ReviewClinical and experimental medicine2021
Tumor-resident adenosine-producing mesenchymal stem cells as a potential target for cancer treatment.
Review in Clinical and experimental medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.
- Unmasking the Metabolite Signature of Bladder Cancer: A Systematic Review.International journal of molecular sciences · 2024Pooled it
- Extracellular Adenosine in Gastric Cancer: The Role of GCSCs.International journal of molecular sciences · 2025Article
- Development of a hydrogel-based three-dimensional (3D) glioblastoma cell lines culture as a model system for CD73 inhibitor response study.Biomedical engineering online · 2024Article
- Extracellular adenosine oppositely regulates the purinome machinery in glioblastoma and mesenchymal stem cells.IUBMB life · 2024Article
- Human bone marrow mesenchymal stem cell-driven LncRNA PTCSC3 upregulation within lung adenocarcinoma cells reduces erlotinib resistance by mitigating Wnt/β-Catenin pathway.American journal of cancer research · 2024Article
- Prognostic significance of NT5E/CD73 in neuroblastoma and its function in CSC stemness maintenance.Cell biology and toxicology · 2023Article
- An overview of current therapeutic strategies for glioblastoma and the role of CD73 as an alternative curative approach.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2022Review
- EGFR-targeted bacteriophage lambda penetrates model stromal and colorectal carcinoma tissues, is taken up into carcinoma cells, and interferes with 3-dimensional tumor formation.Frontiers in immunology · 2022Article
- Potentiating Cancer Immune TherapyFrontiers in cell and developmental biology · 2022Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The development of new therapies based on tumor biology is one of the main topics in cancer treatment. In this regard, investigating the microenvironment and cellular composition of the tumor is of particular interest. Mesenchymal stem cells (MSCs) are a major group of cells in the tumor tissue and play a critical role in tumor growth and development. Investigating the mechanisms by which MSCs influence tumor growth and progression is very useful in establishing new therapeutic approaches. MSCs have some immunological capacities, including anti-inflammatory, immune-regulatory, and immune-suppressive abilities, which help the tumor growth in the inflammatory condition. They can suppress the proliferation and activation of CD4 + T cells and direct them toward the regulatory phenotype through the release of some factors such as indoleamine 2,3-dioxygenase, prostaglandin E2, and HO-1, PD-1 ligands (PD-L1 and PD-L2) and promote tolerance and apoptosis. Besides, these cells are able to produce adenosine. Adenosine has a key role in controlling the immune system by signaling through receptors located on the surface of immune cells. It plays a very essential role in tumor growth and progression. In the present review, we investigate and introduce adenosine-producing mesenchymal stem cells as a potential target for cancer treatment.
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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.