Evidence map›Paper›PMID 39519020›Full record

ReviewInternational journal of molecular sciences2024

NF-κB in Thyroid Cancer: An Update.

Elvira Crescenzi, Antonio Leonardi, Francesco Pacifico

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. FAM19A5 is an independent prognostic biomarker in thyroid cancer.American journal of translational research · 2026
    Article
  8. Review
  9. Review
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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

3 authors.

Elvira CrescenziIstituto per l'Endocrinologia e l'Oncologia Sperimentale, Consiglio Nazionale delle Ricerche (CNR), Via S. Pansini, 5, 80131 Naples, Italy.ORCID 0000-0002-9258-8053
Antonio LeonardiDipartimento di Medicina Molecolare e Biotecnologie Mediche, University of Naples Federico II, Via S. Pansini, 5, 80131 Naples, Italy.ORCID 0000-0001-8636-9623
Francesco PacificoIstituto per l'Endocrinologia e l'Oncologia Sperimentale, Consiglio Nazionale delle Ricerche (CNR), Via S. Pansini, 5, 80131 Naples, Italy.ORCID 0000-0001-9563-3596

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The dysregulated NF-κB basal activity is a common feature of human thyroid carcinomas, especially in poorly differentiated or undifferentiated forms that, even if rare, are often resistant to standard therapies, and, therefore, are uncurable. Despite the molecular mechanisms leading to NF-κB activation in thyroid cancer being only partially understood, during the last few years, it has become clear that NF-κB contributes in different ways to the oncogenic potential of thyroid neoplastic cells. Indeed, it enhances their proliferation and viability, promotes their migration to and colonization of distant organs, and fuels their microenvironment. In addition, NF-κB signaling plays an important role in cancer stem cells from more aggressive thyroid carcinomas. Interfering with the different upstream and/or downstream pathways that drive NF-κB activity in thyroid neoplastic cells is an attractive strategy for the development of novel therapeutic drugs capable of overcoming the therapy resistance of advanced thyroid carcinomas. This review focuses on the recent findings about the key functions of NF-κB in thyroid cancer and discusses the potential implications of targeting NF-κB in advanced thyroid carcinomas.

Indexed as

NF-kappa BSignal TransductionThyroid NeoplasmsAnimalsGene Expression Regulation, NeoplasticHumansNeoplastic Stem CellsTumor MicroenvironmentNF-kappa BNF-κBtarget genesthyroid cancer

Identifiers

PMID39519020
PMCPMC11546487

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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 OpenQuestion graph.