Evidence map›Paper›PMID 26880947›Full record

ArticleStem cells international2016

MicroRNAs-Proteomic Networks Characterizing Human Medulloblastoma-SLCs.

Giuseppina Catanzaro, Zein Mersini Besharat, Neha Garg, Maurizio Ronci, Luisa Pieroni, Evelina Miele, Angela Mastronuzzi, Andrea Carai, Vincenzo Alfano, Agnese Po and 4 more

Abstract read
In one paragraph

Article in Stem cells international, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. The Non-coding Side of Medulloblastoma.Frontiers in cell and developmental biology · 2020
    Review
  2. Article
  3. Article
  4. Circulating MicroRNAs in Elderly Type 2 Diabetic Patients.International journal of endocrinology · 2018
    Article
  5. Article
  6. 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

14 authors.

Giuseppina CatanzaroDepartment of Molecular Medicine and Experimental Medicine, Sapienza University, 00161 Rome, Italy.
Zein Mersini BesharatDepartment of Molecular Medicine, Sapienza University, 00161 Rome, Italy.ORCID 0000-0003-0317-9854
Neha GargDepartment of Molecular Medicine, Sapienza University, 00161 Rome, Italy.ORCID 0000-0003-2227-8292
Maurizio RonciSanta Lucia IRCCS Foundation, 00143 Rome, Italy; Department of Medical, Oral and Biotechnological Sciences, University G. d'Annunzio of Chieti-Pescara, 66013 Chieti, Italy; Mawson Institute, University of South Australia, Mawson Lakes, SA 5095, Australia.ORCID 0000-0002-0797-6087
Luisa PieroniSanta Lucia IRCCS Foundation, 00143 Rome, Italy; Department of Experimental Medicine and Surgery, University of Rome "Tor Vergata", 00133 Rome, Italy.ORCID 0000-0001-7141-1817
Evelina MieleDepartment of Molecular Medicine, Sapienza University, 00161 Rome, Italy; Center for Life NanoScience at Sapienza, Italian Institute of Technology, Viale Regina Elena 291, 00161 Rome, Italy.ORCID 0000-0002-4747-1032
Angela MastronuzziDepartment of Hematology/Oncology and Stem Cell Transplantation, Bambino Gesù Children's Hospital, IRCCS, 00165 Rome, Italy.
Andrea CaraiDepartment of Neuroscience and Neurorehabilitation, Neurosurgery Unit, Bambino Gesù Children's Hospital, IRCCS, 00165 Rome, Italy.ORCID 0000-0002-5203-7855
Vincenzo AlfanoDepartment of Molecular Medicine, Sapienza University, 00161 Rome, Italy; Center for Life NanoScience at Sapienza, Italian Institute of Technology, Viale Regina Elena 291, 00161 Rome, Italy.ORCID 0000-0001-8594-9837
Agnese PoDepartment of Molecular Medicine, Sapienza University, 00161 Rome, Italy.ORCID 0000-0002-9346-8782
Isabella ScrepantiDepartment of Molecular Medicine, Sapienza University, 00161 Rome, Italy; Center for Life NanoScience at Sapienza, Italian Institute of Technology, Viale Regina Elena 291, 00161 Rome, Italy.
Franco LocatelliDepartment of Hematology/Oncology and Stem Cell Transplantation, Bambino Gesù Children's Hospital, IRCCS, 00165 Rome, Italy; Department of Pediatric Science, University of Pavia, 27100 Pavia, Italy.ORCID 0000-0002-7976-3654
Andrea UrbaniSanta Lucia IRCCS Foundation, 00143 Rome, Italy; Department of Experimental Medicine and Surgery, University of Rome "Tor Vergata", 00133 Rome, Italy.ORCID 0000-0001-9168-3174
Elisabetta FerrettiDepartment of Molecular Medicine and Experimental Medicine, Sapienza University, 00161 Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medulloblastoma (MB) is the most common malignant brain tumor of pediatric age and is characterized by cells expressing stem, astroglial, and neuronal markers. Among them, stem-like cells (hMB-SLCs) represent a fraction of the tumor cell population with the potential of self-renewal and proliferation and have been associated with tumor poor prognosis. In this context, microRNAs have been described as playing a pivotal role in stem cells differentiation. In our paper, we analyze microRNAs profile and genes expression of hMB-SLCs before and after Retinoic Acid- (RA-) induced differentiation. We aimed to identify pivotal players of specific pathways sustaining stemness and/or tumor development and progression and integrate the results of our recent proteomic study. Our results uncovered 22 differentially expressed microRNAs that were used as input together with deregulated genes and proteins in the Genomatix Pathway System (GePS) analysis revealing 3 subnetworks that could be interestingly involved in the maintenance of hMB-SLCs proliferation. Taken together, our findings highlight microRNAs, genes, and proteins that are significantly modulated in hMB-SLCs with respect to their RA-differentiated counterparts and could open new perspectives for prognostic and therapeutic intervention on MB.

Identifiers

PMID26880947
PMCPMC4736593

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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.