Evidence map›Paper›PMID 32484602›Full record

ArticleMolecular oncology2020

Transcriptional profiling reveals a subset of human breast tumors that retain wt TP53 but display mutant p53-associated features.

Gal Benor, Garold Fuks, Suet-Feung Chin, Oscar M Rueda, Saptaparna Mukherjee, Sharathchandra Arandkar, Yael Aylon, Carlos Caldas, Eytan Domany, Moshe Oren

Open access · goldAbstract read
In one paragraph

Article in Molecular oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

10 citing papers in PubMed, 9 citations in OpenAlex.

  1. Combinatorial chemistry & high throughput screening · 2026
    Article
  2. Article
  3. Article
  4. Review
  5. p53 deficient breast cancer cells reprogram preadipocytes toward tumor-protective immunomodulatory cells.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Mutant p53 in cell-cell interactions.Genes & development · 2021
    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

10 authors at 3 institutions in 3 countries.

Gal BenorDepartment of Physics of Complex Systems, The Weizmann Institute of Science, Rehovot, Israel.
Garold FuksDepartment of Physics of Complex Systems, The Weizmann Institute of Science, Rehovot, Israel.
Suet-Feung ChinCancer Research UK Cambridge Institute and Department of Oncology, Li Ka Shing Centre, University of Cambridge, Cambridge, UK.
Oscar M RuedaCancer Research UK Cambridge Institute and Department of Oncology, Li Ka Shing Centre, University of Cambridge, Cambridge, UK.
Saptaparna MukherjeeDepartment of Molecular Cell Biology, The Weizmann Institute of Science, Rehovot, Israel.
Sharathchandra ArandkarDepartment of Molecular Cell Biology, The Weizmann Institute of Science, Rehovot, Israel.
Yael AylonDepartment of Molecular Cell Biology, The Weizmann Institute of Science, Rehovot, Israel.
Carlos CaldasCancer Research UK Cambridge Institute and Department of Oncology, Li Ka Shing Centre, University of Cambridge, Cambridge, UK.
Eytan DomanyDepartment of Physics of Complex Systems, The Weizmann Institute of Science, Rehovot, Israel.
Moshe OrenDepartment of Molecular Cell Biology, The Weizmann Institute of Science, Rehovot, Israel.ORCID 0000-0003-4311-7172
Weizmann Institute of Science · ILUniversity of Cambridge · GBTata Memorial Hospital · IN

Funding

Cancer Research UK 29567
6 · The paper itself

Abstract

TP53 gene mutations are very common in human cancer. While such mutations abrogate the tumor suppressive activities of the wild-type (wt) p53 protein, some of them also endow the mutant (mut) protein with oncogenic gain of function (GOF), facilitating cancer progression. Yet, p53 may acquire altered functionality even without being mutated; in particular, experiments with cultured cells revealed that wtp53 can be rewired to adopt mut-like features in response to growth factors or cancer-mimicking genetic manipulations. To assess whether such rewiring also occurs in human tumors, we interrogated gene expression profiles and pathway deregulation patterns in the METABRIC breast cancer (BC) dataset as a function of TP53 gene mutation status. Harnessing the power of machine learning, we optimized a gene expression classifier for ER+Her2- patients that distinguishes tumors carrying TP53 mutations from those retaining wt TP53. Interestingly, a small subset of wt TP53 tumors displayed gene expression and pathway deregulation patterns markedly similar to those of TP53-mutated tumors. Moreover, similar to TP53-mutated tumors, these 'pseudomutant' cases displayed a signature for enhanced proliferation and had worse prognosis than typical wtp53 tumors. Notably, these tumors revealed upregulation of genes which, in BC cell lines, were reported to be positively regulated by p53 GOF mutants. Thus, such tumors may benefit from mut p53-associated activities without having to accrue TP53 mutations.

Indexed as

Gene Expression ProfilingGene Expression Regulation, NeoplasticBreast NeoplasmsErb-b2 Receptor Tyrosine KinasesFemaleHumansKi-67 AntigenMutant ProteinsMutationReceptors, EstrogenTumor Suppressor Protein p53ERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesKi-67 AntigenMKI67 protein, humanMutant ProteinsReceptors, EstrogenTumor Suppressor Protein p53breast cancermachine learningMETABRICp53 gain of functionpseudomutant p53

Identifiers

PMID32484602
PMCPMC7400784
OpenAlexW3030970143

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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.