Evidence map›Paper›PMID 41614857›Full record

ArticleCurrent issues in molecular biology2025

Exploring the Dynamic Interaction Between Pituitary Neuroendocrine Tumors (Pit-NETs) Cells and Their Angiogenic Microenvironment by Using the MIB1 Labeling Index, VEGF Expression and Digital Image Analysis.

Mihaela Cozma, Anca Maria Cimpean, Mihail Parnov, Ana Silvia Corlan, Silvia Stratulat, Paula Fala, Eugen Melnic

Abstract read
In one paragraph

Article in Current issues in molecular biology, 2025. 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
–field-weighted citation impact
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.

  1. Review
  2. 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

7 authors.

Mihaela CozmaDepartment of Pathology, Nicolae Testemitanu State University of Medicine and Pharmacy, MD 2004 Chisinau, Moldova.
Anca Maria CimpeanDepartment of Microscopic Morphology/Histology, "Victor Babeș" University of Medicine and Pharmacy Timisoara, Eftimie Murgu Square No 2, 300041 Timisoara, Romania.ORCID 0000-0002-9530-022X
Mihail ParnovDepartment of Pathology, Nicolae Testemitanu State University of Medicine and Pharmacy, MD 2004 Chisinau, Moldova.ORCID 0009-0004-2565-8877
Ana Silvia CorlanDepartment of Internal Medicine II, Discipline of Endocrinology, "Victor Babeș" University of Medicine and Pharmacy Timisoara, 300041 Timisoara, Romania.
Silvia StratulatDepartment of Biochemistry, Nicolae Testemitanu State University of Medicine and Pharmacy, MD 2004 Chisinau, Moldova.ORCID 0000-0003-0985-307X
Paula FalaDepartment of Neurology 1, Nicolae Testemitanu State University of Medicine and Pharmacy, MD 2004 Chisinau, Moldova.ORCID 0000-0002-6980-5224
Eugen MelnicDepartment of Pathology, Nicolae Testemitanu State University of Medicine and Pharmacy, MD 2004 Chisinau, Moldova.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One controversial issue in pituitary pathology is the simultaneous proliferation of PitNETs and endothelial cells. No previous studies have compared the MIB1 Labeling Index (MIB1 LI) of PitNETs and stromal endothelial compartments and its connection with VEGF protein and gene expression. Simultaneous PitNETs proliferation index assessment in tumor and endothelial cells is related to VEGF protein and gene expression, and by using the automated QuPath platform for digital image analysis (DIA), it can be determined whether this dual proliferation specifically characterizes certain PitNETs subtypes. A total of 109 PitNETs were immunostained for endothelial cells (CD34) and proliferation (MIB1). VEGF was assessed by using IHC and RNA scopes. QuPath_DIA measured hormone-dependent MIB1 nuclear expression in tumor and stromal endothelial cells. MIB1 LI correlated with VEGF_mRNA and protein expression. PRL-secreting and non-functioning PitNETs had a high MIB1 LI in stromal endothelial cells. MIB1-positive tumor cell (%MIB1 LI.T) and endothelial cell (%MIB1 LI.E) percentages were substantially correlated (

Indexed as

digital image analysisendothelial cellsPitNETsproliferationQuPathtumor cells

Identifiers

PMID41614857
PMCPMC12839843

What Socratic holds

Textmetadata
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 Socratic graph.