Evidence map›Paper›PMID 34070587›Full record

ArticleCancers2021

Identification of Candidate Protein Biomarkers for CIN2+ Lesions from Self-Sampled, Dried Cervico-Vaginal Fluid Using LC-MS/MS.

Ariadna Lara Gutiérrez, Julia Hedlund Lindberg, Ganna Shevchenko, Inger Gustavsson, Jonas Bergquist, Ulf Gyllensten, Stefan Enroth

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
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

7 authors.

Ariadna Lara GutiérrezDepartment of Immunology, Genetics, and Pathology, Biomedical Center, SciLifeLab Uppsala, Uppsala University, SE-75108 Uppsala, Sweden.ORCID 0000-0003-3584-0627
Julia Hedlund LindbergDepartment of Immunology, Genetics, and Pathology, Biomedical Center, SciLifeLab Uppsala, Uppsala University, SE-75108 Uppsala, Sweden.
Ganna ShevchenkoAnalytical Chemistry, Department of Chemistry-Biomedical Center, Uppsala University, SE-75237 Uppsala, Sweden.
Inger GustavssonDepartment of Immunology, Genetics, and Pathology, Biomedical Center, SciLifeLab Uppsala, Uppsala University, SE-75108 Uppsala, Sweden.
Jonas BergquistAnalytical Chemistry, Department of Chemistry-Biomedical Center, Uppsala University, SE-75237 Uppsala, Sweden.ORCID 0000-0002-4597-041X
Ulf GyllenstenDepartment of Immunology, Genetics, and Pathology, Biomedical Center, SciLifeLab Uppsala, Uppsala University, SE-75108 Uppsala, Sweden.
Stefan EnrothDepartment of Immunology, Genetics, and Pathology, Biomedical Center, SciLifeLab Uppsala, Uppsala University, SE-75108 Uppsala, Sweden.ORCID 0000-0002-5056-9137

Funding

Consejo Nacional de Ciencia y Tecnología NAErik, Karin och Gösta Selanders stiftelse NAStiftelsen för Strategisk Forskning NASwedish Cancer Foundation NAVetenskapsrådet NA
6 · The paper itself

Abstract

Molecular screening programs for cervical cancer detect the presence of human papilloma virus (HPV) in cell material or vaginal fluids. Persistent infection with high-risk HPV is a necessary pre-requisite, but the majority of infections do not lead to pathological states. Additional biomarkers are needed to increase the specificity of the molecular tests. Here, we have investigated the possibility of detecting protein biomarkers using mass spectrometry from dried self-sampled cervico-vaginal fluid deposited on FTA cards. We found significant intra-individual correlations (

Indexed as

biomarkerscervical cancer pre-stagescervico–vaginal fluidFTA-cardsmass spectrometryproteomics

Identifiers

PMID34070587
PMCPMC8198222

What OpenQuestion holds

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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.