Pathway Instability Is an Effective New Mutation-Based Type of Cancer Biomarkers

DNA mutations play a crucial role in cancer development and progression. Mutation profiles vary dramatically in different cancer types and between individual tumors. Mutations of several individual genes are known as reliable cancer biomarkers, although the number of such genes is tiny and does not...

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Main Authors: Marianna A. Zolotovskaia, Maxim I. Sorokin, Sergey A. Roumiantsev, Nikolay M. Borisov, Anton A. Buzdin
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-01-01
Series:Frontiers in Oncology
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fonc.2018.00658/full
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spelling doaj-9d5a087202d843fda65d7799bc1bf3b52020-11-24T23:58:06ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2019-01-01810.3389/fonc.2018.00658431722Pathway Instability Is an Effective New Mutation-Based Type of Cancer BiomarkersMarianna A. Zolotovskaia0Marianna A. Zolotovskaia1Maxim I. Sorokin2Maxim I. Sorokin3Sergey A. Roumiantsev4Nikolay M. Borisov5Nikolay M. Borisov6Anton A. Buzdin7Anton A. Buzdin8Anton A. Buzdin9Department of Oncology, Hematology and Radiotherapy of Pediatric Faculty, Pirogov Russian National Research Medical University, Moscow, RussiaOncobox Ltd., Moscow, RussiaThe Laboratory of Clinical Bioinformatics, I.M. Sechenov First Moscow State Medical University, Moscow, RussiaOmicsway Corp., Walnut, CA, United StatesDepartment of Oncology, Hematology and Radiotherapy of Pediatric Faculty, Pirogov Russian National Research Medical University, Moscow, RussiaOncobox Ltd., Moscow, RussiaThe Laboratory of Clinical Bioinformatics, I.M. Sechenov First Moscow State Medical University, Moscow, RussiaThe Laboratory of Clinical Bioinformatics, I.M. Sechenov First Moscow State Medical University, Moscow, RussiaOmicsway Corp., Walnut, CA, United StatesThe Laboratory of Systems Biology, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, RussiaDNA mutations play a crucial role in cancer development and progression. Mutation profiles vary dramatically in different cancer types and between individual tumors. Mutations of several individual genes are known as reliable cancer biomarkers, although the number of such genes is tiny and does not enable differential diagnostics for most of the cancers. We report here a technique enabling dramatically increased efficiency of cancer biomarkers development using DNA mutations data. It includes a quantitative metric termed Pathway instability (PI) based on mutations enrichment of intracellular molecular pathways. This method was tested on 5,956 tumor mutation profiles of 15 cancer types from The Cancer Genome Atlas (TCGA) project. Totally, we screened 2,316,670 mutations in 19,872 genes and 1,748 molecular pathways. Our results demonstrated considerable advantage of pathway-based mutation biomarkers over individual gene mutation profiles, as reflected by more than two orders of magnitude greater numbers by high-quality [ROC area-under-curve (AUC)>0.75] biomarkers. For example, the number of such high-quality mutational biomarkers distinguishing between different cancer types was only six for the individual gene mutations, and already 660 for the pathway-based biomarkers. These results evidence that PI value can be used as a new generation of complex cancer biomarkers significantly outperforming the existing gene mutation biomarkers.https://www.frontiersin.org/article/10.3389/fonc.2018.00658/fullcancerDNA mutationmolecular pathwaysbiomarkerpathway instability
collection DOAJ
language English
format Article
sources DOAJ
author Marianna A. Zolotovskaia
Marianna A. Zolotovskaia
Maxim I. Sorokin
Maxim I. Sorokin
Sergey A. Roumiantsev
Nikolay M. Borisov
Nikolay M. Borisov
Anton A. Buzdin
Anton A. Buzdin
Anton A. Buzdin
spellingShingle Marianna A. Zolotovskaia
Marianna A. Zolotovskaia
Maxim I. Sorokin
Maxim I. Sorokin
Sergey A. Roumiantsev
Nikolay M. Borisov
Nikolay M. Borisov
Anton A. Buzdin
Anton A. Buzdin
Anton A. Buzdin
Pathway Instability Is an Effective New Mutation-Based Type of Cancer Biomarkers
Frontiers in Oncology
cancer
DNA mutation
molecular pathways
biomarker
pathway instability
author_facet Marianna A. Zolotovskaia
Marianna A. Zolotovskaia
Maxim I. Sorokin
Maxim I. Sorokin
Sergey A. Roumiantsev
Nikolay M. Borisov
Nikolay M. Borisov
Anton A. Buzdin
Anton A. Buzdin
Anton A. Buzdin
author_sort Marianna A. Zolotovskaia
title Pathway Instability Is an Effective New Mutation-Based Type of Cancer Biomarkers
title_short Pathway Instability Is an Effective New Mutation-Based Type of Cancer Biomarkers
title_full Pathway Instability Is an Effective New Mutation-Based Type of Cancer Biomarkers
title_fullStr Pathway Instability Is an Effective New Mutation-Based Type of Cancer Biomarkers
title_full_unstemmed Pathway Instability Is an Effective New Mutation-Based Type of Cancer Biomarkers
title_sort pathway instability is an effective new mutation-based type of cancer biomarkers
publisher Frontiers Media S.A.
series Frontiers in Oncology
issn 2234-943X
publishDate 2019-01-01
description DNA mutations play a crucial role in cancer development and progression. Mutation profiles vary dramatically in different cancer types and between individual tumors. Mutations of several individual genes are known as reliable cancer biomarkers, although the number of such genes is tiny and does not enable differential diagnostics for most of the cancers. We report here a technique enabling dramatically increased efficiency of cancer biomarkers development using DNA mutations data. It includes a quantitative metric termed Pathway instability (PI) based on mutations enrichment of intracellular molecular pathways. This method was tested on 5,956 tumor mutation profiles of 15 cancer types from The Cancer Genome Atlas (TCGA) project. Totally, we screened 2,316,670 mutations in 19,872 genes and 1,748 molecular pathways. Our results demonstrated considerable advantage of pathway-based mutation biomarkers over individual gene mutation profiles, as reflected by more than two orders of magnitude greater numbers by high-quality [ROC area-under-curve (AUC)>0.75] biomarkers. For example, the number of such high-quality mutational biomarkers distinguishing between different cancer types was only six for the individual gene mutations, and already 660 for the pathway-based biomarkers. These results evidence that PI value can be used as a new generation of complex cancer biomarkers significantly outperforming the existing gene mutation biomarkers.
topic cancer
DNA mutation
molecular pathways
biomarker
pathway instability
url https://www.frontiersin.org/article/10.3389/fonc.2018.00658/full
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