Analytical validation of a circulating tumor DNA assay using PhasED-Seq technology for detecting residual disease in B-cell malignancies

The PhasED-Seq-based MRD assay has strong analytical and clinical performance in B-cell malignancies. Improved ctDNA detection methods such as this may improve patient outcomes through detection of residual disease or early relapse.

Authors

Institutions

Publication Details

Journal
Oncotarget
Published
2025-05-09
DOI
https://doi.org/10.18632/oncotarget.28719
Citations
6
Primary Topic
Cancer Genomics and Diagnostics
Type
article
Field-Weighted Citation Impact
5.62
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analytical validation of a circulating tumor DNA assay using PhasED-Seq technology for detecting residual disease in B-cell malignancies

Sandra Close, Richard D. Hockett, David M. Kurtz, Nina Klimova et al.
6 citations
Oncotarget
Cancer Genomics and Diagnostics
5.62
article

Analytical validation of a circulating tumor DNA assay using PhasED-Seq technology for detecting residual disease in B-cell malignancies

Sandra Close, Richard D. Hockett, David M. Kurtz, Nina Klimova, L Hyland
article en
6 citations

Abstract

The PhasED-Seq-based MRD assay has strong analytical and clinical performance in B-cell malignancies. Improved ctDNA detection methods such as this may improve patient outcomes through detection of residual disease or early relapse.

OncotargetVol. 16(1)
Foresight Science & Technology (United States) (US)
Good health and well-being
Openalex Percentile: Top 4%
Cancer Genomics and Diagnostics
5.62
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.