% IMPORTANT: The following is UTF-8 encoded. This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.
@ARTICLE{Dietz:142862,
author = {S. Dietz$^*$ and A. Lifshitz and D. Kazdal$^*$ and A.
Harms$^*$ and V. Endris and H. Winter and A. Stenzinger$^*$
and A. Warth and M. Sill$^*$ and A. Tanay and H.
Sültmann$^*$},
title = {{G}lobal {DNA} methylation reflects spatial heterogeneity
and molecular evolution of lung adenocarcinomas.},
journal = {International journal of cancer},
volume = {144},
number = {5},
issn = {0020-7136},
address = {Bognor Regis},
publisher = {Wiley-Liss},
reportid = {DKFZ-2019-00492},
pages = {1061 - 1072},
year = {2019},
abstract = {Lung adenocarcinoma (ADC) is the most prevalent subtype of
lung cancer and characterized by considerable morphological
and mutational heterogeneity. However, little is known about
the epigenomic intratumor variability between spatially
separated histological growth patterns of ADC. In order to
reconstruct the clonal evolution of histomorphological
patterns, we performed global DNA methylation profiling of
27 primary tumor regions, seven matched normal tissues and
six lymph node metastases from seven ADC cases.
Additionally, we investigated the methylation data from 369
samples of the TCGA ADC cohort. All regions showed varying
degrees of methylation changes between segments of
different, but also of the same growth patterns. Similarly,
copy number variations were seen between spatially distinct
segments of each patient. Hierarchical clustering of
promoter methylation revealed extensive heterogeneity within
and between the cases. Intratumor DNA methylation
heterogeneity demonstrated a branched clonal evolution of
ADC regions driven by genomic instability with subclonal
copy number changes. Notably, methylation profiles within
tumors were not more similar to each other than to those
from other individuals. In two cases, different tumor
regions of the same individuals were represented in distant
clusters of the TCGA cohort, illustrating the extensive
epigenomic intratumor heterogeneity of ADCs. We found no
evidence for the lymph node metastases to be derived from a
common growth pattern. Instead, they had evolved early and
separately from a particular pattern in each primary tumor.
Our results suggest that extensive variation of epigenomic
features contributes to the molecular and phenotypic
heterogeneity of primary ADCs and lymph node metastases.},
cin = {B063 / B062 / L101},
ddc = {610},
cid = {I:(DE-He78)B063-20160331 / I:(DE-He78)B062-20160331 /
I:(DE-He78)L101-20160331},
pnm = {312 - Functional and structural genomics (POF3-312)},
pid = {G:(DE-HGF)POF3-312},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:30350867},
doi = {10.1002/ijc.31939},
url = {https://inrepo02.dkfz.de/record/142862},
}