Accurate Identification of Predictive Biomarkers of Response to Targeted Therapies in Lung Cancer With Next Generation Sequencing

2019 ◽  
Vol 55 (5) ◽  
pp. 268-269
Author(s):  
Laura Moliner ◽  
Concepción Fernández ◽  
Sergi Clavé ◽  
Edurne Arriola
2017 ◽  
Vol 35 (15_suppl) ◽  
pp. e20522-e20522
Author(s):  
Yen-Jung Lu ◽  
Kien Thiam Tan ◽  
Chun-Jung Chen ◽  
Ren-Shiang Jhou ◽  
Yi-Ting Yang ◽  
...  

e20522 Background: Lung cancer boasts an arsenal of targeted therapies directed at various molecular aberrations such as EGFR mutations and fusion genes. Simultaneous assessment for genetic alterations provides biomarkers to assist clinicians in their treatment selections. Methods: A total of 43 FFPE (formalin-fixed, paraffin-embedded) samples obtained from lung cancer patients in Taiwan were subjected to next-generation sequencing (NGS), using a compact panel encompassing 17 potentially actionable, lung cancer-associated genes. NGS was performed on the Ion Torrent PGM or Proton System with a targeted average depth of > 800x. Genomic alterations detected were categorized as single nucleotide variants (SNV) or chromosomal copy number alterations (CNA). Results: A total of 74 putatively actionable genomic alterations were detected across 38 patients (88.4%), which may predict sensitivity or resistance to established and/or therapies that are still in clinical development. 19 patients (44.2%) had tumors harboring activating EGFR mutations in the tyrosine kinase (TK) domain – L858R substitution or exon 19 deletion, which may suggest clinical benefit to first- and second-generation EGFR TK inhibitors (TKIs). Three patients (7.0%) whose tumor had acquired the EGFR T790M mutation were advised to switch to third-generation EGFR TKI. Possible resistance mechanisms to EGFR TKIs via increased copy number of EGFR (14.0%, n = 6) and MET (11.6%, n = 5) were observed. Deletion or loss of CDKN2A gene were detected in 14 patients (32.6%), which may confer sensitivity to CDK4/6 inhibitors. Inhibition of downstream effectors in the RAS/RAF/MEK/ERK and PI3K/AKT/mTOR pathways were suggested for patients whose tumor harbored PIK3CA and/or KRAS oncogenic mutations. Conclusions: Next-generation sequencing using a compact panel of genes may be sufficient to identify biomarkers for targeted therapies selection for most lung cancer patients in Taiwan.


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.


2021 ◽  
Vol 2021 (10) ◽  
Author(s):  
Farasat Kazmi ◽  
Nipun Shrestha ◽  
Stephen Booth ◽  
David Dodwell ◽  
Francesca Aroldi ◽  
...  

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