Evidence map›Paper›PMID 38931401›Full record

ReviewPharmaceuticals (Basel, Switzerland)2024

Mariana Medeiros, Sophia Guenka, David Bastos, Karla Laissa Oliveira, María Sol Brassesco

Abstract readReview
In one paragraph

Review in Pharmaceuticals (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Mariana MedeirosCell Biology Department, Ribeirão Preto Medical School, University of São Paulo, Avenida Bandeirantes, 3900-Vila Monte Alegre, Ribeirão Preto 14040-900, São Paulo, Brazil.
Sophia GuenkaBiology Department, Faculty of Philosophy, Sciences and Letters at Ribeirão Preto, University of São Paulo, Avenida Bandeirantes, 3900-Vila Monte Alegre, Ribeirão Preto 14040-900, São Paulo, Brazil.
David BastosBiology Department, Faculty of Philosophy, Sciences and Letters at Ribeirão Preto, University of São Paulo, Avenida Bandeirantes, 3900-Vila Monte Alegre, Ribeirão Preto 14040-900, São Paulo, Brazil.
Karla Laissa OliveiraRegional Blood Center, University of São Paulo, Avenida Bandeirantes, 3900-Vila Monte Alegre, Ribeirão Preto 14051-140, São Paulo, Brazil.
María Sol BrassescoBiology Department, Faculty of Philosophy, Sciences and Letters at Ribeirão Preto, University of São Paulo, Avenida Bandeirantes, 3900-Vila Monte Alegre, Ribeirão Preto 14040-900, São Paulo, Brazil.ORCID 0000-0003-4447-784X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor heterogeneity poses a significant challenge in osteosarcoma (OS) treatment. In this regard, the "omics" era has constantly expanded our understanding of biomarkers and altered signaling pathways (i.e., PI3K/AKT/mTOR, WNT/β-catenin, NOTCH, SHH/GLI, among others) involved in OS pathophysiology. Despite different players and complexities, many commonalities have been described, among which the nuclear factor kappa B (NF-κB) stands out. Its altered activation is pervasive in cancer, with pleiotropic action on many disease-relevant traits. Thus, in the scope of this article, we highlight the evidence of NF-κB dysregulation in OS and its integration with other cancer-related pathways while we summarize the repertoire of compounds that have been described to interfere with its action. In silico strategies were used to demonstrate that NF-κB is closely coordinated with other commonly dysregulated signaling pathways not only by functionally interacting with several of their members but also by actively participating in the regulation of their transcription. While existing inhibitors lack selectivity or act indirectly, the therapeutic potential of targeting NF-κB is indisputable, first for its multifunctionality on most cancer hallmarks, and secondly, because, as a common downstream effector of the many dysregulated pathways influencing OS aggressiveness, it turns complex regulatory networks into a simpler picture underneath molecular heterogeneity.

Indexed as

common effectorheterogeneityNF-κBosteossarcomasignaling pathways

Identifiers

PMID38931401
PMCPMC11206879

What OpenQuestion 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 OpenQuestion graph.