Evidence map›Paper›PMID 34572908›Full record

ReviewCancers2021

Targeting the p53 Pathway in CLL: State of the Art and Future Perspectives.

Marwan Kwok, Angelo Agathanggelou, Nicholas Davies, Tatjana Stankovic

Erratum issuedOpen access · goldAbstract readReview
In one paragraph

Review in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.2field-weighted citation impact, top 11% of its field
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

11 citing papers in PubMed, 20 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Marwan KwokInstitute of Cancer and Genomic Sciences, University of Birmingham, Birmingham B15 2SY, UK.ORCID 0000-0002-3985-5079
Angelo AgathanggelouInstitute of Cancer and Genomic Sciences, University of Birmingham, Birmingham B15 2SY, UK.
Nicholas DaviesInstitute of Cancer and Genomic Sciences, University of Birmingham, Birmingham B15 2SY, UK.
Tatjana StankovicInstitute of Cancer and Genomic Sciences, University of Birmingham, Birmingham B15 2SY, UK.
University of Birmingham · GBQueen Elizabeth Hospital Birmingham · GB

Funding

Cancer Research UK 20951Cancer Research UK 28640Cancer Research UK C20807/A2864
6 · The paper itself

Abstract

The p53 pathway is a desirable therapeutic target, owing to its critical role in the maintenance of genome integrity. This is exemplified in chronic lymphocytic leukemia (CLL), one of the most common adult hematologic malignancies, in which functional loss of p53 arising from genomic aberrations are frequently associated with clonal evolution, disease progression, and therapeutic resistance, even in the contemporary era of CLL targeted therapy and immunotherapy. Targeting the 'undruggable' p53 pathway therefore arguably represents the holy grail of cancer research. In recent years, several strategies have been proposed to exploit p53 pathway defects for cancer treatment. Such strategies include upregulating wild-type p53, restoring tumor suppressive function in mutant p53, inducing synthetic lethality by targeting collateral genome maintenance pathways, and harnessing the immunogenicity of p53 pathway aberrations. In this review, we will examine the biological and clinical implications of p53 pathway defects, as well as our progress towards development of therapeutic approaches targeting the p53 pathway, specifically within the context of CLL. We will appraise the opportunities and pitfalls associated with these therapeutic strategies, and evaluate their place amongst the array of new biological therapies for CLL.

Indexed as

ATMATRCDKDNA-PKimmunityMDM2p53PARPsynthetic lethalityUSP7

Identifiers

PMID34572908
PMCPMC8468925
OpenAlexW3198962835

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.