ArticleOncology letters2017
The relationship between MMP-2 and MMP-9 expression levels with breast cancer incidence and prognosis.
Article in Oncology letters, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 171 papers, 2 of them syntheses that pooled it.
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Who cites it
171 citing papers in PubMed, 2 syntheses or guidelines pooled it, 292 citations in OpenAlex.
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- Prognostic values of tumoral MMP2 and MMP9 overexpression in breast cancer: a systematic review and meta-analysis.BMC cancer · 2021Pooled it
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- Therapeutic potential of inhibitors of gelatinases MMP-2 and MMP-9 for the treatment of breast cancer.The FEBS journal · 2026Review
- Potential Anticancer Effects of Limonene Associated with Reactive Oxygen Species Generation, Apoptosis Induction, and NF-κB Modulation in Papillary Renal Cell Carcinoma: A Preliminary Study.Current developments in nutrition · 2026Article
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- Research progress on precision targeted therapy strategies for breast cancer based on tumor microenvironment.iScience · 2026Review
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- Hypoxia‑mediated Krebs von den Lungen‑6 expression in breast cancer: Implications for tumor invasion and metastasis.Oncology reports · 2026Article
- Molecular and Immune Mechanisms Governing Cancer Metastasis, Including Dormancy, Microenvironmental Niches, and Tumor-Specific Programs.International journal of molecular sciences · 2026Review
- Genotype-phenotype correlations in breast cancer susceptibility: evaluating MMP-2, TYMS, and eNOS variants in the Jordanian population.Scientific reports · 2026Article
- The protease inhibitor gabexate mesylate targets Raf kinase inhibitor protein and reverses epithelial-mesenchymal transition in triple-negative breast cancer cells.Frontiers in oncology · 2026Article
- Glucose and Lactate, Starters or Intermediates of Cancer Metabolic Rewiring.Advances in experimental medicine and biology · 2026Review
- Advances in Targeting Neutrophil Extracellular Traps as a Promising Approach for Breast Cancer Treatment.Combinatorial chemistry & high throughput screening · 2026Review
111 more citing papers are in PubMed but not listed here.
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The relationship between the expression levels of matrix metalloproteinase-2 (MMP-2) and MMP-9 and breast cancer prognosis was studied. Two breast cancer cell lines (MDA-MB-231 and MCF-7) and one human normal breast cell line (HS578Bst) were investigated. Fluorescence real-time reverse transcription-polymerase chain reaction (RT-PCR) and western blotting were used to detect cellular mRNA and protein MMP-2 and MMP-9 expression levels. Breast cancer tissue samples from 80 patients and tumor-adjacent normal tissue samples from 40 patients were collected, and MMP-2 and MMP-9 expression in these samples were examined using immunohistochemistry (IHC). The relationship of MMP-2 and MMP-9 expression levels with breast cancer patient clinicopathological parameters and prognosis was analyzed. RT-PCR and western blot results showed that MMP-2 and MMP-9 mRNA and protein expression levels were significantly higher in MDA-MB-231 and MCF-7 cells than in HS578Bst cells. A high expression of MMP-2 and MMP-9 was found in 83.75% (67/80) and 78.75% (63/80) of breast cancer tissue samples, respectively. MMP-2 and MMP-9 expression in breast cancer tissues were significantly different from that in tumor-adjacent normal tissues (p<0.01). MMP-2 and MMP-9 expression levels in breast cancer tissues were correlated with lymph node metastasis and tumor staging. Single factor survival analysis showed that MMP-2 and MMP-9 were factors influencing breast cancer prognosis. MMP-2 and MMP-9 are highly expressed in breast cancer tissues and are closely related to lymph node metastasis and tumor staging. MMP-2 and MMP-9 can be used as reference indices for guiding breast cancer prognosis and treatment.
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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.