Evidence map›Paper›PMID 31372275›Full record

ArticleJournal of thoracic disease2019

Deep targeted sequencing analysis of hot spot mutations in non-small cell lung cancer patients from the Middle Eastern population.

Pierre Khoueiry, Ghina Fakhri, Reem Akel, Majd El Assaad, Rami Mahfouz, Fadlo Khuri, Hassan Chami, Jason Petersen, Sarah Viet, Gareth Davies and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Journal of thoracic disease, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 59% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Article
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

12 authors at 3 institutions in 2 countries.

Pierre KhoueiryDepartment of Biochemistry and Molecular Genetics, American University of Beirut, Beirut, Lebanon.
Ghina FakhriDivision of Hematology and Oncology, Department of Internal Medicine, American University of Beirut Medical Center, Beirut, Lebanon.
Reem AkelDivision of Hematology and Oncology, Department of Internal Medicine, American University of Beirut Medical Center, Beirut, Lebanon.
Majd El AssaadDivision of Hematology and Oncology, Department of Internal Medicine, American University of Beirut Medical Center, Beirut, Lebanon.
Rami MahfouzDepartment of Pathology and Laboratory Medicine, American University of Beirut Medical Center, Beirut, Lebanon.
Fadlo KhuriDivision of Hematology and Oncology, Department of Internal Medicine, American University of Beirut Medical Center, Beirut, Lebanon.
Hassan ChamiDivision of Pulmonary and Critical Care, Department of Internal Medicine, American University of Beirut Medical Center, Beirut, Lebanon.
Jason PetersenAvera Institute for Human Genetics, Sioux Falls, South Dakota 57108, USA.
Sarah VietAvera Institute for Human Genetics, Sioux Falls, South Dakota 57108, USA.
Gareth DaviesAvera Institute for Human Genetics, Sioux Falls, South Dakota 57108, USA.
Humam KadaraDepartment of Biochemistry and Molecular Genetics, American University of Beirut, Beirut, Lebanon.
Arafat TfayliDivision of Hematology and Oncology, Department of Internal Medicine, American University of Beirut Medical Center, Beirut, Lebanon.
American University of Beirut Medical Center · LBAvera Health · USAmerican University of Beirut · LB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe overall 5-year survival of lung cancer remains dismal despite the current treatment regimens. Testing for driver mutations has become routine practice for oncologists due to the presence of targeted therapy readily available for patients. Deep targeted sequencing through next generation sequencing (NGS) is an adequate methodology to detect mutations at multi-genetic levels. The molecular pathology of non-small cell lung cancer (NSCLC) is poorly understood in the Middle East and, to date, no other reports have been published on deep targeted sequencing of lung adenocarcinoma (LUAD) tissues.

methodsDeep targeted sequencing using TruSeq Amplicon Cancer panel of 48 genes was performed on 85 formalin-fixed paraffin-embedded tissues from patients with LUAD who were treatment-naive at the time of the collection. Variants with an allele frequency higher than 10% were retained.

resultsVariant calling identified a total of 2,455 variants of which missense mutations were the most frequent (75.6%). All of our samples showed at least one mutation in one of the 10 most commonly mutated genes with FLT3 being the gene with the highest mutation rate (67%). TP53, KRAS and STK11 were the second, third and fourth most commonly mutated genes, respectively while EGFR mutation rate reached 22.4%.

conclusionsTo the best of our knowledge, this is the first hot spot profiling study on patients from this area. The frequencies of mutated genes presented in our study showed similarity to other reported outcomes. At least one mutation was detected in our cohort of LUAD.

Indexed as

hot spot mutationsLung adenocarcinoma (LUAD)Middle Eastnext generation sequencing (NGS)

Identifiers

PMID31372275
PMCPMC6626786
OpenAlexW2949277853

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.