Christine Fribert Thusgaard

Mrs. Christine Fribert Thusgaard

Clinical Research, University of Southern Denmark, Odense, Syddanmark, Denmark
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Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 June 2021 in Gynecologic Oncology
Verified
Journal Article
Open access
CTChristine Fribert Thusgaard
Christine Fribert Thusgaard
MKMalene Korsholm
Malene Korsholm
KKKristina Magaard Koldby
Kristina Magaard Koldby
TKTorben A. Kruse
Torben A. Kruse
MTmads Thomassen
mads Thomassen
KJKirsten Marie Jochumsen
Kirsten Marie Jochumsen
One way to improve the survival rate of epithelial Ovarian Cancer (EOC) is by identifying effective biomarkers useful at different stages and time points of the disease. A potential biomarker is circulating tumor DNA (ctDNA) in plasma or serum. In this systematic review, we provide an overview of applications of ctDNA in EOC to discuss the direction of future research in this field. We performed a systematic search in Pubmed, Embase, and Scopus to identify relevant clinical studies eligible for inclusion. Furthermore, the references in the identified studies and relevant reviews were assessed to identify additional studies. The PRISMA guideline was employed to perform the systematic review, and data from the studies were extracted using piloted data extraction forms. A total of 36 observational studies were included. The concordance between tumor and ctDNA was assessed in 19 studies, early diagnosis in 1, diagnosis in 23, monitoring of treatment response in 7, detection of reversion mutations in 3, prognosis in 9, but no studies assessed early detection of recurrence. Data from the studies were reported descriptively. The studies had a large variation in the methods used for ctDNA analysis and limited sample sizes of 10-126 patients. Overall, the studies show that ctDNA is a potential biomarker for EOC useful in several settings during assessment and treatment of these patients. Although the identified studies are limited in number and their methods for ctDNA analysis vary, it is clear that ctDNA as a biomarker for EOC is promising for several applications in diagnostics, monitoring of treatment response, and prognostics. However, more studies are needed to establish the ideal methods and settings for the clinical use of ctDNA in EOC.

8 November 2022 in Gynecologic Oncology Reports
Verified
Journal Article
Open access
EJEmma Lund Johansen
Emma Lund Johansen
CTChristine Fribert Thusgaard
Christine Fribert Thusgaard
MTMads Thomassen
Mads Thomassen
SBSusanne Eriksen Boonen
Susanne Eriksen Boonen
KJKirsten Marie Jochumsen
Kirsten Marie Jochumsen
• During the past century a lot of knowledge has been gained concerning hereditary ovarian cancer. • Several ovarian cancer susceptibility genes have been discovered within the past decades. • Expanding knowledge in the genetic field has led to preventive measures and treatment regimens for ovarian cancer patients. • In Denmark, the test panel used in screening for hereditary ovarian cancer risk currently includes ten genes. • More germline pathogenic variants will most likely be discovered and possibly added to the screening panel in the future.

Verified
Journal Article
Open access
PDF file
CTChristine Fribert Thusgaard
Christine Fribert Thusgaard
SSSepideh Sadegh
Sepideh Sadegh
KJKirsten Marie Jochumsen
Kirsten Marie Jochumsen
TKTorben A. Kruse
Torben A. Kruse
MTmads Thomassen
mads Thomassen
Circulating tumor DNA (ctDNA) is a biomarker that could potentially improve the survival rate of ovarian cancer (OC), e.g., by monitoring treatment response and early relapse detection. However, an optimal method for ctDNA analysis in OC remains to be established. We developed a method for tumor-informed single-nucleotide variant detection of ctDNA in OC using whole-genome sequencing. Tumor and plasma samples obtained at the time of diagnosis from 10 patients with OC were included. The tested method involved applying basic filters with different cut-offs of read depth, allelic depth, and variant allele frequency of tumor and normal DNA. In addition, we applied a new filtering approach using plasma samples from the other included OC patients (the plasma pool) for specific removal of artefacts. The basic filters with varying cut-offs showed minor improvement in signal-to-noise ratio (S2N). However, the addition of the plasma pool filter resulted in a considerable ctDNA signal improvement, indicated by both S2N and z-score. This study demonstrates a promising method for ctDNA detection in OC patients using a tumor-informed approach for whole-genome sequencing. Despite the limited number of patients involved, the results suggest a significant potential of the method for ctDNA signal detection in patients with OC.