Evidence map›Paper›PMID 40304334›Full record

ArticleCurrent medicinal chemistry2025

Comparative Glycoproteomic Analysis of Mouse 4T1 Breast Cancer Model.

Aik-Aun Tan, Yin-Ling Wong, Subash C B Gopinath, Lik Voon Kiew, Sreenivasan Sasidharan, Yeng Chen

Abstract readComparative Study
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In one paragraph

Article in Current medicinal chemistry, 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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2 · The registry

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Aik-Aun TanInstitute for Research in Molecular Medicine (INFORMM), Universiti Sains Malaysia, , Penang, 11800, Malaysia.
Yin-Ling WongDepartment of Oral & Craniofacial Sciences, Faculty of Dentistry, Universiti Malaya, Kuala Lumpur, 50603, Malaysia.
Subash C B GopinathCenter for Global Health Research, Saveetha Medical College & Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), Thandalam, Chennai, 602 105, Tamil Nadu, India.
Lik Voon KiewDepartment of Pharmacology, Faculty of Medicine, University of Malaya, Kuala Lumpur, 50603, Malaysia.
Sreenivasan SasidharanInstitute for Research in Molecular Medicine (INFORMM), Universiti Sains Malaysia, , Penang, 11800, Malaysia.
Yeng ChenDepartment of Oral & Craniofacial Sciences, Faculty of Dentistry, Universiti Malaya, Kuala Lumpur, 50603, Malaysia.

Funding

University of Malaya Research Grants (UMRG) RG454-12HTMUniversity of Malaya (UM) High Impact Research (HIR) MoE, Ministry of Education Malaysia UM.C/625/1/HIR/MOE/DENT/09, UM.C/625/1/HIR/MOHE/MED/16/5
6 · The paper itself

Abstract

backgroundGlycosylation is a post-translational modification process that plays a fundamental role in malignant transformation. Moreover, aberrant glycosylation is known to be associated with cancer progression. Thus, the characterization of cancer-specific protein glycosylation profiles might reveal important diagnostic and/or prognostic biomarkers for cancer.

objectiveIn the present study, we have analysed serum protein and glycoprotein profiles during breast cancer progression using a mouse model. Specifically, 4T1 tumour cells were injected into the mammary fat pad of BALB/c mice to induce tumours.

methodsSera samples were subsequently collected weekly for four weeks and examined using two-dimensional electrophoresis (2D-E) coupled with lectin-based analysis, followed by mass spectrometry.

resultsThis glycoproteomic profiling identified eight differentially expressed proteins, of which alpha-1 protease inhibitor 2, contraption (CON), haptoglobin (HP), and kininogen-1 were significantly up-regulated during the first 4 weeks of tumour progression. Notably, aberrantly N-glycosylated prothrombin was also detected in sera samples from all mice over the 4 weeks post-tumour injection. Additionally, O-glycosylated alpha-2-macroglobulin, CON, and HP were detected in weeks 1 and 2, whereas O-glycosylated alpha-2-HS-glycoprotein and CON were detected on weeks 3 and 4 post-implantation.

conclusionOur findings indicate that the combination of 2D-E with lectin-based chromatography represents an effective approach for identifying prognostic biomarkers for breast cancer.

Indexed as

Breast NeoplasmsGlycoproteinsProteomicsAnimalsBiomarkers, TumorCell Line, TumorDisease Models, AnimalFemaleGlycosylationMiceMice, Inbred BALB CBiomarkers, TumorGlycoproteins4T1 modelBreast cancerglycoproteomicglycosylationhaptoglobin.lectin

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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.