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Published on: September 25, 2018
Analysis of Fusion Genes by NanoString System: A Role in Lung Cytology?
Greta Alì, Rossella Bruno, Mauro Savino
1From the Unit of Pathological Anatomy (Drs Alì and Proietti and Ms Pelliccioni) and Pneumology (Dr Chella), the Endoscopic Section of Pneumology (Dr Ribechini), and the Program of Pleuropulmonary Pathology (Dr Fontanini), Azienda Ospedaliero Universitaria Pisana, Pisa, Italy; the Department of Surgical, Medical, Molecular Pathology and Critical Area, University of Pisa, Pisa, Italy (Drs Bruno, Giannini, and Boldrini); and Diatech Pharmacogenetics srl, Jesi, Italy (Drs Savino and Menghi).
Context:
- Patients with non-small cell lung cancer harboring ALK receptor tyrosine kinase ( ALK), ROS proto-oncogene 1 ( ROS1), and ret proto-oncogene ( RET) gene rearrangements can benefit from specific kinase inhibitors. Detection of fusion genes is critical for determining the best treatment. Assessing rearrangements in non-small cell lung cancer remains challenging, particularly for lung cytology.
Objective:
- To examine the possible application of the multiplex, transcript-based NanoString system (NanoString Technologies, Seattle, Washington) in the evaluation of fusion genes in lung adenocarcinoma samples.
Data Sources:
- This study is a narrative literature review. Studies about NanoString, gene fusions, and lung adenocarcinoma were collected from PubMed (National Center for Biotechnology Information, Bethesda, Maryland). We found 7 articles about the application of the NanoString system to detect fusion genes on formalin-fixed, paraffin-embedded tumor tissues and one article evaluating the adequacy of lung cytologic specimens for NanoString gene expression analysis.
Conclusions:
- To maximize the yield of molecular tests on small lung biopsies, the NanoString nCounter system has been suggested to detect fusion genes. NanoString fusion gene assays have been successfully applied on formalin-fixed, paraffin-embedded tissues. Although there are only a few studies available, the application of NanoString assays may also be feasible in lung cytology. According to available data, the NanoString system could strengthen the routine molecular characterization of lung adenocarcinoma.
Insights
The NanoString nCounter system shows promise for detecting gene fusions in lung adenocarcinoma, aiding targeted therapy selection. This method may be effective even in lung cytology samples, improving molecular characterization.
Area of Science:
- Oncology
- Molecular Diagnostics
- Genomics
Background:
- Non-small cell lung cancer (NSCLC) patients with ALK, ROS1, or RET gene rearrangements benefit from targeted kinase inhibitors.
- Accurate detection of these gene fusions is crucial for personalized treatment strategies.
- Assessing gene rearrangements in NSCLC, especially using lung cytology, presents diagnostic challenges.
Purpose of the Study:
- To evaluate the potential utility of the multiplex, transcript-based NanoString system for identifying gene fusions in lung adenocarcinoma.
- To explore the application of NanoString technology in analyzing gene rearrangements relevant to NSCLC treatment.
Main Methods:
- A narrative literature review was conducted, searching PubMed for studies on the NanoString system, gene fusions, and lung adenocarcinoma.
- Included studies focused on NanoString's application in detecting gene fusions in formalin-fixed, paraffin-embedded (FFPE) tumor tissues and evaluating lung cytology specimens.
Main Results:
- NanoString fusion gene assays have demonstrated success in detecting gene fusions in FFPE tissues.
- Preliminary findings suggest that NanoString assays may also be feasible for analyzing lung cytology samples.
- The system is proposed to enhance the yield of molecular tests from small lung biopsies.
Conclusions:
- The NanoString nCounter system offers a viable approach for detecting gene fusions in lung adenocarcinoma.
- Its application in lung cytology warrants further investigation but appears promising.
- NanoString technology has the potential to significantly improve the routine molecular characterization of lung adenocarcinoma for better patient management.
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