Lung cancer adrenal gland metastasis: Optimal fine-needle aspirate and touch preparation smear cellularity characteristics for successful theranostic next-generation sequencing

2014 ◽  
Vol 122 (11) ◽  
pp. 822-832 ◽  
Author(s):  
Ferga C. Gleeson ◽  
Benjamin R. Kipp ◽  
Michael J. Levy ◽  
Jesse S. Voss ◽  
Michael B. Campion ◽  
...  
2016 ◽  
Vol 141 (3) ◽  
pp. 402-409 ◽  
Author(s):  
Vijayalakshmi Padmanabhan ◽  
Heather B. Steinmetz ◽  
Elizabeth J. Rizzo ◽  
Amber J. Erskine ◽  
Tamara L. Fairbank ◽  
...  

Context.— At our medical center, cytopathologists perform rapid on-site evaluation for specimen adequacy of fine-needle aspiration and touch imprint of needle core biopsy lung cancer samples. Two years ago the molecular diagnostics laboratory at our institution changed to next-generation sequencing using the Ion Torrent PGM and the 50-gene AmpliSeq Cancer Hotspot Panel v2 for analyzing mutations in a 50-gene cancer hot spot panel. This was associated with a dramatic fall in adequacy rate (68%). Objective.— To improve the adequacy rate to at least 90% for molecular testing using next-generation sequencing for all specimens collected by rapid on-site evaluation by the cytology laboratory. Design.— After baseline data on adequacy rate of cytology specimens with rapid on-site evaluation for molecular testing had been collected, 2 changes were implemented. Change 1 concentrated all the material in one block but did not produce desired results; change 2, in addition, faced the block only once with unstained slides cut up front for molecular testing. Data were collected in an Excel spreadsheet and adequacy rate was assessed. Results.— Following process changes 1 and 2 we reached our goal of at least 90% adequacy rate for molecular testing by next-generation sequencing on samples collected by rapid on-site evaluation including computed tomography–guided needle core biopsies (94%; 17 of 18) and fine-needle aspiration samples (94%; 30 of 32). Conclusion.— This study focused on factors that are controllable in a pathology department and on maximizing use of scant tissue. Optimizing the adequacy of the specimen available for molecular tests avoids the need for a second procedure to obtain additional tissue.


Cancers ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 2707
Author(s):  
Maria Gabriela O. Fernandes ◽  
Natália Cruz-Martins ◽  
Conceição Souto Moura ◽  
Susana Guimarães ◽  
Joana Pereira Reis ◽  
...  

Background: Analysis of circulating tumor DNA (ctDNA) has remarkable potential as a non-invasive lung cancer molecular diagnostic method. This prospective study addressed the clinical value of a targeted-gene amplicon-based plasma next-generation sequencing (NGS) assay to detect actionable mutations in ctDNA in patients with newly diagnosed advanced lung adenocarcinoma. Methods: ctDNA test performance and concordance with tissue NGS were determined, and the correlation between ctDNA findings, clinical features, and clinical outcomes was evaluated in 115 patients with paired plasma and tissue samples. Results: Targeted-gene NGS-based ctDNA and NGS-based tissue analysis detected 54 and 63 genomic alterations, respectively; 11 patients presented co-mutations, totalizing 66 hotspot mutations detected, 51 on both tissue and plasma, 12 exclusively on tissue, and 3 exclusively on plasma. NGS-based ctDNA revealed a diagnostic performance with 81.0% sensitivity, 95.3% specificity, 94.4% PPV, 83.6% NPV, test accuracy of 88.2%, and Cohen’s Kappa 0.764. PFS and OS assessed by both assays did not significantly differ. Detection of ctDNA alterations was statistically associated with metastatic disease (p = 0.013), extra-thoracic metastasis (p = 0.004) and the number of organs involved (p = 0.010). Conclusions: This study highlights the potential use of ctDNA for mutation detection in newly diagnosed NSCLC patients due to its high accuracy and correlation with clinical outcomes.


PLoS ONE ◽  
2013 ◽  
Vol 8 (12) ◽  
pp. e83607 ◽  
Author(s):  
Dario de Biase ◽  
Michela Visani ◽  
Umberto Malapelle ◽  
Francesca Simonato ◽  
Valentina Cesari ◽  
...  

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