ArticlePloS one2020
Comparative proteomic analysis of different stages of breast cancer tissues using ultra high performance liquid chromatography tandem mass spectrometer.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- The Urinary Proteome Differs with the Presence and Type of Breast Cancer.Journal of proteome research · 2025Article
- Identification and characterisation of subtype-specific anti-N-CoR OSGEP protease in acute myeloid leukaemia (AML-M5) cell lineage.Biotechnology letters · 2025Article
- Proteomics in Diagnostic Evaluation and Treatment of Breast Cancer: A Scoping Review.Journal of personalized medicine · 2025Review
- Review
- Advancements in biosensors for cancer detection: revolutionizing diagnostics.Medical oncology (Northwood, London, England) · 2024Review
- Exploring Molecular Alterations in Breast Cancer Among Indian Women Using Label-Free Quantitative Serum Proteomics.Biochemistry research international · 2024Article
- Omics-Based Investigations of Breast Cancer.Molecules (Basel, Switzerland) · 2023Review
- Review
- Review
- Unveiling diagnostic and therapeutic strategies for cervical cancer: biomarker discovery through proteomics approaches and exploring the role of cervical cancer stem cells.Frontiers in oncology · 2023Review
- Definition of a novel breast tumor-specific classifier based on secretome analysis.Breast cancer research : BCR · 2022Article
- Review
- Rational Approach to Finding Genes Encoding Molecular Biomarkers: Focus on Breast Cancer.Genes · 2022Article
- Comprehensive analysis of differentially expressed profiles of mRNA, lncRNA, and miRNA of Yili geese ovary at different egg-laying stages.BMC genomics · 2022Article
- Applications of Tandem Mass Spectrometry (MS/MS) in Protein Analysis for Biomedical Research.Molecules (Basel, Switzerland) · 2022Review
- Mutations in exon region of BRCA1-related RING domain 1 gene and risk of breast cancer.Molecular genetics & genomic medicine · 2022Article
- Review
- Clinical Chemistry for Developing Countries: Mass Spectrometry.Annual review of analytical chemistry (Palo Alto, Calif.) · 2021Review
- Review
- Proteomics, Personalized Medicine and Cancer.Cancers · 2021Review
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7 authors.
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Abstract
backgroundBreast cancer is the fifth most prevalent cause of death among women worldwide. It is also one of the most common types of cancer among Malaysian women. This study aimed to characterize and differentiate the proteomics profiles of different stages of breast cancer and its matched adjacent normal tissues in Malaysian breast cancer patients. Also, this study aimed to construct a pertinent protein pathway involved in each stage of cancer.
methodsIn total, 80 samples of tumor and matched adjacent normal tissues were collected from breast cancer patients at Seberang Jaya Hospital (SJH) and Kepala Batas Hospital (KBH), both in Penang, Malaysia. The protein expression profiles of breast cancer and normal tissues were mapped by sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE). The Gel-Eluted Liquid Fractionation Entrapment Electrophoresis (GELFREE) Technology System was used for the separation and fractionation of extracted proteins, which also were analyzed to maximize protein detection. The protein fractions were then analyzed by tandem mass spectrometry (LC-MS/MS) analysis using LC/MS LTQ-Orbitrap Fusion and Elite. This study identified the proteins contained within the tissue samples using de novo sequencing and database matching via PEAKS software. We performed two different pathway analyses, DAVID and STRING, in the sets of proteins from stage 2 and stage 3 breast cancer samples. The lists of molecules were generated by the REACTOME-FI plugin, part of the CYTOSCAPE tool, and linker nodes were added in order to generate a connected network. Then, pathway enrichment was obtained, and a graphical model was created to depict the participation of the input proteins as well as the linker nodes.
resultsThis study identified 12 proteins that were detected in stage 2 tumor tissues, and 17 proteins that were detected in stage 3 tumor tissues, related to their normal counterparts. It also identified some proteins that were present in stage 2 but not stage 3 and vice versa. Based on these results, this study clarified unique proteins pathways involved in carcinogenesis within stage 2 and stage 3 breast cancers.
conclusionsThis study provided some useful insights about the proteins associated with breast cancer carcinogenesis and could establish an important foundation for future cancer-related discoveries using differential proteomics profiling. Beyond protein identification, this study considered the interaction, function, network, signaling pathway, and protein pathway involved in each profile. These results suggest that knowledge of protein expression, especially in stage 2 and stage 3 breast cancer, can provide important clues that may enable the discovery of novel biomarkers in carcinogenesis.
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