A blood test read the genetic type of a lymphoma without a biopsy, detected disease left behind better than scans did, and spotted the change from a slow lymphoma into an aggressive one before it showed.
Scherer, Kurtz, Alizadeh and Diehn applied cancer personalised profiling by deep sequencing to tumour biopsies and cell-free DNA from 92 lymphoma patients and 24 healthy subjects. The results set out most of what circulating tumour DNA can do in this disease.
At diagnosis the amount of circulating tumour DNA correlated strongly with clinical indices and independently predicted outcome. Genotyping the plasma classified transcriptionally defined tumour subtypes, including the cell of origin of diffuse large B-cell lymphoma, directly from blood. Tracking multiple somatic mutations at once outperformed immunoglobulin sequencing and radiographic imaging for detecting minimal residual disease, and identified emergent resistance mutations to targeted therapies without a biopsy. Distinct patterns of clonal evolution separated follicular lymphomas that stayed indolent from those that transformed into diffuse large B-cell lymphoma, which raises the possibility of predicting histological transformation non-invasively.
That last finding is the one with the most direct consequence for patients, because transformation is the event that turns a disease people live with into one that can kill quickly, and it is currently found only by re-biopsying someone who has already deteriorated.
The paper that established lymphoma as the solid-tumour field where circulating tumour DNA works best, because the mutations are many and the tumour sheds. It underpins the response-adapted trial designs now being built on molecular rather than radiographic response.
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Shares Cell of origin (GCB vs ABC), Next-generation sequencing (NGS), Whole-exome & whole-genome sequencing, Biomarkers are not validated or standardised and the tag lymphoma-evidence.
Shares Cell of origin (GCB vs ABC), Next-generation sequencing (NGS), Whole-exome & whole-genome sequencing, Biomarkers are not validated or standardised and the tag lymphoma-evidence.
Shares Cell of origin (GCB vs ABC), Next-generation sequencing (NGS), Whole-exome & whole-genome sequencing, Biomarkers are not validated or standardised and the tag lymphoma-evidence.
Shares Cell of origin (GCB vs ABC), Next-generation sequencing (NGS), Whole-exome & whole-genome sequencing, Biomarkers are not validated or standardised and the tag lymphoma-evidence.
Shares Cell of origin (GCB vs ABC), Biomarkers are not validated or standardised, Lymphoma roadmap: from a jaw tumour in Uganda and the first human cancer virus to gene-expression subtypes, PET-adapted chemotherapy, CAR-T cells, bispecific antibodies and the genetics-directed trials now recruiting, Diffuse large B-cell lymphoma and the tag lymphoma-evidence.
Shares Cell of origin (GCB vs ABC), Biomarkers are not validated or standardised, Lymphoma roadmap: from a jaw tumour in Uganda and the first human cancer virus to gene-expression subtypes, PET-adapted chemotherapy, CAR-T cells, bispecific antibodies and the genetics-directed trials now recruiting, Diffuse large B-cell lymphoma and the tag lymphoma-evidence.
Shares Cell of origin (GCB vs ABC), Biomarkers are not validated or standardised, Lymphoma roadmap: from a jaw tumour in Uganda and the first human cancer virus to gene-expression subtypes, PET-adapted chemotherapy, CAR-T cells, bispecific antibodies and the genetics-directed trials now recruiting, Diffuse large B-cell lymphoma and the tag lymphoma-evidence.
Shares Cell of origin (GCB vs ABC), Biomarkers are not validated or standardised, Lymphoma roadmap: from a jaw tumour in Uganda and the first human cancer virus to gene-expression subtypes, PET-adapted chemotherapy, CAR-T cells, bispecific antibodies and the genetics-directed trials now recruiting, Diffuse large B-cell lymphoma and the tag lymphoma-evidence.