Literature DB >> 17982636

A screen of shRNAs targeting tumor suppressor genes to identify factors involved in A549 paclitaxel sensitivity.

Diana Ji1, Stacy L Deeds, Edward J Weinstein.   

Abstract

An shRNA tumor suppressor panel was screened using reverse infection of an A549 tumorigenic cell line and exposing it to a predetermined concentration of paclitaxel, an anticancer drug. The shRNAs targeting a positive control gene, MDR1, were found to effectively decrease mRNA levels and cause cells to become more sensitive to the chemotherapeutic drug. A set of genes were identified in the screen of a panel of tumor suppressors which, when down-regulated, were found to increase or decrease cell sensitivity in regards to treatment with paclitaxel. In many cases, there were multiple clones to a single gene that provided a positive result. The shRNAs targeting SMAD4, LZTS2, ST14 and VHL all increased the cell's sensitivity to paclitaxel. The loss of other tumor suppressors such as GLTSCR2, LATS1, NF1, PTEN, TP53 and WT1 induced a protective effect in the cell, making it more resistant to the effect of the drug. Further investigation of VHL mRNA levels after down-regulation with shRNA show a direct correlation between gene expression levels and paclitaxel sensitivity. This study credits the identified genes with the potential to act as prognostic biomarkers for use in genetic profiling, or even as targets in pathways of tumorigenesis yet to be fully understood.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17982636

Source DB:  PubMed          Journal:  Oncol Rep        ISSN: 1021-335X            Impact factor:   3.906


  16 in total

1.  The ups and downs of DNA repair biomarkers for PARP inhibitor therapies.

Authors:  Xiaozhe Wang; David T Weaver
Journal:  Am J Cancer Res       Date:  2010-01-03       Impact factor: 6.166

2.  Effect of the modulation of leucine zipper tumor suppressor 2 expression on proliferation of various cancer cells functions as a tumor suppressor.

Authors:  Jong Myung Kim; Ji Sun Song; Hyun Hwa Cho; Keun Koo Shin; Yong Chan Bae; Byung Ju Lee; Jin Sup Jung
Journal:  Mol Cell Biochem       Date:  2010-10-02       Impact factor: 3.396

Review 3.  YAP/TAZ Signaling and Resistance to Cancer Therapy.

Authors:  Chan D K Nguyen; Chunling Yi
Journal:  Trends Cancer       Date:  2019-03-27

4.  MISSION LentiPlex pooled shRNA library screening in mammalian cells.

Authors:  Matthew J Coussens; Courtney Corman; Ashley L Fischer; Jack Sago; John Swarthout
Journal:  J Vis Exp       Date:  2011-12-21       Impact factor: 1.355

5.  RNA interference (RNAi) screening approach identifies agents that enhance paclitaxel activity in breast cancer cells.

Authors:  Joshua A Bauer; Fei Ye; Clayton B Marshall; Brian D Lehmann; Christopher S Pendleton; Yu Shyr; Carlos L Arteaga; Jennifer A Pietenpol
Journal:  Breast Cancer Res       Date:  2010-06-24       Impact factor: 6.466

Review 6.  Tumor and host factors that may limit efficacy of chemotherapy in non-small cell and small cell lung cancer.

Authors:  David J Stewart
Journal:  Crit Rev Oncol Hematol       Date:  2010-01-04       Impact factor: 6.312

Review 7.  Tumour suppressor genes in chemotherapeutic drug response.

Authors:  Dulcie Lai; Stacy Visser-Grieve; Xiaolong Yang
Journal:  Biosci Rep       Date:  2012-08       Impact factor: 3.840

8.  rs4919510 in hsa-mir-608 is associated with outcome but not risk of colorectal cancer.

Authors:  Bríd M Ryan; Andrew C McClary; Nicola Valeri; Dillon Robinson; Alessio Paone; Elise D Bowman; Ana I Robles; Carlo Croce; Curtis C Harris
Journal:  PLoS One       Date:  2012-05-11       Impact factor: 3.240

9.  Up-regulation of the Hippo pathway effector TAZ renders lung adenocarcinoma cells harboring EGFR-T790M mutation resistant to gefitinib.

Authors:  Wei Xu; Yunyan Wei; Shuangshuang Wu; Yun Wang; Zhen Wang; Yu Sun; Steven Y Cheng; Jianqing Wu
Journal:  Cell Biosci       Date:  2015-02-05       Impact factor: 7.133

10.  Analysis of high-throughput RNAi screening data in identifying genes mediating sensitivity to chemotherapeutic drugs: statistical approaches and perspectives.

Authors:  Fei Ye; Joshua A Bauer; Jennifer A Pietenpol; Yu Shyr
Journal:  BMC Genomics       Date:  2012-12-17       Impact factor: 3.969

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.