Evidence map›Paper›PMID 36788595›Full record

Observational studyBreast cancer research : BCR2023

Diagnostic accuracy of a three-protein signature in women with suspicious breast lesions: a multicenter prospective trial.

Eun-Shin Lee, Yumi Kim, Hee-Chul Shin, Ki-Tae Hwang, Junwon Min, Min Kyoon Kim, SooKyung Ahn, So-Youn Jung, Hyukjai Shin, MinSung Chung and 6 more

Abstract readObservational StudyMulticenter Study
In one paragraph

Observational study in Breast cancer research : BCR, 2023. 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. Article
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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

16 authors.

Eun-Shin LeeDivision of Breast and Endocrine Surgery, Department of Surgery, Korea University Anam Hospital, Korea University College of Medicine, Seoul, Republic of Korea.
Yumi KimDivision of Breast Surgery, Cha Gangnam Medical Center, CHA University School of Medicine, Seoul, Republic of Korea.
Hee-Chul ShinDepartment of Surgery, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Ki-Tae HwangDepartment of Surgery, Seoul National University College of Medicine, Seoul Metropolitan Government Seoul National University Boramae Medical Center, Seoul, Republic of Korea.
Junwon MinDepartment of Surgery, Dankook University College of Medicine, Cheonan, Republic of Korea.
Min Kyoon KimDepartment of Surgery, Chung-Ang University College of Medicine, Seoul, Republic of Korea.
SooKyung AhnDepartment of Surgery, Breast and Thyroid Center, Kangnam Sacred Heart Hospital, Hallym University, Seoul, Republic of Korea.
So-Youn JungCenter for Breast Cancer, National Cancer Center, Goyang, Republic of Korea.
Hyukjai ShinBreast and Thyroid Care Center, Myongji Hospital, Goyang, Republic of Korea.
MinSung ChungDepartment of Surgery, Hanyang University College of Medicine, Seoul, Republic of Korea.
Tae-Kyung YooDepartment of Surgery, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Seungpil JungDivision of Breast and Endocrine Surgery, Department of Surgery, Korea University Hospital, Korea University College of Medicine, Seoul, Republic of Korea.
Sang Uk WooDepartment of Surgery, Korea University College of Medicine, Seoul, Republic of Korea.
Ju-Yeon KimDepartment of Surgery, Gyeongsang National University School of Medicine and Gyeongsang National University Hospital, Jinju, Republic of Korea.
Dong-Young NohDivision of Breast Surgery, Cha Gangnam Medical Center, CHA University School of Medicine, Seoul, Republic of Korea.
Hyeong-Gon MoonDepartment of Surgery, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea. moonhg74@snu.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMammography screening has been proven to detect breast cancer at an early stage and reduce mortality; however, it has low accuracy in young women or women with dense breasts. Blood-based diagnostic tools may overcome the limitations of mammography. This study assessed the diagnostic performance of a three-protein signature in patients with suspicious breast lesions.

findingsThis trial (MAST; KCT0004847) was a prospective multicenter observational trial. Three-protein signature values were obtained using serum and plasma from women with suspicious lesions for breast malignancy before tumor biopsy. Additionally, blood samples from women who underwent clear or benign mammography were collected for the assays. Among 642 participants, the sensitivity, specificity, and overall accuracy values of the three-protein signature were 74.4%, 66.9%, and 70.6%, respectively, and the concordance index was 0.698 (95% CI 0.656, 0.739). The diagnostic performance was not affected by the demographic features, clinicopathologic characteristics, and co-morbidities of the participants.

conclusionsThe present trial showed an accuracy of 70.6% for the three-protein signature. Considering the value of blood-based biomarkers for the early detection of breast malignancies, further evaluation of this proteomic assay is warranted in larger, population-level trials. This Multi-protein Assessment using Serum to deTermine breast lesion malignancy (MAST) was registered at the Clinical Research Information Service of Korea with the identification number of KCT0004847 ( https://cris.nih.go.kr ).

Indexed as

Breast NeoplasmsFemaleHumansMammographyProspective StudiesProteomicsSensitivity and SpecificityBreast cancerEarly detectionProspective trialProteomic analysisThree-protein signature

Identifiers

PMID36788595
PMCPMC9930228

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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.