Evidence map›Paper›PMID 22143140›Full record

ReviewNature reviews. Clinical oncology2011

Practical implications of gene-expression-based assays for breast oncologists.

Aleix Prat, Matthew J Ellis, Charles M Perou

Abstract readReview
In one paragraph

Review in Nature reviews. Clinical oncology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 163 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
163citing papers in PubMed, 4 pooled it
9.3field-weighted citation impact, top 2% 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

163 citing papers in PubMed, 4 syntheses or guidelines pooled it, 298 citations in OpenAlex.

  1. Pooled it
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  8. A PAM50-Based Chemoendocrine Score for Hormone Receptor-Positive Breast Cancer with an Intermediate Risk of Relapse.Clinical cancer research : an official journal of the American Association for Cancer Research · 2017
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  16. Precision Oncology 2.0: Guiding Magic Bullets With Expression-Based Liquid Biopsy.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2026
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  17. Associations of the HER2DX Genomic Test with Biological and Pathologic Features in HER2-Positive Breast Cancer.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
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103 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

3 authors at 2 institutions in 1 country.

Aleix PratDepartment of Genetics and Pathology, Lineberger Comprehensive Cancer Center, University of North Carolina, 450 West Drive, Chapel Hill, NC 27599, USA.
Matthew J Ellis
Charles M Perou
UNC Lineberger Comprehensive Cancer CenterWashington University in St. Louis · US

Funding

Tissue Procurement & PathologyP50CA058223 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI CHARLES M PEROU · 1992 to 2026
$59.3M
UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Stephanie Engel · 2001 to 2026
$36.3M
Conserved Biology of Tumor and Microenvironment in Breast Cancer ProgressionR01CA138255 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI PEROU, CHARLES M, TROESTER, MELISSA A. · 2008 to 2012
$2.4M
NCI NIH HHS P50 CA058223NCI NIH HHS P50-CA58223‑09A1NCI NIH HHS R01 CA138255NCI NIH HHS R01-CA138255NIEHS NIH HHS P30 ES010126
6 · The paper itself

Abstract

Gene-expression profiling has had a considerable impact on our understanding of breast cancer biology, and more recently on clinical care. Two statistical approaches underlie these advancements. Supervised analyses have led to the development of gene-expression signatures designed to predict survival and/or treatment response, which has resulted in the development of new clinical assays. Unsupervised analyses have identified numerous biological signatures including signatures of cell type of origin, signaling pathways, and of cellular proliferation. Included within these biological signatures are the molecular subtypes known as the 'intrinsic' subtypes of breast cancer. This classification has expanded our appreciation of the heterogeneity of breast cancer and has provided a way to sub-classify the disease in a manner that might have clinical utility. In this Review, we discuss the clinical utility of gene-expression-based assays and their technical potential as clinical tools vis-a-vis the performance of breast cancer biomarkers that are the current standard of care.

Indexed as

Biomarkers, TumorBreast NeoplasmsFemaleGene Expression ProfilingGenes, erbB-2Health Status IndicatorsHumansMedical OncologyMicroarray AnalysisReceptors, EstrogenReceptors, ProgesteroneUnited StatesBiomarkers, TumorReceptors, EstrogenReceptors, Progesterone

Identifiers

PMID22143140
PMCPMC3703639
OpenAlexW1990371044

What OpenQuestion holds

Textmetadata
LicenceTDM
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.