Evidence map›Paper›PMID 22872785›Full record

ArticleCancer informatics2012

TNBCtype: A Subtyping Tool for Triple-Negative Breast Cancer.

Xi Chen, Jiang Li, William H Gray, Brian D Lehmann, Joshua A Bauer, Yu Shyr, Jennifer A Pietenpol

Abstract readCase Reports
In one paragraph

Article in Cancer informatics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 183 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
183citing papers in PubMed, 3 pooled it
–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

183 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  3. The Role of Proliferation in Determining Response to Neoadjuvant Chemotherapy in Breast Cancer: A Gene Expression-Based Meta-Analysis.Clinical cancer research : an official journal of the American Association for Cancer Research · 2016
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  7. The Immune-Related 27-Gene Signature DetermaIO Predicts Response to Neoadjuvant Atezolizumab plus Chemotherapy in Triple-Negative Breast Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2024
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  14. TBCRC 032 IB/II Multicenter Study: Molecular Insights to AR Antagonist and PI3K Inhibitor Efficacy in Patients with ARClinical cancer research : an official journal of the American Association for Cancer Research · 2020
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123 more citing papers are in PubMed but not listed here.

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

7 authors.

Xi ChenDepartment of Biostatistics, Vanderbilt University, Nashville, TN 37232.
Jiang Li
William H Gray
Brian D Lehmann
Joshua A Bauer
Yu Shyr
Jennifer A Pietenpol

Funding

Tumor Immunology and Microenvironment Research ProgramP30CA068485 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MATTHEW J TYSKA · 1995 to 2026
$172.8M
The Vanderbilt Molecular Target Discovery and Development CenterRC2CA148375 · NCI · VANDERBILT UNIVERSITY · PI MARNETT, LAWRENCE J. · 2009 to 2010
$4.7M
VIRUSES, NUCLEIC ACIDS, GROWTH, AND CANCERT32CA009385 · NCI · VANDERBILT UNIVERSITY · PI RULEY, HENRY EARL · 1985 to 2007
$4.1M
P53 SIGNALING AND CELLULAR RESPONSE AFTER STRESSR01CA070856 · NCI · VANDERBILT UNIVERSITY · PI PIETENPOL, JENNIFER A · 1997 to 2010
$3.8M
p63 Signaling in Epithelial Cell Growth and CancerR01CA105436 · NCI · VANDERBILT UNIVERSITY · PI PIETENPOL, JENNIFER A · 2004 to 2014
$3.1M
NCI NIH HHS P30 CA068485NCI NIH HHS R01 CA070856NCI NIH HHS R01 CA105436NCI NIH HHS RC2 CA148375NCI NIH HHS T32 CA009385
6 · The paper itself

Abstract

motivationTriple-negative breast cancer (TNBC) is a heterogeneous breast cancer group, and identification of molecular subtypes is essential for understanding the biological characteristics and clinical behaviors of TNBC as well as for developing personalized treatments. Based on 3,247 gene expression profiles from 21 breast cancer data sets, we discovered six TNBC subtypes from 587 TNBC samples with unique gene expression patterns and ontologies. Cell line models representing each of the TNBC subtypes also displayed different sensitivities to targeted therapeutic agents. Classification of TNBC into subtypes will advance further genomic research and clinical applications.

resultWe developed a web-based subtyping tool TNBCtype for candidate TNBC samples using our gene expression meta data and classification methods. Given a gene expression data matrix, this tool will display for each candidate sample the predicted subtype, the corresponding correlation coefficient, and the permutation P-value. We offer a user-friendly web interface to predict the subtypes for new TNBC samples that may facilitate diagnostics, biomarker selection, drug discovery, and the more tailored treatment of breast cancer.

Indexed as

classificationgene expression microarraymeta-analysissubtypestriple-negative breast cancer

Identifiers

PMID22872785
PMCPMC3412597

What OpenQuestion holds

Textmetadata
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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.