Evidence map›Paper›PMID 29899834›Full record

ArticleOncotarget2018

Targeted DNA sequencing of non-small cell lung cancer identifies mutations associated with brain metastases.

George D Wilson, Matthew D Johnson, Samreen Ahmed, Paola Yumpo Cardenas, Inga S Grills, Bryan J Thibodeau

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

7 citing papers in PubMed, 8 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

6 authors at 1 institution in 1 country.

George D WilsonDepartment of Radiation Oncology, William Beaumont Hospital, Royal Oak, MI, USA.
Matthew D JohnsonDepartment of Radiation Oncology, William Beaumont Hospital, Royal Oak, MI, USA.
Samreen AhmedBeaumont BioBank, William Beaumont Hospital, Royal Oak, MI, USA.
Paola Yumpo CardenasCancer Genetics Program, William Beaumont Hospital, Royal Oak, MI, USA.
Inga S GrillsDepartment of Radiation Oncology, William Beaumont Hospital, Royal Oak, MI, USA.
Bryan J ThibodeauBeaumont BioBank, William Beaumont Hospital, Royal Oak, MI, USA.
Beaumont Hospital, Royal Oak · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThis study explores the hypothesis that dominant molecular oncogenes in non-small cell lung cancer (NSCLC) are associated with metastatic spread to the brain.

methodsNSCLC patient groups with no evidence of metastasis, with metastatic disease to a non-CNS site, who developed brain metastasis after diagnosis, and patients with simultaneous diagnosis of NSCLC and metastatic brain lesions were studied using targeted sequencing.

resultsIn patients with brain metastasis versus those without, only 2 variants (one each in BCL6 and NOTHC2) were identified that occurred in ≥ 4 NSCLC of patients with brain metastases but ≤ 1 of the NSCLC samples without brain metastases. At the gene level, 20 genes were found to have unique variants in more than 33% of the patients with brain metastases. When analyzed at the patient level, these 20 genes formed the basis of a predictive test to discriminate those with brain metastasis. Further analysis showed that PI3K/AKT signaling is altered in both the primary and metastases of NSCLC patients with brain lesions.

conclusionWhile no single variant was associated with brain metastasis, this study describes a potential gene panel for the identification of patients at risk and implicates PI3K/AKT signaling as a therapeutic target.

Indexed as

brain metastasesnext generation DNA sequencingnon-small cell lung cancerradiotherapytargeted agents

Identifiers

PMID29899834
PMCPMC5995256
OpenAlexW2804036516

What OpenQuestion holds

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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.