Unknown

Dataset Information

0

Overexpression of the transcription factor ATF3 with a regulatory molecular signature associates with the pathogenic development of colorectal cancer.


ABSTRACT: The identification of novel biomarkers of cancer is important for improved diagnosis and prognosis. With an abundant amount of resources in the publicly available database, such as the Cancer Genome Atlas (TCGA) database, an integrative strategy is used to systematically characterize the aberrant patterns of colorectal cancer (CRC) based on RNA-Seq, chromatin immunoprecipitation sequencing (ChIP-Seq), tissue microarray (TMA), gene profiling and molecular signatures. The expression of the transcription factor ATF3 was elevated in human CRC specimens in a TMA by immunochemistry analysis compared to the adjacent normal tissues. In addition, ATF3 overexpression associated with a regulatory molecular signature, and its functions are related to the pathogenic development of CRC. Furthermore, putative ATF3 regulatory elements were identified within the promoters of ATF3 target genes and were confirmed by ChIP-Seq. Critically, in higher ATF3 expression cell lines (HCT116 and RKO) with CRISPR/Cas9 mediated ATF3 knock out, we are able to show that ATF3 target genes such as CEACAM1, DUSP14, HDC, HLF and ULBP2, are required for invasion and proliferation, and they are robustly linked with poor prognosis in CRC. Our findings have important implications for CRC tumorigenesis and may be exploited for diagnostic and therapeutic purposes.

SUBMITTER: Yan F 

PROVIDER: S-EPMC5564541 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature

altmetric image

Publications

Overexpression of the transcription factor ATF3 with a regulatory molecular signature associates with the pathogenic development of colorectal cancer.

Yan Feng F   Ying Le L   Li Xiaofang X   Qiao Bin B   Meng Qiaohong Q   Yu Liang L   Yuan Xiangliang X   Ren Shu-Ting ST   Chan David W DW   Shi Liyun L   Ni Peihua P   Wang Xuefeng X   Xu Dakang D   Hu Yiqun Y  

Oncotarget 20170701 29


The identification of novel biomarkers of cancer is important for improved diagnosis and prognosis. With an abundant amount of resources in the publicly available database, such as the Cancer Genome Atlas (TCGA) database, an integrative strategy is used to systematically characterize the aberrant patterns of colorectal cancer (CRC) based on RNA-Seq, chromatin immunoprecipitation sequencing (ChIP-Seq), tissue microarray (TMA), gene profiling and molecular signatures. The expression of the transcr  ...[more]

Similar Datasets

| S-EPMC3202680 | biostudies-literature
| S-EPMC6156394 | biostudies-literature
| S-EPMC6485807 | biostudies-literature
| S-EPMC1347018 | biostudies-literature
| S-EPMC3696548 | biostudies-literature
| S-EPMC8957905 | biostudies-literature
| S-EPMC5581471 | biostudies-other
| S-EPMC10142479 | biostudies-literature
| S-EPMC4249609 | biostudies-literature
| S-EPMC6278867 | biostudies-other