ReviewInternational journal of molecular sciences2023
Molecular Mechanisms Driven by MT4-MMP in Cancer Progression.
Review in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
9 citing papers in PubMed, 10 citations in OpenAlex.
- A guide to the types, structures, and multifaceted functions of matrix metalloproteinases in cancer.The FEBS journal · 2026Review
- Photodynamic Therapy Targeting Matrix Metalloproteases in Cancer: Standpoint for an Innovative Anticancer Strategy.Current issues in molecular biology · 2026Review
- Role of Mesenchymal Markers in Colorectal Cancer Metastasis.Molecular biology reports · 2025Review
- Immunotyping of thyroid cancer for clinical outcomes and implications.Cancer immunology, immunotherapy : CII · 2025Article
- Stage-Specific Tumoral Gene Expression Profiles of Black and White Patients with Colon Cancer.Annals of surgical oncology · 2025Article
- Extracellular matrix dysregulation in aging, calcification, and cancer diseases: insights into cellular senescence, inflammation, and novel therapeutic strategies.International journal of biological sciences · 2025Review
- SH3GL2 and MMP17 as lung adenocarcinoma biomarkers: a machine-learning based approach.Biochemistry and biophysics reports · 2024Article
- Identification and validation of matrix metalloproteinase hub genes as potential biomarkers for Skin Cutaneous Melanoma.Frontiers in oncology · 2024Article
- Recent Updates on the Therapeutic Prospects of Reversion-Inducing Cysteine-Rich Protein with Kazal Motifs (RECK) in Liver Injuries.International journal of molecular sciences · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 4 institutions in 2 countries.
Funding
Abstract
MT4-MMP (or MMP-17) belongs to the membrane-type matrix metalloproteinases (MT-MMPs), a distinct subset of the MMP family that is anchored to the cell surface, in this case by a glycosylphosphatidylinositol (GPI) motif. Its expression in a variety of cancers is well documented. However, the molecular mechanisms by which MT4-MMP contributes to tumor development need further investigation. In this review, we aim to summarize the contribution of MT4-MMP in tumorigenesis, focusing on the molecular mechanisms triggered by the enzyme in tumor cell migration, invasiveness, and proliferation, in the tumor vasculature and microenvironment, as well as during metastasis. In particular, we highlight the putative substrates processed and signaling cascades activated by MT4-MMP that may underlie these malignancy processes and compare this with what is known about its role during embryonic development. Finally, MT4-MMP is a relevant biomarker of malignancy that can be used for monitoring cancer progression in patients as well as a potential target for future therapeutic drug development.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.