Evidence map›Paper›PMID 24349199›Full record

ArticlePloS one2013

A prognostic gene signature for metastasis-free survival of triple negative breast cancer patients.

Unjin Lee, Casey Frankenberger, Jieun Yun, Elena Bevilacqua, Carlos Caldas, Suet-Feung Chin, Oscar M Rueda, John Reinitz, Marsha Rich Rosner

Abstract read
In one paragraph

Article in PloS one, 2013. 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.

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  12. The Nuclear Translocation of Heme Oxygenase-1 in Human Diseases.Frontiers in cell and developmental biology · 2022
    Review
  13. Article
  14. Review
  15. Article
  16. Oxidative Stress in Cancer.Cancer cell · 2020
    Review
  17. Article
  18. Article
  19. Article
  20. Article
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

9 authors.

Unjin LeeBen May Department for Cancer Research, University of Chicago, Chicago, Illinois, United States of America.
Casey FrankenbergerBen May Department for Cancer Research, University of Chicago, Chicago, Illinois, United States of America.
Jieun YunBen May Department for Cancer Research, University of Chicago, Chicago, Illinois, United States of America.
Elena BevilacquaBen May Department for Cancer Research, University of Chicago, Chicago, Illinois, United States of America.
Carlos CaldasDepartment of Oncology, University of Cambridge, Cambridge, United Kingdom.
Suet-Feung ChinDepartment of Oncology, University of Cambridge, Cambridge, United Kingdom.
Oscar M RuedaDepartment of Oncology, University of Cambridge, Cambridge, United Kingdom.
John ReinitzDepartments of Statistics, Ecology and Evolution, Molecular Genetics and Cell Biology, University of Chicago, Chicago, Illinois, United States of America.
Marsha Rich RosnerBen May Department for Cancer Research, University of Chicago, Chicago, Illinois, United States of America.

Funding

Signaling Pathways in Neuronal CellsR01GM087630 · NIGMS · UNIVERSITY OF CHICAGO · PI ROSNER, MARSHA R · 2009 to 2013
$1.8M
Cancer Research UK 16942NIGMS NIH HHS GM 87630NIGMS NIH HHS R01 GM087630
6 · The paper itself

Abstract

Although triple negative breast cancers (TNBC) are the most aggressive subtype of breast cancer, they currently lack targeted therapies. Because this classification still includes a heterogeneous collection of tumors, new tools to classify TNBCs are urgently required in order to improve our prognostic capability for high risk patients and predict response to therapy. We previously defined a gene expression signature, RKIP Pathway Metastasis Signature (RPMS), based upon a metastasis-suppressive signaling pathway initiated by Raf Kinase Inhibitory Protein (RKIP). We have now generated a new BACH1 Pathway Metastasis gene signature (BPMS) that utilizes targets of the metastasis regulator BACH1. Specifically, we substituted experimentally validated target genes to generate a new BACH1 metagene, developed an approach to optimize patient tumor stratification, and reduced the number of signature genes to 30. The BPMS significantly and selectively stratified metastasis-free survival in basal-like and, in particular, TNBC patients. In addition, the BPMS further stratified patients identified as having a good or poor prognosis by other signatures including the Mammaprint® and Oncotype® clinical tests. The BPMS is thus complementary to existing signatures and is a prognostic tool for high risk ER-HER2- patients. We also demonstrate the potential clinical applicability of the BPMS as a single sample predictor. Together, these results reveal the potential of this pathway-based BPMS gene signature to identify high risk TNBC patients that can respond effectively to targeted therapy, and highlight BPMS genes as novel drug targets for therapeutic development.

Indexed as

TranscriptomeBasic-Leucine Zipper Transcription FactorsCell Line, TumorCohort StudiesDisease-Free SurvivalFanconi Anemia Complementation Group ProteinsFemaleGene Expression Regulation, NeoplasticHumansMicroRNAsNeoplasm MetastasisNeoplasm Recurrence, LocalOligonucleotide Array Sequence AnalysisPhosphatidylethanolamine Binding ProteinPrognosisReproducibility of ResultsBACH1 protein, humanBasic-Leucine Zipper Transcription FactorsFanconi Anemia Complementation Group ProteinsMicroRNAsmirnlet7 microRNA, humanPEBP1 protein, humanPhosphatidylethanolamine Binding Protein

Identifiers

PMID24349199
PMCPMC3859562

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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.