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Detection of ALK fusion transcripts in FFPE lung cancer samples by NanoString technology

Overview of attention for article published in BMC Pulmonary Medicine, May 2017
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Title
Detection of ALK fusion transcripts in FFPE lung cancer samples by NanoString technology
Published in
BMC Pulmonary Medicine, May 2017
DOI 10.1186/s12890-017-0428-0
Pubmed ID
Authors

Adriane F. Evangelista, Maicon F. Zanon, Adriana Cruvinel Carloni, Flávia E. de Paula, Mariana Andozia Morini, Maressa Ferreira-Neto, Iberê Cauduro Soares, Jose Elias Miziara, Pedro de Marchi, Cristovam Scapulatempo-Neto, Rui M. Reis

Abstract

ALK-rearranged lung cancers exhibit specific pathologic and clinical features and are responsive to anti-ALK therapies. Therefore, the detection of ALK-rearrangement is fundamental for personalized lung cancer therapy. Recently, new molecular techniques, such as NanoString nCounter, have been developed to detect ALK fusions with more accuracy and sensitivity. In the present study, we intended to validate a NanoString nCounter ALK-fusion panel in routine biopsies of FFPE lung cancer patients. A total of 43 samples were analyzed, 13 ALK-positive and 30 ALK-negative, as previously detected by FISH and/or immunohistochemistry. The NanoString panel detected the presence of the EML4-ALK, KIF5B-ALK and TFG-ALK fusion variants. We observed that all the 13 ALK-positive cases exhibited genetic aberrations by the NanoString methodology. Namely, six cases (46.15%) presented EML-ALK variant 1, two (15.38%) presented EML-ALK variant 2, two (15.38%) presented EML-ALK variant 3a, and three (23.07%) exhibited no variant but presented unbalanced expression between 5'/3' exons, similar to other positive samples. Importantly, for all these analyses, the initial input of RNA was 100 ng, and some cases displayed poor RNA quality measurements. In this study, we reported the great utility of NanoString technology in the assessment of ALK fusions in routine lung biopsies of FFPE specimens.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 13%
Student > Doctoral Student 4 13%
Researcher 4 13%
Other 2 6%
Student > Bachelor 1 3%
Other 4 13%
Unknown 13 41%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 22%
Agricultural and Biological Sciences 3 9%
Medicine and Dentistry 3 9%
Economics, Econometrics and Finance 1 3%
Nursing and Health Professions 1 3%
Other 2 6%
Unknown 15 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 August 2017.
All research outputs
#18,565,641
of 22,994,508 outputs
Outputs from BMC Pulmonary Medicine
#1,401
of 1,945 outputs
Outputs of similar age
#238,869
of 313,440 outputs
Outputs of similar age from BMC Pulmonary Medicine
#28
of 37 outputs
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