Evidence map›Paper›PMID 29789901›Full record

ArticleHeart and vessels2018

Cell differentiation in cardiac myxomas: confocal microscopy and gene expression analysis after laser capture microdissection.

Angela Pucci, Claudia Mattioli, Marco Matteucci, Daniele Lorenzini, Francesca Panvini, Simone Pacini, Chiara Ippolito, Michele Celiento, Andrea De Martino, Amelio Dolfi and 4 more

Abstract read
PubMed Publisher
In one paragraph

Article in Heart and vessels, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.2field-weighted citation impact, top 45% 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

7 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Review
  3. Cardiac myxoma: a comprehensive review.Journal of cardiothoracic surgery · 2025
    Review
  4. Review
  5. Article
  6. Review
  7. Article
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

14 authors at 3 institutions in 1 country.

Angela PucciHistopathology Department, Pisa University Hospital, Pisa, Italy. angelapucci@libero.it.ORCID http://orcid.org/0000-0001-8110-4458
Claudia MattioliHistopathology Department, Pisa University Hospital, Pisa, Italy.
Marco MatteucciInstitute of Life Sciences, Scuola Superiore "Sant'Anna", Pisa, Italy.
Daniele LorenziniHistopathology Department, Pisa University Hospital, Pisa, Italy.
Francesca PanviniHematology Department, Pisa University, Pisa, Italy.
Simone PaciniHematology Department, Pisa University, Pisa, Italy.
Chiara IppolitoUnit of Medical Histology and Embryology, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
Michele CelientoCardiac Surgery Department, Pisa University, Pisa, Italy.
Andrea De MartinoCardiac Surgery Department, Pisa University, Pisa, Italy.
Amelio DolfiUnit of Medical Histology and Embryology, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
Beatrice BelgioHistopathology Department, Pisa University Hospital, Pisa, Italy.
Uberto BortolottiCardiac Surgery Department, Pisa University, Pisa, Italy.
Fulvio BasoloPisa University, Pisa, Italy.
Giovanni BartoloniPathology Department, University of Catania, Catania, Italy.
University of Pisa · ITScuola Superiore Sant'Anna · ITUniversity of Catania · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiac myxomas are rare tumors with a heterogeneous cell population including properly neoplastic (lepidic), endothelial and smooth muscle cells. The assessment of neoplastic (lepidic) cell differentiation pattern is rather difficult using conventional light microscopy immunohistochemistry and/or whole tissue extracts for mRNA analyses. In a preliminary study, we investigated 20 formalin-fixed and paraffin-embedded cardiac myxomas by means of conventional immunohistochemistry; in 10/20 cases, cell differentiation was also analyzed by real-time RT-PCR after laser capture microdissection of the neoplastic cells, whereas calretinin and endothelial antigen CD31 immunoreactivity was localized in 4/10 cases by double immunofluorescence confocal microscopy. Gene expression analyses of α-smooth muscle actin, endothelial CD31 antigen, alpha-cardiac actin, matrix metalloprotease-2 (MMP2) and tissue inhibitor of matrix metalloprotease-1 (TIMP1) was performed on cDNA obtained from either microdissected neoplastic cells or whole tumor sections. We found very little or absent CD31 and α-Smooth Muscle Actin expression in the microdissected cells as compared to the whole tumors, whereas TIMP1 and MMP2 genes were highly expressed in both ones, greater levels being found in patients with embolic phenomena. α-Cardiac Actin was not detected. Confocal microscopy disclosed two different signals corresponding to calretinin-positive myxoma cells and to endothelial CD31-positive cells, respectively. In conclusion, the neoplastic (lepidic) cells showed a distinct gene expression pattern and no consistent overlapping with endothelial and smooth muscle cells or cardiac myocytes; the expression of TIMP1 and MMP2 might be related to clinical presentation; larger series studies using also systematic transcriptome analysis might be useful to confirm the present results.

Indexed as

ActinsAdultAgedAged, 80 and overCalbindin 2Cell DifferentiationFemaleGene Expression Regulation, NeoplasticHeart NeoplasmsHumansImmunohistochemistryLaser Capture MicrodissectionMaleMicroscopy, ConfocalMiddle AgedMyocardiumACTA2 protein, humanActinsCALB2 protein, humanCalbindin 2Platelet Endothelial Cell Adhesion Molecule-1RNA, NeoplasmCardiac myxomaConfocal microscopyGene expressionImmunohistochemistryLaser capture microdissectionTranscription factors

Identifiers

PMID29789901
OpenAlexW2805005014

What OpenQuestion holds

Textmetadata
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.