Evidence map›Paper›PMID 39890753›Full record

ArticleBreast cancer (Tokyo, Japan)2025

Importance of circulating tumor DNA analysis at diagnosis in early triple-negative breast cancer patients.

Min-Seung Park, Eun Hye Cho, Youngjin Youn, In-Gu Do, Hee-Yeon Woo, Hyosoon Park, Eun Young Kim, Min-Jung Kwon

Abstract read
PubMed Publisher
In one paragraph

Article in Breast cancer (Tokyo, Japan), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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

8 authors.

Min-Seung ParkDepartment of Laboratory Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, 29, Saemunan-ro, Jongno-gu, Seoul, 03181, Republic of Korea.ORCID http://orcid.org/0000-0002-4482-3098
Eun Hye ChoDepartment of Laboratory Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, 29, Saemunan-ro, Jongno-gu, Seoul, 03181, Republic of Korea.ORCID http://orcid.org/0000-0002-9328-9389
Youngjin YounDepartment of Laboratory Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, 29, Saemunan-ro, Jongno-gu, Seoul, 03181, Republic of Korea.ORCID http://orcid.org/0009-0003-1782-2262
In-Gu DoDepartment of Pathology, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0001-7832-7116
Hee-Yeon WooDepartment of Laboratory Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, 29, Saemunan-ro, Jongno-gu, Seoul, 03181, Republic of Korea.ORCID http://orcid.org/0000-0002-1154-3137
Hyosoon ParkDepartment of Laboratory Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, 29, Saemunan-ro, Jongno-gu, Seoul, 03181, Republic of Korea.ORCID http://orcid.org/0000-0002-5400-4205
Eun Young KimDepartment of Surgery, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, 29, Saemunan-ro, Jongno-gu, Seoul, 03181, Republic of Korea. gimo.kim@samsung.com.ORCID http://orcid.org/0000-0002-5816-6519
Min-Jung KwonDepartment of Laboratory Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, 29, Saemunan-ro, Jongno-gu, Seoul, 03181, Republic of Korea. mjkkmd@gmail.com.ORCID http://orcid.org/0000-0002-2372-0700

Funding

National Research Foundation of Korea 2021R1A2C2011361
6 · The paper itself

Abstract

backgroundCirculating tumor DNA (ctDNA) enables non-invasive evaluation and is considered a promising tool for diagnosis, treatment selection, risk stratification, and disease monitoring. However, while the utility of ctDNA has been demonstrated in advanced-stage cancers, its detection in early breast cancer (EBC) remains limited. This study investigated the characteristics of EBC patients associated with higher ctDNA detectability.

methodsA total of 101 patients with EBC were enrolled. Formalin-fixed paraffin-embedded samples (FFPEs) were obtained from biopsy tissue, and plasma samples were collected before and after neoadjuvant chemotherapy (NAC). Forty-seven breast cancer-related genes were analyzed using next-generation sequencing. The diagnostic performance of ctDNA was evaluated, and logistic regression analyses were conducted to assess the impact of clinical and molecular factors on ctDNA status.

resultsThe most frequently identified gene was TP53 (FFPE, 66.7%; ctDNA, 46.4%), followed by PIK3CA (FFPE, 36.2%; ctDNA, 17.4%). The diagnostic performance of the three most common genes showed a sensitivity range of 11.1-58.7%, specificity of 78.3-100%, and diagnostic accuracy of 65.2-78.3%. The triple-negative breast cancer (TNBC) subtype exhibited the strongest association with ctDNA detection (odds ratio [OR] 209.50, p = 0.005) in multivariate analysis. Also, those who exhibited ctDNA clearance after NAC had a higher pathological complete response rate compared to those without clearance (38.5% vs. 11.1%, p = 0.238).

conclusionsOur study highlights that ctDNA analysis can complement genetic testing from a single tissue biopsy in breast cancer patients. Furthermore, ctDNA analysis may be particularly important in patients with TNBC.

Indexed as

Biomarkers, TumorCirculating Tumor DNATriple Negative Breast NeoplasmsAdultAgedClass I Phosphatidylinositol 3-KinasesEarly Detection of CancerFemaleHigh-Throughput Nucleotide SequencingHumansMiddle AgedNeoadjuvant TherapySensitivity and SpecificityTumor Suppressor Protein p53Biomarkers, TumorCirculating Tumor DNAClass I Phosphatidylinositol 3-KinasesPIK3CA protein, humanTP53 protein, humanTumor Suppressor Protein p53Breast cancerCirculating tumor DNALiquid biopsyTP53Triple-negative breast cancer

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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.