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Dissecting tumor heterogeneity by liquid biopsy - a comparative analysis of post-mortem tissue and pre-mortem liquid biopsies in solid neoplasias

  • Tumor heterogeneity encompasses genetic, epigenetic, and phenotypic diversity, impacting treatment response and resistance. Spatial heterogeneity occurs both inter- and intra-lesionally, while temporal heterogeneity results from clonal evolution. High-throughput technologies like next-generation sequencing (NGS) enhance tumor characterization, but conventional biopsies still do not adequately capture genetic heterogeneity. Liquid biopsy (LBx), analyzing circulating tumor DNA (ctDNA), provides a minimally invasive alternative, offering real-time tumor evolution insights and identifying resistance mutations overlooked by tissue biopsies. This study evaluates the capability of LBx to capture tumor heterogeneity by comparing genetic profiles from multiple metastatic lesions and LBx samples. Eight patients from the Augsburger Longitudinal Plasma Study with various types of cancer provided 56 postmortem tissue samples, which were compared against pre-mortem LBx-derived circulating-free DNATumor heterogeneity encompasses genetic, epigenetic, and phenotypic diversity, impacting treatment response and resistance. Spatial heterogeneity occurs both inter- and intra-lesionally, while temporal heterogeneity results from clonal evolution. High-throughput technologies like next-generation sequencing (NGS) enhance tumor characterization, but conventional biopsies still do not adequately capture genetic heterogeneity. Liquid biopsy (LBx), analyzing circulating tumor DNA (ctDNA), provides a minimally invasive alternative, offering real-time tumor evolution insights and identifying resistance mutations overlooked by tissue biopsies. This study evaluates the capability of LBx to capture tumor heterogeneity by comparing genetic profiles from multiple metastatic lesions and LBx samples. Eight patients from the Augsburger Longitudinal Plasma Study with various types of cancer provided 56 postmortem tissue samples, which were compared against pre-mortem LBx-derived circulating-free DNA sequenced by NGS. Tissue analyses revealed significant mutational diversity (4-12 mutations per patient, VAFs: 1.5-71.4%), with distinct intra- and inter-lesional heterogeneity. LBx identified 51 variants (4-17 per patient, VAFs: 0.2-31.1%), which overlapped with mutations from the tissue samples by 33-92%. Notably, 22 tissue variants were absent in LBx, whereas 18 LBx-exclusive variants were detected (VAFs: 0.2-2.8%). LBx effectively captures tumor heterogeneity, but should be used in conjunction with tissue biopsies for comprehensive genetic profiling.show moreshow less

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Metadaten
Author:Tatiana Mögele, Kathrin Hildebrand, Aziz Sultan, Sebastian Sommer, Lukas Rentschler, Maria Kling, Irmengard Sax, Matthias SchlesnerORCiDGND, Bruno MärklORCiDGND, Martin TrepelGND, Maximilian SchmutzORCiD, Rainer ClausORCiDGND
URN:urn:nbn:de:bvb:384-opus4-1247105
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/124710
ISSN:1422-0067OPAC
Parent Title (English):International Journal of Molecular Sciences
Publisher:MDPI AG
Type:Article
Language:English
Date of first Publication:2025/08/06
Publishing Institution:Universität Augsburg
Release Date:2025/08/22
Volume:26
Issue:15
First Page:7614
DOI:https://doi.org/10.3390/ijms26157614
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Medizinische Fakultät
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Biomedizinische Informatik, Data Mining und Data Analytics
Medizinische Fakultät / Universitätsklinikum
Medizinische Fakultät / Lehrstuhl für Allgemeine und Spezielle Pathologie
Medizinische Fakultät / Lehrstuhl für Innere Medizin mit Schwerpunkt Hämatologie und Onkologie
Medizinische Fakultät / Professur für personalisierte Tumormedizin und molekulare Onkologie
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Licence (German):CC-BY 4.0: Creative Commons: Namensnennung (mit Print on Demand)