NSEA: n-Node Subnetwork Enumeration Algorithm Identifies Lower Grade Glioma Subtypes with Altered Subnetworks and Distinct Prognostics
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Case Western Reserve University School of Graduate Studies / OhioLINK
2017
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ndltd-OhioLink-oai-etd.ohiolink.edu-case1485959013711962021-08-03T06:39:57Z NSEA: n-Node Subnetwork Enumeration Algorithm Identifies Lower Grade Glioma Subtypes with Altered Subnetworks and Distinct Prognostics Zhang, Zhihan Bioinformatics Oncology Cancer Brain Tumor Glioma LGG Subtype Network Subnetwork Enumeration Algorithm Clustering Prognostics MAPK NOTCH Methylation Motivation: The prognosis of low-grade-glioma (LGG) patients is very poor. Identifying subnetworks related to LGG can better describe the genetic make-up of the tumor. Methods: n-Node Subnetwork Enumeration Algorithm (nSEA) was developed to identify significantly dysregulated subnetworks. We utilized a filtered protein network to enumerate n-node subnetworks exhaustively and score each subnetwork to carry out feature selection. These subnetwork seeds were expanded to identify tumor-specific subnetworks. Clustering these subnetworks provided patient groups with different subnetwork states.Results: We identified 92 subnetwork features, 8 subnetwork groups and 5 patient groups. A new patient group was identified with favorable outcomes. By decision tree modeling, the new group were characterized as down-regulated MAPK/B-Raf pathway and up-regulated Notch pathway. It had fewer mutations of candidate genes, hypomethylation of NIPBL and hypermethylation of KALRN.Conclusions: These results could provide opportunities for improved treatment options and personalized interventions of LGG. 2017-06-06 English text Case Western Reserve University School of Graduate Studies / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=case148595901371196 http://rave.ohiolink.edu/etdc/view?acc_num=case148595901371196 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws. |
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NDLTD |
language |
English |
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NDLTD |
topic |
Bioinformatics Oncology Cancer Brain Tumor Glioma LGG Subtype Network Subnetwork Enumeration Algorithm Clustering Prognostics MAPK NOTCH Methylation |
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Bioinformatics Oncology Cancer Brain Tumor Glioma LGG Subtype Network Subnetwork Enumeration Algorithm Clustering Prognostics MAPK NOTCH Methylation Zhang, Zhihan NSEA: n-Node Subnetwork Enumeration Algorithm Identifies Lower Grade Glioma Subtypes with Altered Subnetworks and Distinct Prognostics |
author |
Zhang, Zhihan |
author_facet |
Zhang, Zhihan |
author_sort |
Zhang, Zhihan |
title |
NSEA: n-Node Subnetwork Enumeration Algorithm Identifies Lower Grade Glioma Subtypes with Altered Subnetworks and Distinct Prognostics |
title_short |
NSEA: n-Node Subnetwork Enumeration Algorithm Identifies Lower Grade Glioma Subtypes with Altered Subnetworks and Distinct Prognostics |
title_full |
NSEA: n-Node Subnetwork Enumeration Algorithm Identifies Lower Grade Glioma Subtypes with Altered Subnetworks and Distinct Prognostics |
title_fullStr |
NSEA: n-Node Subnetwork Enumeration Algorithm Identifies Lower Grade Glioma Subtypes with Altered Subnetworks and Distinct Prognostics |
title_full_unstemmed |
NSEA: n-Node Subnetwork Enumeration Algorithm Identifies Lower Grade Glioma Subtypes with Altered Subnetworks and Distinct Prognostics |
title_sort |
nsea: n-node subnetwork enumeration algorithm identifies lower grade glioma subtypes with altered subnetworks and distinct prognostics |
publisher |
Case Western Reserve University School of Graduate Studies / OhioLINK |
publishDate |
2017 |
url |
http://rave.ohiolink.edu/etdc/view?acc_num=case148595901371196 |
work_keys_str_mv |
AT zhangzhihan nseannodesubnetworkenumerationalgorithmidentifieslowergradegliomasubtypeswithalteredsubnetworksanddistinctprognostics |
_version_ |
1719440901019795456 |