Evidence map›Paper›PMID 34454106›Full record

ReviewThe Journal of molecular diagnostics : JMD2021

Molecular Testing in Breast Cancer: Current Status and Future Directions.

Lulu Sun, Ariel Wu, Gregory R Bean, Ian S Hagemann, Chieh-Yu Lin

Open access · bronzeAbstract readReview
In one paragraph

Review in The Journal of molecular diagnostics : JMD, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

15 citing papers in PubMed, 34 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Lulu SunDepartment of Pathology and Immunology, Washington University School of Medicine in St. Louis, St. Louis, Missouri.
Ariel WuDepartment of Pathology and Immunology, Washington University School of Medicine in St. Louis, St. Louis, Missouri.
Gregory R BeanDepartment of Pathology, Stanford University School of Medicine, Stanford, California.
Ian S HagemannDepartment of Pathology and Immunology, Washington University School of Medicine in St. Louis, St. Louis, Missouri.
Chieh-Yu LinDepartment of Pathology and Immunology, Washington University School of Medicine in St. Louis, St. Louis, Missouri. Electronic address: chieh-yu@wustl.edu.
Washington University in St. Louis · USStanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular testing in breast cancer is a rapidly developing field that is becoming increasingly integral to patient care. This article provides an overview of currently available molecular assays and testing modalities that have prognostic, predictive, and therapeutic value. These include multigene assays for invasive breast cancer (Oncotype DX, MammaPrint, Prosigna, and Breast Cancer Index) and ductal carcinoma in situ (Oncotype DX DCIS and DCISionRT) and companion tests to detect PIK3CA mutations and NTRK fusions. The various assays related to immune checkpoint inhibitors, consisting of immunohistochemistry with anti-programmed death-ligand 1 antibodies SP142 and 22C3 and detection of microsatellite instability, mismatch repair deficiency, and tumor mutational burden are also discussed. Finally, the practical utility and hopeful promise of next-generation sequencing panels and circulating tumor (cell-free) DNA assays are evaluated. This review should serve as a useful and practical reference for practicing pathologists, molecular pathologists, clinicians, and researchers.

Indexed as

Biomarkers, TumorBreast NeoplasmsCarcinoma, Intraductal, NoninfiltratingCirculating Tumor DNAFemaleGene Expression ProfilingHigh-Throughput Nucleotide SequencingHumansImmunohistochemistryIn Situ Hybridization, FluorescenceMolecular Diagnostic TechniquesPrognosisTranscriptomeBiomarkers, TumorCirculating Tumor DNA

Identifiers

PMID34454106
PMCPMC12179506
OpenAlexW3194866336

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.