS or 16S.
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Registered trials
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