Evidence map›Paper›PMID 34888239›Full record

ArticleFrontiers in oncology2021

Variation in Plasma Levels of TRAF2 Protein During Development of Squamous Cell Carcinoma of the Oral Tongue.

Xiaolian Gu, Philip Coates, Lixiao Wang, Baris Erdogan, Amir Salehi, Nicola Sgaramella, Katarina Zborayova, Karin Nylander

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

8 authors at 2 institutions in 2 countries.

Xiaolian GuDepartment of Medical Biosciences, Umeå University, Umeå, Sweden.
Philip CoatesResearch Centre for Applied Molecular Oncology, Masaryk Memorial Cancer Institute, Brno, Czechia.
Lixiao WangDepartment of Medical Biosciences, Umeå University, Umeå, Sweden.
Baris ErdoganDepartment of Clinical Sciences, Umeå University, Umeå, Sweden.
Amir SalehiDepartment of Medical Biosciences, Umeå University, Umeå, Sweden.
Nicola SgaramellaDepartment of Medical Biosciences, Umeå University, Umeå, Sweden.
Katarina ZborayovaDepartment of Clinical Sciences, Umeå University, Umeå, Sweden.
Karin NylanderDepartment of Medical Biosciences, Umeå University, Umeå, Sweden.
Umeå University · SEMasaryk Memorial Cancer Institute · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As early detection is crucial for improvement of cancer prognosis, we searched for biomarkers in plasma from individuals who later developed squamous cell carcinoma of the oral tongue (SCCOT) as well as in patients with an already established SCCOT. Levels of 261 proteins related to inflammation and/or tumor processes were measured using the proximity extension assay (PEA) in 179 plasma samples (42 collected before diagnosis of SCCOT with 81 matched controls; 28 collected at diagnosis of SCCOT with 28 matched controls). Statistical modeling tools principal component analysis (PCA) and orthogonal partial least square - discriminant analysis (OPLS-DA) were applied to provide insights into separations between groups. PCA models failed to achieve group separation of SCCOT patients from controls based on protein levels in samples taken prior to diagnosis or at the time of diagnosis. For pre-diagnostic samples and their controls, no significant OPLS-DA model was identified. Potentials for separating pre-diagnostic samples collected up to five years before diagnosis (

Indexed as

biomarkerplasma proteinpredictiontongue cancerTRAF2

Identifiers

PMID34888239
PMCPMC8649619
OpenAlexW3217203291

What OpenQuestion 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 OpenQuestion graph.