Evidence map›Paper›PMID 27151654›Full record

ArticleThe oncologist2016

Comprehensive Genomic Profiling Facilitates Implementation of the National Comprehensive Cancer Network Guidelines for Lung Cancer Biomarker Testing and Identifies Patients Who May Benefit From Enrollment in Mechanism-Driven Clinical Trials.

James H Suh, Adrienne Johnson, Lee Albacker, Kai Wang, Juliann Chmielecki, Garrett Frampton, Laurie Gay, Julia A Elvin, Jo-Anne Vergilio, Siraj Ali and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in The oncologist, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed
9.5field-weighted citation impact, top 2% 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

58 citing papers in PubMed, 98 citations in OpenAlex.

  1. Review
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  18. Cancers · 2023
    Article
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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

13 authors at 2 institutions in 1 country.

James H SuhFoundation Medicine, Inc., Cambridge, Massachusetts, USA jsuh@foundationmedicine.com.
Adrienne JohnsonFoundation Medicine, Inc., Cambridge, Massachusetts, USA.
Lee AlbackerFoundation Medicine, Inc., Cambridge, Massachusetts, USA.
Kai WangFoundation Medicine, Inc., Cambridge, Massachusetts, USA Zhejiang Cancer Hospital, Hangzhou, People's Republic of China.
Juliann ChmieleckiFoundation Medicine, Inc., Cambridge, Massachusetts, USA.
Garrett FramptonFoundation Medicine, Inc., Cambridge, Massachusetts, USA.
Laurie GayFoundation Medicine, Inc., Cambridge, Massachusetts, USA.
Julia A ElvinFoundation Medicine, Inc., Cambridge, Massachusetts, USA.
Jo-Anne VergilioFoundation Medicine, Inc., Cambridge, Massachusetts, USA.
Siraj AliFoundation Medicine, Inc., Cambridge, Massachusetts, USA.
Vincent A MillerFoundation Medicine, Inc., Cambridge, Massachusetts, USA.
Philip J StephensFoundation Medicine, Inc., Cambridge, Massachusetts, USA.
Jeffrey S RossFoundation Medicine, Inc., Cambridge, Massachusetts, USA.
Foundation Medicine (United States)Zhejiang Cancer Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe National Comprehensive Cancer Network (NCCN) guidelines for patients with metastatic non-small cell lung cancer (NSCLC) recommend testing for EGFR, BRAF, ERBB2, and MET mutations; ALK, ROS1, and RET rearrangements; and MET amplification. We investigated the feasibility and utility of comprehensive genomic profiling (CGP), a hybrid capture-based next-generation sequencing (NGS) test, in clinical practice.

methodsCGP was performed to a mean coverage depth of 576× on 6,832 consecutive cases of NSCLC (2012-2015). Genomic alterations (GAs) (point mutations, small indels, copy number changes, and rearrangements) involving EGFR, ALK, BRAF, ERBB2, MET, ROS1, RET, and KRAS were recorded. We also evaluated lung adenocarcinoma (AD) cases without GAs, involving these eight genes.

resultsThe median age of the patients was 64 years (range: 13-88 years) and 53% were female. Among the patients studied, 4,876 (71%) harbored at least one GA involving EGFR (20%), ALK (4.1%), BRAF (5.7%), ERBB2 (6.0%), MET (5.6%), ROS1 (1.5%), RET (2.4%), or KRAS (32%). In the remaining cohort of lung AD without these known drivers, 273 cancer-related genes were altered in at least 0.1% of cases, including STK11 (21%), NF1 (13%), MYC (9.8%), RICTOR (6.4%), PIK3CA (5.4%), CDK4 (4.3%), CCND1 (4.0%), BRCA2 (2.5%), NRAS (2.3%), BRCA1 (1.7%), MAP2K1 (1.2%), HRAS (0.7%), NTRK1 (0.7%), and NTRK3 (0.2%).

conclusionCGP is practical and facilitates implementation of the NCCN guidelines for NSCLC by enabling simultaneous detection of GAs involving all seven driver oncogenes and KRAS. Furthermore, without additional tissue use or cost, CGP identifies patients with "pan-negative" lung AD who may benefit from enrollment in mechanism-driven clinical trials. IMPLICATIONS FOR PRACTICE: National Comprehensive Cancer Network guidelines for patients with metastatic non-small cell lung cancer (NSCLC) recommend testing for several genomic alterations (GAs). The feasibility and utility of comprehensive genomic profiling were studied in NSCLC and in lung adenocarcinoma (AD) without GAs. Of patients with NSCLC, 71% harbored at least one GA to a gene listed in the guidelines or KRAS; 273 cancer-related genes were altered in at least 0.1% of the AD cases. Although logistical and administrative hurdles limit the widespread use of next-generation sequencing, the data confirm the feasibility and potential utility of comprehensive genomic profiling in clinical practice.

Indexed as

Biomarkers, TumorClinical Trials as TopicPatient ParticipationAdenocarcinomaAdenocarcinoma of LungAdolescentAdultAgedAged, 80 and overCarcinoma, Non-Small-Cell LungErbB ReceptorsGene Expression ProfilingHigh-Throughput Nucleotide SequencingHumansLung NeoplasmsMiddle AgedBiomarkers, TumorErbB ReceptorsClinical trialsComprehensive genomic profilingNational Comprehensive Cancer Network guidelinesNon-small cell lung cancer

Identifiers

PMID27151654
PMCPMC4912374
OpenAlexW2345898309

What OpenQuestion holds

Textmetadata
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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.