PURPOSE: Alternative cleavage and polyadenylation (APA) of mRNAs is a phenomenon that alters 3'-untranslated region length leading to altered posttranscriptional regulation of gene expression. Changing APA patterns have been shown to result in misregulation of genes involved in carcinogenesis; therefore, we hypothesized that altered APA contributes to progression of colorectal cancer, and that measurement of APA may lead to discovery of novel biomarkers. EXPERIMENTAL DESIGN: We used next-generation sequencing to directly measure global patterns of APA changes during colorectal carcinoma progression in 15 human patient samples. Results were validated in a larger cohort of 50 patients, including 5 normal/carcinoma pairs from individuals. RESULTS: We discovered numerous genes presenting progressive changes in APA. Genes undergoing untranslated region (3'UTR) shortening were enriched for functional groups such as cell-cycle and nucleic acid-binding and processing factors, and those undergoing 3'UTR lengthening or alternative 3'UTR usage were enriched for categories such as cell-cell adhesion and extracellular matrix. We found indications that APA changes result from differential processing of transcripts because of increased expression of cleavage and polyadenylation factors. Quantitative PCR analysis in a larger series of human patient samples, including matched pairs, confirmed APA changes in DMKN, PDXK, and PPIE genes. CONCLUSIONS: Our results suggest that genes undergoing altered APA during human cancer progression may be useful novel biomarkers and potentially targeted for disease prevention and treatment. We propose that the strategy presented here may be broadly useful in discovery of novel biomarkers for other types of cancer and human disease.
PURPOSE: Alternative cleavage and polyadenylation (APA) of mRNAs is a phenomenon that alters 3'-untranslated region length leading to altered posttranscriptional regulation of gene expression. Changing APA patterns have been shown to result in misregulation of genes involved in carcinogenesis; therefore, we hypothesized that altered APA contributes to progression of colorectal cancer, and that measurement of APA may lead to discovery of novel biomarkers. EXPERIMENTAL DESIGN: We used next-generation sequencing to directly measure global patterns of APA changes during colorectal carcinoma progression in 15 humanpatient samples. Results were validated in a larger cohort of 50 patients, including 5 normal/carcinoma pairs from individuals. RESULTS: We discovered numerous genes presenting progressive changes in APA. Genes undergoing untranslated region (3'UTR) shortening were enriched for functional groups such as cell-cycle and nucleic acid-binding and processing factors, and those undergoing 3'UTR lengthening or alternative 3'UTR usage were enriched for categories such as cell-cell adhesion and extracellular matrix. We found indications that APA changes result from differential processing of transcripts because of increased expression of cleavage and polyadenylation factors. Quantitative PCR analysis in a larger series of humanpatient samples, including matched pairs, confirmed APA changes in DMKN, PDXK, and PPIE genes. CONCLUSIONS: Our results suggest that genes undergoing altered APA during humancancer progression may be useful novel biomarkers and potentially targeted for disease prevention and treatment. We propose that the strategy presented here may be broadly useful in discovery of novel biomarkers for other types of cancer and human disease.
Authors: Sarah F Andres; Kathy N Williams; Jacqueline B Plesset; Jeffrey J Headd; Rei Mizuno; Priya Chatterji; Ashley A Lento; Andres J Klein-Szanto; Rosemarie Mick; Kathryn E Hamilton; Anil K Rustgi Journal: Carcinogenesis Date: 2019-06-10 Impact factor: 4.944
Authors: Tingting Weng; Junsuk Ko; Chioniso P Masamha; Zheng Xia; Yu Xiang; Ning-Yuan Chen; Jose G Molina; Scott Collum; Tinne C Mertens; Fayong Luo; Kemly Philip; Jonathan Davies; Jingjing Huang; Cory Wilson; Rajarajan A Thandavarayan; Brian A Bruckner; Soma Sk Jyothula; Kelly A Volcik; Lei Li; Leng Han; Wei Li; Shervin Assassi; Harry Karmouty-Quintana; Eric J Wagner; Michael R Blackburn Journal: J Clin Invest Date: 2019-02-28 Impact factor: 14.808
Authors: Zheng Xia; Lawrence A Donehower; Thomas A Cooper; Joel R Neilson; David A Wheeler; Eric J Wagner; Wei Li Journal: Nat Commun Date: 2014-11-20 Impact factor: 14.919