Evidence map›Paper›PMID 40748441›Full record

ArticleBreast cancer research and treatment2025

Prediction of upstaging in DCIS: the dominant role of pathological over imaging risk factors.

Sunhyung Choi, Bombi Park, Eun-Gyeong Lee, Seeyoun Lee, Han-Sung Kang, So-Youn Jung, Dong-Eun Lee, Jai-Hong Han

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

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0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Weight change and diabetes risk following breast cancer: a nationwide cohort study.Journal of cancer survivorship : research and practice · 2025
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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Sunhyung ChoiDepartment of Surgery, National Health Insurance Service Ilsan Hospital, Goyang, South Korea.
Bombi ParkFlower Women's Hospital, Goyang, South Korea.
Eun-Gyeong LeeDepartment of Surgery, Center for Breast Cancer, National Cancer Center, Goyang, South Korea.
Seeyoun LeeDepartment of Surgery, Center for Breast Cancer, National Cancer Center, Goyang, South Korea.
Han-Sung KangDepartment of Surgery, Center for Breast Cancer, National Cancer Center, Goyang, South Korea.
So-Youn JungDepartment of Surgery, Center for Breast Cancer, National Cancer Center, Goyang, South Korea.
Dong-Eun LeeBiostatistics Collaboration Team, Research Core Center, Research Institute, National Cancer Center, Goyang, 10408, Gyeonggi-do, South Korea.
Jai-Hong HanDepartment of Surgery, Center for Breast Cancer, National Cancer Center, Goyang, South Korea. 13154@ncc.re.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeDuctal carcinoma in situ (DCIS) is a non-invasive breast cancer with variable risk of upstaging to invasive carcinoma. Accurate preoperative risk stratification is critical to guide management decisions and minimize overtreatment. This study aimed to identify clinicopathological and imaging predictors of DCIS upstaging to invasive cancer.

methodsWe conducted a retrospective analysis of 701 patients diagnosed with DCIS, among whom 200 (28.5%) were upstaged to microinvasive or invasive carcinoma. Logistic regression was used to evaluate the association between upstaging and various factors, including tumor size, nuclear grade, comedo necrosis, progesterone receptor (PR) negativity, human epidermal growth factor receptor 2 (HER2) overexpression, and mammographic findings.

resultsTumor size > 5 cm, comedo necrosis, PR negativity, and mammographic microcalcifications were independent predictors of upstaging. While HER2 overexpression was significant in univariate analysis, it was not retained in the multivariate model. Non-mass lesions on ultrasound and magnetic resonance imaging (MRI) were not significant predictors.

conclusionIntegrating these markers into preoperative risk stratification models may improve individualized treatment planning and reduce overtreatment in patients with DCIS.

Indexed as

Breast NeoplasmsCarcinoma, Intraductal, NoninfiltratingAdultAgedAged, 80 and overBiomarkers, TumorErb-b2 Receptor Tyrosine KinasesFemaleHumansMagnetic Resonance ImagingMammographyMiddle AgedNeoplasm GradingNeoplasm StagingReceptors, ProgesteroneRetrospective StudiesBiomarkers, TumorERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesReceptors, ProgesteroneDuctal carcinoma in situ (DCIS)HER2 overexpressionMammographic microcalcificationsPR negativityRisk stratificationUpstaging

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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.