Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Small ubiquitin-like modifier (SUMO)ylation is one of the posttranslational modifications and is implicated in many tumor types. Modulation of SUMOylation can affect tumor progression, but the underlying mechanisms remain unclear. Here, we show that, for the first time, in uveal melanoma (UM), the most common intraocular malignancy in adults, global SUMOylation is upregulated and participates in tumor growth. Inhibition of SUMOylation in UM is sufficient to reduce tumor growth both in vitro and in vivo. Furthermore, we found that retinoblastoma protein (Rb) is a target protein and a critical downstream effector of the upregulated SUMOylation activity in UM. Increased SUMOylation of the Rb protein leads to its hyperphosphorylation and inactivation in UM cells, promoting UM cell proliferation. In summary, our results provide novel insight into the mechanism underlying SUMOylation-regulated tumor growth in UM.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8819297PMC
http://dx.doi.org/10.1111/cas.15223DOI Listing

Publication Analysis

Top Keywords

tumor growth
12
hyperphosphorylation inactivation
8
uveal melanoma
8
sumoylation
7
tumor
5
sumoylation regulates
4
regulates hyperphosphorylation
4
inactivation uveal
4
melanoma small
4
small ubiquitin-like
4

Similar Publications

Despite advancements in systemic therapy, the mortality rate for patients with metastatic melanoma remains around 70%, underscoring the imperative for alternative treatment strategies. Through the establishment of a chemoresistant melanoma model and a subsequent drug investigation, we have identified pacritinib, a medication designed for treating myelofibrosis and severe thrombocytopenia, as a potential candidate to overcome resistance to melanoma therapy. Our research reveals that pacritinib, administered at clinically achievable concentrations, effectively targets dacarbazine-resistant melanoma cells by suppressing IRAK1 rather than JAK2.

View Article and Find Full Text PDF

Long non-coding RNAs (lncRNAs) are involved in the numerous types of tumors. The aim of this study is to comprehend the pathological mechanism of lncRNA CASC19 in ovarian cancer. CASC19, miR-761 and CBX2 expression in the samples was quantitatively detected by real-time quantitative polymerase chain reaction (RT-qPCR) reaction.

View Article and Find Full Text PDF

Nanomedicine-Mediated Therapies to Target Cancer Stem Cells: An Emerging Technology.

Crit Rev Ther Drug Carrier Syst

January 2025

Department of Biotechnology, School of Chemical and Life Sciences, Jamia Hamdard, New Delhi 110062, India.

Cancer stem cells (CSCs) are a category of cancer cells endowed with the ability to renew themselves, undergo unregulated growth, and exhibit a differentiation capacity akin to that of normal stem cells. CSCs have been linked with tumor metastasis and cancer recurrence due to their ability to elude immune monitoring. As a result, targeting CSCs specifically may improve the efficacy of cancer therapy.

View Article and Find Full Text PDF

Background: Meningioma en plaque (MEP) is a rare subtype of meningioma with a carpet-like growth pattern, often causing hyperostosis. Even rarer is the presentation of bilateral MEP posing diagnostic and therapeutic challenges. Management of MEP usually entails early complete resection.

View Article and Find Full Text PDF

An efficient and flexible framework for inferring global sensitivity of agent-based model parameters.

PLoS Comput Biol

September 2025

Program of Computational Sciences, Bard College, Annandale-on-Hudson, New York, United States of America.

Agent-based models (ABMs) have become essential tools for simulating complex biological, ecological, and social systems where emergent behaviors arise from the interactions among individual agents. Quantifying uncertainty through global sensitivity analysis is crucial for assessing the robustness and reliability of ABM predictions. However, most global sensitivity methods demand substantial computational resources, making them impractical for highly complex models.

View Article and Find Full Text PDF