Evidence map›Paper›PMID 27084556›Full record

ArticleMolecular diagnosis & therapy2016

Mutation Yield of a 34-Gene Solid Tumor Panel in Community-Based Tumor Samples.

Heather Sanders, Kevin Qu, Hairong Li, Lin Ma, Cindy Barlan, Xi Zhang, James Prentice, David Wolfson, Beryl Crossley, Anthony Sferruzza and 6 more

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular diagnosis & therapy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 43% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Review
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

16 authors at 1 institution in 1 country.

Heather SandersDepartment of Hematology and Oncology, Quest Diagnostics Nichols Institute, 33608 Ortega Highway, San Juan Capistrano, CA, 92675, USA. heather.r.sanders@questdiagnostics.com.
Kevin QuDepartment of Hematology and Oncology, Quest Diagnostics Nichols Institute, 33608 Ortega Highway, San Juan Capistrano, CA, 92675, USA.
Hairong LiDepartment of Hematology and Oncology, Quest Diagnostics Nichols Institute, 33608 Ortega Highway, San Juan Capistrano, CA, 92675, USA.
Lin MaDepartment of Hematology and Oncology, Quest Diagnostics Nichols Institute, 33608 Ortega Highway, San Juan Capistrano, CA, 92675, USA.
Cindy BarlanDepartment of Hematology and Oncology, Quest Diagnostics Nichols Institute, 33608 Ortega Highway, San Juan Capistrano, CA, 92675, USA.
Xi ZhangDepartment of Hematology and Oncology, Quest Diagnostics Nichols Institute, 33608 Ortega Highway, San Juan Capistrano, CA, 92675, USA.
James PrenticeDepartment of Hematology and Oncology, Quest Diagnostics Nichols Institute, 33608 Ortega Highway, San Juan Capistrano, CA, 92675, USA.
David WolfsonQuest Diagnostics, Alameda, CA, USA.
Beryl CrossleyDepartment of Hematology and Oncology, Quest Diagnostics Nichols Institute, 33608 Ortega Highway, San Juan Capistrano, CA, 92675, USA.
Anthony SferruzzaDepartment of Hematology and Oncology, Quest Diagnostics Nichols Institute, 33608 Ortega Highway, San Juan Capistrano, CA, 92675, USA.
John SninskyQuest Diagnostics, Alameda, CA, USA.
David RossQuest Diagnostics, Alameda, CA, USA.
Andrew GrupeQuest Diagnostics, Alameda, CA, USA.
Joseph CataneseQuest Diagnostics, Alameda, CA, USA.
Feras HantashDepartment of Hematology and Oncology, Quest Diagnostics Nichols Institute, 33608 Ortega Highway, San Juan Capistrano, CA, 92675, USA.
Frederic WaldmanDepartment of Hematology and Oncology, Quest Diagnostics Nichols Institute, 33608 Ortega Highway, San Juan Capistrano, CA, 92675, USA.
Quest Diagnostics (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeveral targeted therapies have been approved for treatment of solid tumors. Identification of gene mutations that indicate response to these therapies is rapidly progressing. A 34-gene next-generation sequencing (NGS) panel, developed and validated by us, was evaluated to detect additional mutations in community-based cancer specimens initially sent to our reference laboratory for routine molecular testing.

methodsConsecutive de-identified clinical specimens (n = 121) from melanoma cases (n = 31), lung cancer cases (n = 27), colorectal cancer cases (n = 33), and breast cancer cases (n = 30) were profiled by NGS, and the results were compared with routine molecular testing.

resultsUpon initial mutation testing, 20 % (24/121) were positive. NGS detected ≥1 additional mutation not identified by routine testing in 74 % of specimens (90/121). Of the specimens with additional mutations, 16 harbored mutations in National Comprehensive Cancer Network guideline genes. These various additional mutations were in gene regions not routinely covered, in genes not routinely tested, and/or present at low allele frequencies. Moreover, NGS yielded no false negatives. Overall, NGS detected mutations in 59 % of the genes (20/34) included in the panel, 75 % of which (15/20) were detected in multiple tumor types. Mutations in TP53 were found in 51 % of tumors tested (62/121). Mutations in at least one other (non-TP53) gene present in the panel were detected in 64 % of cases (77/121).

conclusionThis assay provides improved breadth and sensitivity for profiling clinically relevant genes in these prevalent solid tumor types.

Indexed as

Biomarkers, TumorMutationAdultAgedAged, 80 and overAllelesBiopsyFemaleGene FrequencyGenetic TestingGenotypeHigh-Throughput Nucleotide SequencingHumansImmunohistochemistryIn Situ Hybridization, FluorescenceMaleBiomarkers, Tumor

Identifiers

PMID27084556
OpenAlexW2337915829

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.