Evidence map›Paper›PMID 30643191›Full record

ArticleOncogene2019

Cancer therapeutic targeting using mutant-p53-specific siRNAs.

Ifeoma Ubby, Christian Krueger, Roberto Rosato, Wei Qian, Jenny Chang, Kanaga Sabapathy

Abstract read
In one paragraph

Article in Oncogene, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Review
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  4. Mutant p53 regulates reversible subtype plasticity in pancreatic cancer.Cellular and molecular life sciences : CMLS · 2025
    Article
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  6. Article
  7. Article
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  12. Advancements inMolecules (Basel, Switzerland) · 2024
    Review
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  17. Article
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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

6 authors.

Ifeoma UbbyDivision of Cellular & Molecular Research, Humphrey Oei Institute of Cancer Research, National Cancer Centre Singapore, Singapore, 169610, Singapore.
Christian KruegerDivision of Cellular & Molecular Research, Humphrey Oei Institute of Cancer Research, National Cancer Centre Singapore, Singapore, 169610, Singapore.
Roberto RosatoHouston Methodist Cancer Center, 6445 Main St, Houston, TX, 77030, USA.
Wei QianHouston Methodist Cancer Center, 6445 Main St, Houston, TX, 77030, USA.
Jenny ChangHouston Methodist Cancer Center, 6445 Main St, Houston, TX, 77030, USA.
Kanaga SabapathyDivision of Cellular & Molecular Research, Humphrey Oei Institute of Cancer Research, National Cancer Centre Singapore, Singapore, 169610, Singapore. cmrksb@nccs.com.sg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mutations in Tp53 compromise therapeutic response, due either to the dominant-negative effect over the functional wild-type allele; or as a result of the survival advantage conferred by mutant p53 to which cancer cells become addicted. Thus, targeting mutant p53 represents an effective therapeutic strategy to treat over half of all cancers. We have therefore generated a series of small-interfering-RNAs, capable of targeting four p53 hot-spot mutants which represent ~20% of all p53 mutations. These mutant-p53-specific siRNAs (MupSi) are highly specific in silencing the expression of the intended mutants without affecting wild-type p53. Functionally, these MupSis induce cell death by abrogating both the addiction to mutant p53 and the dominant-negative effect; and retard tumor growth in xenografts when administered in a therapeutic setting. These data together demonstrate the possibility of targeting mutant p53 specifically to improve clinical outcome.

Indexed as

AllelesAnimalsCell DeathCell ProliferationHumansMiceMice, SCIDMutationRNA, Small InterferingTumor Suppressor Protein p53RNA, Small InterferingTP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID30643191
PMCPMC6756012

What OpenQuestion holds

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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.