Long before the inception of PDXNet, the BCM group comprising the Biostatistics and Informatics Core (BIC) was supporting PDX collection, characterization, and annotation, and design and analysis of PDX trials. M- PDTC BIC members are also members of the Dan L Duncan Comprehensive Cancer Center?s (DLDCCC) Biostatistics and Informatics Shared Resource at BCM, which is led by Dr. Hilsenbeck. This also allows us to leverageresourcesandexpertiseintheSharedResource,asneeded,toaddressunanticipatedneeds. The goals of the Biostatistics and Informatics Core, which are specifically focused on biostatistics and data management, are: 1) To assist the BCM M-PDTC with compiling, curating, analyzing, transmitting, and receiving data to/from investigators, other PDTCs, the coordinating center (PDCCC), and the patient-derived model repository (PDMR);? and 2) To assist BCM M-PDTC research projects and pilot projects with statistical methods, PDX trial design, and integration/interpretation of complex data sets in collaboration with PDTC members. With expertise in statistical methods, trial design, insight into integration and interpretation of complex data sets,andexpertiseandtoolsforbiomedicalinformaticsanddatamanagement,wewillhelpsupportthegoalof the PDXnet of correlating genomic characterization data of PDX models used in the research projects with drug response data to identify tumor subsets andpatient populations that may benefit from a particular drug combination. The proposed Biostatistics and Informatics Core (BIC) is an expansion, at BCM, of the Bioinformatics and Biostatistics Core in our Breast Cancer PDTC (PIs: Welm, Welm and Lewis). The expansion is necessary to supportextensionofcriticalbiostatisticalandinformaticservicestothisMinorityPDTC.Thecloserelationship between the two Cores ensures the use of common practices for data management, allows us to leverage development of data sharing processes, and ensures the use of cross-PDTC standardized experimental designsandanalysismethodswhereverpossible.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
1U54CA233223-01
Application #
9627118
Study Section
Special Emphasis Panel (ZCA1)
Project Start
2018-09-20
Project End
2023-06-30
Budget Start
2018-09-01
Budget End
2019-08-31
Support Year
1
Fiscal Year
2018
Total Cost
Indirect Cost
Name
Baylor College of Medicine
Department
Type
DUNS #
051113330
City
Houston
State
TX
Country
United States
Zip Code
77030
Matsunuma, Ryoichi; Chan, Doug W; Kim, Beom-Jun et al. (2018) DPYSL3 modulates mitosis, migration, and epithelial-to-mesenchymal transition in claudin-low breast cancer. Proc Natl Acad Sci U S A 115:E11978-E11987