Evidence map›Paper›PMID 27034010›Full record

ArticleOncotarget2016

Molecular classification of cancer with the 92-gene assay in cytology and limited tissue samples.

Elena F Brachtel, Theresa N Operaña, Peggy S Sullivan, Sarah E Kerr, Karen A Cherkis, Brock E Schroeder, Sarah M Dry, Catherine A Schnabel

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
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  4. Prognostic Importance of Cell Cycle Regulators Cyclin D1 (Gastroenterology research and practice · 2016
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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

8 authors at 4 institutions in 1 country.

Elena F BrachtelDepartment of Pathology, Massachusetts General Hospital, Boston, Massachusetts, USA.
Theresa N OperañaBiotheranostics, Inc., San Diego, California, USA.
Peggy S SullivanDepartment of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA.
Sarah E KerrDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA.
Karen A CherkisBiotheranostics, Inc., San Diego, California, USA.
Brock E SchroederBiotheranostics, Inc., San Diego, California, USA.
Sarah M DryDepartment of Pathology and Laboratory Medicine, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA.
Catherine A SchnabelBiotheranostics, Inc., San Diego, California, USA.
Biothera (United States) · USUniversity of California, Los Angeles · USMassachusetts General Hospital · USMayo Clinic · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDetailed molecular evaluation of cytology and limited tissue samples is increasingly becoming the standard for cancer care. Reproducible and accurate diagnostic approaches with reduced demands on cellularity are an ongoing unmet need. This study evaluated the performance of a 92-gene assay for molecular diagnosis of tumor type/subtype in cytology and limited tissue samples.

methodsClinical validation of accuracy for the 92-gene assay in limited tissue samples such as cytology cell blocks, core biopsies and small excisions was conducted in a blinded multi-institutional study (N = 109, 48% metastatic, 53% grade II and III). Analytical success rate and diagnostic utility were evaluated in a consecutive series of 644 cytology cases submitted for clinical testing.

resultsThe 92-gene assay demonstrated 91% sensitivity (95% CI [0.84, 0.95]) for tumor classification, with high accuracy maintained irrespective of specimen type (100%, 92%, and 86% in FNA/cytology cell blocks, core biopsies, and small excisions, respectively; p = 0.26). The assay performed equally well for metastatic versus primary tumors (90% vs 93%, p = 0.73), and across histologic grades (100%, 90%, 89%, in grades I, II, and III, respectively; p = 0.75). In the clinical case series, a molecular diagnosis was reported in 87% of the 644 samples, identifying 23 different tumor types and allowing for additional mutational analysis in selected cases.

conclusionsThese findings demonstrate high accuracy and analytical success rate of the 92-gene assay, supporting its utility in the molecular diagnosis of cancer for specimens with limited tissue.

Indexed as

Gene Expression Regulation, NeoplasticBiomarkers, TumorCohort StudiesCytodiagnosisDNA Mutational AnalysisFemaleGene Expression ProfilingGenetic Predisposition to DiseaseHumansMaleMutationNeoplasmsReproducibility of ResultsSensitivity and SpecificityBiomarkers, Tumorbiological markersclinical oncologycytologygene expression profilingmolecular targeted therapy

Identifiers

PMID27034010
PMCPMC5053644
OpenAlexW2319690203

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.