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Mathematically universal and biologically consistent astrocytoma genotype encodes for transformation and predicts survival phenotype
DNA alterations have been observed in astrocytoma for decades. A copy-number genotype predictive of a survival phenotype was only discovered by using the generalized singular value decomposition (GSVD) formulated as a comparative spectral decomposition. Here, we use the GSVD to compare whole-genome...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AIP Publishing LLC
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6215493/ https://www.ncbi.nlm.nih.gov/pubmed/30397684 http://dx.doi.org/10.1063/1.5037882 |
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author | Aiello, Katherine A. Ponnapalli, Sri Priya Alter, Orly |
author_facet | Aiello, Katherine A. Ponnapalli, Sri Priya Alter, Orly |
author_sort | Aiello, Katherine A. |
collection | PubMed |
description | DNA alterations have been observed in astrocytoma for decades. A copy-number genotype predictive of a survival phenotype was only discovered by using the generalized singular value decomposition (GSVD) formulated as a comparative spectral decomposition. Here, we use the GSVD to compare whole-genome sequencing (WGS) profiles of patient-matched astrocytoma and normal DNA. First, the GSVD uncovers a genome-wide pattern of copy-number alterations, which is bounded by patterns recently uncovered by the GSVDs of microarray-profiled patient-matched glioblastoma (GBM) and, separately, lower-grade astrocytoma and normal genomes. Like the microarray patterns, the WGS pattern is correlated with an approximately one-year median survival time. By filling in gaps in the microarray patterns, the WGS pattern reveals that this biologically consistent genotype encodes for transformation via the Notch together with the Ras and Shh pathways. Second, like the GSVDs of the microarray profiles, the GSVD of the WGS profiles separates the tumor-exclusive pattern from normal copy-number variations and experimental inconsistencies. These include the WGS technology-specific effects of guanine-cytosine content variations across the genomes that are correlated with experimental batches. Third, by identifying the biologically consistent phenotype among the WGS-profiled tumors, the GBM pattern proves to be a technology-independent predictor of survival and response to chemotherapy and radiation, statistically better than the patient's age and tumor's grade, the best other indicators, and MGMT promoter methylation and IDH1 mutation. We conclude that by using the complex structure of the data, comparative spectral decompositions underlie a mathematically universal description of the genotype-phenotype relations in cancer that other methods miss. |
format | Online Article Text |
id | pubmed-6215493 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | AIP Publishing LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-62154932018-11-03 Mathematically universal and biologically consistent astrocytoma genotype encodes for transformation and predicts survival phenotype Aiello, Katherine A. Ponnapalli, Sri Priya Alter, Orly APL Bioeng Special Topic: Bioengineering of Cancer DNA alterations have been observed in astrocytoma for decades. A copy-number genotype predictive of a survival phenotype was only discovered by using the generalized singular value decomposition (GSVD) formulated as a comparative spectral decomposition. Here, we use the GSVD to compare whole-genome sequencing (WGS) profiles of patient-matched astrocytoma and normal DNA. First, the GSVD uncovers a genome-wide pattern of copy-number alterations, which is bounded by patterns recently uncovered by the GSVDs of microarray-profiled patient-matched glioblastoma (GBM) and, separately, lower-grade astrocytoma and normal genomes. Like the microarray patterns, the WGS pattern is correlated with an approximately one-year median survival time. By filling in gaps in the microarray patterns, the WGS pattern reveals that this biologically consistent genotype encodes for transformation via the Notch together with the Ras and Shh pathways. Second, like the GSVDs of the microarray profiles, the GSVD of the WGS profiles separates the tumor-exclusive pattern from normal copy-number variations and experimental inconsistencies. These include the WGS technology-specific effects of guanine-cytosine content variations across the genomes that are correlated with experimental batches. Third, by identifying the biologically consistent phenotype among the WGS-profiled tumors, the GBM pattern proves to be a technology-independent predictor of survival and response to chemotherapy and radiation, statistically better than the patient's age and tumor's grade, the best other indicators, and MGMT promoter methylation and IDH1 mutation. We conclude that by using the complex structure of the data, comparative spectral decompositions underlie a mathematically universal description of the genotype-phenotype relations in cancer that other methods miss. AIP Publishing LLC 2018-09-19 /pmc/articles/PMC6215493/ /pubmed/30397684 http://dx.doi.org/10.1063/1.5037882 Text en © Author(s). 2473-2877/2018/2(3)/031909/12 All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Special Topic: Bioengineering of Cancer Aiello, Katherine A. Ponnapalli, Sri Priya Alter, Orly Mathematically universal and biologically consistent astrocytoma genotype encodes for transformation and predicts survival phenotype |
title | Mathematically universal and biologically consistent astrocytoma genotype encodes for transformation and predicts survival phenotype |
title_full | Mathematically universal and biologically consistent astrocytoma genotype encodes for transformation and predicts survival phenotype |
title_fullStr | Mathematically universal and biologically consistent astrocytoma genotype encodes for transformation and predicts survival phenotype |
title_full_unstemmed | Mathematically universal and biologically consistent astrocytoma genotype encodes for transformation and predicts survival phenotype |
title_short | Mathematically universal and biologically consistent astrocytoma genotype encodes for transformation and predicts survival phenotype |
title_sort | mathematically universal and biologically consistent astrocytoma genotype encodes for transformation and predicts survival phenotype |
topic | Special Topic: Bioengineering of Cancer |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6215493/ https://www.ncbi.nlm.nih.gov/pubmed/30397684 http://dx.doi.org/10.1063/1.5037882 |
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