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Updated: Oct 13, 2025

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
Published on: May 17, 2019
Association Between RSK2 and Clinical Indexes of Primary Breast Cancer: A Meta-Analysis Based on mRNA Microarray Data
Kun Zheng1, Shuo Yao1, Wei Yao1
1Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Abstract:
Background: Although ribosomal protein S6 kinases, 90 kDa, polypeptide 3 (RSK2, RPS6KA3) has been reported to play an important role in cancer cell proliferation, invasion, and migration, including breast cancer, its clinical implication in primary breast cancer patients is not well understood, and there were not many studies to explore the relationship between RSK2 and breast cancer on a clinical level. Methods: A systematic series matrix file search uploaded from January 1, 2008 to November 31, 2017 was undertaken using ArrayExpress and Gene Expression Omnibus (GEO) databases. Search filters were breast cancer, RNA assay, and array assay. Files eligible for inclusion met the following criteria: a) sample capacity is over 100, b) tumor sample comes from unselected patient's primary breast tumor tissue, and c) expression of RSK2 and any clinical parameters of patients were available from the files. We use median as the cutoff value to assess the association between the expression of RSK2 and the clinical indexes of breast cancer patients. Finding: The meta-analysis identified 13 series matrix files from GEO database involving 3,122 samples that come from patients' primary breast cancer tissue or normal tissue. The expression of RSK2 in tumor tissues is lower than that in normal tissues [odds ratio (OR), 0.54; 95% credible interval (CI), 0.44-0.67; Cochran's Q test p = 0.14; I 2 = 41.7%]. Patients with a high expression of RSK2 showed more favorable overall survival [hazard ratio (HR), 0.71; 95% CI, 0.49-0.94; Cochran's Q test p = 0.95; I 2 = 0.0%] and less potential of distant metastasis (OR, 0.59; 95% CI, 0.41-0.87; Cochran's Q test p = 0.88; I 2 = 0.0%) and lymph node infiltration (OR, 0.81; 95% CI, 0.65-0.998; Cochran's Q test p = 0.09; I 2 = 42.8%). Besides, the expression of RSK2 in luminal breast cancer is lower than Cochran's Q test p = 0.06; I 2 = 63.5%). RSK2 overexpression corresponded with higher histological grade (OR, 1.329; 95% CI, 1.03-1.721; Cochran's Q test p = 0.69; I 2 = 0.0%). RSK2 expression is also associated with estrogen receptor (ER) and age. Conclusion: The meta-analysis provides evidence that RSK2 is a potential biomarker in breast cancer patients. The expression of RSK2 is distinctive in different intrinsic subtypes of breast cancer, indicating that it may play an important role in specific breast cancer. Further study is needed to uncover the mechanism of RSK2 in breast cancer. Systematic Review Registration: (website), identifier (registration number).
Insights
Ribosomal protein S6 kinase 2 (RSK2) expression is lower in breast tumors than normal tissue. High RSK2 expression correlates with better survival and less metastasis, suggesting RSK2 is a potential breast cancer biomarker.
Area of Science:
- Oncology
- Molecular Biology
- Genetics
Background:
- Ribosomal protein S6 kinases, 90 kDa, polypeptide 3 (RSK2) is implicated in cancer cell proliferation, invasion, and migration.
- The clinical significance of RSK2 in primary breast cancer remains underexplored.
- Limited studies have investigated the clinical-level relationship between RSK2 and breast cancer.
Purpose of the Study:
- To conduct a meta-analysis exploring the clinical implications of RSK2 expression in primary breast cancer patients.
- To assess the association between RSK2 expression levels and various clinical parameters in breast cancer.
Main Methods:
- Systematic search of ArrayExpress and Gene Expression Omnibus (GEO) databases for relevant breast cancer studies (2008-2017).
- Inclusion criteria: >100 samples, primary breast tumor tissue, available RSK2 expression and clinical data.
- Meta-analysis of 13 series matrix files involving 3,122 samples, using median as the cutoff for RSK2 expression.
Main Results:
- RSK2 expression was lower in tumor tissues compared to normal tissues (OR, 0.54; 95% CI, 0.44-0.67).
- High RSK2 expression was associated with improved overall survival (HR, 0.71; 95% CI, 0.49-0.94), reduced distant metastasis (OR, 0.59; 95% CI, 0.41-0.87), and less lymph node infiltration (OR, 0.81; 95% CI, 0.65-0.998).
- RSK2 expression varied across intrinsic subtypes and correlated with higher histological grade and estrogen receptor status.
Conclusions:
- RSK2 is a potential biomarker for breast cancer patients.
- RSK2 expression patterns differ among breast cancer subtypes, suggesting a role in specific cancer mechanisms.
- Further research is warranted to elucidate the precise mechanisms of RSK2 in breast cancer development and progression.

