Evidence map›Paper›PMID 38223202›Full record

ArticleFASEB bioAdvances2024

Altered microheterogeneity at several N-glycosylation sites in OPSCC in constant protein expression conditions.

Amy Dickinson, Sakari Joenväärä, Tiialotta Tohmola, Jutta Renkonen, Petri Mattila, Timo Carpén, Antti Mäkitie, Suvi Silén

Open access · goldAbstract read
In one paragraph

Article in FASEB bioAdvances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

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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.

Amy DickinsonDepartment of Otorhinolaryngology-Head and Neck Surgery University of Helsinki and Helsinki University Hospital Helsinki Finland.ORCID https://orcid.org/0000-0003-4559-7819
Sakari JoenvääräTransplantation Laboratory, Haartman Institute University of Helsinki Finland.ORCID https://orcid.org/0000-0002-6378-8726
Tiialotta TohmolaTransplantation Laboratory, Haartman Institute University of Helsinki Finland.ORCID https://orcid.org/0000-0002-4804-3136
Jutta RenkonenTransplantation Laboratory, Haartman Institute University of Helsinki Finland.
Petri MattilaDepartment of Otorhinolaryngology-Head and Neck Surgery University of Helsinki and Helsinki University Hospital Helsinki Finland.ORCID https://orcid.org/0000-0003-1911-1811
Timo CarpénDepartment of Otorhinolaryngology-Head and Neck Surgery University of Helsinki and Helsinki University Hospital Helsinki Finland.ORCID https://orcid.org/0000-0003-0117-8559
Antti MäkitieDepartment of Otorhinolaryngology-Head and Neck Surgery University of Helsinki and Helsinki University Hospital Helsinki Finland.ORCID https://orcid.org/0000-0002-0451-2404
Suvi SilénDepartment of Otorhinolaryngology-Head and Neck Surgery University of Helsinki and Helsinki University Hospital Helsinki Finland.ORCID https://orcid.org/0000-0003-1240-0661
University of Helsinki · FIKarolinska University Hospital · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein glycosylation responds sensitively to disease states. It is implicated in every hallmark of cancer and has recently started to be considered as a hallmark itself. Changes in N-glycosylation microheterogeneity are more dramatic than those of protein expression due to the non-template nature of protein glycosylation. This enables their potential use in serum-based diagnostics. Here, we perform glycopeptidomics on serum from patients with oropharyngeal squamous cell carcinoma (OPSCC), compared to controls and comparing between cancers based on etiology (human papilloma virus- positive or negative). Using MS2, we then targeted glycoforms, significantly different between the groups, to identify their glycopeptide compositions. Simultaneously we investigate the same serum proteins, comparing whether N-glycosylation changes reflect protein-level changes. Significant glycoforms were identified from proteins such as alpha-1-antitrypsin (SERPINA1), haptoglobin, and different immunoglobulins. SERPINA1 had glycovariance at 2 N-glycosylation sites, that were up to 35 times more abundant in even early-stage OPSCCs, despite minimal differences between SERPINA1 protein levels between groups. Some identified glycoforms' fold changes (FCs) were in line with serum protein level FCs, others were less abundant in early-stage cancers but with great variance in higher-stage cancers, such as on immunoglobulin heavy constant gamma 2, despite no change in protein levels. Such findings indicate that glycovariant analysis might be more beneficial than proteomic analysis, which is yet to be fruitful in the search for biomarkers. Highly sensitive glycopeptide changes could potentially be used in the future for cancer screening. Additionally, characterizing the glycopeptide changes in OPSCC is valuable in the search for potential therapeutic targets.

Indexed as

alpha‐1‐antitrypsinglycosylationIgAN‐glycopeptidesoropharyngeal squamous cell carcinoma

Identifiers

PMID38223202
PMCPMC10782471
OpenAlexW4389735053

What OpenQuestion holds

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LicenceCC BY
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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.