Next generation sequencing guided molecular diagnostic tests in non-small-cell lung cancer

Jiacong Wei

    Research output: ThesisThesis fully internal (DIV)

    447 Downloads (Pure)

    Abstract

    The aim of this thesis is to improve diagnostic methods to identify genomic aberrations with clinical significance in non-small cell lung cancer (NSCLC) patients. We tested the feasibility of an all-in-one transcriptome-based assay to simultaneously identify different types of genetic variants with clinical significance in those patients in Chapter 2. An accuracy of 100% can be reached by using criteria for quality control e.g. RNA integrity and total unique reads. Our study showed the potential of application in diagnostic settings. In chapter 3, we analyzed EGFR mutation and amplification status in advanced NSCLC patients using targeted DNA sequencing data available from the routine molecular diagnostics. We showed the feasibility of using the generation sequencing (NGS) data to identify amplifications in genes relevant for daily diagnostics. Amplification of EGFR in patients with EGFR mutations were associated with poor tumor response to EGFR TKI. In chapter 4, we aimed to identify potential novel crizotinib-induced resistance mechanisms in ALK-break positive NSCLC patients. By analyzing whole exome sequencing data on paired pre- and post TKI tissue samples, we found the enrichment of mutations in genes associated with EMT-related pathways, indicating that loss of epithelial differentiation represents a resistance mechanism for crizotinib. In chapter 5, using a cohort of esophageal squamous cell carcinoma patients, we showed that somatic mutations can be detected in pre-surgery cfDNA in early stage patients, and at a lower frequency in post-surgery cfDNA, indicating that cfDNA could potentially be used to monitor disease load.
    Original languageEnglish
    QualificationDoctor of Philosophy
    Awarding Institution
    • University of Groningen
    Supervisors/Advisors
    • van den Berg, Anke, Supervisor
    • Groen, Harry, Supervisor
    • Kok, Klaas, Co-supervisor
    Award date19-Nov-2019
    Place of Publication[Groningen]
    Publisher
    Print ISBNs9789463755887
    Electronic ISBNs9789463755917
    DOIs
    Publication statusPublished - 2019

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