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EGFR Pathway-Based Gene Signatures of Druggable Gene Mutations in Melanoma, Breast, Lung, and Thyroid Cancers
Mikhail Raevskiy1,2, Maxim Sorokin3,4,5, Uliana Vladimirova6
1Omicsway Corp., Walnut, CA 91789, USA. raevskymichail@gmail.com.
Abstract:
EGFR, BRAF, PIK3CA, and KRAS genes play major roles in EGFR pathway, and accommodate activating mutations that predict response to many targeted therapeutics. However, connections between these mutations and EGFR pathway expression patterns remain unexplored. Here, we investigated transcriptomic associations with these activating mutations in three ways. First, we compared expressions of these genes in the mutant and wild type tumors, respectively, using RNA sequencing profiles from The Cancer Genome Atlas project database (n = 3660). Second, mutations were associated with the activation level of EGFR pathway. Third, they were associated with the gene signatures of differentially expressed genes from these pathways between the mutant and wild type tumors. We found that the upregulated EGFR pathway was linked with mutations in the BRAF (thyroid cancer, melanoma) and PIK3CA (breast cancer) genes. Gene signatures were associated with BRAF (thyroid cancer, melanoma), EGFR (squamous cell lung cancer), KRAS (colorectal cancer), and PIK3CA (breast cancer) mutations. However, only for the BRAF gene signature in the thyroid cancer we observed strong biomarker diagnostic capacity with AUC > 0.7 (0.809). Next, we validated this signature on the independent literature-based dataset (n = 127, fresh-frozen tissue samples, AUC 0.912), and on the experimental dataset (n = 42, formalin fixed, paraffin embedded tissue samples, AUC 0.822). Our results suggest that the RNA sequencing profiles can be used for robust identification of the replacement of Valine at position 600 with Glutamic acid in the BRAF gene in the papillary subtype of thyroid cancer, and evidence that the specific gene expression levels could provide information about the driver carcinogenic mutations.
Insights
This study explored gene expression patterns linked to mutations in EGFR, BRAF, PIK3CA, and KRAS genes. A BRAF gene signature in thyroid cancer showed strong diagnostic potential for specific mutations.
Area of Science:
- Genomics
- Cancer Biology
- Molecular Diagnostics
Background:
- Activating mutations in EGFR, BRAF, PIK3CA, and KRAS genes are crucial in the EGFR pathway and predict targeted therapy response.
- The relationship between these specific mutations and EGFR pathway expression patterns is not well understood.
Purpose of the Study:
- To investigate transcriptomic associations with activating mutations in key EGFR pathway genes.
- To identify potential gene expression biomarkers for specific mutations and cancer types.
Main Methods:
- Utilized RNA sequencing data from The Cancer Genome Atlas (TCGA) database (n=3660) to compare gene expression in mutant versus wild-type tumors.
- Associated mutations with EGFR pathway activation levels and gene signatures of differentially expressed genes.
- Validated findings using independent literature-based and experimental datasets.
Main Results:
- Upregulated EGFR pathway expression correlated with BRAF and PIK3CA mutations in specific cancers (thyroid, melanoma, breast).
- Gene signatures associated with BRAF, EGFR, KRAS, and PIK3CA mutations were identified across various cancer types.
- A BRAF gene signature demonstrated high diagnostic accuracy (AUC > 0.8) for papillary thyroid cancer, validated across multiple datasets.
Conclusions:
- RNA sequencing profiles can effectively identify specific BRAF mutations (V600E) in papillary thyroid cancer.
- Gene expression patterns may serve as valuable indicators of driver mutations in cancer, aiding in diagnosis and targeted therapy selection.
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