Biological determinants of bladder cancer gene expression subtypes.
(2015) In Scientific Reports 5.- Abstract
- Molecular stratification of tumors by gene expression profiling has been applied to a large number of human malignancies and holds great promise for personalized treatment. Comprehensive classification schemes for urothelial carcinoma have been proposed by three separate groups but have not previously been evaluated simultaneously in independent data. Here we map the interrelations between the proposed molecular subtypes onto the intrinsic structure of a rich independent dataset and show that subtype stratification within each scheme can be explained in terms of a set of common underlying biological processes. We highlight novel biological and genomic drivers of urothelial carcinoma molecular subtypes and show that tumors carrying genomic... (More)
- Molecular stratification of tumors by gene expression profiling has been applied to a large number of human malignancies and holds great promise for personalized treatment. Comprehensive classification schemes for urothelial carcinoma have been proposed by three separate groups but have not previously been evaluated simultaneously in independent data. Here we map the interrelations between the proposed molecular subtypes onto the intrinsic structure of a rich independent dataset and show that subtype stratification within each scheme can be explained in terms of a set of common underlying biological processes. We highlight novel biological and genomic drivers of urothelial carcinoma molecular subtypes and show that tumors carrying genomic aberrations characteristic of distinct molecular pathways converge on a common top level phenotype corresponding to the two major molecular subtypes of non-muscle invasive disease. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/7487640
- author
- Aine, Mattias LU ; Eriksson, Pontus LU ; Liedberg, Fredrik LU ; Sjödahl, Gottfrid LU and Höglund, Mattias LU
- organization
- publishing date
- 2015
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Scientific Reports
- volume
- 5
- article number
- 10957
- publisher
- Nature Publishing Group
- external identifiers
-
- pmid:26051783
- wos:000356067600001
- scopus:84930959056
- pmid:26051783
- ISSN
- 2045-2322
- DOI
- 10.1038/srep10957
- language
- English
- LU publication?
- yes
- id
- 007d7aa8-56bd-4439-8ad3-b28f8ec3ab6b (old id 7487640)
- alternative location
- http://www.ncbi.nlm.nih.gov/pubmed/26051783?dopt=Abstract
- date added to LUP
- 2016-04-01 13:30:25
- date last changed
- 2022-04-14 01:36:33
@article{007d7aa8-56bd-4439-8ad3-b28f8ec3ab6b,
abstract = {{Molecular stratification of tumors by gene expression profiling has been applied to a large number of human malignancies and holds great promise for personalized treatment. Comprehensive classification schemes for urothelial carcinoma have been proposed by three separate groups but have not previously been evaluated simultaneously in independent data. Here we map the interrelations between the proposed molecular subtypes onto the intrinsic structure of a rich independent dataset and show that subtype stratification within each scheme can be explained in terms of a set of common underlying biological processes. We highlight novel biological and genomic drivers of urothelial carcinoma molecular subtypes and show that tumors carrying genomic aberrations characteristic of distinct molecular pathways converge on a common top level phenotype corresponding to the two major molecular subtypes of non-muscle invasive disease.}},
author = {{Aine, Mattias and Eriksson, Pontus and Liedberg, Fredrik and Sjödahl, Gottfrid and Höglund, Mattias}},
issn = {{2045-2322}},
language = {{eng}},
publisher = {{Nature Publishing Group}},
series = {{Scientific Reports}},
title = {{Biological determinants of bladder cancer gene expression subtypes.}},
url = {{https://lup.lub.lu.se/search/files/3410284/8561187}},
doi = {{10.1038/srep10957}},
volume = {{5}},
year = {{2015}},
}