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Loss of PTPRM associates with the pathogenic development of colorectal adenoma-carcinoma sequence.


ABSTRACT: Identification and functional analysis of genes from genetically altered chromosomal regions would suggest new molecular targets for cancer diagnosis and treatment. Here we performed a genome-wide analysis of chromosomal copy number alterations (CNAs) in matching sets of colon mucosa-adenoma-carcinoma samples using high-throughput oligonucleotide microarray analysis. In silico analysis of NCBI GEO and TCGA datasets allowed us to uncover the significantly altered genes (p ? 0.001) associated with the identified CNAs. We performed quantitative PCR analysis of the genomic and complementary DNA derived from primary mucosa, adenoma, and carcinoma samples, and confirmed the recurrent loss and down-regulation of PTPRM in colon adenomas and carcinomas. Functional characterization demonstrated that PTPRM negatively regulates cell growth and colony formation, whereas loss of PTPRM promotes oncogenic cell growth. We further showed that, in accordance to Knudson's two-hit hypothesis, inactivation of PTPRM in colon cancer was mainly attributed to loss of heterozygosity and promoter hypermethylation. Taken together, this study demonstrates a putative tumor suppressive role for PTPRM and that genetic and epigenetic alterations of PTPRM may contribute to early step of colorectal tumorigenesis.

SUBMITTER: Sudhir PR 

PROVIDER: S-EPMC5386118 | biostudies-literature | 2015 Apr

REPOSITORIES: biostudies-literature

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Loss of PTPRM associates with the pathogenic development of colorectal adenoma-carcinoma sequence.

Sudhir Putty-Reddy PR   Lin Shiu-Ting ST   Chia-Wen Chien C   Yang Shung-Haur SH   Li Anna Fen-Yau AF   Lai Rai-Hua RH   Wang Mei-Jung MJ   Chen Yuan-Tsong YT   Chen Chian-Feng CF   Jou Yuh-Shan YS   Chen Jeou-Yuan JY  

Scientific reports 20150424


Identification and functional analysis of genes from genetically altered chromosomal regions would suggest new molecular targets for cancer diagnosis and treatment. Here we performed a genome-wide analysis of chromosomal copy number alterations (CNAs) in matching sets of colon mucosa-adenoma-carcinoma samples using high-throughput oligonucleotide microarray analysis. In silico analysis of NCBI GEO and TCGA datasets allowed us to uncover the significantly altered genes (p ≤ 0.001) associated with  ...[more]

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