ArticleGenomics, proteomics & bioinformatics2017
Network Analysis Reveals A Signaling Regulatory Loop in the PIK3CA-mutated Breast Cancer Predicting Survival Outcome.
Article in Genomics, proteomics & bioinformatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
43 citing papers in PubMed.
- Genome-wide analyses of long noncoding RNA expression profiles in lung adenocarcinoma.Scientific reports · 2017Trial
- Emerging Strategies Targeting the PI3K/AKT/mTOR Pathway in HR+/HER2- Advanced Breast Cancer.Drugs · 2026Review
- Article
- Network motif detection using hidden markov models.Scientific reports · 2025Article
- High frequency of the PIK3CA H1047L mutation in Indonesian breast cancer across molecular subtypes.PloS one · 2025Article
- Breast Tumor Metastasis and Its Microenvironment: It Takes Both Seed and Soil to Grow a Tumor and Target It for Treatment.Cancers · 2024Review
- HAHmiR.DB: a server platform for high-altitude human miRNA-gene coregulatory networks and associated regulatory circuits.Database : the journal of biological databases and curation · 2020Article
- Review of tools and algorithms for network motif discovery in biological networks.IET systems biology · 2020Review
- Overexpression of BZW1 is an independent poor prognosis marker and its down-regulation suppresses lung adenocarcinoma metastasis.Scientific reports · 2019Article
- Anticancer Drug Response Prediction in Cell Lines Using Weighted Graph Regularized Matrix Factorization.Molecular therapy. Nucleic acids · 2019Article
- Multicellular gene network analysis identifies a macrophage-related gene signature predictive of therapeutic response and prognosis of gliomas.Journal of translational medicine · 2019Article
- Association between IL-37 gene polymorphisms and risk of HBV-related liver disease in a Saudi Arabian population.Scientific reports · 2019Article
- A network-based approach for identifying suitable biomarkers for oral immunotherapy of food allergy.BMC bioinformatics · 2019Article
- Network Analysis Reveals TNF as a Major Hub of Reactive Inflammation Following Spinal Cord Injury.Scientific reports · 2019Article
- The Good, the Bad and the Tick.Frontiers in cell and developmental biology · 2019Article
- Application of dynamic expansion tree for finding large network motifs in biological networks.PeerJ · 2019Article
- A heterogeneous label propagation approach to explore the potential associations between miRNA and disease.Journal of translational medicine · 2018Article
- Mathematical modeling and computational prediction of cancer drug resistance.Briefings in bioinformatics · 2018Review
- Module-detection approaches for the integration of multilevel omics data highlight the comprehensive response of Aspergillus fumigatus to caspofungin.BMC systems biology · 2018Article
- The intragenic mRNA-microRNA regulatory network during telogen-anagen hair follicle transition in the cashmere goat.Scientific reports · 2018Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
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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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.