Evidence map›Paper›PMID 39215119›Full record

Observational studyScientific reports2024

Longitudinal dynamics of circulating tumor DNA for treatment monitoring in patients with breast cancer recurrence.

Tae-Kyung Robyn Yoo, Ji-Young Lee, Hwan Park, Whi-Kyung Cho, Seyeon Jeon, Ha Ra Jun, Sae Byul Lee, Il Yong Chung, Hee Jeong Kim, Beom Seok Ko and 12 more

Abstract readObservational Study
In one paragraph

Observational study in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Clinical utility of longitudinal circulating tumor DNA analysis in metastatic colorectal cancer patients receiving palliative chemotherapy.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2026
    Observational
  2. Review
  3. Article
  4. Review
  5. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

22 authors.

Tae-Kyung Robyn Yoo *Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Ji-Young Lee *Department of Medical Science, Asan Medical Institute of Convergence Science and Technology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.
Hwan ParkAsan Center for Cancer Genome Discovery, Asan Institute for Life Science, Asan Medical Center, Seoul, Republic of Korea.
Whi-Kyung ChoDepartment of Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Seyeon JeonDepartment of Medical Science, Asan Medical Institute of Convergence Science and Technology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.
Ha Ra JunDepartment of Medical Science, Asan Medical Institute of Convergence Science and Technology, University of Ulsan College of Medicine, Asan Medical Center, Seoul, Republic of Korea.
Sae Byul LeeDepartment of Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Il Yong ChungDepartment of Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Hee Jeong KimDepartment of Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Beom Seok KoDepartment of Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Jong Won LeeDepartment of Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Byung Ho SonDepartment of Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Sei-Hyun AhnDepartment of Surgery, Ewha Womens University Mokdong Hospital, Seoul, Republic of Korea.
Jae Ho JeongDepartment of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Jeong Eun KimDepartment of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Jin-Hee AhnDepartment of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Kyung Hae JungDepartment of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Sung-Bae KimDepartment of Oncology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Hee Jin LeeDepartment of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Gyungyub GongDepartment of Pathology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
Jisun KimDepartment of Surgery, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea. jisunkim@amc.seoul.kr.
Sung-Min ChunAsan Center for Cancer Genome Discovery, Asan Institute for Life Science, Asan Medical Center, Seoul, Republic of Korea. smchun@amc.seoul.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prevalence and dynamics of circulating tumor DNA (ctDNA) in patients with breast cancer recurrence or de novo metastatic cancer were examined in a retrospective analysis of a prospective observational cohort. Twenty-three recurrent/metastatic breast cancer cases (8 locoregional, 15 distant metastasis) were enrolled, and sequential plasma samples were obtained. Anchor mutations were selected from the target sequencing of each patient's primary and/or metastatic tumor. An in-house developed assay (UHS assay) was employed for a tumor-informed ctDNA assay during treatment and follow-up. A median of three (range 1-5) anchor mutations per case were applied for ctDNA detection. ctDNA was detected in 14 (63.6%, 14/22) cases at the time of enrollment and 18 (78.5%, 18/23) cases during follow-up. More anchor mutations and higher tumor burden were significantly related to higher ctDNA positive rates (p-value 0.036, 0.043, respectively). The mean enriched variant allele frequency (eVAF) at each time point was significantly higher for stable or progressive disease responses (ANOVA test p-value < 0.001). Eight patients showed an increase in their ctDNA eVAF prior to clinical progression with a mean lead time of 6.2 months (range 1.5-11 months). ctDNA dynamics measured using personalized assay reflected the clinical course of breast cancer recurrence.

Indexed as

Breast NeoplasmsCirculating Tumor DNAMutationNeoplasm Recurrence, LocalAdultAgedBiomarkers, TumorFemaleHumansLongitudinal StudiesMiddle AgedProspective StudiesRetrospective StudiesBiomarkers, TumorCirculating Tumor DNABreast cancerCirculating tumor DNARecurrenceTumor-informedUltrahigh-sensitive assay

Identifiers

PMID39215119
PMCPMC11364657

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.