Abstract

The Biostatistics Core facility will provide statistical support, including related data and computing aspects, for lung cancer research proposed by the SPORE investigators at Dana-Farber/Harvard Cancer Center (DF/HCC). The Core activities will involve collaboration and consultation in genetic epidemiology studies, cell line experiments, animal models, clinical trials and translational analyses with molecular and cellular correlates. In particular, the specific aims are to provide ready and dedicated access to the following: 1. Statistical expertise for design, planning and conduct of research studies. 2. Statistical expertise for data analysis and interpretation, including interim monitoring and scientific reporting. 3. Consultation on developing and implementing plans for data collection and database specifications, including forms design and data entry. 4. Consultation on developing and implementing plans for data management, quality control and administrative reporting. 5. Computing facilities and resources for statistical and related requirements, including data transfer, merging, sharing and security.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center (P50)
Project #
5P50CA090578-07
Application #
7888232
Study Section
Special Emphasis Panel (ZCA1)
Project Start
Project End
Budget Start
2009-07-01
Budget End
2010-06-30
Support Year
7
Fiscal Year
2009
Total Cost
$141,780
Indirect Cost

  Institution

Name
Dana-Farber Cancer Institute
Department
Type
DUNS #
076580745
City
Boston
State
MA
Country
United States
Zip Code
02215

  Publications

VanderLaan, Paul A; Rangachari, Deepa; Majid, Adnan et al. (2018) Tumor biomarker testing in non-small-cell lung cancer: A decade of change. Lung Cancer 116:90-95
Xu, Yinghui; Liu, Hongliang; Liu, Shun et al. (2018) Genetic variant of IRAK2 in the toll-like receptor signaling pathway and survival of non-small cell lung cancer. Int J Cancer 143:2400-2408
Ji, Xuemei; Bossé, Yohan; Landi, Maria Teresa et al. (2018) Identification of susceptibility pathways for the role of chromosome 15q25.1 in modifying lung cancer risk. Nat Commun 9:3221
Guo, Yichen; Zhang, Ruyang; Shen, Sipeng et al. (2018) DNA Methylation of LRRC3B: A Biomarker for Survival of Early-Stage Non-Small Cell Lung Cancer Patients. Cancer Epidemiol Biomarkers Prev 27:1527-1535
Haines, Eric; Chen, Ting; Kommajosyula, Naveen et al. (2018) Palbociclib resistance confers dependence on an FGFR-MAP kinase-mTOR-driven pathway in KRAS-mutant non-small cell lung cancer. Oncotarget 9:31572-31589
Wang, Zhaoxi; Wei, Yongyue; Zhang, Ruyang et al. (2018) Multi-Omics Analysis Reveals a HIF Network and Hub Gene EPAS1 Associated with Lung Adenocarcinoma. EBioMedicine 32:93-101
Torous, Vanda F; Rangachari, Deepa; Gallant, Benjamin P et al. (2018) PD-L1 testing using the clone 22C3 pharmDx kit for selection of patients with non-small cell lung cancer to receive immune checkpoint inhibitor therapy: are cytology cell blocks a viable option? J Am Soc Cytopathol 7:133-141
Ferreiro-Iglesias, Aida; Lesseur, Corina; McKay, James et al. (2018) Fine mapping of MHC region in lung cancer highlights independent susceptibility loci by ethnicity. Nat Commun 9:3927
VanderLaan, Paul A; Rangachari, Deepa; Mockus, Susan M et al. (2017) Mutations in TP53, PIK3CA, PTEN and other genes in EGFR mutated lung cancers: Correlation with clinical outcomes. Lung Cancer 106:17-21
Rangachari, Deepa; VanderLaan, Paul A; Shea, Meghan et al. (2017) Correlation between Classic Driver Oncogene Mutations in EGFR, ALK, or ROS1 and 22C3-PD-L1 ?50% Expression in Lung Adenocarcinoma. J Thorac Oncol 12:878-883

Showing the most recent 10 out of 263 publications