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Updated: Jul 9, 2025

RhoC GTPase Activation Assay
Published on: August 22, 2010
Integrated analysis identities Rho GTPases related molecular map in patients with gastric carcinoma
Shaowei Ma1, Ying Wang2, Weibo Li1
1Department of Gastrointestinal Surgery, The Second Hospital of Hebei Medical University, Shijiazhuang, 050000, China.
Abstract:
The intricate involvement of Rho GTPases in a multitude of human malignancies and their diverse array of biological functions has garnered substantial attention within the scientific community. However, their expression pattern and potential role in gastric cancer (GC) remain unclear. In this study, we successfully identified two distinct subtypes associated with Rho GTPase-related gene (RGG) through consensus clustering analysis, which exhibited significant disparities in overall survival and the tumor microenvironment. Subsequently, an extensively validated risk model termed RGGscore was meticulously constructed to prognosticate the outcomes of GC patients. This model was further assessed and validated using an external cohort. Notably, the high RGGscore group was indicative of a poorer prognosis. Univariate and multivariate Cox regression analyses unveiled the RGGscore as an autonomous prognostic indicator for GC patients. Subsequent external validation, utilizing two cohorts of patients who underwent immunotherapy, demonstrated a significant correlation between a low RGGscore and improved response to immunotherapy. Additionally, the expression levels of three genes associated with RGGscore were examined using qRT-PCR. Taken together, a pioneering RGGscore model has been successfully established, showcasing its potential efficacy in offering valuable therapeutic guidance for GC.
Insights
Researchers identified two Rho GTPase-related gene (RGG) subtypes in gastric cancer (GC). They developed a validated RGGscore model to predict patient prognosis and immunotherapy response, aiding therapeutic guidance.
Area of Science:
- Oncology
- Molecular Biology
- Genetics
Background:
- Rho GTPases play critical roles in human cancers, but their specific involvement in gastric cancer (GC) is not well understood.
- Understanding the expression patterns and functions of Rho GTPase-related genes (RGGs) is crucial for advancing GC research.
Purpose of the Study:
- To identify distinct molecular subtypes within gastric cancer based on Rho GTPase-related genes.
- To develop and validate a prognostic risk model (RGGscore) for predicting outcomes in gastric cancer patients.
- To evaluate the RGGscore's utility in predicting response to immunotherapy in GC.
Main Methods:
- Consensus clustering analysis was employed to identify Rho GTPase-related gene (RGG) subtypes.
- A risk model (RGGscore) was constructed and validated using independent patient cohorts.
- Univariate and multivariate Cox regression analyses were performed to assess prognostic significance.
- Quantitative real-time PCR (qRT-PCR) was used to examine gene expression levels.
Main Results:
- Two distinct RGG subtypes were identified, showing significant differences in overall survival and tumor microenvironment.
- The developed RGGscore model effectively predicted GC patient prognosis, with a high RGGscore indicating a poorer outcome.
- The RGGscore served as an independent prognostic indicator for GC.
- A low RGGscore was significantly associated with improved response to immunotherapy in external validation cohorts.
Conclusions:
- A novel RGGscore model has been established for gastric cancer, offering potential for improved prognostic prediction.
- The RGGscore demonstrates utility in stratifying patients for immunotherapy, providing valuable therapeutic guidance.
- This study highlights the importance of Rho GTPase-related genes in gastric cancer progression and treatment response.
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