Clinical OMICs - Issue 5 - (Page 27)

CANCER AVATARS (continued from p. 7) sensitivity of patient-derived cancer cells." The researchers explained that they began by probing the results from a recent hypothesis-independent, empirical study by Garnett and co-workers that analyzed the sensitivity of hundreds of profiled cancer cell lines to 130 different anticancer agents. They then used the tumor model to predict the sensitivity of patient-derived GBM cell lines to different targeted therapeutic agents. "Among the drug-mutation associations reported in the Garnett study, our in silico model accurately predicted ~85% of the associations," wrote the authors. "While testing the model in a prospective manner using simulations of patient-derived GBM cell lines, we compared our simulation predictions with experimental data using the same cells in vitro. This analysis yielded a ~75% agreement of in silico drug sensitivity with in vitro experimental findings." "Genomics tells us that cancers are a lot like snowflakes. No two cancers are alike so it does not make sense to give all patients the same drugs. This is the idea behind personalizing therapies for cancer," said lead author Sandeep Pingle, M.D., Ph.D., a project scientist in the laboratory of Santosh Kesari, M.D., Ph.D., chief of the division of Neuro-Oncology, professor in the department of neurosciences, director of Neuro-Oncology at UC San Diego Moores Cancer Center and the study's senior author. "With the virtual cell model, we can take into account all the complexity of cellular processes to predict which drugs will be the most effective against a particular tumor based on its genomic profile," Dr. Pingle added. "This is a first step toward personalized medicine." In addition to being an e-publication, Clinical OMICs is a website. www.clinicalomics.com is updated frequently with information about relevant scientific advances, novel tests, new guidelines, and critical ethical and reimbursement issues. You can access the current as well as past issues of Clinical OMICs in the archives tab. Check it out daily! 85% of all U.S. cancer patients are initially diagnosed in community hospitals. Expand Dx™ brings personalized treatment to community hospitals. Expand Dx™ is designed to enhance and expand community hospitals offerings in cancer diagnostics and personalized cancer treatment by introducing new methodologies and testing. This program works to build on the laboratories' capabilities to increase efficiency and to help them thrive in today's evolving market. Learn more at www.cancergenetics.com www.clinicalomics.com June 12, 2014 Clinical OMICs 27 http://www.clinicalomics.com http://www.cancergenetics.com/laboratory-services/cgi-expand-dx/ http://ir.cancergenetics.com/ https://www.facebook.com/CancerGenetics https://twitter.com/Cancer_Genetics https://www.linkedin.com/company/cancer-genetics-inc. https://www.pinterest.com/cancergenetics/ http://www.cancergenetics.com http://www.clinicalomics.com

Table of Contents for the Digital Edition of Clinical OMICs - Issue 5

Contents

Clinical OMICs - Issue 5

https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol3iss9
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol3iss8
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol3iss7
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol3iss6
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol3iss5
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol3iss4
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol3iss3
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol3iss2
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol3iss1
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol2iss12
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol2iss11
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol2iss10
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol2iss9
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol2iss8
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol2iss7
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol2iss6
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol2iss5
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol2iss4
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol2iss3
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol2iss2
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_vol2iss1
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_issue15
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_issue14
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_issue13
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_issue12
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_issue11
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_issue10
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_issue9
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_issue8
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_issue7
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_issue6
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_issue5
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_issue4
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_issue3
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_issue2
https://www.nxtbook.com/nxtbooks/gen/clinical_omics_issue1
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