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Detection and Monitoring of Tumor Associated Circulating DNA in Patient Biofluids
Published on: June 8, 2019
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Circulating tumor DNA assisting lymphoma genetic feature profiling and identification
Hongbiao Wang1, Zhao Wang2, Sujuan Zhu1
1Medical Oncology Session No.1, Cancer Hospital of Shantou University Medical College, Shantou, China.
Annals of Hematology
|July 16, 2024
Summary
Circulating tumor DNA (ctDNA) offers a viable alternative to tissue biopsies for comprehensive genomic profiling and disease surveillance in lymphomas. This blood-based test accurately captures genetic features and monitors treatment response in classic Hodgkin lymphoma, primary mediastinal large B-cell lymphoma, and diffuse large B-cell lymphoma.
Area of Science:
- Oncology
- Genetics
- Molecular Diagnostics
Background:
- Lymphoma tissue biopsies present challenges in capturing comprehensive genetic features due to accessibility and tumor heterogeneity.
- Circulating tumor DNA (ctDNA) presents a promising non-invasive alternative for genomic analysis.
Purpose of the Study:
- To assess the utility of ctDNA for genomic profiling in classic Hodgkin lymphoma (cHL), primary mediastinal large B-cell lymphoma (PMBCL), and diffuse large B-cell lymphoma (DLBCL).
- To evaluate ctDNA for disease surveillance and monitoring treatment response in these lymphoma subtypes.
Main Methods:
- Next-generation sequencing of 475 genes was performed on tumor tissue and/or liquid biopsies from 49 cHL, 32 PMBCL, and 74 DLBCL patients.
- Concordance analysis between ctDNA and tissue-based genetic aberrations was conducted.
- ctDNA mutational landscapes were analyzed, and ctDNA dynamics were correlated with treatment response and radiological progression.
Main Results:
- ctDNA demonstrated high concordance with tissue samples across cHL (78%), PMBCL (84%), and DLBCL (78%).
- ctDNA detected unique mutations and higher variant allele frequencies in cHL compared to tissue biopsies.
- Distinct genomic alterations, including STAT6, SOCS1, BTG2, and PIM1, were identifiable via ctDNA.
- ctDNA dynamics correlated with treatment response and could predict relapse before imaging.
Conclusions:
- Genomic profiling of lymphomas using ctDNA is highly concordant with traditional tissue biopsy methods.
- ctDNA is a valuable tool for lymphoma surveillance and holds potential for guiding treatment decisions.

