Accuracy of ctDNA-based minimal residual disease detection in predicting postoperative recurrence of breast cancer: a meta-analysis

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Publication Details

Journal
Frontiers in Oncology
Published
2026-02-03
DOI
https://doi.org/10.3389/fonc.2026.1735752
Primary Topic
Cancer Genomics and Diagnostics
Type
article
Field-Weighted Citation Impact
0.00
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article

Accuracy of ctDNA-based minimal residual disease detection in predicting postoperative recurrence of breast cancer: a meta-analysis

Jiujiang He, Tian Tian, Hang You
Frontiers in Oncology
Cancer Genomics and Diagnostics
article

Accuracy of ctDNA-based minimal residual disease detection in predicting postoperative recurrence of breast cancer: a meta-analysis

Jiujiang He, Tian Tian, Hang You
article en

Abstract

No abstract available for this paper.
Frontiers in OncologyVol. 16
Chongqing Medical University (CN)
Good health and well-being
Openalex Percentile: Top 71%
Cancer Genomics and Diagnostics
DOIOpen Access PDFOpenAlex
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Accuracy of ctDNA-based minimal residual disease detection in predicting postoperative recurrence of breast cancer: a meta-analysis — Jiujiang He, Tian Tian, et al. · Frontiers in Oncology (2026) | TGRS Research Map | TGRS