Clinical OMICs - Issue 8 - (Page 4)
Patient-Derived
Xenografts for
Cancer Therapeutics
Development and
Predictive Modeling
Speakers
Webinars
Free Registration!
www.GENengnews.com/xenograft
Philip C. Mack, Ph.D.
Associate Adjunct
Professor and Director
of Pharmacology
UC Davis Cancer Center
Chong-Xian Pan,
M.D., Ph.D.
Associate Professor,
Hematology and Oncology,
UC Davis Cancer Center
Walter Ausserer, Ph.D.
Senior Business
Unit Manager,
In Vivo Pharmacology Services,
The Jackson Laboratory
View it Now!
On Demand
4
Patient-derived xenograft (PDX) tumor models
retain much of the biological diversity and heterogeneity of the original patient tumor. Recent advances
in the development of these models and their increasing sophistication have led to their increasing
use for anticancer drug research and development
and as predictive clinical models.
In this webinar, experts from the University of
California, Davis Comprehensive Cancer Center will
describe their experience using PDX tumor models
derived from fresh clinical samples of human lung
and bladder tumors. Philip C. Mack, Ph.D., and ChongXian Pan, M.D., Ph.D., will discuss whole exome, transcriptome, and microRNA sequencing, followed by
computational biological analysis to identify genetic
alterations validated with immunofluorescence and
immunohistochemical staining.
The presenters will also discuss the details of PDX
molecular characterization studies, including driver
mutations and copy number variation. In addition, the
implications of recent PDX studies for patient selection
and treatment algorithms will be addressed.
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Table of Contents for the Digital Edition of Clinical OMICs - Issue 8
Contents
Clinical OMICs - Issue 8
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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