Evidence map›Paper›PMID 16141321›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2005

An expression signature for p53 status in human breast cancer predicts mutation status, transcriptional effects, and patient survival.

Lance D Miller, Johanna Smeds, Joshy George, Vinsensius B Vega, Liza Vergara, Alexander Ploner, Yudi Pawitan, Per Hall, Sigrid Klaar, Edison T Liu and 1 more

Erratum issuedOpen access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2005. 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 686 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
686citing papers in PubMed, 2 pooled it
28.9field-weighted citation impact, top 1% 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

686 citing papers in PubMed, 2 syntheses or guidelines pooled it, 1,285 citations in OpenAlex.

  1. Pooled it
  2. Association of theDisease markers · 2016
    Pooled it
  3. Trial
  4. Trial
  5. Article
  6. The p53 Isoforms as Potential Biomarkers in Different Cancer Entities.International journal of molecular sciences · 2026
    Review
  7. Postpartum breast cancer: evidence for a distinct phenotype.Journal of the National Cancer Institute · 2026
    Article
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  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
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  19. Review
  20. Article

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

4 · The record

Corrections and comments

  • Erratum issued
5 · Who and what money

Authors and funding

11 authors at 2 institutions in 2 countries.

Lance D MillerGenome Institute of Singapore, 60 Biopolis Street, Singapore 138672. millerl@gis.a-star.edu.sg
Johanna Smeds
Joshy George
Vinsensius B Vega
Liza Vergara
Alexander Ploner
Yudi Pawitan
Per Hall
Sigrid Klaar
Edison T Liu
Jonas Bergh
Genome Institute of Singapore · SGKarolinska Institutet · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Perturbations of the p53 pathway are associated with more aggressive and therapeutically refractory tumors. However, molecular assessment of p53 status, by using sequence analysis and immunohistochemistry, are incomplete assessors of p53 functional effects. We posited that the transcriptional fingerprint is a more definitive downstream indicator of p53 function. Herein, we analyzed transcript profiles of 251 p53-sequenced primary breast tumors and identified a clinically embedded 32-gene expression signature that distinguishes p53-mutant and wild-type tumors of different histologies and outperforms sequence-based assessments of p53 in predicting prognosis and therapeutic response. Moreover, the p53 signature identified a subset of aggressive tumors absent of sequence mutations in p53 yet exhibiting expression characteristics consistent with p53 deficiency because of attenuated p53 transcript levels. Our results show the primary importance of p53 functional status in predicting clinical breast cancer behavior.

Indexed as

Gene Expression ProfilingGene Expression Regulation, NeoplasticMutationTranscription, GeneticBreast NeoplasmsFemaleHumansOligonucleotide Array Sequence AnalysisPredictive Value of TestsPrognosisTumor Suppressor Protein p53Tumor Suppressor Protein p53

Identifiers

PMID16141321
PMCPMC1197273
OpenAlexW1607267312

What OpenQuestion holds

Textmetadata
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.