Network Analysis Reveals A Signaling Regulatory Loop in the PIK3CA-mutated Breast Cancer Predicting Survival Outcome
Mutated genes are rarely common even in the same pathological type between cancer patients and as such, it has been very challenging to interpret genome sequencing data and difficult to predict clinical outcomes. PIK3CA is one of a few genes whose mutations are relatively popular in tumors. For exam...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Oxford University Press
2017-04-01
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| Series: | Genomics, Proteomics & Bioinformatics |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1672022917300451 |
| _version_ | 1827160460013600768 |
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| author | Shauna R. McGee Chabane Tibiche Mark Trifiro Edwin Wang |
| author_facet | Shauna R. McGee Chabane Tibiche Mark Trifiro Edwin Wang |
| author_sort | Shauna R. McGee |
| collection | DOAJ |
| description | Mutated genes are rarely common even in the same pathological type between cancer patients and as such, it has been very challenging to interpret genome sequencing data and difficult to predict clinical outcomes. PIK3CA is one of a few genes whose mutations are relatively popular in tumors. For example, more than 46.6% of luminal-A breast cancer samples have PIK3CA mutated, whereas only 35.5% of all breast cancer samples contain PIK3CA mutations. To understand the function of PIK3CA mutations in luminal A breast cancer, we applied our recently-proposed Cancer Hallmark Network Framework to investigate the network motifs in the PIK3CA-mutated luminal A tumors. We found that more than 70% of the PIK3CA-mutated luminal A tumors contain a positive regulatory loop where a master regulator (PDGF-D), a second regulator (FLT1) and an output node (SHC1) work together. Importantly, we found the luminal A breast cancer patients harboring the PIK3CA mutation and this positive regulatory loop in their tumors have significantly longer survival than those harboring PIK3CA mutation only in their tumors. These findings suggest that the underlying molecular mechanism of PIK3CA mutations in luminal A patients can participate in a positive regulatory loop, and furthermore the positive regulatory loop (PDGF-D/FLT1/SHC1) has a predictive power for the survival of the PIK3CA-mutated luminal A patients. |
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| format | Article |
| id | doaj.art-a4c802a5437c4827af1e839df7b0bc7f |
| institution | Directory Open Access Journal |
| issn | 1672-0229 |
| language | English |
| last_indexed | 2025-03-21T00:13:22Z |
| publishDate | 2017-04-01 |
| publisher | Oxford University Press |
| record_format | Article |
| series | Genomics, Proteomics & Bioinformatics |
| spelling | doaj.art-a4c802a5437c4827af1e839df7b0bc7f2024-08-03T09:43:02ZengOxford University PressGenomics, Proteomics & Bioinformatics1672-02292017-04-0115212112910.1016/j.gpb.2017.02.002Network Analysis Reveals A Signaling Regulatory Loop in the PIK3CA-mutated Breast Cancer Predicting Survival OutcomeShauna R. McGee0Chabane Tibiche1Mark Trifiro2Edwin Wang3National Research Council Canada, Montreal, QC H4P 2R2, CanadaNational Research Council Canada, Montreal, QC H4P 2R2, CanadaNational Research Council Canada, Montreal, QC H4P 2R2, CanadaNational Research Council Canada, Montreal, QC H4P 2R2, CanadaMutated genes are rarely common even in the same pathological type between cancer patients and as such, it has been very challenging to interpret genome sequencing data and difficult to predict clinical outcomes. PIK3CA is one of a few genes whose mutations are relatively popular in tumors. For example, more than 46.6% of luminal-A breast cancer samples have PIK3CA mutated, whereas only 35.5% of all breast cancer samples contain PIK3CA mutations. To understand the function of PIK3CA mutations in luminal A breast cancer, we applied our recently-proposed Cancer Hallmark Network Framework to investigate the network motifs in the PIK3CA-mutated luminal A tumors. We found that more than 70% of the PIK3CA-mutated luminal A tumors contain a positive regulatory loop where a master regulator (PDGF-D), a second regulator (FLT1) and an output node (SHC1) work together. Importantly, we found the luminal A breast cancer patients harboring the PIK3CA mutation and this positive regulatory loop in their tumors have significantly longer survival than those harboring PIK3CA mutation only in their tumors. These findings suggest that the underlying molecular mechanism of PIK3CA mutations in luminal A patients can participate in a positive regulatory loop, and furthermore the positive regulatory loop (PDGF-D/FLT1/SHC1) has a predictive power for the survival of the PIK3CA-mutated luminal A patients.http://www.sciencedirect.com/science/article/pii/S1672022917300451Network analysisPIK3CA mutationNetwork motifBreast cancerGenome sequencingSurvival |
| spellingShingle | Shauna R. McGee Chabane Tibiche Mark Trifiro Edwin Wang Network Analysis Reveals A Signaling Regulatory Loop in the PIK3CA-mutated Breast Cancer Predicting Survival Outcome Genomics, Proteomics & Bioinformatics Network analysis PIK3CA mutation Network motif Breast cancer Genome sequencing Survival |
| title | Network Analysis Reveals A Signaling Regulatory Loop in the PIK3CA-mutated Breast Cancer Predicting Survival Outcome |
| title_full | Network Analysis Reveals A Signaling Regulatory Loop in the PIK3CA-mutated Breast Cancer Predicting Survival Outcome |
| title_fullStr | Network Analysis Reveals A Signaling Regulatory Loop in the PIK3CA-mutated Breast Cancer Predicting Survival Outcome |
| title_full_unstemmed | Network Analysis Reveals A Signaling Regulatory Loop in the PIK3CA-mutated Breast Cancer Predicting Survival Outcome |
| title_short | Network Analysis Reveals A Signaling Regulatory Loop in the PIK3CA-mutated Breast Cancer Predicting Survival Outcome |
| title_sort | network analysis reveals a signaling regulatory loop in the pik3ca mutated breast cancer predicting survival outcome |
| topic | Network analysis PIK3CA mutation Network motif Breast cancer Genome sequencing Survival |
| url | http://www.sciencedirect.com/science/article/pii/S1672022917300451 |
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