Evidence map›Paper›PMID 28561071›Full record

ReviewNature reviews. Clinical oncology2017

Clinical utility of gene-expression signatures in early stage breast cancer.

Maryann Kwa, Andreas Makris, Francisco J Esteva

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Clinical oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 141 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
141citing papers in PubMed, 2 pooled it
8.6field-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

141 citing papers in PubMed, 2 syntheses or guidelines pooled it, 233 citations in OpenAlex.

  1. Pooled it
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  5. Review
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  11. ELOVL5 Regulates Ferroptosis in Breast Cancer Cells.Doklady. Biochemistry and biophysics · 2025
    Article
  12. Cancers · 2025
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81 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 2 countries.

Maryann KwaDivision of Hematology/Oncology, Perlmutter Cancer Center, New York University Langone Medical Center, 160 East 34th Street, New York, New York 10016, USA.
Andreas MakrisBreast Cancer Research Unit, Mount Vernon Cancer Centre, Rickmansworth Road, Northwood, Middlesex HA6 2RN, UK.
Francisco J EstevaDivision of Hematology/Oncology, Perlmutter Cancer Center, New York University Langone Medical Center, 160 East 34th Street, New York, New York 10016, USA.
NYU Langone Health · USMount Vernon Cancer Centre · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breast cancer is a heterogeneous disease, with different subtypes having a distinct biological, molecular, and clinical course. Assessments of standard clinical and pathological features have traditionally been used to determine the use of adjuvant systemic therapy in patients with early stage breast cancer; however, the ability to identify those who will benefit from adjuvant chemotherapy remains a challenge, leading to the overtreatment of some patients. Advances in molecular medicine have substantially improved the accuracy of gene-expression profiling of breast tumours, resulting in improvements in the ability to predict a patient's risk of breast cancer recurrence and likely response to endocrine therapy and/or chemotherapy. These genomic assays, several of which are commercially available, have aided physicians in tailoring treatment decisions for patients at the individual level. Herein, we describe the available data on the clinical validity of the most widely available assays in patients with early stage breast cancer, with a focus on the development, validation, and clinical application of these assays, in addition to the anticipated outcomes of ongoing prospective trials. We also review data from comparative studies of these assays and from cost-effectiveness analyses relating to their clinical use.

Indexed as

TranscriptomeBiomarkers, TumorBreast NeoplasmsFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansNeoplasm StagingPredictive Value of TestsPrognosisBiomarkers, Tumor

Identifiers

PMID28561071
OpenAlexW2617077704

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.