ArticleBMC cancer2015
Gene expression profiling leads to discovery of correlation of matrix metalloproteinase 11 and heparanase 2 in breast cancer progression.
Article in BMC cancer, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed, 41 citations in OpenAlex.
- Heparanase 2 (Hpa2) protects the exocrine pancreas from damages of Western diet and pancreatic cancer.International journal of biological sciences · 2026Article
- Current understanding of heparanase 2 regulation, a non-heparanase.Biochemical Society transactions · 2025Article
- Tumor- and host-derived heparanase-2 (Hpa2) attenuates tumorigenicity: role of Hpa2 in macrophage polarization and BRD7 nuclear localization.Cell death & disease · 2024Article
- Nuclear localization of heparanase 2 (Hpa2) attenuates breast carcinoma growth and metastasis.Cell death & disease · 2024Article
- Matrix Metalloproteinase 11 Promotes Migration and Invasion of Colorectal Cancer by Elevating Slug Protein.International journal of medical sciences · 2024Article
- Heparanase 2 (Hpa2)- a new player essential for pancreatic acinar cell differentiation.Cell death & disease · 2023Article
- Heparanase-A single protein with multiple enzymatic and nonenzymatic functions.Proteoglycan research · 2023Review
- Matrix metalloproteinase 11 (MMP11) in macrophages promotes the migration of HER2-positive breast cancer cells and monocyte recruitment through CCL2-CCR2 signaling.Laboratory investigation; a journal of technical methods and pathology · 2022Article
- Different Expression Levels of DLK2 Inhibit NOTCH Signaling and Inversely Modulate MDA-MB-231 Breast Cancer Tumor Growth In Vivo.International journal of molecular sciences · 2022Article
- Induction of heparanase 2 (Hpa2) expression by stress is mediated by ATF3.Matrix biology : journal of the International Society for Matrix Biology · 2022Article
- A gene expression signature in HER2+ breast cancer patients related to neoadjuvant chemotherapy resistance, overall survival, and disease-free survival.Frontiers in genetics · 2022Article
- Article
- Hypermethylation of heparanase 2 promotes colorectal cancer proliferation and is associated with poor prognosis.Journal of translational medicine · 2021Article
- LINC00467, Driven by Copy Number Amplification and DNA Demethylation, Is Associated with Oxidative Lipid Metabolism and Immune Infiltration in Breast Cancer.Oxidative medicine and cellular longevity · 2021Article
- miR-15b-5p Promotes Growth and Metastasis in Breast Cancer by Targeting HPSE2.Frontiers in oncology · 2020Article
- Elucidating the Consequences of Heparan Sulfate Binding by Heparanase 2.Frontiers in oncology · 2020Article
- Study of Gene Expression Profiles of Breast Cancers in Indian Women.Scientific reports · 2019Article
- Comprehensive characterization of genes associated with the TP53 signal transduction pathway in various tumors.Molecular and cellular biochemistry · 2017Article
- Iron-heme-Bach1 axis is involved in erythroblast adaptation to iron deficiency.Haematologica · 2017Article
- Identification of four prognostic LncRNAs for survival prediction of patients with hepatocellular carcinoma.PeerJ · 2017Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundIn order to identify biomarkers involved in breast cancer, gene expression profiling was conducted using human breast cancer tissues.
methodsTotal RNAs were extracted from 150 clinical patient tissues covering three breast cancer subtypes (Luminal A, Luminal B, and Triple negative) as well as normal tissues. The expression profiles of a total of 50,739 genes were established from a training set of 32 samples using the Agilent Sure Print G3 Human Gene Expression Microarray technology. Data were analyzed using Agilent Gene Spring GX 12.6 software. The expression of several genes was validated using real-time RT-qPCR.
resultsData analysis with Agilent GeneSpring GX 12.6 software showed distinct expression patterns between cancer and normal tissue samples. A group of 28 promising genes were identified with ≥ 10-fold changes of expression level and p-values < 0.05. In particular, MMP11 and HPSE2 were closely examined due to the important roles they play in cancer cell growth and migration. Real-time RT-qPCR analyses of both training and testing sets validated the gene expression profiles of MMP11 and HPSE2.
conclusionsOur findings identified these 2 genes as a novel breast cancer biomarker gene set, which may facilitate the diagnosis and treatment in breast cancer clinical therapies.
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