Literature DB >> 26853146

Allele-Specific Reprogramming of Cancer Metabolism by the Long Non-coding RNA CCAT2.

Roxana S Redis1, Luz E Vela2, Weiqin Lu3, Juliana Ferreira de Oliveira4, Cristina Ivan5, Cristian Rodriguez-Aguayo1, Douglas Adamoski4, Barbara Pasculli1, Ayumu Taguchi6, Yunyun Chen7, Agustin F Fernandez8, Luis Valledor9, Katrien Van Roosbroeck1, Samuel Chang1, Maitri Shah1, Garrett Kinnebrew10, Leng Han11, Yaser Atlasi12, Lawrence H Cheung1, Gilbert Y Huang1, Paloma Monroig1, Marc S Ramirez13, Tina Catela Ivkovic14, Long Van2, Hui Ling1, Roberta Gafà15, Sanja Kapitanovic16, Giovanni Lanza15, James A Bankson13, Peng Huang6, Stephen Y Lai7, Robert C Bast1, Michael G Rosenblum1, Milan Radovich10, Mircea Ivan17, Geoffrey Bartholomeusz1, Han Liang18, Mario F Fraga19, William R Widger2, Samir Hanash20, Ioana Berindan-Neagoe21, Gabriel Lopez-Berestein22, Andre L B Ambrosio4, Sandra M Gomes Dias4, George A Calin23.   

Abstract

Altered energy metabolism is a cancer hallmark as malignant cells tailor their metabolic pathways to meet their energy requirements. Glucose and glutamine are the major nutrients that fuel cellular metabolism, and the pathways utilizing these nutrients are often altered in cancer. Here, we show that the long ncRNA CCAT2, located at the 8q24 amplicon on cancer risk-associated rs6983267 SNP, regulates cancer metabolism in vitro and in vivo in an allele-specific manner by binding the Cleavage Factor I (CFIm) complex with distinct affinities for the two subunits (CFIm25 and CFIm68). The CCAT2 interaction with the CFIm complex fine-tunes the alternative splicing of Glutaminase (GLS) by selecting the poly(A) site in intron 14 of the precursor mRNA. These findings uncover a complex, allele-specific regulatory mechanism of cancer metabolism orchestrated by the two alleles of a long ncRNA.
Copyright © 2016 Elsevier Inc. All rights reserved.

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Year:  2016        PMID: 26853146      PMCID: PMC4982398          DOI: 10.1016/j.molcel.2016.01.015

Source DB:  PubMed          Journal:  Mol Cell        ISSN: 1097-2765            Impact factor:   17.970


  41 in total

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