Evidence map›Paper›PMID 24419302›Full record

ReviewCellular and molecular life sciences : CMLS2014

NF-κB pathways in hematological malignancies.

Chiara Gasparini, Claudio Celeghini, Lorenzo Monasta, Giorgio Zauli

Abstract readReview
In one paragraph

Review in Cellular and molecular life sciences : CMLS, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 98 papers.

0numbers the graph read from it
0cells of the map it votes in
98citing 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

98 citing papers in PubMed.

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38 more citing papers are in PubMed but not listed here.

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

4 authors.

Chiara GaspariniInstitute for Maternal and Child Health-IRCCS "Burlo Garofolo", Via dell'Istria 65/1, 34137, Trieste, Italy, chiara.gasparini@burlo.trieste.it.
Claudio Celeghini
Lorenzo Monasta
Giorgio Zauli

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The nuclear factor κB or NF-κB transcription factor family plays a key role in several cellular functions, i.e. inflammation, apoptosis, cell survival, proliferation, angiogenesis, and innate and acquired immunity. The constitutive activation of NF-κB is typical of most malignancies and plays a major role in tumorigenesis. In this review, we describe NF-κB and its two pathways: the canonical pathway (RelA/p50) and the non-canonical pathway (RelB/p50 or RelB/p52). We then consider the role of the NF-κB subunits in the development and functional activity of B cells, T cells, macrophages and dendritic cells, which are the targets of hematological malignancies. The relevance of the two pathways is described in normal B and T cells and in hematological malignancies, acute and chronic leukemias (ALL, AML, CLL, CML), B lymphomas (DLBCLs, Hodgkin's lymphoma), T lymphomas (ATLL, ALCL) and multiple myeloma. We describe the interaction of NF-κB with the apoptotic pathways induced by TRAIL and the transcription factor p53. Finally, we discuss therapeutic anti-tumoral approaches as mono-therapies or combination therapies aimed to block NF-κB activity and to induce apoptosis (PARAs and Nutlin-3).

Indexed as

Gene Expression Regulation, NeoplasticSignal TransductionAntineoplastic AgentsB-LymphocytesCarcinogenesisDendritic CellsHematologic NeoplasmsHumansImidazolesMacrophagesNF-kappa BPiperazinesT-LymphocytesTNF-Related Apoptosis-Inducing LigandTranscription Factor RelATranscription Factor RelBAntineoplastic AgentsImidazolesNF-kappa Bnutlin 3PiperazinesRELA protein, humanRELB protein, humanTNF-Related Apoptosis-Inducing LigandTNFSF10 protein, humanTranscription Factor RelATranscription Factor RelBTumor Suppressor Protein p53

Identifiers

PMID24419302
PMCPMC11113378

What OpenQuestion holds

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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.