Evidence map›Paper›PMID 36064569›Full record

ArticleScientific reports2022

Metatranscriptome analysis in human papillomavirus negative cervical cancers.

Agustin Enrique Ure, Camilla Lagheden, Laila Sara Arroyo Mühr

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Human papillomavirus negative high grade cervical lesions and cancers: Suggested guidance for HPV testing quality assurance.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 2024
    Article
  5. Review
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

3 authors.

Agustin Enrique UreDepartment of Laboratory Medicine, Karolinska Institutet, 141 86, Stockholm, Sweden.
Camilla LaghedenDepartment of Laboratory Medicine, Karolinska Institutet, 141 86, Stockholm, Sweden.
Laila Sara Arroyo MührDepartment of Laboratory Medicine, Karolinska Institutet, 141 86, Stockholm, Sweden. sara.arroyo.muhr@ki.se.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human papillomavirus (HPV) negative cancers are associated with symptomatic detection, late-stage diagnosis, and worse prognosis. It is thus essential to investigate all possible infectious agents and biomarkers that could early identify these HPV negative cancers. We aimed to analyze and compare the metatranscriptome present in HPV positive and HPV negative cervical cancers. We analyzed the whole RNA sequencing files from 223 HPV negative cervical cancers (negativity established after confirming cervical cancer diagnosis, sample adequacy and subjecting specimens to PCR and unbiased RNA sequencing), 223 HPV positive tumors and 11 blank paraffin block pools (used as controls) using Kraken2 software. Overall, 84 bacterial genera were detected, with 6/84 genera showing a positive median number of reads/sample and being present in both cervical tumor groups (HPV positive and negative). Viral reads belonged to 63 different viral genera, with 6/63 genera showing a positive median annotated read/sample value. No significant difference among genera was detected except for the presence of alpha-papillomaviruses. Metatranscriptome of bacteria and viruses present in HPV positive and HPV negative cervical cancers show no significant difference, except for HPV. Further studies are needed to early identify this biologically distinct group of cervical cancers.

Indexed as

AlphapapillomavirusPapillomavirus InfectionsUterine Cervical NeoplasmsDNA, ViralFemaleHumansPapillomaviridaeDNA, Viral

Identifiers

PMID36064569
PMCPMC9445079

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Registered trials

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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.