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Characterize Disease-related Mutants of RAF Family Kinases by Using a Set of Practical and Feasible Methods
Published on: July 17, 2019
Raf kinase inhibitory protein role in the molecular subtyping of breast cancer
Fahd Al-Mulla1, Makia Marafie, Tuan Zea Tan
1Department of Pathology, Faculty of Medicine, Kuwait University Health Sciences Centre, Safat, 13110, Kuwait.
Abstract:
In this study, we examined the association between the RKIP expression and the molecular subtypes of breast cancer. Microarray gene expression data of 2,333 human breast cancer from 26 different cohorts performed on Affymetrix U133A or U133Plus2 platforms were downloaded from Array Express and Gene Expression Omnibus and the molecular subtype of breast cancer for the samples was determined by single sample Gene Set Enrichment Analysis. Differences in recurrence-free survival (RFS) were tested using the Log-rank test in univariate analysis and displayed using Kaplan-Meier curves. Cox proportional-hazards model was used to calculate the hazard ratio using univariate and multivariate analysis. Loss or reduced RKIP expression was associated with reduced RFS in breast cancer using univariate and multivariate analyses, which was independent of lymph node (LN) metastasis status. Basal-like, Claudin-low, and Her-2-enriched tumors had significantly lower RKIP levels compared to other subclasses (P < 0.0001). Conversely, the Luminal subclass exhibited the highest expression levels of RKIP (P < 0.0001 for Luminal A and P = 0.0005 for Luminal B subtype), while in normal-like breast cancer subtype, RKIP expression was not informative. RKIP expression was prognostic in ER+ and ER- subgroups. RKIP expression had no significant prognostic power within Basal-like, Claudine-low, Luminal B, or Her-2-enriched breast cancer subtypes. However, its expression pinpointed excellent from intermediate-poor Luminal A survivors, in both ER+ (P = 0.035) and ER- (P = 0.012) subgroups, especially in LN negative breast cancers. In conclusion, RKIP expression adds significant value to the molecular subclassification of breast cancer especially for the Luminal A subtype.
Insights
Reduced RKIP expression is linked to poorer recurrence-free survival in breast cancer patients. RKIP levels vary significantly across molecular subtypes, particularly impacting Luminal A breast cancer prognosis.
Area of Science:
- Oncology
- Molecular Biology
- Bioinformatics
Background:
- Breast cancer comprises diverse molecular subtypes with distinct clinical behaviors.
- Identifying reliable biomarkers for prognosis and subclassification is crucial for personalized treatment strategies.
- Raf kinase inhibitor protein (RKIP) has emerged as a potential player in cancer progression.
Purpose of the Study:
- To investigate the association between RKIP expression and breast cancer molecular subtypes.
- To evaluate the prognostic value of RKIP expression in relation to recurrence-free survival (RFS).
- To determine if RKIP expression can refine the molecular subclassification of breast cancer.
Main Methods:
- Analysis of microarray gene expression data from 2,333 human breast cancer samples across 26 cohorts.
- Molecular subtyping using single-sample Gene Set Enrichment Analysis.
- Statistical analysis including Log-rank tests, Kaplan-Meier curves, and Cox proportional-hazards models for RFS and prognostic value.
Main Results:
- Loss or reduced RKIP expression was significantly associated with decreased RFS, independent of lymph node metastasis.
- Basal-like, Claudin-low, and Her-2-enriched subtypes showed significantly lower RKIP levels.
- Luminal subtypes (A and B) exhibited the highest RKIP expression; RKIP was prognostic in ER+ and ER- subgroups.
- RKIP expression was particularly valuable in distinguishing survival outcomes within the Luminal A subtype, especially in lymph node-negative cases.
Conclusions:
- RKIP expression levels are significantly correlated with molecular subtypes of breast cancer.
- RKIP expression serves as an independent prognostic marker for recurrence-free survival.
- RKIP expression enhances the prognostic value of molecular subclassification, especially for Luminal A breast cancer.
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