Literature DB >> 30350867

Global DNA methylation reflects spatial heterogeneity and molecular evolution of lung adenocarcinomas.

Steffen Dietz1,2,3,4, Aviezer Lifshitz5,6, Daniel Kazdal2,3,7, Alexander Harms2,3,7, Volker Endris7, Hauke Winter8, Albrecht Stenzinger3,7, Arne Warth7,9, Martin Sill10, Amos Tanay5,6, Holger Sültmann1,2,3.   

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.
© 2018 UICC.

Entities:  

Keywords:  DNA methylation; copy number variations; histological growth pattern; intratumor heterogeneity; lung adenocarcinoma

Mesh:

Year:  2018        PMID: 30350867     DOI: 10.1002/ijc.31939

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  7 in total

1.  Sperm DNA integrity status is associated with DNA methylation signatures of imprinted genes and non-imprinted genes.

Authors:  Bing Song; Chao Wang; Yujie Chen; Guanjian Li; Yang Gao; Fuxi Zhu; Huan Wu; Mingrong Lv; Ping Zhou; Zhaolian Wei; Xiaojin He; Yunxia Cao
Journal:  J Assist Reprod Genet       Date:  2021-03-30       Impact factor: 3.357

Review 2.  Regulatory function of DNA methylation mediated lncRNAs in gastric cancer.

Authors:  Nan Li; Anqi Zeng; Qian Wang; Maohua Chen; Shaomi Zhu; Linjiang Song
Journal:  Cancer Cell Int       Date:  2022-07-09       Impact factor: 6.429

Review 3.  Epigenetic heterogeneity in cancer.

Authors:  Mingzhou Guo; Yaojun Peng; Aiai Gao; Chen Du; James G Herman
Journal:  Biomark Res       Date:  2019-10-31

4.  Genetic and epigenetic intratumor heterogeneity impacts prognosis of lung adenocarcinoma.

Authors:  Xing Hua; Wei Zhao; Angela C Pesatori; Dario Consonni; Neil E Caporaso; Tongwu Zhang; Bin Zhu; Mingyi Wang; Kristine Jones; Belynda Hicks; Lei Song; Joshua Sampson; David C Wedge; Jianxin Shi; Maria Teresa Landi
Journal:  Nat Commun       Date:  2020-05-18       Impact factor: 14.919

5.  Identification and validation of novel DNA methylation markers for early diagnosis of lung adenocarcinoma.

Authors:  Miao Li; Chen Zhang; Lijun Zhou; Siyu Li; Yuan Jie Cao; Longlong Wang; Rong Xiang; Yi Shi; Yongjun Piao
Journal:  Mol Oncol       Date:  2020-08-27       Impact factor: 7.449

6.  Identification of a novel prognostic DNA methylation signature for lung adenocarcinoma based on consensus clustering method.

Authors:  Qidong Cai; Boxue He; Hui Xie; Pengfei Zhang; Xiong Peng; Yuqian Zhang; Zhenyu Zhao; Xiang Wang
Journal:  Cancer Med       Date:  2020-08-28       Impact factor: 4.452

7.  Molecular subtypes based on CNVs related gene signatures identify candidate prognostic biomarkers in lung adenocarcinoma.

Authors:  Baihui Li; Ziqi Huang; Wenwen Yu; Shaochuan Liu; Jian Zhang; Qingqing Wang; Lei Wu; Fan Kou; Lili Yang
Journal:  Neoplasia       Date:  2021-06-14       Impact factor: 5.715

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.