Literature DB >> 19767776

Loss-of-function genetic screens as a tool to improve the diagnosis and treatment of cancer.

J Mullenders1, R Bernards.   

Abstract

A major impediment to the effective treatment of cancer is the molecular heterogeneity of the disease, which is also reflected in an equally diverse pattern of clinical responses to therapy. Currently, only few drugs are available that can be used safely and effectively to treat cancer. To improve this situation, the development of novel and highly specific targets for therapy is of utmost importance. Possibly even more importantly, we need better tools to predict which patients will respond to specific therapies. Such drug response biomarkers will be instrumental to individualize the therapy of patients having seemingly similar cancers. In this study, we discuss how RNA interference-based genetic screens can be used to address these two pressing needs in the care for cancer patients.

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Year:  2009        PMID: 19767776     DOI: 10.1038/onc.2009.295

Source DB:  PubMed          Journal:  Oncogene        ISSN: 0950-9232            Impact factor:   9.867


  38 in total

Review 1.  In vivo functional screening for systems-level integrative cancer genomics.

Authors:  Julia Weber; Christian J Braun; Dieter Saur; Roland Rad
Journal:  Nat Rev Cancer       Date:  2020-07-07       Impact factor: 60.716

2.  RNAi screening identifies HAT1 as a potential drug target in esophageal squamous cell carcinoma.

Authors:  Liang Xue; Jun Hou; Qun Wang; Liqing Yao; Songtao Xu; Di Ge
Journal:  Int J Clin Exp Pathol       Date:  2014-06-15

3.  Whole genome RNAi screens reveal a critical role of REV3 in coping with replication stress.

Authors:  Ilya N Kotov; Ellen Siebring-van Olst; Philip A Knobel; Ida H van der Meulen-Muileman; Emanuela Felley-Bosco; Victor W van Beusechem; Egbert F Smit; Rolf A Stahel; Thomas M Marti
Journal:  Mol Oncol       Date:  2014-07-22       Impact factor: 6.603

4.  Genetic and pharmacological reactivation of the mammalian inactive X chromosome.

Authors:  Sanchita Bhatnagar; Xiaochun Zhu; Jianhong Ou; Ling Lin; Lynn Chamberlain; Lihua J Zhu; Narendra Wajapeyee; Michael R Green
Journal:  Proc Natl Acad Sci U S A       Date:  2014-08-18       Impact factor: 11.205

5.  Architecture of pharmacogenomic associations: structures with functional foundations or castles made of sand?

Authors:  Dylan M Glubb; Federico Innocenti
Journal:  Pharmacogenomics       Date:  2013-01       Impact factor: 2.533

6.  Targeting lymphatic vessel functions through tyrosine kinases.

Authors:  Steven P Williams; Tara Karnezis; Marc G Achen; Steven A Stacker
Journal:  J Angiogenes Res       Date:  2010-08-11

7.  Rapid assessment of RNAi-mediated protein depletion by selected reaction monitoring mass spectrometry.

Authors:  Veronika A Glukhova; Daniela M Tomazela; Geoffrey D Findlay; Raymond J Monnat; Michael J MacCoss
Journal:  J Proteome Res       Date:  2013-06-10       Impact factor: 4.466

Review 8.  Phenotypic screening with primary neurons to identify drug targets for regeneration and degeneration.

Authors:  Daniel J Cooper; Giulia Zunino; John L Bixby; Vance P Lemmon
Journal:  Mol Cell Neurosci       Date:  2016-07-18       Impact factor: 4.314

9.  STOP gene Phactr4 is a tumor suppressor.

Authors:  Nicole L Solimini; Anthony C Liang; Chunxiao Xu; Natalya N Pavlova; Qikai Xu; Teresa Davoli; Mamie Z Li; Kwok-Kin Wong; Stephen J Elledge
Journal:  Proc Natl Acad Sci U S A       Date:  2013-01-14       Impact factor: 11.205

10.  Genetic and Proteomic Interrogation of Lower Confidence Candidate Genes Reveals Signaling Networks in β-Catenin-Active Cancers.

Authors:  Joseph Rosenbluh; Johnathan Mercer; Yashaswi Shrestha; Rachel Oliver; Pablo Tamayo; John G Doench; Itay Tirosh; Federica Piccioni; Ella Hartenian; Heiko Horn; Lola Fagbami; David E Root; Jacob Jaffe; Kasper Lage; Jesse S Boehm; William C Hahn
Journal:  Cell Syst       Date:  2016-09-28       Impact factor: 10.304

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