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Liquid biopsy as an option for predictive testing and prognosis in patients with lung cancer
Örebro University, School of Medical Sciences. Dept. of Laboratory Medicine.
Örebro University, School of Medical Sciences. Örebro University Hospital. Dept. of Laboratory Medicine.ORCID iD: 0000-0003-4637-8626
Örebro University, School of Medical Sciences. Örebro University Hospital. Dept. of Urology.ORCID iD: 0000-0001-5533-7899
Dept. of Respiratory Medicine, Gävle Hospital, Gävle, Sweden; Centre for Research and Development Region Gävleborg/Uppsala University, Gävle, Sweden; Dept. of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
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2021 (English)In: Molecular Medicine, ISSN 1076-1551, E-ISSN 1528-3658, Vol. 27, no 1, article id 68Article in journal (Refereed) Published
Abstract [en]

Background: The aim of this study was to investigate the clinical value of liquid biopsy as a primary source for variant analysis in lung cancer. In addition, we sought to characterize liquid biopsy variants and to correlate mutational load to clinical data.

Methods: Circulating cell-free DNA was extracted from plasma from patients with lung cancer (n = 60) and controls with benign lung disease (n = 16). Variant analysis was performed using the AVENIO ctDNA Surveillance kit and the results were correlated to clinical and variant analysis data from tumor tissue or cytology retrieved from clinical routine diagnostics.

Results: There were significantly more variants detected in lung cancer cases compared to controls (p = 0.011), but no difference between the histological subgroups of lung cancer was found (p = 0.465). Furthermore, significantly more variants were detected in patients with stage IIIb-IV disease compared to patients with stage I-IIIa (median 7 vs 4, p = 0.017). Plasma cfDNA mutational load was significantly associated with overall survival (p = 0.010). The association persisted when adjusted for stage and ECOG performance status (HR: 3.64, 95% CI 1.37-9.67, p = 0.009). Agreement between tumor and plasma samples significantly differed with stage; patients with stage IIIb-IV disease showed agreement in 88.2% of the cases with clinically relevant variants, compared to zero cases in stage I-IIIa (p = 0.004). Furthermore, one variant in EGFR, two in KRAS, and one in BRAF were detected in plasma but not in tumor samples.

Conclusion: This study concludes that in the vast majority of advanced NSCLC patients a reliable variant analysis can be performed using liquid biopsy from plasma. Furthermore, we found that the number of variants in plasma is associated with prognosis, possibly indicating a strategy for closer follow up on this crucial patient group.

Place, publisher, year, edition, pages
Springer, 2021. Vol. 27, no 1, article id 68
National Category
Cancer and Oncology
Identifiers
URN: urn:nbn:se:oru:diva-93189DOI: 10.1186/s10020-021-00331-1ISI: 000669300200001PubMedID: 34217228Scopus ID: 2-s2.0-85110796418OAI: oai:DiVA.org:oru-93189DiVA, id: diva2:1582281
Note

Funding Agencies:

Örebro County Council Research committee  

Lions fund for cancer research Uppsala-Örebro  

Nyckelfonden-Örebro University Hospital Research Foundation  

Uppsala-Örebro Regional research council 

Available from: 2021-07-30 Created: 2021-07-30 Last updated: 2024-11-06Bibliographically approved
In thesis
1. Achieving Precision Diagnostics for Cancer using Circulating Biomarkers
Open this publication in new window or tab >>Achieving Precision Diagnostics for Cancer using Circulating Biomarkers
2024 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Each year, nearly 20 million people are diagnosed with cancer worldwide,and over 9.7 million die of the disease. Tumor tissue sampling is essential for diagnosis and treatment, but it poses risks and may not fully represent the tumor due to heterogeneity. Additionally, limited sample sizes can hinder comprehensive testing, affecting precision diagnostics.

Circulating biomarkers offer a non-invasive alternative, as they are easily obtained from body fluids, and reflect tumor activity. These biomarkers include DNA, RNA, vesicles, proteins, metabolites, and whole tumor cells. They hold potential for screening, diagnosis, treatment selection, monitoring, and prognosis. Currently, circulating cell-free DNA (cfDNA) is the only clinically used biomarker for treatment selection and monitoring in cases without available tumor tissue.

The main aim of this thesis was to explore the clinical use of circulating biomarkers in cancer care. Paper I investigated liquid biopsy for variant analysis in lung cancer, finding that plasma cfDNA could predict overall survival and reliably detect variants in advanced cases. Paper II explored glycosaminoglycans (GAGs) as biomarkers for lung cancer, revealing that combining cfDNA and GAG profiles improved diagnostic sensitivity. Paper III developed sensitive assays to detect HPV in plasma, correlating ctHPV-DNA levels with tumor characteristics in oropharyngeal cancer. Paper IV examined methylation patterns in cfDNA, identifying regions that could distinguish cancer from other diseases using machine learning.

Overall, this thesis demonstrates the clinical potential of circulating biomarkers for cancer diagnosis, prognosis, and monitoring, emphasizing the value of multimodal approaches in enhancing detection accuracy.

Place, publisher, year, edition, pages
Örebro: Örebro University, 2024. p. 89
Series
Örebro Studies in Medicine, ISSN 1652-4063 ; 303
Keywords
circulating biomarkers, cfDNA, ctDNA, ctHPV-DNA, lung cancer, Next Generation Sequencing, oropharyngeal cancer, severe nonspecific symptoms of cancer, ultrasensitive detection
National Category
Other Basic Medicine
Identifiers
urn:nbn:se:oru:diva-115850 (URN)9789175296005 (ISBN)9789175296012 (ISBN)
Public defence
2024-11-29, Örebro universitet, Campus USÖ, Tidefeltsalen, Södra Grev Rosengatan 32, Örebro, 09:00 (Swedish)
Opponent
Supervisors
Available from: 2024-09-10 Created: 2024-09-10 Last updated: 2024-11-11Bibliographically approved

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Qvick, AlvidaStenmark, BiancaCarlsson, JessicaKarlsson, ChristinaHelenius, Gisela

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