Literature DB >> 28679956

Pioglitazone-mediated reversal of elevated glucose metabolism in the airway epithelium of mouse lung adenocarcinomas.

Donghai Xiong1,2, Jing Pan1,2, Qi Zhang1,2, Eva Szabo3, Mark Steven Miller4, Ronald A Lubet4, Yian Wang1,2, Ming You1,2.   

Abstract

Airway epithelial cells are prone to the damage caused by lung cancer risk factors, such as cigarette smoking. Little is known about surrogate biomarkers in the bronchial airway epithelium that can be used to assess the effect of potential chemoprevention drugs on lung adenocarcinoma formation/progression. Pioglitazone has been suggested as a chemoprevention drug for lung cancer. To study the mechanisms underlying the role of pioglitazone in lung cancer prevention, we performed transcriptome sequencing (RNA-Seq) and found that Kras signaling was repressed by pioglitazone treatment in the airway epithelial cells of mice with lung adenocarcinoma (FDR q = 9.8E-04). It was also found that glucose metabolic pathways were elevated in the airway epithelium of mice with lung adenocarcinomas and inhibited by pioglitazone treatment (FDR q = 0.01). Downregulation of glucose metabolism genes was also observed in lung tumors of mice treated with pioglitazone. The high-risk expression signature of elevated glucose metabolism was associated with poor survival outcome in multiple lung adenocarcinoma patient populations (P values ranging from 1.0E-9 to 5.5E-5). Our results suggest that the role of pioglitazone in preventing lung adenocarcinoma may depend on inhibiting Kras signaling and glucose metabolism, which may serve as biomarkers of agent action in the airway epithelium.

Entities:  

Keywords:  Genetics; Oncology

Year:  2017        PMID: 28679956      PMCID: PMC5499364          DOI: 10.1172/jci.insight.94220

Source DB:  PubMed          Journal:  JCI Insight        ISSN: 2379-3708


  46 in total

1.  Chemopreventive effects of pioglitazone on chemically induced lung carcinogenesis in mice.

Authors:  Yian Wang; Michael James; Weidong Wen; Yan Lu; Eva Szabo; Ronald A Lubet; Ming You
Journal:  Mol Cancer Ther       Date:  2010-11-02       Impact factor: 6.261

2.  SIRT3-dependent GOT2 acetylation status affects the malate-aspartate NADH shuttle activity and pancreatic tumor growth.

Authors:  Hui Yang; Lisha Zhou; Qian Shi; Yuzheng Zhao; Huaipeng Lin; Mengli Zhang; Shimin Zhao; Yi Yang; Zhi-Qiang Ling; Kun-Liang Guan; Yue Xiong; Dan Ye
Journal:  EMBO J       Date:  2015-03-09       Impact factor: 11.598

3.  Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

Authors:  Aravind Subramanian; Pablo Tamayo; Vamsi K Mootha; Sayan Mukherjee; Benjamin L Ebert; Michael A Gillette; Amanda Paulovich; Scott L Pomeroy; Todd R Golub; Eric S Lander; Jill P Mesirov
Journal:  Proc Natl Acad Sci U S A       Date:  2005-09-30       Impact factor: 11.205

4.  Distinct patterns of genetic alterations in adenocarcinoma and squamous cell carcinoma of the lung.

Authors:  S M-H Sy; N Wong; T-W Lee; G Tse; T S-K Mok; B Fan; E Pang; P J Johnson; A Yim
Journal:  Eur J Cancer       Date:  2004-05       Impact factor: 9.162

5.  The mutational landscapes of genetic and chemical models of Kras-driven lung cancer.

Authors:  Peter M K Westcott; Kyle D Halliwill; Minh D To; Mamunur Rashid; Alistair G Rust; Thomas M Keane; Reyno Delrosario; Kuang-Yu Jen; Kay E Gurley; Christopher J Kemp; Erik Fredlund; David A Quigley; David J Adams; Allan Balmain
Journal:  Nature       Date:  2014-11-02       Impact factor: 49.962

6.  Pathview: an R/Bioconductor package for pathway-based data integration and visualization.

Authors:  Weijun Luo; Cory Brouwer
Journal:  Bioinformatics       Date:  2013-06-04       Impact factor: 6.937

7.  HTSeq--a Python framework to work with high-throughput sequencing data.

Authors:  Simon Anders; Paul Theodor Pyl; Wolfgang Huber
Journal:  Bioinformatics       Date:  2014-09-25       Impact factor: 6.937

8.  Targeting glutamine metabolism sensitizes pancreatic cancer to PARP-driven metabolic catastrophe induced by ß-lapachone.

Authors:  Gaurab Chakrabarti; Zachary R Moore; Xiuquan Luo; Mariya Ilcheva; Aktar Ali; Mahesh Padanad; Yunyun Zhou; Yang Xie; Sandeep Burma; Pier P Scaglioni; Lewis C Cantley; Ralph J DeBerardinis; Alec C Kimmelman; Costas A Lyssiotis; David A Boothman
Journal:  Cancer Metab       Date:  2015-10-12

9.  edgeR: a Bioconductor package for differential expression analysis of digital gene expression data.

Authors:  Mark D Robinson; Davis J McCarthy; Gordon K Smyth
Journal:  Bioinformatics       Date:  2009-11-11       Impact factor: 6.937

10.  Mutant Kras copy number defines metabolic reprogramming and therapeutic susceptibilities.

Authors:  Emma M Kerr; Edoardo Gaude; Frances K Turrell; Christian Frezza; Carla P Martins
Journal:  Nature       Date:  2016-02-24       Impact factor: 49.962

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.