ArticleCell cycle (Georgetown, Tex.)2015
HMGA1-pseudogene expression is induced in human pituitary tumors.
Article in Cell cycle (Georgetown, Tex.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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Who cites it
35 citing papers in PubMed, 52 citations in OpenAlex.
- Complicated crosstalk between HMGA and non-coding RNAs modulates hallmarks of cancer.Cancer cell international · 2025Review
- Pseudogenes in the carcinogenesis: epithelial-to-mesenchymal transition process and cancer initiating cells.Reports of practical oncology and radiotherapy : journal of Greatpoland Cancer Center in Poznan and Polish Society of Radiation Oncology · 2025Review
- A pan-cancer analysis of pituitary tumor-transforming 3, pseudogene.American journal of translational research · 2023Article
- Critical role of the high mobility group A proteins in hematological malignancies.Hematological oncology · 2022Review
- Pseudogenes and Liquid Phase Separation in Epigenetic Expression.Frontiers in oncology · 2022Review
- High Mobility Group A1 (HMGA1): Structure, Biological Function, and Therapeutic Potential.International journal of biological sciences · 2022Review
- Enhancing Gonadotrope Gene Expression Through Regulatory lncRNAs.Endocrinology · 2021Review
- TheCell cycle (Georgetown, Tex.) · 2020Article
- Characterization ofCell cycle (Georgetown, Tex.) · 2020Article
- Complex Analysis of Retroposed Genes' Contribution to Human Genome, Proteome and Transcriptome.Genes · 2020Article
- HMGA1-pseudogene7 transgenic mice develop B cell lymphomas.Scientific reports · 2020Article
- RPSAP52 lncRNA Inhibits p21Waf1/CIP Expression by Interacting With the RNA Binding Protein HuR.Oncology research · 2020Article
- High Mobility Group A (HMGA): Chromatin Nodes Controlled by a Knotty miRNA Network.International journal of molecular sciences · 2020Review
- Pseudogene-Derived lncRNAs and Their miRNA Sponging Mechanism in Human Cancer.Frontiers in cell and developmental biology · 2020Review
- Re-recognition of pseudogenes: From molecular to clinical applications.Theranostics · 2020Review
- High Expression of Pseudogene PTTG3P Indicates a Poor Prognosis in Human Breast Cancer.Molecular therapy oncolytics · 2019Article
- Review
- RPSAP52 lncRNA is overexpressed in pituitary tumors and promotes cell proliferation by acting as miRNA sponge for HMGA proteins.Journal of molecular medicine (Berlin, Germany) · 2019Article
- Overexpression ofGenes · 2019Article
- HMGA1 in cancer: Cancer classification by location.Journal of cellular and molecular medicine · 2019Review
Corrections and comments
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Authors and funding
9 authors at 7 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Numerous studies have established that High Mobility Group A (HMGA) proteins play a pivotal role on the onset of human pituitary tumors. They are overexpressed in pituitary tumors, and, consistently, transgenic mice overexpressing either the Hmga1 or the Hmga2 gene develop pituitary tumors. In contrast with HMGA2, HMGA1 overexpression is not related to any rearrangement or amplification of the HMGA1 locus in these tumors. We have recently identified 2 HMGA1 pseudogenes, HMGA1P6 and HMGA1P7, acting as competitive endogenous RNA decoys for HMGA1 and other cancer related genes. Here, we show that HMGA1 pseudogene expression significantly correlates with HMGA1 mRNA levels in growth hormone and nonfunctioning pituitary adenomas likely inhibiting the repression of HMGA1 through microRNAs action. According to our functional studies, these HMGA1 pseudogenes enhance the proliferation and migration of the mouse pituitary tumor cell line, at least in part, through their upregulation. Our results point out that the overexpression of HMGA1P6 and HMGA1P7 could contribute to increase HMGA1 levels in human pituitary tumors, and then to pituitary tumorigenesis.
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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.