Evidence map›Paper›PMID 36010311›Full record

ArticleDiagnostics (Basel, Switzerland)2022

Proposal for a New Diagnostic Histopathological Approach in the Evaluation of Ki-67 in GEP-NETs.

Pinuccia Faviana, Laura Boldrini, Carlo Gentile, Paola Anna Erba, Enrico Sammarco, Francesco Bartoli, Enrica Esposito, Luca Galli, Piero Vincenzo Lippolis, Massimo Bardi

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2022. 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
0.9field-weighted citation impact, top 26% 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, 7 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

10 authors at 4 institutions in 2 countries.

Pinuccia FavianaDepartment of Surgical, Medical, Molecular Pathology and Critical Area, University of Pisa, 56126 Pisa, Italy.
Laura BoldriniDepartment of Surgical, Medical, Molecular Pathology and Critical Area, University of Pisa, 56126 Pisa, Italy.
Carlo GentileAzienda Ospedaliera di Catanzaro "Pugliese Ciaccio", 88100 Catanzaro, Italy.
Paola Anna ErbaDepartment of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, 56126 Pisa, Italy.ORCID 0000-0003-0058-7377
Enrico SammarcoDepartment of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, 56126 Pisa, Italy.ORCID 0000-0002-1390-918X
Francesco BartoliDepartment of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, 56126 Pisa, Italy.ORCID 0000-0002-2702-3259
Enrica EspositoDepartment of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, 56126 Pisa, Italy.
Luca GalliDepartment of Translational Research and New Technologies in Medicine and Surgery, University of Pisa, 56126 Pisa, Italy.ORCID 0000-0001-6008-0266
Piero Vincenzo LippolisGeneral and Peritoneal Surgery, Department of Surgery, Azienda Ospedaliero-Universitaria Pisana, 56124 Pisa, Italy.
Massimo BardiDepartment of Psychology and Neuroscience, Randolph-Macon College, Ashland, VA 23005, USA.
University of Pisa · ITAzienda Ospedaliera Pugliese Ciaccio · ITAzienda Ospedaliera Universitaria Pisana · ITRandolph–Macon College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionStudies have shown that the Ki-67 index is a valuable biomarker for the diagnosis, and classification of gastro-entero-pancreatic neuroendocrine tumors (GEP-NETs). We re-evaluated the expression of Ki-67 based on the intensity of the stain, basing our hypothesis on the fact that the Ki-67 protein is continuously degraded.

backgroundThe aim was to evaluate whether a new scoring method would be more effective in classifying NETs by reducing staining heterogeneity.

methodsPatients with GEP-NET (n = 87) were analyzed. The classification difference between the two methods was determined.

resultsThe classification changed significantly when the Ki-67 semiquantal index was used. The percentage of G1 patients increased from 18.4% to 60.9%, while the G2 patients decreased from 66.7% to 29.9% and the G3 patients also decreased from 14.9% to 9.2%. Moreover, it was found that the traditional Ki-67 was not significantly related to the overall survival (OS), whereas the semiquantal Ki-67 was significantly related to the OS.

conclusionsThe new quantification was a better predictor of OS and of tumor classification. Therefore, it could be used both as a marker of proliferation and as a tool to map tumor dynamics that can influence the diagnosis and guide the choice of therapy.

Indexed as

digital analysisimmunohistochemistryKi67neuroendocrine tumors

Identifiers

PMID36010311
PMCPMC9407142
OpenAlexW4291392570

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.