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ArticleCancer reports (Hoboken, N.J.)2025

Potential of Serum ApoC1 as a Noninvasive Biomarker for Breast Cancer Detection and Prognosis: A Prospective Case-Control Study.

Abolfazl Khalafi-Nezhad, Mahdi Barazesh, Ahmad Abdollahi, Negin Kheiri, Marzieh Amani

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Article in Cancer reports (Hoboken, N.J.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Abolfazl Khalafi-NezhadHematology Research Center, Department of Hematology, Medical Oncology and Stem Cell Transplantation, Shiraz University of Medical Sciences, Shiraz, Iran.ORCID 0000-0001-8762-9837
Mahdi BarazeshCellular and Molecular Research Center, Gerash University of Medical Sciences, Gerash, Iran.
Ahmad AbdollahiDepartment of Oncosurgery, Gerash University of Medical Sciences, Gerash, Iran.
Negin KheiriDepartment of Internal Medicine, Shiraz University of Medical Sciences, Shiraz, Iran.
Marzieh AmaniDepartment of Oncosurgery, Gerash University of Medical Sciences, Gerash, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsBreast cancer (BC) is one of the most frequent malignancies. Apolipoprotein C1 (ApoC1) has been known as a promising therapeutic target and valuable prognostic and diagnostic biomarker in cancers. The aim of this study was to explore the diagnostic implication of serum ApoC1 concentration in new cases of BC.

methodsThis prospective case-control study was conducted on 76 new cases of BC patients referred to Amir-al-Momenin Gerash hospital. Subjects in the control group were 15 healthy individuals. The serum concentrations of ApoC1 of the control group and the BC patients were measured by ELISA assay. Data analysis was performed using Student's t-test and one-way analysis of variance (ANOVA) followed by Dunnett's post hoc test.

resultsThe mean age of the BC patients was 49.21 ± 10.42 years. In terms of diagnostic performance, ApoC1 concentration showed a significant down-regulation in female BC patients compared to healthy controls. The receiver operating characteristic (ROC) curve analysis indicated an area under the curve (AUC) of 1.00, demonstrating the excellent diagnostic value of ApoC1 in distinguishing BC patients from healthy individuals. The optimal cutoff value for ApoC1 concentration was determined to be 15.4 mg/dL, with 100% sensitivity, 100% specificity, and 100% accuracy. Furthermore, the prognostic analysis focused on HER2 over-expression patients demonstrated a statistically significant difference in ApoC1 concentration compared to other types of BC. The ROC curve analysis revealed the prognostic performance of ApoC1, with an optimal cutoff value of 5.6 mg/dL, 100% positive predictive value (PPV), and 100% negative predictive value (NPV).

conclusionAccording to the findings of the current study, ApoC1 may be a potential serum biomarker for the diagnosis of BC. Moreover, ApoC1 can be considered a highly accurate prognostic biomarker for BC.

Indexed as

Apolipoprotein C-IBiomarkers, TumorBreast NeoplasmsAdultAgedCase-Control StudiesFemaleHumansMiddle AgedPrognosisProspective StudiesROC CurveAPOC1 protein, humanApolipoprotein C-IBiomarkers, Tumorapolipoprotein C1breast cancerdiagnostic performanceserum biomarker

Identifiers

PMID41071085
PMCPMC12512904

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