Evidence map›Paper›PMID 36551747›Full record

ArticleCancers2022

A Label-Free Proteomic Approach for the Identification of Biomarkers in the Exosome of Endometrial Cancer Serum.

Eduardo Sommella, Valeria Capaci, Michelangelo Aloisio, Emanuela Salviati, Pietro Campiglia, Giuseppe Molinario, Danilo Licastro, Giovanni Di Lorenzo, Federico Romano, Giuseppe Ricci and 2 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 13% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
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  4. SAA4: An Underdog Within the Serum Amyloid a Superfamily?International journal of molecular sciences · 2026
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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

12 authors at 4 institutions in 1 country.

Eduardo SommellaDepartment of Pharmacy, University of Salerno, 84084 Salerno, Italy.
Valeria CapaciInstitute for Maternal and Child Health, IRCCS Burlo Garofolo, 34137 Trieste, Italy.ORCID 0000-0002-0110-5942
Michelangelo AloisioInstitute for Maternal and Child Health, IRCCS Burlo Garofolo, 34137 Trieste, Italy.
Emanuela SalviatiDepartment of Pharmacy, University of Salerno, 84084 Salerno, Italy.ORCID 0000-0003-2867-2784
Pietro CampigliaDepartment of Pharmacy, University of Salerno, 84084 Salerno, Italy.ORCID 0000-0002-1069-2181
Giuseppe MolinarioLife Sciences Department, University of Trieste, 34149 Trieste, Italy.
Danilo LicastroAREA Science Park, Basovizza, 34149 Trieste, Italy.ORCID 0000-0001-8372-9355
Giovanni Di LorenzoInstitute for Maternal and Child Health, IRCCS Burlo Garofolo, 34137 Trieste, Italy.
Federico RomanoInstitute for Maternal and Child Health, IRCCS Burlo Garofolo, 34137 Trieste, Italy.ORCID 0000-0003-2157-8330
Giuseppe RicciInstitute for Maternal and Child Health, IRCCS Burlo Garofolo, 34137 Trieste, Italy.ORCID 0000-0002-8031-1102
Lorenzo MonastaInstitute for Maternal and Child Health, IRCCS Burlo Garofolo, 34137 Trieste, Italy.ORCID 0000-0001-7774-548X
Blendi UraInstitute for Maternal and Child Health, IRCCS Burlo Garofolo, 34137 Trieste, Italy.
IRCCS Materno Infantile Burlo Garofolo · ITUniversity of Salerno · ITUniversity of Trieste · ITAREA Science Park · IT

Funding

This research was funded by the Italian Ministry of Health RC18/19
6 · The paper itself

Abstract

Endometrial cancers (ECs) are mostly adenocarcinomas arising from the inner part of the uterus. The identification of serum biomarkers, either soluble or carried in the exosome, may be useful in making an early diagnosis. We used label-free quantification mass spectrometry (LFQ-MS)-based proteomics to investigate the proteome of exosomes in the albumin-depleted serum from 12 patients with EC, as compared to 12 healthy controls. After quantification and statistical analysis, we found significant changes in the abundance (p < 0.05) of 33 proteins in EC vs. control samples, with a fold change of ≥1.5 or ≤0.6. Validation using Western blotting analysis in 36 patients with EC as compared to 36 healthy individuals confirmed the upregulation of APOA1, HBB, CA1, HBD, LPA, SAA4, PF4V1, and APOE. A multivariate logistic regression model based on the abundance of these proteins was able to separate the controls from the EC patients with excellent sensitivity levels, particularly for stage 1 ECs. The results show that using LFQ-MS to explore the specific proteome of serum exosomes allows for the identification of biomarkers in EC. These observations suggest that PF4V1, CA1, HBD, and APOE represent biomarkers that are able to reach the clinical stage, after a validation phase.

Indexed as

biomarkerendometrial cancerexosomeLFQ-MS

Identifiers

PMID36551747
PMCPMC9776976
OpenAlexW4312140546

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.