Evidence map›Paper›PMID 35723312›Full record

ArticleCurrent issues in molecular biology2022

hERG1 Potassium Channel Expression in Colorectal Adenomas: Comparison with Other Preneoplastic Lesions of the Gastrointestinal Tract.

Elena Lastraioli, Jessica Iorio, Federica Petrelli, Anna Tomezzoli, Serena Battista, Maria Raffaella Ambrosio, Mariella Chiudinelli, Federica De Salvatore, Luca Messerini, Vincenzo Villanacci and 3 more

Open access · goldAbstract read
In one paragraph

Article in Current issues in molecular biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 39% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

13 authors at 7 institutions in 1 country.

Elena LastraioliDepartment of Experimental and Clinical Medicine, University of Florence, Viale GB Morgagni 50, 50134 Florence, Italy.ORCID 0000-0002-1531-8973
Jessica IorioDepartment of Experimental and Clinical Medicine, University of Florence, Viale GB Morgagni 50, 50134 Florence, Italy.
Federica PetrelliPathology Division, Azienda Ospedaliero-Universitaria Senese, Viale M Bracci 16, 53100 Siena, Italy.
Anna TomezzoliPathology Division, Borgo Trento Hospital, Piazzale A Stefani 1, 37134 Verona, Italy.
Serena BattistaPathology Department, "S. Maria della Misericordia Hospital", Friuli-Venezia Giulia, 33100 Udine, Italy.ORCID 0000-0002-8191-0131
Maria Raffaella AmbrosioPathology Division, Azienda Ospedaliero-Universitaria Senese, Viale M Bracci 16, 53100 Siena, Italy.ORCID 0000-0002-1172-6902
Mariella ChiudinelliPathology Division, Esine Hospital, ASST della Valcamonica, Via A Manzoni 142, 25040 Esine, Italy.ORCID 0000-0001-5937-3889
Federica De SalvatoreInstitute of Pathology, ASST Spedali Civili di Brescia, Piazzale Spedali Civili 1, 25123 Brescia, Italy.
Luca MesseriniDepartment of Experimental and Clinical Medicine, University of Florence, Viale GB Morgagni 50, 50134 Florence, Italy.
Vincenzo VillanacciInstitute of Pathology, ASST Spedali Civili di Brescia, Piazzale Spedali Civili 1, 25123 Brescia, Italy.
Luca SaragoniPathology Division, Morgagni-Pierantoni Hospital, Via C Forlanini 34, 47121 Forlì, Italy.
Annarosa ArcangeliDepartment of Experimental and Clinical Medicine, University of Florence, Viale GB Morgagni 50, 50134 Florence, Italy.
Gruppo Italiano di Ricerca Cancro Gastrico (GIRCG)
University of Florence · ITAzienda Ospedaliera Universitaria Senese · ITAzienda Socio Sanitaria Territoriale degli Spedali Civili di Brescia · ITAziende Socio Sanitarie Territoriale della ValcamonicaOspedale G.B. Morgagni - L.Pierantoni · ITOspedale Santa Maria della Misericordia di Udine · ITProvincia Autonoma di Trento · IT

Funding

Italian Association for Cancer Research IG 15627Italian Association for Cancer Research IG 1662Italian Association for Cancer Research IG 21510Regione Toscana (D.G.R. 1157/2011 "A novel endoscopic surveillance protocol in patients with Barrett's esophagus to predict the progression to esophageal adenocarcinoma" C.U.P. B11J12000940002
6 · The paper itself

Abstract

Preneoplastic lesions represent a useful target for early diagnosis and follow-up of gastrointestinal malignancies. hERG1 channel expression was tested by immunohistochemistry (IHC) in a cohort of colorectal adenoma samples belonging to Italian subjects. Overall, hERG1 was expressed in 56.5% of cases with both high staining intensity and a high percentage of positive cells. Moreover, hERG1 was expressed in a higher percentage of dysplastic adenomas with respect to hyperplastic lesions, and the proportion of positive samples further increased in patients with high-grade dysplasia. Comparing hERG1 expression in other preneoplastic lesions of the GI tract (gastric dysplasia and Barrett's esophagus), it emerged that in all the conditions, hERG1 was expressed with a diffused pattern, throughout the cell, with variable staining intensity within the samples. The highest expression was detected in gastric dysplasia samples and the lowest in Barrett's esophagus at similar levels observed in colorectal adenomas. Our results show that hERG1 is aberrantly expressed in human preneoplastic lesions of the gastrointestinal tract and has a different pattern of expression and role in the different sites. Overall, the detection of hERG1 expression in preneoplastic lesions could represent a novel diagnostic or prognostic marker of progression in the gastrointestinal tract.

Indexed as

Barrett’ s esophaguscolorectal adenomasgastric dysplasiashERG1 potassium channels

Identifiers

PMID35723312
PMCPMC8947036
OpenAlexW4220982717

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.