Evidence map›Paper›PMID 26221189›Full record

ReviewGenome medicine2015

Next-generation sequencing to guide cancer therapy.

Jeffrey Gagan, Eliezer M Van Allen

Open access · goldAbstract readReview
In one paragraph

Review in Genome medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 159 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
159citing papers in PubMed, 3 pooled it
13.9field-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

159 citing papers in PubMed, 3 syntheses or guidelines pooled it, 293 citations in OpenAlex.

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  18. Effects of ultrasonic rapid processing method on the protein, DNA, and RNA in paraffin-embedded tissues.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2025
    Article
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99 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

2 authors at 2 institutions in 1 country.

Jeffrey GaganDepartment of Pathology, Brigham and Women's Hospital, Boston, MA 02115 USA.
Eliezer M Van AllenDepartment of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA 02115 USA ; Broad Institute of MIT and Harvard, Cambridge, MA 02142 USA.
Brigham and Women's Hospital · USDana-Farber Cancer Institute · US

Funding

Resistance to Emerging Androgen Deprivation Therapies in Prostate CancerK08CA188615 · NCI · DANA-FARBER CANCER INST · PI VAN ALLEN, ELIEZER M · 2014 to 2017
$708k
NCI NIH HHS K08 CA188615
6 · The paper itself

Abstract

As a result of multiple technological and practical advances, high-throughput sequencing, known more commonly as "next-generation" sequencing (NGS), can now be incorporated into standard clinical practice. Whereas early protocols relied on samples that were harvested outside of typical clinical pathology workflows, standard formalin-fixed, paraffin-embedded specimens can more regularly be used as starting materials for NGS. Furthermore, protocols for the analysis and interpretation of NGS data, as well as knowledge bases, are being amassed, allowing clinicians to act more easily on genomic information at the point of care for patients. In parallel, new therapies that target somatically mutated genes identified through clinical NGS are gaining US Food and Drug Administration (FDA) approval, and novel clinical trial designs are emerging in which genetic identifiers are given equal weight to histology. For clinical oncology providers, understanding the potential and the limitations of DNA sequencing will be crucial for providing genomically driven care in this era of precision medicine.

Identifiers

PMID26221189
PMCPMC4517547
OpenAlexW2127832858

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.