Evidence mapPaperPMID 38835012Full record

ReviewJournal of biomedical science2024

Osteosarcoma in a ceRNET perspective.

Nicola Mosca, Nicola Alessio, Alessandra Di Paola, Maria Maddalena Marrapodi, Umberto Galderisi, Aniello Russo, Francesca Rossi, Nicoletta Potenza

Abstract readReview
In one paragraph

Review in Journal of biomedical science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Review
  15. 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

8 authors.

Nicola MoscaDepartment of Environmental, Biological and Pharmaceutical Sciences and Technologies, University of Campania "Luigi Vanvitelli", Caserta, Italy.ORCID http://orcid.org/0000-0003-0405-3807
Nicola AlessioDepartment of Experimental Medicine, University of Campania "Luigi Vanvitelli", Naples, Italy.ORCID http://orcid.org/0000-0002-5019-2130
Alessandra Di PaolaDepartment of Woman, Child and General and Specialist Surgery, University of Campania "Luigi Vanvitelli", Naples, Italy.ORCID http://orcid.org/0000-0001-5634-3967
Maria Maddalena MarrapodiDepartment of Woman, Child and General and Specialist Surgery, University of Campania "Luigi Vanvitelli", Naples, Italy.ORCID http://orcid.org/0000-0002-9494-6942
Umberto GalderisiDepartment of Experimental Medicine, University of Campania "Luigi Vanvitelli", Naples, Italy.ORCID http://orcid.org/0000-0003-0909-7403
Aniello RussoDepartment of Environmental, Biological and Pharmaceutical Sciences and Technologies, University of Campania "Luigi Vanvitelli", Caserta, Italy.ORCID http://orcid.org/0000-0001-5421-3552
Francesca RossiDepartment of Woman, Child and General and Specialist Surgery, University of Campania "Luigi Vanvitelli", Naples, Italy.ORCID http://orcid.org/0000-0003-2879-6277
Nicoletta PotenzaDepartment of Environmental, Biological and Pharmaceutical Sciences and Technologies, University of Campania "Luigi Vanvitelli", Caserta, Italy. nicoletta.potenza@unicampania.it.ORCID http://orcid.org/0000-0002-9736-792X

Funding

Ministero dell'Università e della Ricerca CUP B63C22000600001Ministero dell'Università e della Ricerca Drugs based on RNA Technology"Ministero dell'Università e della Ricerca MUR CN00000041Ministero dell'Università e della Ricerca PNRR grant "National Centre for Gene Therapy
6 · The paper itself

Abstract

Osteosarcoma (OS) is the most prevalent and fatal type of bone tumor. It is characterized by great heterogeneity of genomic aberrations, mutated genes, and cell types contribution, making therapy and patients management particularly challenging. A unifying picture of molecular mechanisms underlying the disease could help to transform those challenges into opportunities.This review deeply explores the occurrence in OS of large-scale RNA regulatory networks, denominated "competing endogenous RNA network" (ceRNET), wherein different RNA biotypes, such as long non-coding RNAs, circular RNAs and mRNAs can functionally interact each other by competitively binding to shared microRNAs. Here, we discuss how the unbalancing of any network component can derail the entire circuit, driving OS onset and progression by impacting on cell proliferation, migration, invasion, tumor growth and metastasis, and even chemotherapeutic resistance, as distilled from many studies. Intriguingly, the aberrant expression of the networks components in OS cells can be triggered also by the surroundings, through cytokines and vesicles, with their bioactive cargo of proteins and non-coding RNAs, highlighting the relevance of tumor microenvironment. A comprehensive picture of RNA regulatory networks underlying OS could pave the way for the development of innovative RNA-targeted and RNA-based therapies and new diagnostic tools, also in the perspective of precision oncology.

Indexed as

OsteosarcomaBone NeoplasmsGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansMicroRNAsRNA, CircularRNA, Long NoncodingMicroRNAsRNA, CircularRNA, Long NoncodingceRNAceRNETNon-coding RNAOsteosarcomaTumor microenvironment

Identifiers

PMID38835012
PMCPMC11151680

What Socratic 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 Socratic graph.