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Published on: December 26, 2016
Integrating functional proteomics and next generation sequencing reveals potential therapeutic targets for Taiwanese
Wei-Chi Ku1, Chih-Yi Liu1,2, Chi-Jung Huang3,4
1School of Medicine, College of Medicine, Fu Jen Catholic University, New Taipei, 242, Taiwan.
Abstract:
Integrating functional proteomics and next-generation sequencing (NGS) offers a comprehensive approach to unraveling the molecular intricacies of breast cancer. This study investigates the functional interplay between genomic alterations and protein expression in Taiwanese breast cancer patients. By analyzing 61 breast cancer samples using tandem mass tag (TMT) labeling and mass spectrometry, coupled with whole-exome sequencing (WES) or targeted sequencing, we identified key genetic mutations and their impact on protein expression. Notably, pathogenic variants in BRCA1, BRCA2, PTEN, and PIK3CA were found to be clinically relevant, potentially guiding targeted therapy decisions. Additionally, we discovered trans correlations between specific gene alterations (FANCA, HRAS, PIK3CA, MAP2K1, JAK2) and the expression of 22 proteins, suggesting potential molecular mechanisms underlying breast cancer development and progression. These findings highlight the power of integrating proteomics and NGS to identify potential therapeutic targets and enhance personalized medicine strategies for Taiwanese breast cancer patients.
Insights
This study links gene mutations to protein changes in Taiwanese breast cancer patients using proteomics and next-generation sequencing. Findings reveal potential therapeutic targets for personalized medicine.
Area of Science:
- Oncology
- Genomics
- Proteomics
Background:
- Breast cancer molecular complexity requires integrated analysis of genomic and proteomic data.
- Understanding gene-protein interactions is crucial for developing targeted therapies.
Purpose of the Study:
- To investigate the interplay between genetic alterations and protein expression in Taiwanese breast cancer.
- To identify potential therapeutic targets and biomarkers for personalized medicine.
Main Methods:
- Analysis of 61 breast cancer samples using tandem mass tag (TMT) labeling and mass spectrometry.
- Whole-exome sequencing (WES) or targeted sequencing to identify genetic mutations.
- Integration of proteomic and next-generation sequencing (NGS) data.
Main Results:
- Identified clinically relevant pathogenic variants in BRCA1, BRCA2, PTEN, and PIK3CA.
- Discovered trans correlations between gene alterations (FANCA, HRAS, PIK3CA, MAP2K1, JAK2) and the expression of 22 proteins.
- Established links between specific genomic alterations and protein expression profiles.
Conclusions:
- Integrating proteomics and NGS provides a comprehensive view of breast cancer molecular landscape.
- Findings offer potential therapeutic targets and biomarkers for personalized treatment strategies in Taiwanese breast cancer patients.
- The study underscores the value of multi-omics approaches in advancing precision oncology.
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