Dataset Information

Cell free DNA analysis by SiRe® next generation sequencing panel in non small cell lung cancer patients: focus on basal setting.

ABSTRACT: Non small cell lung cancer (NSCLC) is diagnosed in most cases on small tissue samples, such as cytological preparations and histological biopsies; these limited tissue specimens may be not always sufficient for testing epidermal growth factor receptor (EGFR) mutations and other relevant predictive biomarkers. Cell-free DNA (cfDNA) can be used as a surrogate for EGFR mutational testing, whenever tissue is unavailable. However, the detection of gene mutations on cfDNA is challenging; in fact, the extremely low concentration of circulating tumor DNA requires the implementation of highly sensitive and validated next generation techniques.Thus, we have recently validated a novel next generation sequencing (NGS) assay, employing the SiRe® gene panel to detect on cfDNA mutations of EGFR and KRAS, NRAS, BRAF, cKIT and PDGFR genes. In this current study, we report on a series of NSCLC patients, without available tissue for EGFR testing, who prospectively underwent SiRe® NGS analysis.The results confirm the high clinical performance, in terms of success rate and mutation detection, of NGS based analysis of cfDNA.SiRe® NGS panel represent an effective diagnostic tool in cfDNA analysis setting.

SUBMITTER: Pisapia P

PROVIDER: S-EPMC5676109 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Cell free DNA analysis by SiRe<sup>®</sup> next generation sequencing panel in non small cell lung cancer patients: focus on basal setting.

Pisapia Pasquale P Pepe Francesco F Smeraglio Riccardo R Russo Maria M Rocco Danilo D Sgariglia Roberta R Nacchio Mariantonia M De Luca Caterina C Vigliar Elena E Bellevicine Claudio C Troncone Giancarlo G Malapelle Umberto U

Journal of thoracic disease 20171001 Suppl 13

<h4>Background</h4>Non small cell lung cancer (NSCLC) is diagnosed in most cases on small tissue samples, such as cytological preparations and histological biopsies; these limited tissue specimens may be not always sufficient for testing epidermal growth factor receptor (<i>EGFR</i>) mutations and other relevant predictive biomarkers. Cell-free DNA (cfDNA) can be used as a surrogate for <i>EGFR</i> mutational testing, whenever tissue is unavailable. However, the detection of gene mutations on cf ...[more]

PMID: 29184677

Similar Datasets

Project description:The clinical utility of next-generation sequencing (NGS) for a diverse range of targets is expanding, increasing the need for multiplexed analysis of both DNA and RNA. However, translation into daily use requires a rigorous and comprehensive validation strategy. The aim of this clinical validation was to assess the performance of the Ion Torrent Personal Genome Machine (IonPGM™) and validate the Oncomine™ Focus DNA and RNA Fusion panels for clinical application in solid tumour testing of formalin-fixed, paraffin-embedded (FFPE) tissue. Using a mixture of routine FFPE and reference material across a variety of tissue and specimen types, we sequenced 86 and 31 samples on the Oncomine™ Focus DNA and RNA Fusion assays, respectively. This validation considered a number of parameters including the clinical robustness of the bioinformatics pipeline for variant detection and interpretation. The Oncomine™ Focus DNA assay had a sample and variant-based sensitivity of 99.1 and 97.1%, respectively, and an assay specificity of 100%. The Oncomine™ Focus Fusion panel had a good sensitivity and specificity based upon the samples assessed, however requires further validation to confirm findings due to limited sample numbers. We observed a good sequencing performance based upon amplicon, gene (hotspot variants within gene) and sample specific analysis with 92% of clinical samples obtaining an average amplicon coverage above 500X. Detection of some indels was challenging for the routine IonReporter™ workflow; however, the addition of NextGENe® software improved indel identification demonstrating the importance of both bench and bioinformatic validation. With an increasing number of clinically actionable targets requiring a variety of methodologies, NGS provides a cost-effective and time-saving methodology to assess multiple targets across different modalities. We suggest the use of multiple analysis software to ensure identification of clinically applicable variants.

Project description:Gestational trophoblastic neoplasia (GTN) originates from placental tissue and exhibits the potential for invasion and metastasis. Gene alterations in GTN have not been extensively studied because of a lack of qualified tumor specimens after chemotherapy. GTN has a rapid growth rate and is highly metastatic, which makes circulating tumor DNA (ctDNA) sequencing a promising modality for gene profiling. Accordingly, in this study, we performed targeted next-generation sequencing (NGS) of 559 tumor-associated genes using circulating cell-free DNA (cfDNA) collected prior to chemotherapy from 11 patients with GTN. All sequenced genes were associated with oncogenesis, progression, and targeted therapy. The average cfDNA level was 0.43 ± 0.22 ng/μL. Significant correlations were found between cfDNA concentration and maximum lesion diameter (r = 0.625, p=0.040) and time for human chorionic gonadotropin beta subunit (β-HCG) recovering to normal level (r = 0.609, p=0.047). There were no significant correlations between cfDNA concentrations and β-HCG expression level or lung metastasis. ctDNA mutations were detected in all patients, and 73 mutant genes were detected in 11 patients. BMPR1A (27.3%), LRP1B (27.3%), ERCC4 (18.2%), FGF14 (18.2%), HSP90AA1 (18.2%), KAT6A (18.2%), KMT2D (18.2%), MAP3K1 (18.2%), RANBP2 (18.2%), and ZNF217 (18.2%) mutations were detected as overlapping mutations. The mRNA and protein levels of bone morphogenetic protein receptor type 1A were significantly downregulated in human JAR and JEG-3 choriocarcinoma cells (p < 0.0001), whereas mRNA and protein levels of mitogen-activated protein kinase kinase kinase 1 were upregulated in these two cell lines (p=0.0128, p=0.0012, respectively). These genes may play important roles in GTN initiation and progression and may be candidate targets for GTN treatment. These findings suggested that cfDNA levels could provide potential assessment value in disease severity of GTN and that ctDNA sequencing was a promising approach for identifying gene mutations in GTN.

Dataset Information

Cell free DNA analysis by SiRe® next generation sequencing panel in non small cell lung cancer patients: focus on basal setting.

Publications

Cell free DNA analysis by SiRe<sup>®</sup> next generation sequencing panel in non small cell lung cancer patients: focus on basal setting.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets