Evidence map›Paper›PMID 41980904›Full record

ArticleCancer reports (Hoboken, N.J.)2026

Evaluating Sequencing Strategies for Endometrial Microbiome Profiling in Endometrial Cancer: A Comparative Study of Short- and Long-Read 16S rRNA Approaches.

Sophia Bebelman, Anastasiia Artuyants, Bianca Nijmeijer, Sandra Fitzgerald, Claire Henry, Cherie Blenkiron

Abstract readComparative Study
In one paragraph

Article in Cancer reports (Hoboken, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Sophia BebelmanAuckland Cancer Society Research Centre, University of Auckland, Auckland, New Zealand.ORCID 0009-0009-0265-0836
Anastasiia ArtuyantsAuckland Cancer Society Research Centre, University of Auckland, Auckland, New Zealand.ORCID 0000-0001-5351-5911
Bianca NijmeijerDepartment of Molecular Medicine and Pathology, University of Auckland, Auckland, New Zealand.ORCID 0000-0002-9429-8439
Sandra FitzgeraldDepartment of Molecular Medicine and Pathology, University of Auckland, Auckland, New Zealand.ORCID 0000-0002-5121-0804
Claire HenryDepartment of Surgery and Anaesthesia, University of Otago, Wellington, New Zealand.ORCID 0000-0002-9854-1379
Cherie BlenkironDepartment of Molecular Medicine and Pathology, University of Auckland, Auckland, New Zealand.ORCID 0000-0002-0217-3808

Funding

Cancer Research Trust New ZealandCancer Society of New ZealandMaurice and Phyllis Paykel Trust
6 · The paper itself

Abstract

backgroundEndometrial cancer (EC) is the most common gynaecological malignancy globally, with rising incidence and notable disparities in outcomes. In New Zealand, EC rates have increased significantly, particularly among Māori and Pacific women, who face higher risks of advanced disease and poorer outcomes. Microbial dysbiosis has been implicated in EC pathogenesis, but characterising the uterine microbiome is challenging due to low microbial biomass and high contamination risk.

aimsThis study aimed to pilot a protocol that could inform the preparation of a larger cohort trial. Short-read Illumina MiSeq and long-read Oxford Nanopore Technologies (ONT) 16S rRNA gene sequencing were investigated to profile the uterine microbiome in people with EC. METHODS AND

resultsUterine and vaginal swabs were analysed to assess platform performance in terms of DNA recovery, sequencing success, diversity metrics, and taxonomic resolution. The impact of sample freezing or immediate lysis prior to DNA extraction was also evaluated. ONT sequencing provided enhanced species-level resolution and improved detection of low-abundance taxa but showed variable performance in low-yield samples. Freezing prior to cell DNA extraction modestly increased bacterial 16S copy numbers and improved community consistency. Contamination was a problem across both platforms, particularly in low-biomass samples, but can be minimised during data analysis.

conclusionThis study provides practical guidance for sequencing platform selection and sample handling in uterine microbiome research. Our findings support future efforts to elucidate microbial contributions to EC pathogenesis and highlight the importance of rigorous contamination control. Importantly, this is the first presentation of a New Zealand cohort and contributes valuable data from an underrepresented population and informs future research in diverse clinical settings.

Indexed as

BacteriaDysbiosisEndometrial NeoplasmsEndometriumMicrobiotaRNA, Ribosomal, 16SDNA, BacterialFemaleHigh-Throughput Nucleotide SequencingHumansNew ZealandPilot ProjectsVaginaDNA, BacterialRNA, Ribosomal, 16S16S rRNA gene sequencingbacterial communityendometrial canceruterine microbiome

Identifiers

PMID41980904
PMCPMC13079076

What Socratic 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 Socratic graph.